Data Scientist- Mid-Level
Epitec, Inc.
- Job
- 32204
- Posted
- Location
- Framingham, MA
- Work type
- Full Time
- Tax terms
- W2, Yearly
- Experience
- Experience open
- Rate
- $65 to $75 (Hourly)
- Openings
- 1 opening
Skills
- Data Science
- Inventory Optimization
- Systems Engineering
- Product Engineering
- Merchandising
- Algorithms
- Business Operations
- Analytics
- SQL
- Unix
- Shell Scripting
- Stored Procedures
- Machine Learning (ML)
- Data Analysis
- Visualization
- Python
- Pandas
- scikit-learn
- PyTorch
- Matplotlib
About the job
- Location: Framingham, Massachusetts
- Type: Contract
- Job #107475
Job Title: Data Scientist - Mid Level
Contract Duration: 1 year, possible extension
Location: Framingham, MA
Work Arrangement: Remote
Pay Range: $65-$75/hour
Summary
As a Data Scientist, you'll be part of a dynamic and collaborative environment that touches every aspect of the business-from product placement and inventory optimization to systems engineering analytics and modeling. You'll work closely with cross-functional partners across product, engineering, and merchandising, providing both strategic insights and ad-hoc data support to fuel smarter decisions.
Your Impact
- Design, develop, and deploy machine learning models and statistical algorithms to solve complex business and IT problems
- Analyze large, structured and unstructured datasets to extract meaningful insights and drive data-informed decisions
- Build, maintain, and run automated and ad-hoc reports to support business operations and strategic initiatives
- Collaborate with cross-functional teams to identify opportunities for leveraging data and fulfill ad-hoc data requests to support timely and informed decision-making
- Build and maintain data pipelines and workflows to support scalable analytics, reporting, and model deployment
- Communicate technical findings and recommendations clearly to both technical and non-technical stakeholders
- Conduct Time-Series, Sequential testing and other experimental designs to evaluate the impact of business and IT initiatives
- Provides guidance on technical approaches, and best practices
Required Qualifications
- 5-10 years of professional experience in a data analytics or related role.
- Proficiency in Python, SQL, Unix Shell Scripting (Lunex Shell Scripting), Stored Procedures.
- Experience with one OR more machine learning frameworks and data analysis/visualization libraries in Python (e.g. Pandas, scikit-learn, PyTorch, Matplotlib, Plotly, etc.)
- ETL tool experience (Talend, DataStage, or MoveIT Automation preferred)
- EDW/ DB experience (Snowflake OR Oracle databases preferred)
- Experience with CI/CD pipelines
- Strong problem-solving skills, attention to detail, and ability to work independently and collaboratively
- Highly developed verbal and written communication skills, with the ability to work up and down within the organization to influence others and achieve results
Preferred Qualifications
- A degree in a quantitative field such as Data Science, Computer Science, Engineering or Mathematics
- Proven application of advanced techniques in a business setting with impactful results
- CI/CD platforms (Jenkins, GitHub, Control-M)
- Familiarity with data visualization tools such as Tableau and Power BI
- Experience designing and evaluating experiments, including A/B testing and other statistical test methodologies
- Experience with time series modeling techniques and/or product recommendation systems
- Familiarity with data ingestion, transformation, and integration
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