Staff, Data Scientist - Data Operations & Enrichment

Torc Robotics • Ann Arbor, MI

1d

About The Position

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team:
We are seeking an experienced Staff Data Scientist to join our Data Operations & Enrichment team. Our team is responsible for identifying and coordinating the long-term data needs for the company and ensuring efficient use of quality datasets across the organization. This includes dataset profiling, data retention strategies, integration and partnership opportunities, and conducting data collection campaigns that enable product development.

Requirements

• Bachelor’s, Master's, or Ph.D. degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 8+ years of professional experience in data science or related roles, demonstrating hands-on experience in developing and deploying machine learning models within real-world applications.
• Proficiency in pertinent programming languages such as Python, along with expertise in utilizing data analysis libraries (e.g., NumPy, pandas, scikit-learn).
• Strong grounding in statistics and mathematics, encompassing skills in hypothesis testing, regression analysis, clustering, and time series analysis.
• A proven track record of successfully leading and executing intricate data science projects, spanning problem formulation, data preprocessing, model selection, and evaluation.
• Expertise in diverse machine learning techniques, including supervised and unsupervised learning, deep learning, natural language processing, and reinforcement learning.
• Proficiency in working with big data technologies like Hadoop, Spark, or other distributed computing frameworks.
• Demonstrated experience processing large volumes of sensor data and applying time series data analysis techniques.
• Deep understanding of SQL querying in data warehouses and experience leveraging business intelligence tools (e.g. Tableau, PowerBI, AWS Quicksight, Ploty, Matplotlib) for data visualization.
• Excellent analytical and problem-solving prowess, coupled with the ability to approach challenges with inventiveness and creativity.
• Excellent communication skills to effectively convey technical findings and concepts to both technical and non-technical stakeholders.
• Adaptability to thrive within a fast-paced, collaborative environment, managing multiple priorities and deadlines with finesse.
• Excellent interpersonal, verbal, and written communication skills to build trust and strong working relationships, effectively create and proofread documents and reports, and communicate to a diverse workforce.
• Keen attention to detail to identify problems and processes that don’t comply with protocol.
• Critical/logical thinking to identify problems and provide solutions to ensure efficiency, safety, and quality.
• Excellent business insight and judgment, team orientation and collaborative style.
• Keen time management and organizational skills to plan, develop, coordinate resources, prioritize effectively, and maintain competing demands simultaneously with frequent interruptions and in a fast-paced environment.
• Ability to ethically handle sensitive and confidential information with impartiality and professionalism.

Nice To Haves

• Past work experience in the automotive ADAS or Autonomous Vehicle domain.
• Past work experience with AWS Lamba and SageMaker services.
• The ability to write complex SQL queries and work effectively in any functional programming language for numerical analysis purposes.
• Solid adherence to data driven development and design, with an experimental and analytical approach to product improvement.

Responsibilities

• Lead and actively participate in conceptualizing, designing, and deploying cutting-edge machine learning and data science models, algorithms, and predictive analytics to address intricate challenges in autonomous vehicle technology.
• Collaborate closely with multidisciplinary teams to identify opportunities for data-driven solutions, utilizing your data science expertise to optimize our self-driving truck systems and refine operational processes.
• Analyze extensive datasets to unveil significant trends, patterns, and insights, leveraging sophisticated statistical techniques and data manipulation.
• Partner across engineering departments including Data Engineering and ML Ops teams to develop and manage robust data pipelines that ensure data integrity, reliability, and consistency throughout the data lifecycle, supporting the advancement of our self-driving truck capabilities.
• Provide mentorship and guidance to junior data scientists and data analysts, fostering skill development and knowledge sharing that uplifts the entire team.
• Present complex findings and insights in a clear, compelling manner to technical and non-technical stakeholders, influencing strategic decisions and driving the progress of autonomous vehicle technology.
• Remain at the forefront of industry trends, emerging technologies, and best practices in data science and machine learning, proactively applying your knowledge to elevate existing methodologies.

Benefits

• Our compensation reflects the cost of labor across several geographic markets.
• Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.
• Torc's total compensation package will also include our corporate bonus and stock option plan.
• Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree