Hiring alert - Tata Technologies is recruiting for a Data Scientist

Short Description:

Tata Technologies is seeking a Data Scientist with expertise in AI and ML to join their team in Pune, India. The role involves designing, deploying, and validating predictive analytics and ML models for new product development projects. Candidates should possess strong skills in machine learning algorithms, statistical methods, and programming languages like Python and R. Additionally, excellent communication skills and a proactive approach to problem-solving are essential. Tata Technologies offers a dynamic environment for individuals passionate about leveraging data-driven insights to drive innovation in the automotive domain.

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Position: Data Scientist
Company: Tata Technologies
Location: Pune, India
Job type: Full time
Job mode: Onsite

Introduction

Tata Technologies is seeking a talented Data Scientist with expertise in Artificial Intelligence (AI) and Machine Learning (ML) to join our dynamic team. This role offers an exciting opportunity for individuals with a passion for leveraging data-driven insights to drive innovation in the automotive domain. As a Solution Developer, you will play a crucial role in designing, developing, and deploying predictive analytics and ML models to support new product development initiatives and projects. This comprehensive paraphrased job description will delve into the responsibilities, skills, and additional requirements associated with this position, providing detailed insights into what it means to be a part of our esteemed organization.

Role Overview

Designation: Solution Developer

Role: Data Scientist

Experience: 2-5 Years

Education: B.E./ B.Tech.

Grade: L1.1

Location: Pimpri, Pune

Responsibilities

As a Data Scientist at Tata Technologies, you will be responsible for:

1. Model Development and Deployment

• Designing, developing, testing, validating, and deploying Predictive Analytics/Machine Learning (ML)/Statistical models as part of new product development and/or projects.
• Leveraging machine learning algorithms, statistical methods, and programming languages such as Python, R, and Flask to create robust and scalable solutions.
• Utilizing neural networks and other advanced techniques to extract actionable insights from complex datasets.

2. Data Visualization and Presentation

• Using data visualization tools such as Tableau and PowerBI to communicate ongoing insights effectively.
• Presenting findings to technical audiences in a clear and concise manner, facilitating informed decision-making processes.

3. Continuous Learning and Knowledge Sharing

• Staying abreast of the latest developments in ML and Big Data technologies and sharing learnings with cross-functional teams.
• Demonstrating exceptional problem-solving abilities and a deep understanding of statistical methods to address complex challenges effectively.

4. Analytical Modeling and Forecasting

• Applying machine learning methods such as cluster analysis, decision trees, random forest, and logistic regression to model and predict research outcomes.
• Proficiency in advanced mathematical techniques including correlation, regression, time series analysis, and analysis of variance to forecast outcomes accurately.

5. Data Management and Interpretation

• Experience working with databases such as Teradata, Oracle, SQL, and NoSQL databases, interpreting data, and performing feature engineering and data wrangling tasks.
• Handling both unstructured and structured datasets with finesse, ensuring data integrity and accuracy throughout the analysis process.

Additional Requirements

In addition to the core responsibilities mentioned above, the ideal candidate should possess the following attributes:

• Excellent communication skills and proficiency in programming languages.
• Strong passion for work and a proactive approach to problem-solving.
• Willingness to work in shifts as required and flexibility to adapt to changing project requirements.
• Comfortable working at client sites with an alternate Saturday as the weekly off.
• Basic engineering background with a focus on the automobile domain is preferred.
• Eagerness to learn and adapt to new technologies and methodologies to drive continuous improvement.

About Tata Technologies

Company Overview

Tata Technologies is a global product engineering and digital services company dedicated to engineering a better world. With a mission to help the world drive, fly, build, and farm, we enable our customers to realize better products and deliver better experiences across various industries. Our strategic engineering partnerships empower businesses to conceptualize, develop, and realize innovative solutions that enhance safety, sustainability, and overall quality of life.

Solutions Offered

We offer a comprehensive range of solutions covering the entire product value chain, including outsourced product engineering services, digital transformation services, upskilling solutions, and value-added reselling of software products. From assisting in the development of connected, autonomous, and electric vehicles (EVs) to delivering end-to-end turnkey product development solutions, we leverage our experience and expertise to bring our clients' visions to life.

Driving Innovation

At Tata Technologies, we are committed to inspiring a new generation of engineers who embrace the opportunities presented by the convergence of digital technology and traditional engineering. By fostering collaboration among diverse teams with varying skill sets, we redefine the boundaries of engineering and amplify its impact on addressing humanity's most pressing challenges and opportunities.

Global Presence

Headquartered in Pune, India, Tata Technologies operates in more than 27 countries worldwide, supported by a team of over 12,000 innovators dedicated to engineering a better world every day for everyone.

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