With a startup spirit and 90,000+ curious and courageous minds, we have the expertise to go deep with the world&rsquos biggest brands&mdashand we have fun doing it. Now, we&rsquore calling all you rule-breakers and risk-takers who see the world differently and are bold enough to reinvent it. Transformation happens here. Come, be a part of our exciting journey! Are you the one we are looking for? Inviting applications for the role of Sr. Data Scientist! In this role, you are expected to have enterprise level experience for Machine Learning Model build, validation, scoring, monitoring, etc. and do analysis on back-office operations, be able to understand and translate and integrate the analysis from back-office to front-office. Responsibilities . Manage a team of data scientists, machine learning engineers and big data specialists . Interpret and analyze data problems. To deal with huge data, have good understanding on data science and have worked on relational databases. . Write computer programs and analyze large datasets to uncover answers to complex problems. Need to be comfortable writing code working in a variety of languages such as R, Python, and SQL. . Ensure data quality and integrity through best practices and compliance to framework, architecture and coding standards. . Conceive, plan and prioritize data projects . Build analytic systems and predictive models . Test performance of data-driven products . Visualize data and communicate key findings with potential business impact. . Experiment with new models and techniques . Align data projects with organizational goals . Project Management and Client Interaction . Communicate across a diverse audience across all levels of organization. Qualifications we seek in you! Minimum qualifications . M.A. in Economics or M.S. in Statistics with relevant experience in Data Science/advanced analytics . Mathematics and Statistical Background . High level of intellectual curiosity about the Data Science and Analytics . Extensive Experience with Analytics products and solutions . Proven experience as a Data Scientist or similar role . Prior Experience with Model build (Python / SQL scripts) . Predictive Analytics – Well versed with AI and Machine Learning . Good applied statistics skills, such as distributions, statistical testing, regression, etc. . Building and implementing models, using/creating algorithms and creating/running simulations using a variety of Tools . Knowledge and experience of tools/techniques: Forecasting, Linear Regression, Logistic Regression, Regularization, Segmentation (Decision Trees, CHAID, CART), Cluster Analysis, Factor Analysis, variable screening, Machine Learning – Random Forest, Gradient Boosting, SVM, XGBoost. . Good to have exposure to Google Cloud services- GCP or any cloud environment used for Data storage and Data ingestion/ transformation and data mining, as well as model training and testing, using the toolkits provided by the cloud platform like GCP – DataProc, AI Notebook, Big Query etc. Preferred qualifications . Excellent organizational and leadership skills . Passion for analytics, technology, and a keen learner to stay abreast on what&rsquos latest . Ability to inspire and influence change in technology application . Ability to work in diverse teams and with multiple stakeholders . Conflict management and negotiation skills . Skill gap identification and development of our global teams . Excellent verbal and written communication skills 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 www.genpact.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.
- Salary Range 30,000 to 40,000
- Salary payable Per Month