Full-Time Lead Data Scientist

As a Lead Data Scientist, the person is responsible for manipulating and analyzing large datasets from multiple sources, integrating this data either through statistical modeling or data fusion, and communicating findings in a clear manner to internal and external clients. The individual will also work with internal team members to assist in solving internal and external client problems. This is a full-time non-contract position.

As the Lead, Data Science, you will have the following key accountabilities:

• Develop new solutions for Platform and Media Products to meet our client’s needs.
• Perform exploratory analysis to select appropriate tools and methods
• Initiate and drive collaboration with stakeholders including architects, data engineers and product managers to define, cleanse, and refine the data needed for outcomes desired.
• Analyze and build novel datasets to extract actionable insights to inform platform advancements and understand customer behavior.
• Become an expert of the MRI-Simmons ecosystem and how various user personas or profiles use MRI-Simmons data to plan, generate audiences, activate and measure.
• Collaborate with other data science teams to identify efficiencies and maintain consistency where appropriate for sustainable growth, integrations and scale.
• Collaborate with product owners and managers on their advanced analytic needs.
• Display full ownership and accountability of projects including project scoping, analysis design, project planning, and implementation.
• Communicate challenges or issues with a recommended course of action to appropriate stakeholders when necessary.
• Generate analysis, audits, reporting, documentation, and coding as part of the process.
• Ability to prioritize projects based on business impact and value.
• Present analysis of results in a clear manner.
• 5+ years of experience in a professional data science or machine learning role in related field
• Bachelor's degree in Computer Science, Statistics, Data Science or similar field required.
• Expert-level experience using modern data analysis tools and languages (SQL, Python, R, Databricks, Snowflake, AWS, Splunk, etc.)
• Experience with ML/AI techniques
• Proficient in Microsoft Office
• $165k and 10% annual bonus
• Medical/ Vision/ Dental Insurance
• Work-life balance- Hybrid or Remote schedule
• Tuition Assistance – up to $5,250.00 yearly
• 11 paid corporate Holidays
• Life / Pet Insurance
• Commuter Benefits
• Supplier Discounts/ Plum Benefits partnership