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Data Scientist
4 months ago
Required skills:
• Robust Understanding of Data Modelling • Strong Communication and Articulation skills. Must be able to work with CxO level stakeholders • Must be conversant with Power Apps, Azure Synapse, Power BI. Should have minimum of Hands on years of experience on the Microsoft power platforms. • Must have used statistical methods such as hypothesis testing, factor analysis, regression analysis and clustering to unearth statistically sound insights • Programming Skills – Must have Linear Programming and knowledge of statistical programming languages like R, Python, Nice to have database query languages like SQL, Hive, Pig is desirable. • Hands-on experience with data science tools • Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies. • Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests. • Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques. • Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description. • Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data • Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience. • Strong Software Engineering Background
Roles and Responsibilities:
• Data mining or extracting usable data from valuable data sources • Using machine learning tools to select features, create and optimize classifiers • Carrying out preprocessing of structured and unstructured data • Enhancing data collection procedures to include all relevant information for developing analytic systems • Processing, cleansing, and validating the integrity of data to be used for analysis • Analyzing large amounts of information to find patterns and solutions • Developing prediction systems and machine learning algorithms • Presenting results in a clear manner • Propose solutions and strategies to tackle business challenges • Collaborate with Business and IT teams
Thank you for your interest in TCS. Candidates that meet the qualification for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile.
