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Assistant Manager - Statistical Modeling

With a startup spirit and 90,000+ curious and courageous minds, we have the expertise to go deep with the world’s biggest brands—and we have fun doing it. Now, we’re calling all you rule-breakers and risk-takers who see the world differently, and are bold enough to reinvent it. Come, transform with us.
Are you the one we are looking for?
We are inviting applications for the role of Assistant Manager – Data Science!

This role supports Commercial Analytics enablement, which includes understanding of business trends, provide data driven solutions. Within the Analytics, crafted to support brands and go-to-market strategies, Customer Analytics focuses on bringing and scaling analytics solutions that advances Customer centricity and transformation. The Analytics member is accountable for providing analytic expertise and delivering business insights to the Commercial organization. 
We’re looking for a technically sound and who is interested in working within customer environment.
Core data analytics work experience in Life Sciences/Healthcare/CPG;Second preference data analytics experience coupled with hands on technical skills Python, R and PowerBI

•  Professional experience in implementing Analytics for business decision support. Experience in implementing statistical/machine learning models like regression (linear, non-linear, mixed models and Bayesian models), classification and unsupervised models i.e., K-Means clustering and Hierarchical clustering in solving key business problems and delivered measurable impact. Clear understanding of statistical concepts and understanding of the underlying assumptions of the models
•    Good hands on experience in Python/R, SQL, visualization tools (PowerBI or Tableau), MS Excel, MS-power point (for delivering insights and results) 
•    Collaborating with engineering teams to develop prototypes and software products that can be deployed across varied environments (e.g., cloud, on-premises, devices, etc.) 
•    Implementation experience in at least two topics – A. Deep learning concepts (NLP or CV),  B. Cognitive cloud APIs from AWS/Azure, C. Docker and D. MLOPs is preferred 
•    Experience in business analytics in pharmaceutical/CPG Company or KPO.
•    Ability to handle various data sources (format – structured and unstructured; volume – sparse and large), using data modeling to develop reporting capabilities and valuable insights across these data sources is key.
•    Provide increased focus on analytics and emphasize on providing valuable insights to drive improvement opportunities
•    Automate data preparation via data pipelines and insights/report creation where possible
•    Ability to comprehend business needs, convert them into BRD & TRD (Business/Technical requirement document), develop implementation roadmap and execute on time
•    Effectively respond to requests for ad hoc analyses.
•    Good verbal and written communication skills
•    Ownership of tasks assigned without supervisory follow-up
•    Proactive planner and can work independently to manage own responsibilities
•    Personal drive and positive work ethic to deliver results within tight deadlines and in demanding situations 
Minimum qualifications
•    Master’s or bachelor’s in engineering - BE/B- Tech, BCA, MCA, BSc/MSc
•    Master’s in science or related 
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit Follow us on Twitter, Facebook, LinkedIn, and YouTube.

Job: Assistant Manager

Job ID: CPG027577

Primary Location: India - Bangalore

Education Level: Bachelor's / Graduation / Equivalent

Job Posting: Oct 6, 2021

Master Skills List: Operations

Job Category: Full Time