Data Scientist

Position Overview AI and analytics give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before
In order to do so, our clients need new business models built from analyzing dynamically changing customer and business operations data to drive ideal business decisions A Data Scientist in Cognizant s Data+ practice brings relevant context to complex data for business and IT for intelligent systems and human decisioning They work within the domains of data management, business intelligence, descriptive analytics and advanced modeling They will use a variety of machine learning and AI approaches to deliver better, faster, and smarter insights and intelligence to some of the world s most successful businesses our clients Responsibilities Build an in-depth understanding of the opportunity, challenge or issue in the domain and its associated data Interact with and integrate large, diverse and impactful datasets across business functions Research, design, implement, and evaluate sophisticated analytics, including machine learning models Take initiative in evaluating and adapting new innovative approaches and methods from data science research Investigate data visualization and summarization techniques for conveying key findings Responsible for telling the data and analytics story to business users in a clear and concise manner and bring value from the data storytelling Communicate findings, obstacles and opportunities to clients to help drive the delivery to market Basic exposure working with Generative AI Basic Qualifications Bachelors or Master s degree in IT-related field and 0-3 years of IT experience Strong problem solving and analytical thinking skills with business interpersonal skills (both written and oral) Hands-on experience in data cleaning and data quality assessment, hypotheses testing, data exploration and mining, visualization techniques, algorithm selection and building predictive models using traditional machine learning algorithms Experience with traditional modeling algorithms (eg regression, log-regression, clustering, predictive modeling, etc) Hands on experience with Python and R/R Studio Exposure to working with SQL, Relational Database Management Systems (eg SQL Server, Oracle) Distinguishing Qualifications Familiarity with neural networks and other deep learning approaches Familiarity with developing and deploying models on the Hadoop environment Some experience with AWS Sagemaker, Google TensorFlow or MS Azure ML Experience with collaborative development workflows (eg Microsoft VSTS) Knowledgable in application development using Hadoop components (HDFS, Spark, Hive, etc) Solid understanding of Tableau or other BI visualization tools, Google Analytics, Adobe Analytics, SAS Open-Source Tools in any of the above with experience in D3/R/Shiny/Python/GitHub Awareness of Narrative Science/ YSEOP/Automated Insights and concepts of NLG/NLP