Job Description

• Work with practice leaders and clients to understand business problems, industry context, data sources, potential risks, and constraints 
• Problem-solve with practice leaders to translate the business problem into a workable Data Science solution; propose different approaches and their pros and cons  
• Work with practice leaders to get stakeholder feedback, get alignment on approaches, deliverables, and roadmaps 
• You will work as part of our global Data Science team to provide data driven AI solutions for our customers using state-of-the-art Machine Learning methods and tools. 
• Create and maintain efficient data pipelines, often within clients’ architecture. Typically, data are from a wide variety of sources, internal and external, and manipulated using SQL, spark, and Cloud big data technologies 
• Assemble large, complex data sets from client and external sources that meet functional business requirements. 
• Build analytics tools to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.  
• Perform data cleaning/hygiene, data QC, and integrate data from both client internal and external data sources on Advanced Data Science Platform. Be able to summarize and describe data and data issues  
• Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings toward decision making 
• Train, validate, and cross-validate predictive models and machine learning algorithms using state of the art Data Science techniques and tools 
• Document predictive models/machine learning results that can be incorporated into client-deliverable documentation 
• Assist client to deploy models and algorithms within their own architecture 

Qualifications

• MS degree in Statistics, Math, Data Analytics, or a related quantitative field 
• 5+ years Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization 
• Demonstrated Experience with NLP and other components of AI
• Experience implementing AI solutions
• Experience with one or more Advanced Data Science software languages (Python, R, SAS)  
• Proven ability to deploy machine learning models from the research environment (Jupyter Notebooks) to production via procedural or pipeline approaches 
• Experience with SQL and relational databases, query authoring and tuning as well as working familiarity with a variety of databases including Hadoop/Hive 
• Experience with spark and data-frames in PySpark or Scala 
• Strong problem-solving skills; ability to pivot complex data to answer business questions. Proven ability to visualize data for influencing. 
• Comfortable with cloud-based platforms (AWS, Azure, Google) 
• Experience with Google Analytics, Adobe Analytics, Optimizely a plus 

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Job Description

The AEM Technical Product Manager at Blend plays a crucial role in the strategic development and operational execution of technology projects, specifically utilizing Adobe Experience Manager (AEM). This position requires a unique mix of technical skill, strategic planning, and team leadership to deliver digital solutions that align with our business goals and enhance customer experience. The Technical Product Manager will be instrumental in driving the evolution of our digital platforms, ensuring they meet and exceed the needs of our users and stakeholders.

What You Will Be Doing:

• Strategy and Collaboration: Assess technology project costs and benefits, prioritize initiatives, and lead cross-functional teams to refine requirements and document specifications. Recommend and implement integration strategies.

• Project Management and Execution: Manage the product backlog, coordinate solution development, and oversee project implementations to ensure quality and adherence to timelines.

• Technical Design and Analysis: Lead technical design sessions, translate requirements into technical specifications, and propose improvements to business processes.

• Agile Practices and Communication: Facilitate Agile methodologies, acting as a communication hub between technical teams and stakeholders to optimize the use of AEM and related technologies.

Qualifications

• Bachelor's degree in Information Technology or a related field; Master's degree preferred.
• 3-5 years of experience with Adobe Experience Manager.
• Experience in front-end technologies (JavaScript, HTML) with a preference for full-stack capabilities.
• Demonstrated success in digital project management and web application development.
• Strong skills in project scoping, estimation, scheduling, and resource management.
• Excellent critical thinking, communication, and relationship management abilities.
• Agile methodology proficiency, with experience using tools like Jira and Asana.
• Certified Scrum Master (CSM) or equivalent experience preferred.

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Job Description

• Development of web applications using React and .NET 

• Application deployment and Terraform orchestration. 

• Guide the software development process through high-level decision making. 

• Able to perform code reviews and ensure clean code based on client requirements. 

• Work together with internal business partners to identify and implement improvements.  

• Manage the design, development, and implementation of software solutions. 

• Follow scalable architectural practices to build fault-tolerant distributed systems. 

• Promote, implement, and evolve development best practices. 

Qualifications

• Studies in Computer Science or equivalent. 

• Proficiency in C#/.NET and React. 

• Knowledge of AWS is a must. 

• Familiarity with DevOps tools (Terraform, Jenkins, CI/CD pipelines) among others. 

• Extensive experience with SQL or relational databases with Snowflake being a plus. 

• Groovy is a plus 

• The ability to review code successfully to make projects come to term. 

• Able to collaborate effectively with others as well as perform tasks autonomously. 

What about languages? 

You will need excellent written and verbal English for clear and effective communication with the team. 

How much experience must I have? 

In order to thrive in this role, you must have at least 5+ years as a Software Architect working especially with .NET and React.  

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Job Description

• Design and deploy cloud infrastructure using Terraform/CloudFormation.
• Ensure efficient performance of Big Data applications on AWS/GCP.
• Implement automation for resource scaling and management.
• Create and maintain CI/CD pipelines for seamless data workflow deployment.
• Automate testing, building, and deployment processes.
• Establish robust security measures for protecting sensitive Big Data (Hadoop / Trino/ Spark/ Kafka /Airflow).  
• Design scalable architecture using techniques like autoscaling and load balancing.
• Optimize system performance to handle varying workloads.
  Proactively address issues to ensure continuous Big Data application operation.
• Collaborate closely with data engineers, scientists, and cross-functional teams.

Qualifications

• Studies in Computer Science, Engineering, or a related field (or equivalent experience).
• Strong expertise in AWS or GCP services. 
• Proficiency in scripting languages such as Python and Bash.
• Familiarity with key Big Data tools and technologies (is a plus)
• Experience with infrastructure-as-code tools (Terraform/CloudFormation/Kubernetes).
• Strong problem-solving skills and ability to troubleshoot complex issues.
• Effective communication and teamwork skills in a collaborative environment.

What about languages?

Excellent written and verbal English for clear and effective communication is a must!

How much experience must I have?

We are looking for +8 years of hands-on DevOps experience

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Job Description

• Defining and prioritizing the product backlog based on input from stakeholders.
• Working closely with the development team to ensure that the product backlog items are delivered on time and meet the acceptance criteria.
• Responsible for priorization, sprint goals and corresponding user stories, while ensuring deployment memos are consistent with business priorities from the Business Owner.
• Drafting documents and communicating requirements to platform architects and developers.
• Collaborating across the organization to coordinate cross domain work that requires loyalty platform work.
• Creating a backlog of development ready features/requirements/intakes for the loyalty platform. 
• Mantaining and identifying any additional performance improvement intakes required.
• Presenting at program review meetings.
• Mapping out discovery, design, development and launch schedules.
• Monitoring and reporting on the progress of the product development, and make adjustments to the roadmap as necessary.

Qualifications

• Bachelor's degree in a related field (e.g., Computer Science, Engineering, Business) or equivalent work experience.
• Proven experience as a Product Owner or similar role in the IT field. 
• Strong understanding of Agile methodologies.
• Excellent communication and interpersonal skills.
• Ability to work independently.
• Experience with project management tools, such as Jira or Trello.
• Certification in Agile (e.g., Certified Scrum Product Owner) is a plus.

What about languages? 

Excellent written and verbal English for clear and effective communication is a must! 

How much experience must I have? 

We're looking for someone with 5+ years of experience as a Product Owner.  

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Job Description

THIS IS A 6-9 MONTH CONTRACT ENGAGEMENT and requires 3 days of onsite work in Riverwoods, IL. 

 We are seeking a highly experienced Senior Solution Architect with a specialization in Customer Data Management to join our dynamic team. The ideal candidate will have a strong background in solution architecture, particularly in data management and digital marketing technologies, with a proven track record of successfully implementing Customer Data Platforms (CDPs). As a Senior Solution Architect, you will play a pivotal role in designing and implementing robust data architectures to meet our clients' evolving needs.

Key Responsibilities:

• Lead the design and implementation of comprehensive data management solutions, with a focus on Customer Data Platforms (CDPs), to meet the specific requirements of our clients.
• Evaluate and select appropriate database architectures, including Graph, Relational, and NoSQL databases, considering their implications on business objectives and data privacy regulations.
• Define and implement application data architectures that facilitate seamless data integration, enhance data quality, and support effective decision-making.
• Collaborate with cross-functional teams to develop data models, ETL processes, and data integration strategies that align with project goals and client expectations.
• Provide technical leadership and guidance to project teams, ensuring the successful delivery of projects on time and within budget.
• Stay updated on industry trends, emerging technologies, and best practices in data management and customer data platforms, and share knowledge with internal teams and clients.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field.
• Minimum of 8 years of experience in solution architecture, with a significant focus on data management, digital marketing technologies, and CDP implementation.
• Expert knowledge of various database technologies (Graph, Relational, NoSQL) and their applications in customer data management.
• Demonstrated capability to evaluate and select database architectures, with a comprehensive understanding of their impacts on business objectives.
• Strong foundation in data architecture, data modeling, and ETL processes, with familiarity in data integration and quality tools.
• In-depth knowledge of data privacy laws (GDPR, CCPA) and their implications on database and CDP architecture.
• In-depth knowledge of CDP vendors, features, capabilities, and best practices.
• Proven hands-on CDP implementation history.
• Proven leadership skills with the ability to manage cross-functional teams and communicate effectively with stakeholders at all levels.
• Commitment to staying at the forefront of technology trends in data management and customer data platforms.

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Job Description

As a Senior Consultant specializing in Enterprise & IT Value, you will guide organizations through a transformative journey leveraging technology to drive growth, enhance efficiency, and foster innovation. Working with diverse clients across industries, you will help reimagine growth strategies, realign organizations, adopt agile practices, create adaptable technology cores, and empower talent to innovate with technology.

Responsibilities:

• Strategy Transformation: Develop and implement strategies leveraging technology to drive growth and enhance competitiveness, collaborating with clients to understand unique challenges and opportunities.
• Organizational Realignment: Assist organizations in integrating technology at the core of their business by realigning structures, processes, and cultures to foster a technology-first mindset.
• Practices Optimization: Guide clients in adopting agile practices, fostering a culture of experimentation, and ensuring they stay at the forefront of industry best practices.
• Technology Core Development: Lead the creation of flexible and sustainable technology cores enabling organizations to adapt to changing market dynamics and technological advancements.
• Talent Empowerment: Work with clients to empower their workforce to innovate with technology, providing training, mentorship, and support in building technology capabilities.

Qualifications

Educational Qualifications: Bachelor's or master's degree in a relevant field (e.g., Business, IT, Management).

• Professional Experience: Minimum 10 years of consulting experience, focusing on enterprise and IT value strategy.
• Strategic Thinking: Ability to develop and implement growth strategies powered by technology.
• Change Management: Proficiency in change management techniques, guiding organizations through organizational realignment.
• Agile Expertise: Experience in adopting and implementing agile methodologies, fostering a culture of experimentation.
• Technology Acumen: Deep understanding of technology trends and their impact on businesses, including proficiency in digital transformation, cloud computing, and emerging technologies. 
• Interpersonal Skills: Excellent communication skills, building strong relationships with clients and collaborating effectively with cross-functional teams.
• Leadership: Demonstrated leadership abilities, managing project teams, inspiring and guiding clients and colleagues.
• Problem-Solving: Strong problem-solving skills, addressing complex business challenges effectively.
• Adaptability: Capability to adapt to different industries and client needs, showcasing versatility and a proactive approach.
• Client Relationship Management: Proven experience in managing client relationships, understanding client needs, and delivering value-driven solutions.
• Certifications: Relevant certifications in consulting, project management, or technology strategy are a plus.

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Job Description

What is this position about? 

As a Data Science Engineer you'll collaborate closely with business leaders to address our clients' diverse business challenges. Our engagements span across various sectors including marketing, revenue management, customer service, inventory management, and other key aspects of contemporary business. Our Data Science Engineer possesses the business acumen to deploy data-driven solutions across a spectrum of business models and situations. 

You may work 100% remotely if you are currently living in LATAM or you can always join us at the office in Montevideo, Uruguay!

Job Description

• Working with practice leaders and clients to understand business problems, industry context, data sources, risks, and constraints.
• Solving challenges through diverse Data Science solutions and aligning stakeholders on strategies, deliverables, and roadmaps. 
• Developing project plans with milestones, dates, owners, and risk contingency, creating and maintaining efficient data pipelines within clients' architecture using SQL, Spark, and Cloud technologies.
• Assembling large, complex datasets that meet business requirements and constructing analytics tools to provide actionable insights for customer acquisition and operational efficiency.
• Performing data cleaning, QC, and integration on an Advanced Data Science Platform, summarizing data issues and conducting statistical analysis for decision-making.
• Training, validate, and cross-validate predictive models using cutting-edge techniques and documenting results for client deliverables.

Qualifications

Qualifications

• MS degree in Statistics, Math, Data Analytics, or a related quantitative field. 
• 4+ years Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting optimization. 
• Experience with one or more Advanced Data Science software languages (Python, R, SAS). 
• Proven ability to deploy machine learning models. 
• Experience with SQL and relational databases, query authoring and tuning. Working familiarity with various databases including Hadoop/Hive.
• Experience with Spark and data-frames in PySpark or Scala.
• Strong problem-solving skills; ability to pivot complex data to answer business questions.
• Familiar with geospatial tools
• Proficiency in Data Visualization
• Ability to think creatively
• Comfortable with cloud-based platforms (AWS, Azure, Google).
• Experience with Google Analytics, Adobe Analytics and/or Optimizely are a plus.

What about languages? 

You will need excellent written and verbal English for clear and effective communication with the team. 

How much experience must I have? 

We're looking for someone with 4+ years' of experience in similar roles. 

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Job Description

We are seeking a highly experienced and dynamic Associate Director to join our dynamic team to driving media strategies through insightful analytics, providing leadership in the analysis of media data to optimize our media investments and initiatives for our clients. The ideal candidate will have a deep understanding of media analytics, data analysis, and reporting tools, combined with strategic thinking and leadership skills.

Key Responsibilities:

• Lead the delivery & team with a strategic vision, providing guidance, mentorship, and thought leadership. Drive the development and execution of innovative analytics strategies providing value to client.
• Actively mentor team members, drive continuous learning and development. Identify individual and team strengths and development areas, tailoring mentorship, and training programs to enhance skills and career growth.
• Utilize analytical techniques to analyse media data comprehensively. Identify trends, insights, and optimization opportunities, translating complex data into actionable strategies that propel media performance and ROI.
• Create and refine comprehensive reports and dashboards for stakeholders, demonstrating media performance, insights, and value generated. Ensure data storytelling aligns with stakeholder needs, facilitating informed decision-making.
• Evaluate and adopt new analytics tools, technologies, and methodologies to advance the media analytics capability. Lead optimization efforts based on analytical insights, pushing the boundaries of media strategy and execution.
• Actively contribute to the growth of the media analytics capability by participating in proposal drafting for new projects and initiatives. Leverage insights and expertise to craft compelling proposals that showcase the team's capabilities and vision.
• Play a key role in the recruitment process, identifying talent needs and participating in the selection of candidates who will enrich the team's skills and culture.
• Maintain a deep understanding of industry trends, competitive landscapes, and new technologies. Apply this knowledge to inform and evolve strategies, ensuring the organization remains at the forefront of media analytics.

Qualifications

• Minimum of 8-12 years in media analytics, digital analytics, or a related field, with extensive experience in leading analytics projects and teams.
• Bachelor’s degree in marketing, Statistics, Computer Science, Business Analytics, or a related field. A master’s degree or higher in a relevant field is highly preferred.
• Advanced knowledge of analytics and reporting tools (e.g., Google Analytics, Adobe Analytics), data visualization tools (e.g., Tableau, Power BI), and data manipulation languages (e.g., SQL, R, Python).
• Advanced Knowledge on Marketing Platforms such as Marketing Platforms data such as Google Ads, SearchAds 360, DV360, Campaign Manager, Facebook Business Manager, Meta Advanced Analytics, Google Ads data Hub, Pinterest, Appsflyer, etc.
• Demonstrated leadership skills with the ability to mentor, inspire, and cultivate talent within a team. Experience in leading cross-functional projects and teams. Ability to work collaboratively in a team and independently.
• Exceptional communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.

