Data Scientist - Maharashtra, India - LTIMindtree

LTIMindtree Maharashtra, India

Found in: Appcast Linkedin IN C2 - 52 minutes ago

Technology / Internet

Description

LTIMindtree 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 Description

Looking 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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