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Data Scientist - JR1029477

Boston, MA

Job Responsibilities:
- Data mining and ability to translate raw data into meaningful insights and recommendations
- Learn and apply advanced machine learning algorithms to further enhance Broadridge’s analytical offerings
- Construction and maintenance of a variety of predictive models (lead scoring, look-a-like, retention, and other customized predictive models)
- Develop new approaches to present complex analytical concepts using data visualization
- Work with Product Management to identify and develop new and/or enhance existing analytical products from client interactions
- Develop custom analytical solutions as required by Broadridge Distribution Insight clients
- Stay informed of/follow all relevant Broadridge policies to ensure the security and privacy of data

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- Take direction from business leaders, product managers, and senior Data Scientist(s)
- Assist in development of new analytical products for the Distribution Insight Platform or custom Distribution Insight client engagements
- Acquire and maintain knowledge of all North American Distribution Solutions products and functionality, keeping current as the product set evolves and new data sets or capabilities are added
- Keep abreast of competitors’ analytical offerings
- Keep current with trends in mutual fund distribution
- Help arrange analytical product demonstrations
- May perform other duties/responsibilities as needed or assigned.

Preferred Qualifications:
- Bachelor’s or Master’s degree in Statistics, Economics, Mathematics, Computer Science, or quantitative discipline (2-5 years experience)
- Understanding of and willingness to learn statistical analysis and modeling
- Ability to present complex data sets and analysis in easy to understand ways
- Experience with R and/or Python required
- Experience with SQL required for data mining
- Experience processing and analyzing large data sets. Expertise with Excel is required
- Investment product manufacturer and/or financial intermediary analytical experience preferred but not required (ideally product distribution or sales related)
- Previous work as Data Scientist or similar quantitative analytical experience required
- Data science-related certifications are a plus, but not required.

- Excellent analytical and problem-solving skills
- Capable of cogent demonstrations and presentations
- Solid understanding of product uses and value propositions
- Ability to work within a diverse team and serve a variety of stakeholders with different priorities
- Outstanding organizational skills and attention to detail

Job ID:
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • Fitness Subsidies
    • Pet Insurance
    • Mental Health Benefits
  • Parental Benefits

    • Family Support Resources
    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Adoption Leave
    • Fertility Benefits
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
    • Work-From-Home Stipend
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
    • Volunteer Time Off
    • Unlimited Paid Time Off
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Performance Bonus
    • Financial Counseling
    • Relocation Assistance
  • Professional Development

    • Tuition Reimbursement
    • Promote From Within
    • Mentor Program
    • Access to Online Courses
    • Lunch and Learns
    • Leadership Training Program
    • Internship Program
  • Diversity and Inclusion

    • Founder led
    • Woman founded/led
    • Black founded/led
    • Latinx founded/led
    • Asian founded/led
    • Diversity, Equity, and Inclusion Program

Company Videos

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