Data Scientist bei Cognizant Technology Solutions

Job Summary:

We are seeking an experienced Data Scientist with 5 to 7 years of experience to join our team in a hybrid work model. The ideal candidate will have expertise in Databricks, ML Ops, and Artificial Intelligence with a strong background in Transportation and Logistics. This role involves leveraging data to drive insights and innovation in the transportation sector, enhancing operational efficiency and contributing to the company's strategic goals.

Key Responsibilities:

- Analyze complex datasets to extract actionable insights that drive business decisions in the transportation and logistics domain.
- Develop and implement machine learning models using Databricks to optimize logistics operations and improve service delivery.
- Collaborate with cross-functional teams to integrate AI solutions into existing systems, enhancing overall performance and efficiency.
- Utilize ML Ops practices to streamline the deployment and monitoring of machine learning models, ensuring scalability and reliability.
- Conduct research to identify emerging trends in artificial intelligence and their potential applications in transportation.
- Design and execute experiments to test hypotheses and validate model performance, ensuring robust and accurate outcomes.
- Provide technical guidance and support to team members, fostering a collaborative and innovative work environment.
- Communicate complex data findings to non-technical stakeholders, translating insights into actionable business strategies.
- Develop and maintain documentation for data processes, models, and experiments to ensure transparency and reproducibility.
- Ensure data quality and integrity by implementing best practices in data management and governance.
- Collaborate with IT and engineering teams to ensure seamless integration of data solutions into the company's infrastructure.
- Monitor industry developments and continuously update skills to stay at the forefront of data science and AI technologies.
- Contribute to the company's mission by driving data-driven innovation that enhances transportation efficiency and sustainability.

Qualifications:

- Possess a strong proficiency in Databricks, enabling the development and deployment of scalable data solutions.
- Demonstrate expertise in ML Ops, ensuring efficient model lifecycle management and operationalization.
- Have a deep understanding of artificial intelligence techniques and their applications in real-world scenarios.
- Exhibit domain knowledge in transportation and logistics, applying data science to solve industry-specific challenges.
- Show experience in working within a hybrid work model, balancing remote and in-office collaboration effectively.
- Display excellent communication skills, capable of conveying complex technical concepts to diverse audiences.
- Hold a relevant degree in data science, computer science, or a related field, showcasing a solid educational foundation.

Location:

Parsippany, NJ, USA (Hybrid – 3 days onsite)

Compensation:

- Annual salary range: $108,000 to $123,000 USD
- Bonus eligibility based on performance
- Comprehensive benefits package including health insurance, retirement plans, and paid time off