Hinduja Tech Hiring Data Scientists in Hyderabad

Openings with Hinduja Tech for Data Scientist Role

Introduction

Are you a data scientist with a knack for turning data into actionable insights? Hinduja Tech is offering an exciting opportunity to join their team in Hyderabad. Working with a prestigious client like Stellantis, you’ll be at the forefront of technological innovation in the automotive industry. If you have 5 years of relevant experience and a passion for data science, this role might be your perfect fit.

Company Overview

About Hinduja Tech

Hinduja Tech is a leading global provider of integrated engineering, IT, and digital services and solutions. With a strong focus on the automotive sector, Hinduja Tech leverages cutting-edge technologies to deliver transformative results for its clients.

Client Profile: Stellantis

Stellantis, one of the world's leading automotive manufacturers, is known for its innovation and commitment to sustainability. Partnering with Stellantis means contributing to projects that shape the future of mobility.

Location: Hyderabad

Situated in the heart of India’s tech landscape, Hyderabad offers a vibrant working environment with access to a pool of tech talent and excellent infrastructure.

Role: Data Scientist

As a data scientist at Hinduja Tech, you will play a crucial role in analyzing and interpreting complex data sets to help Stellantis make data-driven decisions. Your insights will be pivotal in enhancing operational efficiency and driving innovation.

Key Responsibilities

Conduct descriptive and predictive analytics.
Perform exploratory data analysis (EDA).
Develop and implement data models and algorithms.
Utilize deep learning frameworks for advanced analytics.
Collaborate with cross-functional teams to integrate data solutions.

Importance of Data Science in the Automotive Industry

Data science is revolutionizing the automotive industry by enabling predictive maintenance, optimizing supply chains, and enhancing customer experiences through personalized services.

Experience Requirements

Total and Relevant Experience

To be considered for this role, you need a minimum of 5 years of experience as a data scientist or in a machine learning role. This experience ensures you have the necessary skills and knowledge to handle complex data challenges.

Why 5 Years of Experience Matters

Five years in the field means you’ve likely encountered a variety of data scenarios and have honed your problem-solving skills, making you well-equipped to tackle the demands of this role.

Mandatory Skills

Descriptive Statistics

Descriptive statistics involves summarizing and organizing data so it can be easily understood. It’s fundamental in providing insights into the data trends and patterns.

Exploratory Data Analysis (EDA)

EDA is critical for identifying patterns, spotting anomalies, and testing hypotheses. It’s the initial step in data analysis, guiding the path for further statistical or machine learning models.

Inferential and Predictive Statistics

Hypothesis Testing: Allows you to make inferences about populations based on sample data.
Regression: Helps in understanding relationships between variables.
Time Series Analysis: Crucial for forecasting and analyzing time-ordered data.
Decision Tree, Clustering, and Classification: These methods are used for making decisions, grouping data, and classifying information, respectively.

Deep Learning Concepts

Data Mining and Data Management

Data mining involves extracting useful information from large datasets, while data management ensures the data is organized and maintained efficiently.

CNN, RNN, GAN

Convolutional Neural Networks (CNN): Excellent for image recognition tasks.
Recurrent Neural Networks (RNN): Ideal for sequential data like time series.
Generative Adversarial Networks (GAN): Used for generating synthetic data that are indistinguishable from real data.

Real-world Applications

These deep learning models are used in a variety of applications, from autonomous driving systems to predictive maintenance in manufacturing.

Technical Proficiency

Proficient with PyTorch

PyTorch is a popular deep-learning framework known for its flexibility and ease of use. It allows for rapid prototyping and efficient model building.

Python and Java

Both Python and Java are essential in real-life problem-solving. Python is known for its simplicity and extensive libraries, while Java offers robustness and performance.

Experience with Tools

Power BI

Power BI is a business analytics tool that provides interactive visualizations and business intelligence capabilities.

Snowflake

Snowflake is a cloud data platform that handles all aspects of data management, from storage to analytics.

Databricks

Databricks is a unified analytics platform that accelerates innovation by unifying data engineering, data science, and business analytics.

Palantir

Palantir is a powerful tool for data integration and analysis, particularly useful for complex data environments.

Choosing the Right Tools

Selecting the right tools depends on the specific needs of the project. Each tool offers unique features that can optimize different aspects of data analysis.

Preferred Industry Experience

Automotive Industry

Experience in the automotive industry is a plus, as it provides an understanding of the specific data challenges and opportunities within this sector.

Manufacturing Industry

Similarly, experience in manufacturing helps in understanding the complexities of production data and operational efficiency.

Compensation

CTC: 13.5 LPA

The offered CTC is competitive, reflecting the skills and expertise required for this role.

Industry Standards

This compensation aligns with industry standards for data scientists in similar roles, ensuring that you’re fairly rewarded for your expertise.

Notice Period

Importance of Immediate to 30 Days Availability

A short notice period indicates the urgency and critical nature of this role. It allows for a quicker onboarding process and immediate contribution to projects.

Impact on the Hiring Process

An immediate to 30-day notice period ensures that projects can proceed without delays, maintaining momentum and productivity.

Application Process

How to Apply

If you meet the criteria and are excited about this opportunity, send your CV to our HR azoo@covenantindia.net.

Contact Information

For further inquiries, you can reach out to the provided email address. Don’t miss out on this chance to advance your career with Hinduja Tech.

Conclusion

This position offers a unique opportunity to work at the intersection of data science and automotive innovation. If you have the required experience and skills, Hinduja Tech and Stellantis provide a dynamic environment to grow and make a significant impact. Apply now and take the next step in your career.

FAQs

What qualifications are necessary for this role?

A minimum of 5 years of experience in data science or machine learning, along with proficiency in descriptive statistics, EDA, and deep learning concepts.

How does Hinduja Tech support career growth?

Hinduja Tech offers a collaborative environment, opportunities for continuous learning, and exposure to cutting-edge projects in the automotive sector.

What makes Stellantis an attractive client to work for?

Stellantis is known for its innovation and commitment to sustainability, offering a platform to work on projects that drive the future of mobility.

Why is the notice period limited to 30 days?

The short notice period reflects the urgent need to fill the role, ensuring projects proceed without delays.

How can I enhance my application?

Highlight your experience with the required skills, particularly in deep learning and data management, and showcase any relevant projects in the automotive or manufacturing industries.