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Senior Data Scientist at Aktana
San Francisco, CA, US
Aktana is looking for an experienced Data Scientist to join our Data Science team in San Francisco. The Data Science team builds mathematical and behavioral economics models underpinning Aktana’s core solutions for actionable analytics and behavioral intelligence. The set of problems that we tackle is incredibly diverse and complex. They cut across optimization, prediction, modeling, inference, and behavioral science. We research and develop the algorithms and models that make our solution intelligent, as well as implementing, scaling, and maintaining the code that powers our production systems.

The ideal candidate is a critical thinker with experience and background in commercial life science domain, passionate about solving mathematical and behavioral problems with data, and is excited about working in a fast-paced, innovative and collaborative environment.

Work with Data Scientists, Product Managers, Customer Success and Services teams to frame a problem, both mathematically and within the business context
Write production-level code; collaborate with Engineering team to implement algorithms in production and productize common solutions
Perform exploratory data analysis to gain a deeper understanding of the problem
Construct and fit statistical, machine learning and optimization models
Utilize commonly used computing and database environments to get the data that you need and implement a working prototype of the formulated model.
Learn and apply new methodologies in the intersection of applied math / probability / statistics / machine learning / computer science.
Make intelligent approximations to the model if required to make it scalable.
Analyze experimental and observational data; communicate findings; facilitate launch decisions
Identify data sources that could be used to test assumptions
Proven track record of developing algorithms for production ready recommendation or prediction systems using languages and big data platforms such as Scala, Python, R, Java, Spark, Cassandra, and Hadoop
Experience working in an agile software development environment
Passion for solving unstructured and non-standard mathematical and behavioral problems
End-to-end experience with data, including querying, aggregation, analysis, and visualization
Experience implementing machine learning algorithms
Experience with analytics for commercial life science and pharma-specific analyses a big plus
Excellent communication and presentation skills, being able to explain complex problems and the solutions applied, feeling comfortable in being part of the sales process, supporting the sales team, engaging with customers and presenting technical solutions to a nontechnical audience
Experience in data science and data analytics for life science industry especially in GTM strategy and execution a big plus
High-energy self-starter with a passion for your work, attention to detail, and a positive attitude
Great team player, willingness to collaborate and communicate with others to solve a problem.
M.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative disciplines with at least 2 years of experience
Aktana is changing how some of the largest companies in some of the most dynamic industries bring their products to the world. Even though we’re serious about what we do, we never take ourselves too seriously. We work hard, laugh often, and are always challenging ourselves — and each other — to be better every day. Our Product suite is revolutionizing how pharmaceutical companies think about and coordinate efforts with their field sales teams, driving better day-to-day decisions and strategic advancement. Our Decision Support Engine is a best-in-class solution, which begins by codifying a data driven strategy, then provides actionable suggestions and insights to end users in their workflow to encourage execution, and then applies machine learning to the resultant actions / outcomes to create a continuous improvement cycle. Our solution is used by many of the largest pharmaceutical companies in the world to support a variety of high impact use cases.