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DG-Assistant Manager-Data Scientist

Min Experience

6 years

Location

bangalore

JobType

full-time

About the job

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About the role

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. 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 for minimum 6+ years; Second preference data analytics experience coupled with hands on technical skills Python, R and PowerBI Work location: Bangalore Responsibilities At least 6+ years of 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, 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 US Healthcare. 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

About the company

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.

Skills

python
sql
power-bi
tableau
data-modeling
machine-learning
deep-learning
nlp
computer-vision
aws
azure
docker
mlops