Data Scientist
1 month ago
is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 750 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world.
Role DescriptionLooking for a motivated candidate having extensive experience working with data and can leverage GCP Cloud for Retail Services. A successful candidate will bring enhanced analysis capabilities aligning with stakeholders, GCP services strategy and contributor to the overall GCP eco system.
Job Description
Key Skills: - Data Scientist, AIML, Python, PANDAs, NumPy, Gen-AI, GCP.
• Overall, more than 4 years of experience in Data Science and AI / ML domain• Experience in machine learning techniques and algorithms, such as regression, classification (Decision trees, Logistic regression, ensemble models).• Extensive experience in data wrangling, data transformation and data analysis skills.• Derive value from data by uncovering underlying data patterns, perform univariate and bi-variate analysis• Should have extensive experience in PANDAs, NumPy, Viz libraries (seaborn, etc.)• Understanding of advanced algorithms, such as CNN, RNN, k-NN, Naive Bayes, SVM, is an asset and good to have experience•Experience in Cloud native skills.• Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset• Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra)• Great communication and presentation skills. Should have experience in working in a fast-paced team culture.• Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc.• Should be a data-oriented person with analytical mind and business acumen• Help Data Scientist with data related queries and based on clients' requirements.• Knowledgeable on agile practices.
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