Data Scientist , Pharma Domain

The Artificial Intelligence and Machine Learning (AIML) group at Fractal Analytics is actively involved in helping Fortune 500 companies by enabling them to discover how they can leverage their data using advanced and sophisticated AI/ML algorithms for which we are looking for Data Scientists with the capability to work on independent statistical and machine learning research/ projects. If you are a problem solver with a curiosity for exploring new techniques and technologies in AIML space, then we would like to talk with you.

Responsibilities

Solve business problems & develop a business solution: Use problem-solving methodologies to propose creative solutions to solve a business problem. Recommend design and develop state-of-the-art data-driven analysis using statistical & advanced analytics methodologies to solve business problems. Develop models & recommend insights. Form hypothesis and run experiments to gain empirical insights and validate the hypothesis. Identify and eliminate possible obstacles and identify an alternative creative solution.; Project management: Lead at least one client engagement independently. Execute end to end client engagements. Ensure regular client updates & meetings, stakeholder management, any failure or risk analysis of the project, data sources, tracking execution & success metrics is done effectively & efficiently.; Client relationship management: Build deep client relationship, network & be a thought partner. Anticipate business problems & deliver par excellence.; Sales Support & account growth: Actively focus on opportunities to grow the client along with the senior engagement manager. Support the sales team as required for RFPs and regular sales pitches; Firm building: Contribute to firm growth by participating and conducting training sessions.; Coaching & grooming: Coach & groom the team on gaining knowledge & skills on first principles of analytics techniques, problem-solving, project management, client relationship management

Requirements

5-11 years of Analytics/Predictive Modeling using Python/R, SQL and Machine Learning with strong project management skills; Expertise in Python/R plus SQL & advanced analytics/Statistics Techniques such as general linear model; Lead at least one client engagement independently. Execute end to end client engagements. Ensure regular client updates & meetings, stakeholder management, any failure or risk analysis of the project, data sources, tracking execution & success metrics is done effectively & efficiently; The overall experience of Minimum 7.6 to 10 years with at least 4 to 8 years of hands-on experience in running analytics projects; Expert-level proficiency in statistical/ML predictive techniques such as regression; Project Management, Stakeholder Management, Crisis handling; People grooming (good team player and a leader who identifies and creates synergy in a group); Team handling, Problem-solving, Project management, and communication skills & Creative thinking; Knowledge of data conversion strategy, capturing data, creating source to target definitions for ETL/ data flow process, data quality, and database management; B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent