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 #LI-MS1 #INDPRO