Data Science Team Lead

CoinFlip is a leading fintech company powered by cryptocurrency. Believing everyone deserves to participate in the new digital economy, the company operates one of the world’s largest networks of cryptocurrency ATMs — with over 4,000 active kiosks — as well as an over-the-counter trading desk. In 2022, CoinFlip became an international company by expanding into Canada, and launched CoinFlip Ventures, a new initiative designed to support start-up companies. 
CoinFlip placed No. 60 on the 2021 Inc. 5000 list of the nation’s fastest-growing private companies. CoinFlip was also named the 2021 and 2022 #1 fastest-growing company in Chicago by Crain’s Business. 
As our growth trajectory continues, we’re looking to quickly expand all of our teams. It’s an exciting time to join CoinFlip as we’re pursuing additional business lines and continued international expansion to further cement us as a leading financial technology company. 

We are looking for a seasoned Data Scientist and manager to lead the data science team that uses big data to drive business optimization and decision-making at the center of customer behavior, pricing, marketing and risk management across various crypto products and services.  This role requires hands-on leadership necessary to grow a team through the start-up phase into a mature organization. 

Responsibilities:

• Work with the head of Data Organization to develop, own and drive the vision & strategy for the company’s data science/AI initiatives. 
• Be the technical leader in developing data science and machine learning solutions to drive business growth and operational efficiencies.
• Build, develop, and manage a high-performing data science team through direct coaching and mentorship.
• Perform as a hands-on coach in leading the full ML/AI development cycle: design/experiment, develop, validate, deploy, and analyze.
• Collaborate with all functions of the company to ensure that data science efforts are translated to positive business impacts. 
• Other duties as assigned

Qualifications:

• Data driven mindset with a graduate degree in Computer Science, Data Science, AI/ML, Mathematics/Statistics, Engineering, or an equivalent technical field.
• A proven track record of demonstrated leadership in complex areas, through critical thinking, thought leadership, technical skills, and relentless drive for progress.
• 7+ years of relevant experience in software development, data science, or data analytics.
• 4+ years of experience in pricing, marketing, product and risk analytics would be highly valued. 
• Experience with experimental design, A/B testing, statistical inference/causal analysis is highly preferred. 
• Deep understanding of predictive modeling process from data exploration, methodology (statistical models, unsupervised and supervised ML models) to model validation, deployment and performance monitoring.
• Professional experience with a programming language such as R or Python, and advanced SQL, Excel, and visualization tools such as Tableau/Looker.
• Experience with data science modeling toolsets such as Pandas, TensorFlow, PyTorch, Scikit-learn.
• Exceptional ability to communicate complex ideas effectively, both verbal and written, to influence cross-functional stakeholders.

Nice to Have:

• While not a hard requirement, experience with crypto based products and services is a plus.
• Experience working for a rapidly growing startup, and managing change

Working at CoinFlip means collaborating with experienced and innovative leaders who share a clear vision and a track record of success. We offer a collaborative and positive working environment where we encourage employees to balance productivity with time to recharge. Compensation is above and beyond a typical “startup” — we offer competitive salaries, performance-based incentives, and competitive benefits for full-time employees.
CoinFlip values diversity in the workplace and is an equal opportunity employer committed to providing an inclusive and accessible work environment. We thank all candidates who apply, but only those selected for an interview will be contacted. 
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