Senior Data Scientist - Hybrid - Wilmington, MA - No C2C

Data Scientist will work with business stakeholders and other data analytics professionals to collect, develop, and model data, and provide insights, intelligence and solutions that will help improve decision-making across the organization and support long-term  company initiatives.

Responsibilities:

• Gather, clean and prepare internal / external data
• Perform and explor data analysis to deliver business insight
• Collaborate with Subject Matter Experts to understand the needs and desired outcomes, as well as gather, triage and document requirements
• Build predictive and ML models to generate actionable insights and improve business decision making
• Monitor performance of existing models and/or update and enhance models
• Measure the impact of the deployment of models and discuss findings to stakeholders/SME's
• Produce business reports and data visualization reports
• evaluate and Identify opportunities to improve data quality
• Provide data expertise to high-level business community to enhance data-driven decision making culture
• Identify new opportunities to push business outcomes through data analytics solutions
• Research innovative and emerging data and analytics technologies
• Adhere to the development, testing, documentation best practices to ensure compliance with regulations and internal Artficial intelligence and Data Governance standards.
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Required Skills::
 

• Educational background in data science, business / data analytics, mathematics, statistics, computer science or similar
• 2-4 years of experience building and maintaining predictive models, including Machine learning models
• Experience with supervised learning techniques including regression and classification
• Excellent SQL Skills
• Excellent Python and/or R skills for command
• Strong excel skills including pivot tables, lookups and data analysis
• Expeirence performing exploratory analysis even with ambiguous or incomplete requirements
• Curiosity and passion in seeking creative solutions to business problems
• Strong communication, interpersonal and collaboration skills are must 

Desired skills:

• Agile experience
• BI experience with PowerBI, Tableau or Qlik
• Experience with neural networks, deep learning and NLP
• Experience with unsupervised learning tech
• Experience leveraging MLOps for model development, retraining and operationalization
• Experience analyzing / modeling unstructured data