Demo

Gen AI and Machine Learning Data Scientist

Zensar Technologies
Sunnyvale, CA Full Time
POSTED ON 4/3/2025
AVAILABLE BEFORE 6/2/2025

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!

You might really grab our attention if you are:

A motivated Data Scientist to join our dynamic team. The ideal candidate will have a strong background in data analysis, deep learning, and GenAI, with the ability to extract meaningful insights from complex datasets and translate them into actionable strategies that drive business growth.

Job Experience Requirements:

Qualifications:

  • Education: Master’s in data science, Statistics, Computer Science, or a related field.
  • Experience: 3 years of experience in data science, analytics, or a related field.
  • Technical Skills:
    • Proficiency in programming languages such as Python or R .
    • Good understanding of statistical principles for ML applications
    • Experience with data manipulation and analysis using libraries such as pandas, NumPy, and SciPy.
    • Exceptional knowledge of Deep Learning techniques , model architectures, and parameter fine-tuning
    • Very good knowledge of GenAI with good understanding of foundation models and transformer architecture
    • Familiarity with data visualization tools (e.g., Matplotlib, Seaborn).
    • Experience with SQL and relational databases.
    • Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.
  • Soft Skills: Excellent problem-solving abilities, strong communication skills, and the ability to work effectively in a team environment.
  • Additional Skills (Preferred):
    • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure).
    • Familiarity with version control systems (e.g., Git).
    • Experience in genomics

Job Responsibilities :

  • Data Analysis: Analyze large, complex datasets to identify trends, patterns, and insights that inform strategic business decisions.
  • Model Development: Develop, implement, and validate predictive models and machine learning algorithms to solve various business problems.
  • Data Cleaning: Preprocess and clean data to ensure its quality and integrity before analysis.
  • Visualization: Create data visualizations and dashboards to communicate findings to stakeholders in a clear and concise manner.
  • Collaboration: Work closely with cross-functional teams, including engineering, product management, and marketing, to understand their data needs and provide relevant insights.
  • Reporting: Generate comprehensive reports and presentations that summarize key findings and recommendations.

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.

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.

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