Sr. Data Scientist (Job Code : J43446)  

 Job Summary
Share this job on Facebook  Share this job on Twitter  Share this job on Linked In
5.00 - 8.00  Years 
Sr. Data Scientist
BE-Comp/IT, BE-Other, BTech-Comp/IT, BTech-Other, MCA
Educational Level:
Stream of Study:
Industrial Type:
IT-Software/Software Services
Functional Area:
IT Software - DBA / Datawarehousing
Key Skills:
Data Scientist
Job Post Date:
2021-03-23 21:39:20  

 Company Description
Using embedded artificial intelligence refined by real time human insight, our client gives life sciences sales and marketing teams the information they need to improve the customer experience.

Our client equips life science companies with the decision support technology to quickly evaluate mountains of data, extracting only what’s relevant and valuable at the time of decision. With brand strategy as a starting point, our client`s software analyzes market data, channel activity and HCP preference to provide life science companies with the insights, clarity and guidance to deliver the right information at the right time to physicians and their patients.

More than half of the worlds top 20 pharmaceutical companies rely on our clients software to put complex data into context, coordinate channel activity and improve sales effectiveness significantly.

Headquartered in San Francisco, they also have offices in Philadelphia, London, Barcelona, Tokyo, Osaka, Shanghai, Beijing, Sydney, and Sao Paulo.

 Job Description
My client is looking for an experienced Data Scientist or Senior Data Scientist to join our Data Science team. The Data Science team builds mathematical and behavioral economics models underpinning my client`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 the 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.

What you`ll own and accomplish...
? 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

What you need to be successful...
? 5 years+ of Data Science experience
? 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