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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