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Gartner - Data Scientist/Senior Data Scientist

8.00 to 11.00 Years   Gurugram   13 Mar, 2023
Job LocationGurugram
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    This is a unique opportunity for a creative and charismatic individual to lead a team of data scientists of a data science research and product development team for Gartner Digital Products and Innovations Group, a fast-growing data science organization. Our mission is to drive increasing business impact by building world class data science practices. We are looking for a Senior data scientist to partner with product managers, business analysts and data engineers to build and launch Machine Learning and Artificial Intelligence Business capabilities related to search and other digital experiences. The person is expected to manage, mentor and help develop junior data science staffs.Job description :- Manage team of high performing data scientists to develop data science solutions leading to high value business impact.- Manage multiple Data science projects and work closely with the Data Engineering team, Product owners and business leaders to deliver high value business capabilities.- Own multiple business goals, KPIs and Key initiatives- Be responsible for high quality data science solutions with respect to accuracy and coverage. Be accountable for solutions- scalability, stability, and business adoption.- Play decisive role and mitigate project risks in an ambiguous situation. Ensure alignment among the workstreams and the business objectives.- Responsible to pitch ideas, present solutions and influence senior leaders with strong business value propositions.- Managing, technical mentoring and developing junior data scientists to level up.- Help data science team with strong subject matter expertise in at least one of Machine learning, Statistical Modelling and Natural Language Processing.- Be responsible for long term vision, strategy, and solution roadmap to align with bigger business objectives and mission critical priorities of the organization.Essential must-have skills :- 8+ years hands-on experience building Machine Learning Models, Natural Language Applications or artificial intelligence business capabilities.- Bachelors Degree in a quantitative field (math, stat, computer science, engineering, etc.) required; Masters degree is preferred and PhD a strong plus.- Experience and proficiency with Python coding, Big data technologies like PySpark and important python machine learning libraries and statistical packages.- Working experience with SQL/relational databases (e.g., Oracle) and NoSQL databases (e.g., MongoDB, Neo4j), Linux and shell scripting.- Hands on Experience of working in Deep Learning Models and related frameworks like TensorFlow, Keras, PyTorch etc.- Experience working within cloud computing environment such as Azure or AWS.- Demonstrated ability to translate quantitative analysis into actionable business strategies.- Strong working knowledge of Lean product principles, Software development lifecycle, IT and data science/machine learning topics- Practical, intuitive problem solver with a demonstrated ability to translate business objectives into actionable data science tasks and translate quantitative analysis into actionable business strategies- Ability to work collaboratively with a variety of business, data science and technical stakeholders,

Keyskills :
machine learninganalyticssqlalgorithmsoracle dbabig data

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