Data Scientist- Mid-Level

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 problemsAnalyze large, structured and unstructured datasets to extract meaningful insights and drive data-informed decisionsBuild, maintain, and run automated and ad-hoc reports to support business operations and strategic initiativesCollaborate with cross-functional teams to identify opportunities for leveraging data and fulfill ad-hoc data requests to support timely and informed decision-makingBuild and maintain data pipelines and workflows to support scalable analytics, reporting, and model deploymentCommunicate technical findings and recommendations clearly to both technical and non-technical stakeholdersConduct Time-Series, Sequential testing and other experimental designs to evaluate the impact of business and IT initiativesProvides 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 pipelinesStrong problem-solving skills, attention to detail, and ability to work independently and collaborativelyHighly 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 MathematicsProven application of advanced techniques in a business setting with impactful resultsCI/CD platforms (Jenkins, GitHub, Control-M)Familiarity with data visualization tools such as Tableau and Power BIExperience designing and evaluating experiments, including A/B testing and other statistical test methodologiesExperience with time series modeling techniques and/or product recommendation systemsFamiliarity with data ingestion, transformation, and integration #INDPRO