Senior Data Science Engineer

Job Responsibilities

• Lead the end-to-end development of machine learning and data products aligned to business objectives, from problem framing through deployment and monitoring.
• Build scalable data, training, and inference pipelines using distributed processing and cloud technologies.
• Apply statistical methods, experimentation, and validation frameworks to ensure solution quality and business impact.
• Write production-quality code and contribute to engineering best practices, including testing, CI/CD, and observability.
• Collaborate across engineering, product, and business teams while leading other engineers and data scientists.

Education and Work Experience

• Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)
• Acceptable areas of study include Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.) (Required)
• 4-7 years experience building and deploying machine learning and deep learning solutions at scale; familiarity with MLOps and DevOps practices and tools. (Required)
• 4-7 years Experience working within big data architecture, modern analytical data platforms, and large-scale data warehousing technologies (e.g. BigQuery, Snowflake, Redshift) (Required)
• 4-7 years Experience working with large-scale distributed data systems and cloud platforms (e.g. SQL, Python, Scala, AWS) (Required)
• 4-7 years Experience solving complex data, machine learning, or algorithmic challenges in production environment using modern engineering practices. (Required)

Knowledge, Skills and Abilities

• Strong background in AI/ML, data structures, statistical modeling, optimization algorithms, big data, and design thinking. (Required)
• Advanced knowledge of cloud-based services (GCP, AWS) - and Python, PySpark and related Python libraries (e.g. pandas, scikit-learn, scipy, numpy) for advanced data science tasks. (Required)
• Hands-on implementation and architectural familiarity with streaming data, relational and non-relational databases, and distributed processing technologies. (Required)
• Experience operating production machine learning and data systems in cloud and containerized environments. (Required)
• Experience in AdTech and GIS or geospatial data processing is a plus. (Preferred)

Pay Range

The pay range above is the general base pay range for a successful candidate in the role. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.