Senior Staff Data Scientist

1 Month ago • 10 Years + • $175,000 PA - $250,000 PA

Job Summary

Job Description

Tekion is seeking a highly skilled Senior Staff Applied Science Engineer to develop innovative machine learning (ML) and artificial intelligence (AI) solutions in the automotive industry. This role involves collaborating with cross-functional teams to design, build, and deploy data-driven solutions, enhancing customer experiences and optimizing business operations. Key responsibilities include leading and mentoring teams, developing advanced ML models, identifying and integrating new data sources, and overseeing the full ML lifecycle. The candidate will also be expected to stay ahead of industry trends, drive research, and implement best practices for MLOps. The position requires strong technical expertise, problem-solving skills, and the ability to work effectively within a team.
Must have:
  • 10+ years of experience in Data Science and Machine Learning.
  • Deep proficiency in Python (or similar languages).
  • Expertise in working with large-scale data processing frameworks.
  • Strong experience with cloud platforms (AWS, GCP, Azure).
  • In-depth knowledge of advanced ML techniques.
Good to have:
  • Expertise in Recommendation Systems and Natural Language Processing (NLP).
  • Deep understanding of the automotive industry and related workflows.
  • Experience building and scaling MLOps pipelines.
  • Familiarity with model governance, compliance, and ethical AI practices.
  • Active participation in the ML/AI research community.

Job Details

About Tekion:

Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe.

Job Description

Tekion is seeking a highly skilled and experienced Senior Staff Applied Science Engineer to contribute to the development of innovative machine learning (ML) and artificial intelligence (AI) solutions within the automotive industry. In this role, you will collaborate with cross-functional teams to design, build, and deploy data-driven solutions that enhance customer experiences and optimize business operations. You will play a key role in implementing and improving ML models, driving technical innovation, and supporting the overall data science strategy. This position requires strong technical expertise, problem-solving skills, and the ability to work effectively within a team.

*Internally, this job is titled Senior Staff, Applied Science

Roles and Responsibilities

  • Strategic Leadership: Lead and mentor cross-functional teams in the design and development of innovative ML/AI solutions aligned with business objectives and long-term product strategy.
  • Advanced Model Development: Architect, build, and deploy advanced machine learning models to address complex automotive industry challenges, ensuring production-level quality and scalability.
  • Data Strategy: Identify and integrate new data sources, develop sophisticated data pipelines, and implement innovative methodologies to enhance model performance and impact.
  • End-to-End Solution Delivery: Oversee the full ML lifecycle, from problem definition and data exploration to deployment and monitoring of production systems.
  • Performance Optimization: Define and track key performance metrics for offline and online evaluations, driving continuous improvements in model accuracy and system performance.
  • Cross-Functional Collaboration: Partner with Product, Engineering, and Business teams to understand requirements, translate them into technical solutions, and ensure successful delivery.
  • Thought Leadership: Stay ahead of industry trends and emerging technologies, influencing the strategic direction of Tekion’s data science initiatives.
  • Innovation and Research: Drive research and experimentation in cutting-edge machine learning areas such as deep learning, reinforcement learning, and generative models to create differentiating solutions.
  • Operational Excellence: Implement best practices for MLOps, model governance, and scalable deployment to ensure reliability and performance of ML solutions in production.
  • Mentorship: Provide technical guidance and mentorship to junior and mid-level data scientists, fostering a culture of learning and innovation.

Skills and Experience

  • Education: Master’s or Ph.D. in Data Science, Machine Learning, Computer Science, Mathematics, or a related field.
  • Experience: 10+ years of hands-on experience in Data Science and Machine Learning, with a proven track record of delivering impactful, production-grade solutions.
  • Technical Expertise: Deep proficiency in Python (or similar languages), with strong experience in ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Big Data Experience: Expertise in working with large-scale data processing frameworks (e.g., Spark, Hadoop) and streaming technologies (e.g., Kafka, SQS).
  • Cloud & Infrastructure: Strong experience with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes) for scalable ML deployment.
  • Advanced ML Knowledge: In-depth knowledge of advanced ML techniques, including deep learning, recommendation systems, NLP, and computer vision.
  • Problem-Solving: Exceptional problem-solving and analytical skills with a strong business acumen.
  • Collaboration: Proven ability to work cross-functionally and influence decision-making at all levels of the organization.
  • Communication: Excellent communication skills, capable of articulating complex concepts to both technical and non-technical stakeholders.

Preferred Skills

  • Expertise in Recommendation Systems and Natural Language Processing (NLP).
  • Deep understanding of the automotive industry and related workflows.
  • Experience building and scaling MLOps pipelines for continuous integration and deployment.
  • Familiarity with model governance, compliance, and ethical AI practices.
  • Active participation in the ML/AI research community or contributions to open-source projects.
  • A proactive, innovative mindset with the ability to thrive in fast-paced, ambiguous environments.

The salary range describes the minimum to maximum base salary range for this position across applicable US locations. The actual compensation offered may vary from the posted hiring range based on geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. In addition to the compensation listed, this position may be eligible for equity compensation, and a bonus or commission whereby total compensation may exceed base salary depending on individual or company performance. Your recruiter can share more about the specific salary range during the hiring process.

Base Salary Range

$175,000 - $250,000 USD

Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, victim of violence or having a family member who is a victim of violence, the intersectionality of two or more protected categories, or other applicable legally protected characteristics. 

For more information on our privacy practices, please refer to our Applicant Privacy Notice here.

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