Staff, Data Scientist – Data Operations & Enrichment

Torc is seeking an experienced Staff Data Scientist to join their Data Operations & Enrichment team. The team is responsible for identifying and coordinating long-term data needs for the company and ensuring efficient use of quality datasets across the organization. The ideal candidate will lead and participate in conceptualizing, designing, and deploying machine learning and data science models, and collaborate with multidisciplinary teams to identify opportunities for data-driven solutions.

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.
• 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.

Benefits

• Full range of medical, financial, and/or other benefits
• Corporate bonus and stock option plan
• Sign-on payments, relocation, and other forms of compensation

Tagged as: Data Analysis, Python