Data Scientist- Mid-Level

Framingham, MA, US • Posted 7 hours ago • Updated 7 hours ago
Full Time
On-site
USD $65.00 - 75.00 per hour
Fitment

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Job Details

Skills

  • Mergers and Acquisitions
  • Inventory Optimization
  • Systems Engineering
  • Product Engineering
  • Merchandising
  • Algorithms
  • Business Operations
  • Collaboration
  • Decision-making
  • Workflow
  • Analytics
  • Reporting
  • Testing
  • SQL
  • Unix
  • Shell Scripting
  • Stored Procedures
  • Machine Learning (ML)
  • Data Analysis
  • Visualization
  • Python
  • Pandas
  • scikit-learn
  • PyTorch
  • matplotlib
  • Plotly
  • Extract
  • Transform
  • Load
  • Talend
  • Datastage
  • IBM InfoSphere DataStage
  • Data Warehouse
  • Snow Flake Schema
  • Oracle
  • Database
  • Conflict Resolution
  • Problem Solving
  • Attention To Detail
  • Communication
  • Data Science
  • Computer Science
  • Mathematics
  • Continuous Integration
  • Continuous Delivery
  • Jenkins
  • GitHub
  • BMC Control-M
  • Data Visualization
  • Tableau
  • Microsoft Power BI
  • A/B Testing
  • Test Methods
  • Time Series
  • Modeling

Summary

  • 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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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10111081
  • Position Id: 7f7d0965c8c5e729f1ee830591264964
  • Posted 7 hours ago
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