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Job Description

You may work 100% remotely if you are currently living in LATAM, or you can always join us at the office! 

• Build, maintain, and integrate web applications and microservices on a variety of platforms, with a focus on front-end development using React and Typescript.  

• Collaborate with the team to provide assistance in backend development tasks, ensuring comprehensive support. 

• Work together with internal business partners to identify and implement improvements.  

• Utilize Agile software development practices and tools to effectively manage and deliver projects. 

• Follow scalable architectural practices to build fault-tolerant distributed systems. 

• Recognize chances to automate repetitive tasks. 

• Promote, implement, and evolve development best practices. 

• Able to work independently while maintaining proactive and collaborative communication within the team. 

Qualifications

• Proficiency in React and TypeScript is required.  

• Strong knowledge and experience with AWS. 

• Proficiency in either Python or C# (.NET) is required. 

• Familiarity with Next.js is considered a plus.   

• Understanding of concepts such as User Journey is considered a plus.

• Proactive and collaborative work ethic. 

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Job Description

• Design, and development of robust APIs, ensuring they align with industry best practices and standards.  

• Maintain and optimize existing APIs, proactively identifying and resolving any performance or compatibility issues.  

• Conduct regular reviews to ensure the security and reliability of the API  infrastructure. 

• Implement rigorous testing procedures to validate the functionality, reliability, and security of APIs. 

• Collaborate with cross-functional teams. 

Qualifications

• Studies in Computer Science, Engineering, or a related field. 

• Proficient in Java. Experience utilizing the Java Spring Framework.  

• Solid proficiency in Python.  

• Strong background in API testing. 

• Knowledge of cloud technologies is a plus. 

• Nice to have: Open API, Data Engineering knowledge (ETL processes), ads fundamental knowledge.  

What about languages?   

Excellent written and verbal English for clear and effective communication is a must!   

How much experience must I have?   

We're looking for someone with 2+ years of experience in API Engineering.  

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Job Description

• Work with practice leaders and clients to understand business problems, industry context, data sources, potential risks, and constraints 
• Problem-solve with practice leaders to translate the business problem into a workable Data Science solution; propose different approaches and their pros and cons  
• Work with practice leaders to get stakeholder feedback, get alignment on approaches, deliverables, and roadmaps 
• You will work as part of our global Data Science team to provide data driven AI solutions for our customers using state-of-the-art Machine Learning methods and tools. 
• Create and maintain efficient data pipelines, often within clients’ architecture. Typically, data are from a wide variety of sources, internal and external, and manipulated using SQL, spark, and Cloud big data technologies 
• Assemble large, complex data sets from client and external sources that meet functional business requirements. 
• Build analytics tools to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.  
• Perform data cleaning/hygiene, data QC, and integrate data from both client internal and external data sources on Advanced Data Science Platform. Be able to summarize and describe data and data issues  
• Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings toward decision making 
• Train, validate, and cross-validate predictive models and machine learning algorithms using state of the art Data Science techniques and tools 
• Document predictive models/machine learning results that can be incorporated into client-deliverable documentation 
• Assist client to deploy models and algorithms within their own architecture 

Qualifications

• MS degree in Statistics, Math, Data Analytics, or a related quantitative field 
• 2+ years Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization 
• Experience with one or more Advanced Data Science software languages (Python, R, SAS)  
• Proven ability to deploy machine learning models from the research environment (Jupyter Notebooks) to production via procedural or pipeline approaches 
• Experience with SQL and relational databases, query authoring and tuning as well as working familiarity with a variety of databases including Hadoop/Hive 
• Experience with spark and data-frames in PySpark or Scala 
• Strong problem-solving skills; ability to pivot complex data to answer business questions. Proven ability to visualize data for influencing. 
• Comfortable with cloud-based platforms (AWS, Azure, Google) 
• Experience with Google Analytics, Adobe Analytics, Optimizely a plus 

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Job Description

• Formulate dynamic dashboards, grids, graphs, scorecards, and statistical reports utilizing BI tools, alongside ETL tools.  

