Company Name:-
Syneos Health Commercial Solutions

Job Location:-
Bengaluru, Karnataka

Job Summary:-
Overview
Do you have a noticeable passion for results?
You’re bold, empathetic, and very resourceful, especially when results are at stake.

You have what it takes: a competitive drive coupled with the exceptional ability to communicate the science behind our client’s products and build lasting business relationships.

Such talent and passion make you the right fit for this Data Scientist with Syneos Health.

As a Data Scientist at Syneos Health you Design, develop and program methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.

Interact with product and service teams to identify questions and issues for data analysis and experiments.

Develop and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.

Identify meaningful insights from large data and metadata sources; interpret and communicates insights and findings from analysis and experiments to product, service, and business managers.

Responsibilities
Analyse structured and unstructured data sets using quantitative techniques to solve a wide range of business problems and address client needs
Integrate and manage multiple healthcare-centric data sources for the purposes of deriving quantitative insights, developing machine learning based models, discovering and ranking features and statistical analysis (e.

g.

hypothesis testing).

Use best industry practices to develop model validation and QA pipelines
Efficiently and clearly, communicate complex statistical concepts and project goals to internal and external stakeholders
Gather performance metrics and project requirements from business partners and clients to develop forecasting models, classifiers, and statistically based solutions
Develop and deliver reports and presentations that clearly explain quantitative products and strategies to a wide range of internal and external audiences
Explore data using programming skills to interpret large data sets from a variety of sources including finance, sales, and healthcare claims
Job Requirements
Background in data science and one or more of the fo

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