Manager - Data Science (1-3 Yrs) for a Startup

Wipro Limited
Applicants0
Postedabout 1 month ago

Job Highlights

Experience1 - 3 Yrs
Salary2-7 LPA
LocationLudhiana
Work ModelOnsite
RoleManager - Data Science
Openings2
EmploymentInternship
EducationBCA

Required Skills

PythonRSQLMachine Learning (Supervised & Unsupervised)Deep LearningData Visualization (Tableau, Power BI)Statistical ModelingProblem-SolvingCommunication SkillsTeamworkM.Tech in Computer Science/Data Science/Related Field

Job Description

We are looking for a talented and motivated Manager - Data Science with 1-3 years of experience and an M.Tech degree to join our growing team. You will be responsible for developing and implementing advanced data science solutions to drive business insights and strategic decision-making for our clients in the management consulting space. This role offers an excellent opportunity to work on challenging projects and contribute to innovative solutions within a startup environment.

Key Responsibilities:

Design, develop, and deploy machine learning models and algorithms to solve complex business problems.

Perform data exploration, feature engineering, and model evaluation to ensure optimal performance.

Collaborate with cross-functional teams, including consultants and business analysts, to understand client needs and translate them into data science solutions.

Communicate findings and recommendations clearly and concisely to both technical and non-technical stakeholders.

Stay updated with the latest advancements in data science, machine learning, and artificial intelligence.

Contribute to the development of data-driven strategies and frameworks for clients.

About Wipro Limited

Wipro Limited is a leading global information technology, consulting and business process services company. We harness the power of cognitive computing, hyper-automation, robotics, cloud, analytics and emerging technologies to help our clients adapt to the digital world and make them successful. We are an organization rich in history and tradition, yet dynamic and forward-looking.

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