About the job

Why Zensar?

We re a bunch of hardworking, fun-loving, people-oriented technology enthusiasts. We love what we do, and we re passionate about helping our clients thrive in an increasingly complex digital world. Zensar is an organization focused on building relationships, with our clients and with each other and happiness is at the core of everything we do. In fact, we re so into happiness that we ve created a Global Happiness Council, and we send out a Happiness Survey to our employees each year. We ve learned that employee happiness requires more than a competitive paycheck, and our employee value proposition grow, own, achieve, learn (GOAL) lays out the core opportunities we seek to foster for every employee. Teamwork and collaboration are critical to Zensar s mission and success, and our teams work on a diverse and challenging mix of technologies across a broad industry spectrum. These industries include banking and financial services, high-tech and manufacturing, healthcare, insurance, retail, and consumer services. Our employees enjoy flexible work arrangements and a competitive benefits package, including medical, dental, vision, 401(k), among other benefits. If you are looking for a place to have an immediate impact, to grow and contribute, where we work hard, play hard, and support each other, consider joining team Zensar!

Zensar is seeking a Data Scientist with machine learning in RTP , NC location and Hybrid model Role. This is open for Full time with excellent benefits and Contract role as well growth opportunities.

Our might really grab our attention if you have:

We are seeking a highly skilled and motivated Data Scientist to join our asset manager team. The Data Scientist will be responsible for developing, testing, and maintaining high-quality ML-based software applications using Python, Machine Learning libraries, Typescript, Web frameworks like React, and other relevant technologies. This role involves designing scalable solutions on AWS, supporting data-driven decision making, and integrating machine learning models with existing data pipelines.

Key Responsibilities:

ML Application Development: Develop, test, and maintain high-quality ML-based software applications using Python, Machine Learning libraries, Typescript, Web frameworks like React, and other relevant technologies.
Scalable Solutions: Design and implement scalable and efficient solutions on AWS, ensuring robust performance and security.
Data-Driven Decision Making: Support data-driven decision making by using Prefect for workflow orchestration and SQL, Snowflake for data warehousing.
Model Development: Develop and deploy machine learning models using Python and relevant libraries/frameworks.
Integration: Integrate machine learning solutions with existing data pipelines and DevOps practices.
Production Management: Manage production-level code and ensure the reliability of machine learning models in a live environment.
Containerization: Utilize Docker and Kubernetes for containerization and orchestration of applications.
Collaboration: Collaborate with cross-functional teams to capture requirements, design solutions, and ensure successful project delivery.
Support and Troubleshooting: Provide production support, troubleshoot issues, and implement fixes to ensure the smooth operation of software applications.
Code Reviews and Best Practices: Participate in code reviews, contribute to standard methodologies, and continuously improve the development process.
Industry Trends: Stay updated with the latest industry trends and technologies to ensure our solutions remain at the forefront of innovation.

Minimum Qualifications:

Experience: 5+ years of Data Science with proficiency in Python and experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
Technical Experience: 2+ years of experience in Technical Python, AWS, and data analysis tools such as SQL and Pandas.

Preferred Qualifications:

Education: Bachelor's degree in Computer Science, Engineering, or a related field.
Additional Languages: Experience with other programming languages and frameworks

Zensar believes that diversity of backgrounds, thought, experience, and expertise fosters the robust exchange of ideas that enables the highest quality collaboration and work product. Zensar is an equal opportunity employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Zensar is committed to providing veteran employment opportunities to our service men and women. Zensar is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

Zensar does not facilitate/sponsor any work authorization for this position. All candidates must present valid authorization to commence new employment in the U.S. for Zensar. Candidates who are currently employed by a client or vendor of Zensar may be ineligible for consideration.

Zensar values your privacy. We will use your data in accordance with our privacy statement located at: https://zensar.com/privacy-notice

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