Sr Data Scientist

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We are seeking a Senior Data Scientist to join our Data Science team. You will play an integral part of the team, providing analytical excellence that will drive both Ria’s strategy. At Ria, your contributions can be appreciated by millions of people around the world, so we are looking for someone who is determined to show the world the power of applied analytics.

The ideal candidate will be passionate about asking and answering questions in large and complex datasets, and you can communicate that passion to business owners and other staff. If this sounds like you, this is the role for you.

• Working on projects such as supervised & unsupervised model development.
• Owning analytical frameworks that guide the product roadmap.
• Designing rigorous experiments and interpreting results to draw detailed and actionable conclusions.
• Developing statistical models to extract trends, measure results, and predict future performance of our products and services.
• Building simulations to project impact of various product and policy interventions.
• Enabling objective decision making across the company by democratizing data through dashboards and other analytical tools.
• Using expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory, etc. to shape the future of Ria.
• Presenting findings in a compelling way to influence leadership.
• Supporting other projects as directed by more senior staff.

• Business acumen – understands key challenges facing our business and partners with key stakeholders to find creative ways to apply data science to solve them.
• Analytical skills – identify, measure, and impact important metrics needed to manage and monitor data quality; able to simplify complex content.
• Attention to detail – appropriately checks all work for errors and does not let important details slip when it comes to data and its accuracy.
• Creative problem solving – able to use creativity and curiosity as tools to pick apart any problem, producing a solution which is relevant and realistic.
• Efficiency – able to quickly iterate on data generation and refinement. Looks for ways to improve processes to maximize efficiency and remove redundancy.
• Proactivity – acts without being told what to do at each step; generates novel ideas and processes to drive the business and team forward.

• Advanced Degree (e.g., MS, PhD, or MBA) in quantitative fields such as Data Science, computer science, Statistics, Mathematics, Operations Research or Engineering.
• Advanced experience developing machine learning models (supervised, unsupervised).
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real‑world advantages/drawbacks.
• Strong programming skills in Python and PySpark. Comfortable in version control tools such as Git and with cloud environments such as AWS.
• Experience in big‑data analytical environments/technologies (Hadoop, Spark).
• Ability to write complex, efficient, and eloquent SQL queries to extract data.
• 7+ years of related industry experience.
• Excellent knowledge of SQL/NoSQL, comfortable working with relational/non‑relational data models.
• Experience in ML Operations and model deployment is a definite asset.
• Excellent written and oral communication skills in English.
• Highly self‑motivated and directed.
• Ability to effectively prioritize and execute tasks in a high‑pressure environment.
• Ability to travel upon request.

Mid‑Senior level

Full‑time

Engineering and Information Technology

Financial Services and Technology, Information and Media

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