Job Description

Location: Hyderabad, India

Job Type: Full-time

Experience: 3+ years

About Us

NStarX is an AI-native, cloud-native services & platform company that helps enterprises accelerate digital transformation through:

• AI Engineering & Data Modernization
• Enterprise GenAI & Agentic AI
• Federated Learning & Confidential Computing
• Predictive & Prescriptive AI Solutions
• “Service-as-Software” – our core platform model
• Domain solutions across Healthcare, Media, Manufacturing, Finance & Retail

For more information, please visit:
https://nstarxinc.com/

Role Description

Position Summary: As a Data Scientist at NStarX, you will play a key role in analysing large datasets,
developing predictive models, and providing actionable insights that drive business decisions.
You will collaborate with cross-functional teams to identify trends, build data-driven strategies,
and contribute to the continuous improvement of our data processes.

Key Responsibilities

• Collect, process, and analyse large datasets to identify trends, patterns, and insights that inform business strategies.
• Develop and deploy predictive models using statistical, machine learning, and deep learning techniques.
• Work closely with stakeholders to understand their data needs and translate business requirements into analytical solutions.
• Build and maintain data pipelines to ensure data quality and accessibility for analysis.
• Perform exploratory data analysis (EDA) to uncover key insights and guide decision-making.
• Present findings and recommendations to both technical and non-technical audiences through reports, dashboards, and presentations.
• Collaborate with data engineers and software developers to integrate analytical solutions into production systems.
• Stay current with the latest developments in data science and machine learning and apply new techniques as appropriate.
• Contribute to the development and implementation of best practices for data analysis, modelling, and reporting.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• At least 3 years of professional experience in data science or a related role.
• Proficiency in programming languages such as Python or R.
• Strong knowledge of statistical analysis, machine learning algorithms, and data visualization tools.
• Experience with data manipulation and analysis using libraries such as Pandas, NumPy, and Scikit-learn.
• Familiarity with data visualization tools such as Tableau, Power BI, or Matplotlib.
• Experience with SQL and NoSQL databases for data extraction and manipulation.
• Understanding of cloud platforms like AWS, Azure, or Google Cloud is a plus.
• Strong problem-solving skills and the ability to work independently and in a team.
• Excellent communication skills, with the ability to convey complex technical concepts to a non-technical audience.
• Detail-oriented with a focus on delivering high-quality, accurate work.

Preferred Qualifications

• Experience with big data technologies such as Hadoop, Spark, or Kafka.
• Knowledge of deep learning frameworks like TensorFlow or PyTorch.
• Experience with A/B testing and experimental design.
• Familiarity with version control systems such as Git.

Benefits

• Competitive salary and comprehensive benefits package.
• Opportunities for professional growth and career advancement.
• Collaborative and innovative work environment.