Title: Data ScientistExperience: 4 - 8 YearsLocation: Bengaluru/BangaloreJob Description:Roles & Responsibilities:- Solve problems that are challenging and take them right on the face to solve it at any cost, come what may.- Identify, develop and implement the appropriate statistical techniques, algorithms and data mining analysis to create new, scalable solutions that address business challenges across the organization, as well as provide actionable insights with a clear impact on ROI.- Innovate new modelling and machine learning approaches.- Communicate your findings to the appropriate teams through visualisations.- Collaborate and communicate findings to diverse stakeholders.- Define and develop, maintain and evolve data models, tools and capabilities for predicting.- Establish trusted technical advisor relationship and promote and drive innovation and thought leadership.- Provide solutions but not limited to: Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization.- Create interactive tools using cutting-edge visualization techniques (beyond standardvisualization like Tableau, Spotfire, Qlikview etc.- Ability to work with various forms of structured, semi-structured and unstructured data sources.Skill Set & Experience Required:- 4 - 8 Years of experience in a related position as a Data Scientist or Business Analyst building predictive analytics solutions.- Programming background and expertise in building models using at least one of the following languages: SAS, Python, R- Proficient in Machine Learning or Natural Language Processing.- Advanced knowledge of statistical techniques, machine learning algorithms, data mining & text mining.- Exposure to Big Data platforms like Hadoop and its eco-system (Hive, Pig, Sqoop, Mahout)- Strong story-telling & articulation skills.- Strong Statistics Background.- Strong communication and organizational skills.
The duration of this internship is __3__ months.
• Proactively assist customers with technical issues that may arise with their solution implementation. Troubleshoot and perform root cause analysis. Identify and provide timely workarounds and solutions when possible, to meet customer’s business needs. • Reproduce in house when possible and file engineering tickets. Work with engineering and product management to prioritize as customer advocate to get resolutions in next release. When possible, analyze code and participate in engineering processes to develop and deploy defect fixes as service packs/hot fixes. • Constantly stay ahead in communicating with customers. Manage expectations properly to avoid escalations. Be a strong voice of customers during engineering planning. • Assist through release cycles in testing new features, enhancements and defect fixes. • Work with client business areas to design, build, enhance, and deliver enterprise wide data analytic dashboards and reports supporting multiple business units. • Collaborate with key business users to identify needs and opportunities for improved data management and delivery. • Design and build ETL processes and scripts. • Provide technical knowledge and business support to the BI team. Candidate fitment: • 6-8 years experience in Cognos Business Analytics Reporting and Analytical roles; proficiency in SQL, Excel, Relational Databases, Oracle, SQL Server • Ability to manage multiple timelines and priorities. • Experience in manufacturing industry is a PLUS. • Highly developed analytical, problem-solving, and consulting skills, with a proven track record of using data to provide actionable business results. • Experience in validating an overall solution from the perspective of performance, scalability, security and capacity. • The ideal candidate is dedicated to making it easy for customers to use our product by leveraging business expertise and using rigorous logic and creative methods to solve difficult problems with effective solutions.