Senior Data Scientist - Urgent (Bengaluru)

We are looking to hire a focused Senior Data Scientist to join our amazing team at Epsilon in Bangalore. Growing your career as a Full Time Senior Data Scientist is an incredible opportunity to develop competitive skills. If you are strong in creativity, communication and have the right experience for the job, then apply for the position of Senior Data Scientist at Epsilon today! When youre one of us, you get to run with the best. For decades, weve been helping marketers from the worlds top brands personalize experiences for millions of people with our cutting-edge technology, solutions and services. Epsilons best-in-class identity gives brands a clear, privacy-safe view of their customers, which they can use across our suite of digital media, messaging and loyalty solutions. We process 400+ billion consumer actions each day and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon India is now Great Place to Work-Certified. Epsilon has also been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Positioned at the core of Publicis Groupe, Epsilon is a global company with more than 8,000 employees around the world. For more information, visit epsilon.com/apac or our LinkedIn page. Job Description Powerful predictors of the future, our Analytics team blends data science and business intelligence to enable extra foresight for our platform offerings. They connect insights to results for our clients by working closely with senior stakeholders, staying in tune with market trends, with the power of our big data assets. By leveraging new age analytic tools and emerging technologies, the team nurtures a perfect learning environment for enthusiastic individuals to grow and succeed. Why we are looking for you - 4+ years professional experience in the field of data science or business intelligence. - Good understanding of Digital Marketing in Travel or Retail Industry - Professional experience working with R - Professional experience working with Power BI, Cognos, Dash, Looker, Domo - Professional experience in multi-touch attribution, market mix modelling, fraud analytics, customer journey, churn modeling, customer segmentation, hypothesis testing, a/b testing and recommendation engines. - Demonstrated proficiency in PYTHON/SCALA/SQL and BIG DATA technologies and the proven ability to program in big data/cloud technologies such as AWS & SPARK; minimum 3 years of experience - Experienced with Machine Learning algorithms such as logistic regression, linear regression, lasso regression, k-means, random forest; minimum 2 years of experience What you will enjoy in this role We are looking for a Sr Data Scientist who is passionate about solving business problems for our clients through the application of data science, with best in class solutions, that also provides us competitive edge. The candidate will have to collaborate/consult with clients and internal teams (Client Support, Product Management) to define, derive, and deploy analytical solutions to solve their business problems. One who is passionate about deriving actionable insight from complex data, can effectively communicate complex problems in simple business terms to stakeholders/clients. What you will do - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Develop a use case roadmap for a problem area or capability for the business. Frame the business problem into a Data Science or modelling problem. - Extract data from multiple sources. Mine and analyze data from company databases to drive optimization and improvement of product. - Work as the data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with Client Support, Product Management and Engineering team to strategize and execute the development of data products. - Processing, cleansing, and verifying the integrity of data used for analysis. Undertake preprocessing of structured data. - Data mining using state-of-the-art methods. Selecting features, building and optimizing models using ML/AI techniques. - Present technical solutions to internal and external stakeholders in a formal setting, effectively communicating key concepts and functionalities - Effectively manage stakeholders expectations via direct and frequent communication with high quality results - Develop front end deliverable solutions for stakeholders utilizing BI tools such as Tableau, Cognos, Excel, or similar - Support internal stakeholders with ad-hoc business problems, charting and reporting - Work on multiple assignments concurrently, while handling priorities and challenges and meeting timelines basis project plan and roadmap. - Build self-service tools for error detection, diagnosis, and predictive