Senior Data Scientist L3

Wipro; Atlanta (GA); On-site; USD 45,000 - 121,000; Full time

Benefits offered by this job

Medical and Dental Benefits

Disability Insurance

Paid Time Off

Flexible Leave Options

Job summary

A leading digital transformation company in Atlanta seeks a Data Scientist. The role involves designing, testing, and maintaining various software programs, applying your expertise in data science and machine learning. You will communicate complex concepts to diverse stakeholders and collaborate with multiple teams. Candidates should have strong skills in Python, SQL, and machine learning frameworks, and 3-5 years of experience is preferred. The expected salary ranges from $45,000 to $121,000, with comprehensive benefits offered.

Qualifications

• Proficiency in data exploration and statistical modeling.
• Experience with machine learning and AI frameworks.
• Understanding of effective communication across teams.

Responsibilities

• Design, test, and maintain software programs.
• Translate technical concepts into business insights.
• Collaborate with teams to build AI-driven solutions.

Skills

Data Exploration

Feature Engineering

Statistical Modeling

Predictive Analytics

Python

R

SQL

Machine Learning

AI Engineering

Cloud Platforms (AWS)

Large Language Models (LLMs)

Prompt Engineering

Automation

Analytical Thinking

Job description

The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters

Job Description

Role Purpose

The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters

Required Skills

Core Data Science & Analytics

• Demonstrate strong expertise in data exploration, feature engineering, statistical modeling, and predictive analytics, with the ability to operationalize models in production environments.
• Have deep proficiency in Python (preferred) and/or R, with experience using modern data science libraries such as NumPy, Pandas, Scikit-learn, and PyTorch or TensorFlow.
• Be highly proficient in SQL and experienced in working with large-scale data warehouses and data pipelines.

Machine Learning & AI Engineering

• Possess strong experience developing, evaluating, and deploying machine learning and deep learning models across the model lifecycle.
• Experience building and deploying models using modern ML and MLOps practices, including experiment tracking, model versioning, CI/CD for ML, and monitoring.
• Familiarity with cloud-based ML platforms (AWS preferred) and distributed data processing frameworks (e.g., Spark).

Generative AI & Agentic Systems

• Hands-on experience with Large Language Models (LLMs) and Generative AI frameworks, including prompt engineering, retrieval-augmented generation (RAG), and model orchestration.
• Experience building AI agents or agentic workflows capable of reasoning, tool use, multi-step task execution, and autonomous decision-making.
• Familiarity with LLM application frameworks (e.g., LangChain, LlamaIndex, or similar orchestration frameworks).
• Experience with vector databases, embeddings, and semantic search for building knowledge-driven AI systems.

Agentic Coding & AI-Assisted Development

• Strong understanding of AI-assisted software development workflows, including agent-based coding, code generation, automated debugging, and evaluation loops.
• Experience integrating LLMs with APIs, internal tools, and data systems to build production-grade AI copilots or autonomous workflows.

Business Impact & Communication

• Ability to translate complex technical concepts into clear business insights, communicating effectively with both technical and non-technical stakeholders.
• Strong analytical thinking with the ability to work with ambiguous or incomplete data, develop creative analytical approaches, and connect results to business outcomes.

Domain & Collaboration

• Experience applying data science in digital marketing, customer analytics, or growth analytics is highly desirable but not mandatory.
• Comfortable collaborating with engineering, product, and business teams to build scalable data products and AI-driven solutions.

Competencies: Client Centricity, Passion for Results, Execution Excellence, Collaborative Working, Learning Agility, Problem Solving & Decision Making, Effective communication.

Experience: 3-5 Years

The expected compensation for this role ranges from $45,000 to $121,000. Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.

Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.

Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.