• Analyze data, decipher relationships and correlations, and effectively present and articulate business insights. 

• Provide support for the development of logical and physical processes in the data warehouse. 

• Perform data analysis tasks using SQL, including the creation and maintenance of necessary database tables, data validation and testing, and optimization of fact tables for reporting purposes. 

• Document data flows and technical designs, ensuring compliance with client requirements and facilitating a smooth handover. 

Qualifications

• Bachelor's degree in Accounting, Finance, or Information Technology and Computer Science.  

• Proficient hands-on experience with Tableau.

• Solid SQL experience, demonstrating the ability to create and maintain tables and views, with an understanding of SQL best practices for query performance. 

• Familiarity with ETL tools. 

• Cloud experience is a plus. 

• Familiarity with Redshift is appreciated.

• Strong communication skills to effectively convey insights to across teams. 

• Ability to show initiative and work independently. 

• Leadership experience is highly valued.  

What about languages? 

Excellent written and verbal English for clear and effective communication is a must! 

How much experience must I have? 

We're looking for someone with 7+ years of experience working as Business Intelligence Analyst or related positions.  

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Job Description

Life as a Senior BI Consultant at Blend  

We are looking for someone who is ready for the next step in their career and is excited by the idea of solving problems and designing solutions using cutting edge tools. However, they also need to be aware of the practicalities of making a difference in the real world – whilst we love innovative advanced solutions, we also believe that sometimes a simple solution can have the most impact.   

Our Senior BI Consultant is someone who feels the most comfortable around messy data, solving problems and answering questions. We place a high value on the ability to communicate and translate complex analytical thinking into non-technical and commercially oriented concepts, and experience working on difficult projects and/or with demanding stakeholders is always appreciated. 

Reporting into the Data Science team, and working closely with the Data Engineering team, this role will be responsible for driving high delivery standards and innovation in the company. Typically, this involves using data analytics and machine learning to conduct in-depth analysis which uncovers actionable insights and then reporting the findings back to stakeholders in a clear and relevant manner.

As the Data Science team grows, mentoring junior analysts/data scientists and leading project teams will also form part of day-to-day functions. 

What can you expect from the role? 

• Preparing and presenting compelling analysis findings to clients and senior stakeholders.
• Use a variety of analytical and BI tools and methods to deliver regular reports and deep dive strategic analytics.
• Own tasks end-to-end and manage the process and team of analysts.
• Contributing to proposal submissions and business development initiatives under the direction of the Leadership team.
• Supporting the development of the data science team within Blend. 
• Support in the road-mapping of analytical projects.

Qualifications

What you need to have? 

• Perform data cleaning, QC and exploratory analysis to discover key insights.
• Presenting analytical results to clients and experienced in stakeholder management.
• Experience in prototyping, designing, developing and delivering projects end-to-end, managing BI solutions and the team of analysts in a non-academic setting.
• Ability to be flexible with approaches, techniques and technology.
• Data visualisation using software such as PowerBI (or Tableau, Qlik, etc). 
• Attention to detail.
• Experience in using DAX.

Nice to have 

• Ability to work and process large amounts of data/experience working with cloud environments.
• Experience and working knowledge of relevant sectors (e.g. manufacturing, energy, public sector, automotive and utilities industries) is desired but not essential.
• Experience with proposal submissions and business development initiatives under the direction of the Leadership team.
• Experience in managing teams or supporting team development Experience with PowerApps and Power Automate. 

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Job Description

What is this position about? 

As a Data Science Engineer you'll collaborate closely with business leaders to address our clients' diverse business challenges. Our engagements span across various sectors including marketing, revenue management, customer service, inventory management, and other key aspects of contemporary business. Our Data Science Engineer possesses the business acumen to deploy data-driven solutions across a spectrum of business models and situations. 

You may work 100% remotely if you are currently living in LATAM or you can always join us at the office in Montevideo, Uruguay!

