Senior Data Scientist

Key Skills

A/B Testing, Amazon Elastic Compute Cloud-EC2, Amazon EMR, Amazon RedShift, AWS, AWS Sagemaker, Azure, Causal inference, Cryptocurrency, Data Analytics, Data Biuld Tool - dbt, Data science techniques, Design of Experiment, GitLab, Google Cloud Platform (GCP), Microsoft-Excel, MLOps tools, Pandas, Python Programming, PyTorch, R Programming, Scikit-learn, SQL, Statistical modeling, TensorFlow

Job Description

We are looking for a Senior Data Scientist with experience in full suite of data science, analytics and ML in a broad spectrum of business functions. As a senior technical member on the Analytics and Data Science team, you will use big data to understand customer behavior and drive decision-making in product development across various crypto products and digital services.

• Actively engage with the line businesses in a cross functional environment, including marketing, finance, operation, customer success, compliance, etc
• Identify opportunities and formulate data science / machine learning projects to optimize for revenue, acquisition, engagement, retention, customer satisfaction and minimize potential compliance risk exposures
• Assist in building ML models and MLOps with modern tech stack in the full ML Lifecyle, including GitLab, AWS, Sagemaker, Redshift, EC2, EMR and Dbt to develop and deploy online/offline ML products
• Serve as a subject matter expert in data science and analytics and research and adopt the new tooling and methodologies in the crypto space
• Other duties as assigned
• Data driven mindset with a graduate degree in Computer Science, Data Science, AI/ML, Mathematics/Statistics, Engineering, or an equivalent technical field.
• 4+ years of relevant experience in software development, data science, or data analytics.
• 2+ years of relevant experience in product analytics centered around customer behavior and digital product adoption and risk management, compliance 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 Python or R, and advanced SQL, Excel, and visualization tools such as Tableau/Looker.
• Experience with data science modeling toolsets such as Pandas, TensorFlow, PyTorch, Scikit-learn.
• Demonstrated leadership in complex areas, through critical thinking, thought leadership, effective communication, and relentless drive for progress.
• Ability to work both independently and in a collaborative and dynamic team environment.
• Comfort handling ambiguity and managing multiple assignments.

Nice to Have:

• Build cloud-based ML infrastructure with minimal support and scale with business need, either in AWS, GCP or Azure.
• 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.