This role does not support visa-dependent candidates, either now or in the foreseeable future.
Description:
Required Skill Set - Data Scientist, Data Engineer
Programming & Tools
• Strong proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch)
Working knowledge of statistical analysis and modeling
Experience with Jupyter Notebooks, RStudio, and data visualization tools
Familiarity with SQL and data querying
Machine Learning & AI
• Solid understanding of machine learning algorithms (supervised & unsupervised)
Hands-on experience with:
Regression (linear, logistic)
Classification (decision trees, random forests, SVM)
Clustering (K-means, hierarchical)
• Experience with deep learning frameworks (TensorFlow, PyTorch) is a plus
• Predictive Modeling
• Proven experience in predictive modeling and forecasting
Ability to build, validate, and deploy predictive models
Strong understanding of:
• Feature engineering
Model evaluation techniques (ROC, precision/recall, cross-validation)
• Experience working with real-world datasets to derive actionable insights
• Statistics & Data Analysis
• Strong foundation in statistics and probability
Hypothesis testing, regression analysis, and statistical modeling
Data cleaning, transformation, and exploratory data analysis (EDA)
• Data & Deployment (Preferred)
• Experience with cloud platforms (AWS, Azure, or GCP)
Familiarity with Docker/containers is a plus
Exposure to MLOps practices (CI/CD for ML models)
• Soft Skills
• Strong analytical and problem-solving skills
Ability to translate business problems into data solutions
Effective communication and storytelling with data
Collaborative mindset with cross-functional teams
• Nice-to-Have
• Experience with big data tools (Spark, Hadoop)
Exposure to NLP, computer vision, or time-series forecasting
Knowledge of model deployment APIs (Flask, FastAPI)
• As a Data Engineer you'll be responsible for acquiring, curating, and publishing data for analytical or operational uses. Data should be in a ready-to-use form that creates a single version of the truth across all data consumers, including business users, data scientists, and Technology. Ready-to-use data can be for both real time and batch data processes and may include unstructured data. Successful data engineers have the skills typically required for the full lifecycle software engineering development from translating requirements into design, development, testing, deployment, and production maintenance tasks. You'll have the opportunity to work with various technologies from big data, relational and SQL databases, unstructured data technology, and programming languages.
Application Accepted: 7/30/2026
The annual salary for this position is between $110,000 - $125,000 depending on experience and other qualifications of the successful candidate.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
• Medical, Dental & Vision Insurance
• 401(k) with Company Match
• Employee Stock Purchase Program
• Paid Time Off & Holidays
• Paid Parental Leave
• Short-Term & Long-Term Disability Coverage
• Employee Assistance Program (EAP)
• Mental Health & Wellbeing Programs
• Health Advocacy & Virtual Care Services
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable la
#LI-AV1#CB#Ind123