Job Description

• Working with practice leaders and clients to understand business problems, industry context, data sources, risks, and constraints.
• Solving challenges through diverse Data Science solutions and aligning stakeholders on strategies, deliverables, and roadmaps. 
• Developing project plans with milestones, dates, owners, and risk contingency, creating and maintaining efficient data pipelines within clients' architecture using SQL, Spark, and Cloud technologies.
• Assembling large, complex datasets that meet business requirements and constructing analytics tools to provide actionable insights for customer acquisition and operational efficiency.
• Performing data cleaning, QC, and integration on an Advanced Data Science Platform, summarizing data issues and conducting statistical analysis for decision-making.
• Training, validate, and cross-validate predictive models using cutting-edge techniques and documenting results for client deliverables.

Qualifications

Qualifications

• MS degree in Statistics, Math, Data Analytics, or a related quantitative field. 
• 4+ years Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting optimization. 
• Experience with one or more Advanced Data Science software languages (Python, R, SAS). 
• Proven ability to deploy machine learning models. 
• Experience with SQL and relational databases, query authoring and tuning. Working familiarity with various databases including Hadoop/Hive.
• Experience with Spark and data-frames in PySpark or Scala.
• Strong problem-solving skills; ability to pivot complex data to answer business questions.
• Familiar with geospatial tools
• Proficiency in Data Visualization
• Ability to think creatively
• Comfortable with cloud-based platforms (AWS, Azure, Google).
• Experience with Google Analytics, Adobe Analytics and/or Optimizely are a plus.

What about languages? 

You will need excellent written and verbal English for clear and effective communication with the team. 

How much experience must I have? 

We're looking for someone with 4+ years' of experience in similar roles. 

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Job Description

The Insights team is looking for a motivated individual with a quantitative market research background to serve as a full-time contractor. This person will primarily be responsible for managing all data support and research logistics for the client's Insights team. Specifically, this person will be responsible for: 

What you will be doing:  

• Overseeing participant recruitment, incentive fulfillment, panel management, survey/qual programming, data pulls, dashboard creating and supporting research reporting
• Own the management of the clients insiders panel as well as the Knowledge Management Portal
• Own smaller quantitative and qualitative research projects (as needed)
• Occasionally work independently with the Product, Design and Marketing teams to develop research studies and deliver actionable insights 

Qualifications

• This person must have 3+ years of professional or internship experience in market research, consumer/user research and research operations or analytics 
• Expertise in Qualtrics required, specially dashboard creation, programming, weighting and crosstabs
• Knowledge of UserZoom, dscout, Sermo, Tableau and/or SQL is preferred
• Experience in healthcare is preferred but not required

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Job Description

Your primary responsibilities include, but are not limited to: 

• Reviewing all SOWs (Statements of Work) and setting up each project with the appropriate revenue recognition process. 
• Tracking project status, updating status, end date, and budget as needed. 
• Making cost of goods sold entries to allocate labor to projects. 
• Ensuring all project costs are captured. 
• Liaising with leaders to resolve outstanding issues. 
• Reconciling billing to recognized revenue. 
• Preparing financial project reports for leadership. 
• Explaining variances between project budget and actuals. 
• Balancing and reconciling asset and liability accounts to the general ledgers. 
• Reviewing and reporting on intercompany activity across different projects and creating TopSide elimination for the intercompany projects. 
• Assisting in financial audits. 
• Handling Ad Hoc projects as needed. 
• Meeting tight deadlines. 

Qualifications

• Bachelor's degree in Accounting. 
• 5-8 years of accounting experience in a small to mid-size firm. 
• Proficiency with Microsoft Office applications, strong Excel skills are a plus. 
• Ability to work collaboratively with all levels of employees, management, and external stakeholders. 
• Adaptability while working in a fast-changing and evolving organization. 
• Highest level of accuracy and integrity. 
• Experience with ERP system implementation and consulting firms is a plus. 
• Experience with NetSuite and OpenAir is preferred. 

