Technical Lead in Data Science guiding analytical systems design and team mentorship for a finance technology company. Collaborating across engineering and research to drive innovation and data excellence.
About the role
- Senior Data Scientist at EvenUp analyzing treatment journeys to drive business insights. Collaborating with cross-functional teams to build data solutions and insights for product direction.
Responsibilities
- 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 the evaluation data team to plan short and long-term annotation work and define evaluation schemas
- Communicate analysis results and outcomes clearly and tailor messaging based on the audience
- Help build and evolve our analytical foundation, including event instrumentation, metric frameworks, and scalable self-serve analytics tools
- Mentor other analysts and raise the bar for data storytelling, analytical rigor, and stakeholder influence across the organization
Requirements
- Bachelor’s degree in a relevant technical field such as statistics, mathematics, economics, computer science, engineering, or a related field, or equivalent years of practical work experience
- 5+ years of experience using SQL or similar big data querying languages
- 5+ years of experience with a programming language such as Python or R
- 5+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniques
- Experience using machine learning and statistical analysis for building data-driven product solutions or conducting methodological research
- Exceptional verbal and written communication skills, with the ability to distill complex findings from data and models into compelling insights for technical and non-technical audiences.
Benefits
- Choice of medical, dental, and vision insurance plans for you and your family
- Additional insurance coverage options for life, accident, or critical illness
- Flexible paid time off, sick leave, short-term and long-term disability
- 10 US observed holidays, and Canadian statutory holidays by province
- A home office stipend
- 401(k) for US-based employees and RRSP for Canada-based employees
- Paid parental leave
- A local in-person meet-up program
- Hubs in San Francisco and Toronto
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Technical Lead in Data Science at Voleon, driving the design and implementation of analytical systems. Mentoring a growing team of data scientists while ensuring methodological rigor in finance applications.
Data Scientist developing analytical solutions for customer data transformation and supporting critical business decisions. Focus on quality and integrity of data through statistical models and analysis.
Junior Data Scientist developing demand forecasting models for Nestlé’s Supply Chain team. Collaborating with analysts and planners to improve forecasting tools and processes.
HCM Data and Process Analytics Lead at ABB building business intelligence for HCM solutions. Analyzing data to drive improvements in performance and data quality across the organization.
Data Scientist owning and delivering production - grade data pipelines at Simbe Robotics. Collaborating with Product Management, Engineering, and Commercial teams to surface insights from retail data.
Data and Analytics Manager defining strategies for a digital transportation company connecting freight and truckers in Brazil. Leading initiatives to maximize data value and promote a culture of data - driven decision - making.
Mid - Level Data Scientist leveraging data science techniques for USAA's financial security solutions. Collaborating with various teams to develop advanced analytics and model deployment practices.
Senior Data Scientist at Analytic Partners designing advanced data science and AI solutions. Collaborating with teams to drive innovations and impact on products and clients.
Data Scientist supporting management consultants conduct data analysis and providing strategic decision - making insights. Involves data processing, model development, and collaborative problem - solving with clients.