Senior Applied Scientist
$116,500–$210,100 year
On-siteNew York, United States
New York, United StatesOn-siteFull Time$116,500–$210,100 yearSenior LevelDoctorate Or Professional DegreeLarge
Full TimeSenior LevelDoctorate Or Professional DegreeLarge
Job Summary
Lead end-to-end development of machine learning and data products from problem framing through deployment and monitoring. Build scalable data, training, and inference pipelines using distributed processing and cloud technologies while applying statistical methods and validation frameworks to ensure solution quality. Write production-quality code, contribute to engineering best practices including testing and CI/CD, and collaborate across engineering, product, and business teams to solve complex problems at scale.
Required Qualifications
- Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience
- Acceptable areas of study include Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.)
- 4-7 years experience building and deploying machine learning and deep learning solutions at scale
- familiarity with MLOps and DevOps practices and tools
- 4-7 years Experience working within big data architecture, modern analytical data platforms, and large-scale data warehousing technologies (e.g. BigQuery, Snowflake, Redshift)
- 4-7 years Experience working with large-scale distributed data systems and cloud platforms (e.g. SQL, Python, Scala, AWS)
- 4-7 years Experience solving complex data, machine learning, or algorithmic challenges in production environment using modern engineering practices
- Strong background in AI/ML, data structures, statistical modeling, optimization algorithms, big data, and design thinking
- 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
- Hands-on implementation and architectural familiarity with streaming data, relational and non-relational databases, and distributed processing technologies
- Experience operating production machine learning and data systems in cloud and containerized environments
- At least 18 years of age
- Legally authorized to work in the United States
Desired Qualifications
- Experience in AdTech and GIS or geospatial data processing
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