Data Scientist / Data Engineer – ADAS

Job Description

We are looking for a Data Scientist / Data Engineer to support the client's ADAS organization. This role sits at the intersection of data engineering and applied data science, working with large-scale sensor and vehicle data used to develop, validate, and improve ADAS functions (e.g., collision avoidance, lane keeping, adaptive cruise control, sensor fusion). The ideal candidate combines strong technical data skills with the interpersonal drive needed to work across multiple engineering teams and extract the right requirements and context.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Engineering, Electrical Engineering, or a related field.
• 3+ years of experience in data engineering or data science roles, ideally within automotive or another safety-relevant industry.
• Demonstrated experience working with ADAS-related data (sensor data, perception outputs, vehicle logs) or strong interest and transferable experience from adjacent domains (robotics, autonomous systems).
• Strong proficiency in Python and standard data engineering toolchains; hands-on experience with Git/GitHub for version control and collaborative development.
• Experience with large-scale data processing frameworks (e.g., Spark, Pandas, SQL-based data warehouses).
• Familiarity with data pipeline orchestration tools (e.g., Airflow) is a plus.
• Understanding of automotive data standards (CAN, DBC files, AUTOSAR data concepts) is a strong plus.

Personal Attributes (Critical for This Role)

• High drive and initiative — comfortable proactively reaching out across departments (ADAS function teams, test/validation, software, systems engineering) to gather context and clarify ambiguous requirements.
• Strong communication skills; able to translate between technical data language and functional/engineering language.
• Curious, self-directed problem-solver who takes ownership of data quality and pipeline reliability end-to-end.
• Comfortable operating in a fast-paced, cross-functional environment with evolving priorities.

Job Responsibilities

• Design, build, and maintain data pipelines for ingesting, processing, and structuring large volumes of ADAS sensor and test data (camera, radar, lidar, CAN bus logs).
• Apply data science methods to analyze vehicle and sensor datasets, supporting feature development, algorithm validation, and performance benchmarking of ADAS functions.
• Collaborate with ADAS function owners, test engineers, and software teams to translate development and validation needs into data requirements.
• Develop and maintain reusable Python-based tools and scripts for data extraction, transformation, and analysis, version-controlled via GitHub.
• Support root-cause analysis of ADAS performance issues using data-driven investigation.
• Contribute to data quality frameworks, labeling standards, and metadata management specific to ADAS datasets.
• Present findings and data insights clearly to both technical and non-technical stakeholders.

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What we offer

Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people's lives.

Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.

DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.

Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.

Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.

Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.

About GlobalLogic

GlobalLogic is a full-lifecycle product development services leader that combines chip-to-cloud software engineering expertise and vertical industry experience to help our customers design, build, and deliver their next-generation products and digital experiences. We expertly integrate design, complex engineering, and agile delivery capabilities to deliver superior business outcomes for global brands in telecom, automotive, healthcare, technology, media and entertainment, manufacturing, and semiconductor industries.

Headquartered in Silicon Valley, GlobalLogic employs over 25,000 designers and engineers across the globe. Analysts like NASSCOM and Zinnov have recognized us for being a top company in our field, and we are consistently nominated as a preferred employer by both global HR consultative firms and local job boards. By creating a work environment that is exciting and flexible, and by fostering growth through ongoing learning and development programs, we empower our employees to achieve both their professional and personal goals.

At GlobalLogic, we make amazing products — and careers.