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Data Scientist
3 months ago
About TCSTCS operates on a global scale, with a diverse talent base of more than 600,000 associates representing 153 nationalities across 55 countries.
TCS has been recognized as a Global Top Employer by the Top Employers Institute - one of only eight companies worldwide to have achieved this status.
Our organizational structure is domain-led and designed to offer businesses a single window into industry-specific solutions. Our agile industry units have embedded capabilities to enable rapid responses that provide a competitive edge to our customers.This, coupled with a unique Global Network Delivery ModelTM (GNDMTM), is recognized as the current benchmark of excellence in technology deployment.
We have made significant investments in digital technology, horizontal, and vertical platforms, allowing us to successfully serve our clients for over 50 years.
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, , 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 teamsThank 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.