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Job Description

• Build, maintain and integrate web applications and microservices on a variety of platforms. 
• Work together with internal business partners to identify and implement improvements. 
• Utilize Agile software development practices and tools to effectively manage and deliver projects.
• Follow scalable architectural practices to build fault-tolerant distributed systems.
• Recognize chances to automate repetitive tasks.
•  Promote, implement, and evolve development best practices.

Qualifications

• Experience of C#/.NET and React.
• Knowledge in cloud computing (AWS preferred), is a plus.
• The ability to implement code successfully in order to make projects come to term. 
• Able to collaborate effectively with others as well as perform tasks autonomously.

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Job Description

• Working with practice leaders and clients to understand business problems, industry context, data sources, risks, and constraints.
• Solving challenges through diverse Data Science solutions and aligning stakeholders on strategies, deliverables, and roadmaps. 
• Developing project plans with milestones, dates, owners, and risk contingency, creating and maintaining efficient data pipelines within clients' architecture using SQL, Spark, and Cloud technologies.
• Assembling large, complex datasets that meet business requirements and constructing analytics tools to provide actionable insights for customer acquisition and operational efficiency.
• Performing data cleaning, QC, and integration on an Advanced Data Science Platform, summarizing data issues and conducting statistical analysis for decision-making.
• Training, validate, and cross-validate predictive models using cutting-edge techniques and documenting results for client deliverables.

Qualifications

• MS degree in Statistics, Math, Data Analytics, or a related quantitative field. 
• 3+ years Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting optimization. 
• Experience with one or more Advanced Data Science software languages (Python, R, SAS). 
• Proven ability to deploy machine learning models. 
• Experience with SQL and relational databases, query authoring and tuning. Working familiarity with various databases including Hadoop/Hive.
• Experience with Spark and data-frames in PySpark or Scala.
• Strong problem-solving skills; ability to pivot complex data to answer business questions.
• Comfortable with cloud-based platforms (AWS, Azure, Google).
• Experience with Google Analytics, Adobe Analytics and/or Optimizely are a plus.

What about languages? 

You will need excellent written and verbal English for clear and effective communication with the team. 

How much experience must I have? 

We're looking for someone with 3+ years' of experience in similar roles. 

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Job Description

We are seeking an accomplished AI Consulting Leader with experience in business consulting and transformation. The ideal candidate will bring an exceptional background in technology, strategy, and consulting, cultivated through tenure at renowned global consulting firms.

Key Responsibilities:

1. AI/Gen AI Expertise: Demonstrate a profound understanding of AI/Gen AI ecosystems and technologies, showcasing how they can be strategically employed to drive impactful business outcomes.

2. Adoption Strategy: Leverage proven experience to assist companies in planning and managing the adoption of artificial intelligence, ensuring alignment with business objectives and delivering measurable results.

3. Transformation Program Management: Oversee the planning and execution of scaled transformation programs, managing all aspects from initiation to completion, while ensuring seamless integration with existing business processes.

4. C-Level Collaboration: Engage effectively with C-level clients from Fortune 1000 brands, collaborating to define the 'art of the possible' within AI contexts. Provide strategic insights to shape and prioritize high-value AI use cases across the enterprise.

5. Leadership: Display strong leadership capabilities, inspiring and guiding teams towards achieving ambitious goals. Demonstrate an ability to attract and nurture market-leading talent within the organization.

Qualifications

Education: Bachelor's degree in a relevant field; advanced degree preferred.

2. Experience: A minimum of 15 years of progressive experience in business consulting and transformation, with a focus on technology and strategy. Proven track record in global consulting firms is highly desirable.

3. AI/Gen AI Proficiency: In-depth knowledge of AI/Gen AI ecosystems, technologies, and their practical applications in driving business success.

4. Client Management: Extensive experience working directly with C-level clients from Fortune 1000 brands, demonstrating effective communication and the ability to translate technical concepts into strategic business solutions.

5. Leadership Skills: Strong leadership qualities with a track record of attracting, developing, and leading high-performing teams.

If you are a results-driven, strategic thinker with a passion for leveraging AI to transform businesses, we invite you to apply for this key role in our dynamic and innovative team. Join us in shaping the future of business through cutting-edge technology and transformative strategies.

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