Data Scientist

Data Scientist 

Data Scientist / Data Engineer - Rolling Mill Analytics (3-7 yrs)

 • Full-time in-person

 • Faridabad, HR

Job Overview:

We are seeking an experienced Data Scientist or Data Engineer to join our team, supporting Yogiji Digis’ clients. You will be responsible for analyzing complex data using machine learning and statistical modeling to gain meaningful insights and to drive measurable impact, thereby improving mill reliability and efficiency. 

About Yogiji Digi Pvt. Ltd.

YOGIJI DIGI LIMITED (formerly DIGI DRIVES) incepted in the year 1993, has a long-standing presence in the design and manufacturing of flat steel processing equipment for Cold Rolling Mills, Galvanzining Lines, Color Coating Lines, Pickling Lines and ARP.

The company has a modern, high-precision CNC machining and manufacturing facility in Palwal, Haryana. The focus has been on producing import substitutes such as Mill Housings, Tension Reels, Coil Coaters etc. in house and has contributed to the cause of Self-Reliant India (आत्मनिर्भर भारत). The company has also expanded its portfolio to include the design and manufacturing of energy efficient high-end Non-Ox Furnaces and Baking Ovens for metal coating lines.

The company has been focusing on prioritizing designs which are manufactured with efficiency, cost-effectiveness and high quality. With the concept of “Design and Make in India” company is able to offer truly innovative and global standard equipment and move up in the global supply chain.

Key Responsibilities:

The individual will be held accountable for the delivery and implementation of analytical strategies and high-impact solutions for the client. They will possess a strong background in data analytics, enabling them to effectively solve complex problems. 

• Conduct exploratory data analytics to derive actionable insights.
• Develop and deploy machine learning models to identify and resolve practical challenges.
• Engage in classification, regression, clustering, recommendation, and forecasting model development.
• Communicate business growth requirements and provide insights to non-technical stakeholders.
• Collaborate with cross-functional teams, including automation engineers, design engineers, and product owners. 

Required Skills & Qualifications :

• Three to seven years of hands-on experience in data science.
• A degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, Operational Research, etc.
• Expertise in Python and machine learning libraries (e.g., XGBoost, TensorFlow, PyTorch, etc.).
• Proficiency in data wrangling and strong statistical proficiency.

• Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically.

• Cloud platform experience preferred.
• Excellent communication skills and a team player.