ABOUT ELEVATE:
Elevate is a full-service consulting firm that inspires high-performing organizations to find their limits and push past them. With expertise in brand consulting, sales strategy, data-driven insights, and talent optimization, Elevate gives its clients a competitive edge in the fight for people’s precious time and attention. Established in 2018, Elevate set out to help sports teams and leagues spark innovation and drive performance. In the years since, the world of sports has transformed, today standing at the convergence of media, entertainment, and consumer brands, with Elevate supporting some of the world’s most ambitious businesses across these sectors. Elevate’s proprietary technology, data sources, and software products combined with our thoughtful insights, and people-centric approach give clients a 360-degree view of their customers, underpinning intelligent decision-making on marketing spend, growth strategy, and more.
Our team of 400+ employees spans the globe with in 20 locations worldwide. We value recruiting diverse individuals to our team to bring new perspectives to our company and look forward to learning more about you in the recruitment process. To learn more and see what we’ve been up to, follow Elevate on
X,
LinkedIn, and
Instagram.
Where you come inElevate is embarking on an exciting transformation journey from a consulting company to a product-led organization where our technology will become a primary revenue driver. Join our rapidly growing engineering team that's setting the foundation for this transformation.
You'll collaborate with talented engineers, data scientists, and domain experts to revolutionize how we deliver insights to our clients. You'll work with our massive datasets (CIA and developing TIA) to build predictive models, generate comprehensive analytics, and create data-driven solutions that transform raw data into actionable intelligence. Your work will enable organizations to understand their audiences at unprecedented detail and make data-driven decisions across sports, entertainment, and consumer brands.
What You'll Bring
- Data Science Expertise: 5+ years of experience in data science, statistical analysis, or related field
- Statistical & Analytical Skills: Strong background in statistics, predictive modeling, and advanced analytics
- Python & Data Tools: Expert-level Python skills with experience in Pandas, NumPy, scikit-learn, and statistical libraries
- SQL Proficiency: Deep experience with SQL and database systems for querying and analyzing large datasets
- Machine Learning: Strong knowledge of machine learning algorithms, model development, and evaluation techniques
- Data Visualization: Experience creating compelling data visualizations and communicating insights effectively
- Product Engineering Mindset: Understanding that technology exists to solve customer problems and create business value
- Problem-Solving Approach: You start with understanding the problem deeply before jumping to solutions
- Experimentation Mindset: You value learning through rapid experimentation and embrace a "progress over perfection" approach
- Outcome Orientation: You measure success by business impact and customer satisfaction, not just by model accuracy
- Communication Skills: Ability to explain complex data science concepts and insights to both technical and non-technical stakeholders
- Business Intelligence Experience: Background in client deliverables, consulting outputs, or business intelligence platforms is highly valuable
- Big Data Experience: Experience working with large-scale datasets (millions+ records) is highly valuable
- Advanced Degree: Advanced degree in Statistics, Mathematics, Computer Science, or related field is a plus
How You'll Make an Impact
- Build Predictive Models: Develop and deploy predictive models that enable clients to understand audience behavior and make data-driven decisions
- Generate Comprehensive Analytics: Create advanced analytics and insights from our massive consumer datasets
- Design Experiments: Design and implement A/B tests and experiments to validate hypotheses and measure impact
- Create Data Visualizations: Build compelling visualizations and reports that communicate insights effectively to clients
- Collaborate with Engineers: Work closely with engineers to integrate models and analytics into production systems
- Enable Data-Driven Decisions: Provide data-driven recommendations that influence product strategy and business decisions
- Mentor Team Members: Share knowledge and mentor other data scientists and analysts on the team
- Solve Real Business Problems: Work directly with product managers and stakeholders to understand problems and validate data science solutions
Your Journey: First 90 Days
First 30 Days
- Deep dive into our Consumer Insights Architecture (CIA) and Team Insights Architecture (TIA) datasets
- Understand current analytics capabilities, client deliverables, and business requirements
- Build relationships with your engineering teammates, data scientists, key stakeholders, and agency partners
- Partner with the team to develop your personal roadmap for impact
Days 31-60
- Develop your first predictive model or advanced analytics solution for a core use case
- Design and execute experiments to validate model performance and business impact
- Begin establishing patterns for data science development, model deployment, and insight delivery
Days 61-90
- Deploy models or analytics into production and monitor their performance
- Lead technical planning for scaling data science capabilities across the platform
- Contribute to roadmap for next-generation analytics and insights features
Why This Role Matters Now
- Growing Team: Join a talented and expanding engineering team that's building the foundation for Elevate's product-led future
- Product-Led Transformation: Drive the shift to a product-led organization following the playbook of companies like Spotify, Airbnb, and Stripe
- Massive Scale: Work with datasets containing hundreds of millions of consumer records
- Direct Impact: Your work will directly influence how major sports teams, entertainment venues, and brands understand and engage their customers
- Learning Opportunities: Work with cutting-edge data technologies and analytics platforms
The Technology You'll Work With
- Our data science stack includes:
- Data Science Tools: Python, Pandas, NumPy, scikit-learn, Jupyter
- Data Infrastructure: AWS (Redshift, Glue, S3, Lambda, SageMaker), Snowflake
- Databases: PostgreSQL, Redshift, Snowflake
- Visualization: Data visualization libraries and BI tools
- Development Practices: Version control, model versioning, experiment tracking
Our Product Engineering Principles
- Customer Obsession: We start with the customer and work backward. We don't build features; we solve customer and business problems.
- Ownership: Teams own outcomes, not just outputs. Success means business impact and customer delight, not shipping on schedule.
- Simplicity: We choose architectural and product simplicity over complexity. Complex solutions are harder to maintain, evolve, and explain.
- Data-Driven Decisions: We measure what matters and use data to guide our product development and business decisions.
- Rapid Learning: We implement quick feedback loops, focus on learning through experimentation, and value progress over perfection.
- Transparency: We invite visibility and are transparent with where we're spending our time.
We're looking for data scientists who want to do the best work of their careers while transforming how the sports and entertainment industry operates. At Elevate, you'll have the freedom to solve meaningful problems, the support to grow as a leader, and the satisfaction of seeing your work impact millions of fans. If you're ready to help shape our product-led future, we'd love to connect.
POSITION AND BENEFITS DETAILS:
- Full Time, Exempt
- Medical, Dental, Vision, Life, Short-Term & Long-Term Disability Insurance + FSA, HSA, and more
- 401k Employer Match after meeting eligibility requirements
- 14 Paid Holidays
- Unlimited PTO
- Paid Parental Leave
WORKING CONDITIONS:
Travel Requirements
- Occasional travel may be required
Physical Demands
- Extensive work in front of a screen
Work Environment
- This role is remote, with the potential for a hybrid work arrangement in the following cities: New York, NY; Santa Clara, CA; Charlotte, NC; Salt Lake City, UT; or Nashville, TN.
This position is open to all qualified candidates. If you need assistance or an accommodation due to a disability in connection with the application process, you may contact us at [email protected] We are proud to be an equal opportunity/veterans/disabled/ LGBT employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment is decided based on qualifications, merit, and business need, without regard to race, color, religion, gender, sexual orientation, national origin, disability status, protected veteran status, genetic information, or any other characteristic protected by applicable law.
