Senior Data Scientist

EvenUp; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Flexible hours

Offsite trips

Virtual team events

Health, dental, and vision insurance

Flexible PTO and holidays

Home office stipend

401k for US-based employees

Job summary

EvenUp is seeking a Senior Data Scientist to join our fast-paced, data-driven team in the United States. You will work on our AI product suite, identifying opportunities for proprietary data products and translating complex datasets into actionable insights to guide product direction.

You will partner with Product, Engineering and Operations to define KPIs, plan evaluation schemas, and build scalable analytics tools while mentoring teammates to raise data storytelling standards across the

Qualifications

• 5+ years of experience with applied statistical techniques and advanced modeling.
• Experience in Python or R and SQL for data querying and modeling.
• Strong ability to translate findings into actionable business insights.
• Experience building data-driven product solutions and methodological research.

Responsibilities

• Identify opportunities for proprietary data products from analytics.
• Understand product usage and translate insights into strategic plans.
• Define KPIs with Product, Engineering and Operations.
• Plan short/long-term annotation and evaluation schemas.
• Communicate analysis results clearly to technical and non-technical audiences.
• Help evolve analytics foundations: instrumentation, metric frameworks, self-serve tools.
• Mentor teammates and elevate data storytelling across the org.

Skills

Applied statistics

Python or R

SQL

Machine learning

Data storytelling

Stakeholder communication

Mentorship

Education

Bachelor's degree

Advanced degree

Job description

• We’re looking for a Senior Data Scientist to join our fast-paced, data-driven team
• You will be working on our AI product suite and identifying opportunities for proprietary data products
• You’ll play a key role in understanding the key product usage, turning insights into actions and forming feasible plans for new data products
• Translate complex datasets into clear insights with strategic recommendations that drive measurable actions and outcomes to inform product direction and business priorities
• Partner with Product, Engineering and Operations teams to define KPIs
• Work with evaluation data team to plan short and long term annotation work and define evaluation schemas
• Communicate analysis results and outcomes clearly and tailor based on the audience
• Help build and evolve our analytical foundation, including event instrumentation, metric frameworks, and scalable self-serve analytics tools
• Mentor other members of the team and raise the bar for data storytelling, analytical rigor, and stakeholder influence across the org

Benefits

• Flexible working hours to match your style
• Offsites - get to meet your coworkers on a fully-expenses trip ever 6-12 months
• A variety of virtual team events such as game nights & happy hours
• Choice of medical, dental, and vision insurance plans for you and your family
• Flexible paid time off and 10+ holidays per year
• A stipend to upgrade your home office for fully-remote roles
• 401k for US-based employees

5+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniques5+ years of experience with programming language, such as Python or R5+ years of experience using SQL or similar big data querying languagesExceptional verbal and written communication skills - ability to distill complex findings from data and models into compelling insights for technical and non-technical audiencesExperience using machine learning and statistical analysis for building data-driven product solutions or performing methodological researchBachelor’s Degree in a relevant technical field such as statistics, mathematics, economics, computer science, engineering or related field or equivalent years of practical work experienceExperience in a product-focused role in or legal medical domainAdvanced degree in applied mathematics, statistics, actuarial science, economics or related fieldStrong mentorship and leadership skills, with a track record of elevating scientific standards and growing junior talent across team