Data Scientist

7 days ago

Hyderabad Telangana, India World Wide Technology Holding, LLC Full time

**Required Skills**:

- 2-5 years of experience in data engineering, analytics and data sciences.
- Experience in LLM and Gen AI.
- Proficiency in Python, R, SQL and experience with ML libraries and frameworks like Scikit-learn, NumPy, etc.
- Familiarity with ML Ops tools/platforms
- Familiarity with Docker and Kubernetes
- Proficiency in one or more visualization tools like Tableau etc.
- Experience engineering information out of massive, complex and, in some cases, unstructured datasets.
- Strong written, verbal, and interpersonal communication skills. Ability to effectively communicate at all levels in the organization.
- Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity.
- Excellent problem-framing, problem solving and project management skills and ability to change direction quickly.
- Ability to balance and prioritize multiple projects.
- Experience working within a Cloud based environment, SaaS.
- Experience with git and version control workflows.
- Proficient in performance tuning and debugging

**Requirements**:
**As a Data Scientist, you will collaborate with a multi-disciplinary team of solution architects and data engineers on a wide range of business problems. You will be an integral part of IT Advanced Analytics group who are a team responsible for building out capabilities across business strategy, analytics, and Cloud.**

**Data Scientist must be able to**:

- Execute on all phases of the Data Science project lifecycle with mínimal supervision
- Interact with business stakeholders to gather requirements and convey project outcomes

**Responsibilities**:

- Be equal member of a cohesive and selfless team.
- Take complete ownership of your work with the goal of exceeding customer expectations.
- Work closely with analysts, developers, and data architects to ensure development meets requirements and delivers optimal performance.
- Work closely with internal WWT business, engineering and technology teams
- Contribute on all the stages of data science projects: from performing raw data mining to translating complex technical topics into business solutions.
- Maintains and enhance a set of critical data models supporting our business use cases.
- Maintains complex data pipeline supporting our team's mission in democratizing data and enabling a data driven
- organization, partnering with our data engineering teams.
- Effectively communicate actionable insights at all levels of the organization.
- Collaborate closely with stakeholders to improve our view of modeling and decision engines.
- Solve complex problems using advanced mathematical modeling and optimization techniques, including but not limited to, big data pre-processing, problem formulation, features engineering, algorithmic selection and evaluation, hyperparameter tuning for machine learning, and deployment.
- Build and Maintain models for internal customers and business teams, build knowledge and metrics for the product life cycle.
- Flexibility to work as a member of a matrix based diverse and geographically distributed project teams.

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