Job Description: Data Scientist

Position: Data Scientist & Sr Data Scientist

Experience: 4 years to 9 years

Work Mode: Work from Office

{Note: No virtual rounds of this position}

Job Summary

We are seeking an experienced and highly analytical Data Scientist to join our team. The ideal candidate will leverage advanced statistical methods, machine learning, and data-driven insights to solve complex business problems. You will work closely with cross-functional teams to develop predictive models, optimize business processes, and drive strategic decision-making through data.

Key Responsibilities

- Design, develop, and deploy machine learning models and predictive analytics solutions.
- Analyze large, complex datasets to identify trends, patterns, and actionable insights.
- Collaborate with product, engineering, and business stakeholders to define data-driven solutions.
- Build and maintain scalable data pipelines and analytical workflows.
- Develop and evaluate statistical models using appropriate validation techniques.
- Communicate technical findings and recommendations to both technical and non-technical audiences.
- Mentor junior data scientists and provide technical leadership on data science initiatives.
- Stay current with the latest advancements in machine learning, artificial intelligence, and data science.
- Ensure data quality, governance, and compliance with organizational standards.
- Support A/B testing,



experimentation, and performance measurement initiatives.

Required Qualifications

- 4 years to 8+ years of experience in data science, machine learning, or advanced analytics.
- Strong programming skills in Python and/or R.
- Experience with SQL and large-scale data processing.
- Hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or XGBoost.
- Robust understanding of statistics, probability, and experimental design.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Familiarity with big data technologies such as Spark, Hadoop, or Databricks.
- Excellent problem-solving, communication, and stakeholder management skills.

Preferred Qualifications / Experience

- Experience with ML Ops and model deployment. Knowledge of Generative AI, Large Language Models (LLMs), and Retrieval- Augmented Generation (RAG).
- Experience with Docker, Kubernetes, and CI/CD pipelines.
- Familiarity with BI tools such as Tableau or Power BI.
- Experience working in Agile development environments.

Key Skills

- Machine Learning Deep Learning
- Statistical Modeling
- Python, R, SQL
- Data Visualization
- Feature Engineering
- Predictive Analytics
- Data Engineering Concepts
- Cloud Computing
- MLOps
- Problem Solving
- Leadership and Mentoring
- Business Communication

📌 Walk-in || Data Scientist & Senior Data Scientist || Work From Office (Gurugram)
🏢 WM Universal Solutions
📍 Gurugram