Sr. Data Scientist
Job Description Overview BigBear.ai is seeking a Sr. Data Scientist to help develop the shaping of requirements for the machine learning and predictive analytics solutions, guide and significantly contribute to solving the hard problems of implementing those solutions, support customer and capture engagements to demonstrate our differentiation, and mentor data scientists across the company. The Sr. Data Scientist will have broad exposure to multiple programs and projects across BigBear.ai coupled with the ability to directly influence design and implementation. They will discern and champion the best practices for machine learning, including predictive/prescriptive analytics. This is an ideal opportunity to be part of one of the fastest growing AI/ML companies in the industry. At BigBear.ai, we're in this business together. We own it, we make it thrive, and we enjoy the challenges of our work. We know that our employees play the largest role in our continual success. That is why we foster an environment of growth and development, with an emphasis on opportunity, recognition, and work-life balance. We give the same high level of commitment to our employees that we give to our clients. If BigBear.ai sounds like the place where you want to be, we'd enjoy speaking with you. This position can be located in San Diego, CA; McLean, VA; or possibly remote. What you will do Perform senior design and development tasks for machine learning, predictive, and prescriptive analytics on projects, including:
Support solution development, prototyping, and writing of technical proposals Act as a trusted customer liaison and product manager, engaging with mission owners/operators to discover applications for ML, set project expectations, define requirements, and review results Provide ongoing advice to projects around technical solutions, best practices, and efficiencies Maintain awareness of the latest data science methods and technologies and proactively support the adoption of truly beneficial new capabilities Work with product development teams to ensure customer functional requirements are fully considered, best practices and differentiated learnings are shared, and a single Bigbear.ai identity is supported. What you need to have Minimum of 8 years of proven successful design, development, and deployment of multiple complex or large-scale operational predictive capabilities, where individual coding contributions were foundational and broadly applicable to success Experience providing senior-level technical subject matter expertise and support for Data Science efforts in support of large, complex projects or programs Demonstrated expertise with the following:
ML Libraries such as Scikit-learn, Pandas, Numpy, PySpark, MXNet, MLib, Weka, Spacy, and FastText ML Platforms such as KNIME, Spark, SageMaker, H2O, and TensorFlow Java, Python, and SQL including related ecosystems and frameworks, like Eclipse and Jupyter Notebook Distributed platforms (i.e. HBase, PrestoDB, Athena, Spark, Kafka) and the cloud (i.e. AWS, GCP, Azure) Able to match customer requirements to appropriate technologies and approaches, describe the pros and cons of each option, and provide optimal recommendations What we'd like you to have Familiarity with time series forecasting and survival modeling Machine Learning specialist certification from AWS, Google Cloud, or Microsoft Azure Experience with distributed databases (like CockroachDB, Impala, Drill, GreenPlum, or Spark SQL), graph databases (especially Neo4j and Neptune), noSQL query engines (especially ElasticSearch, MongoDB, and DynamoDB), streaming/timeseries databases (like InfluxDB), and schema-at-query engines (especially PrestoDB) Experience deploying data and processing in commercial clouds, especially AWS, Google Cloud, and Microsoft Azure Ability to obtain and maintain a TS/SCI clearance About BigBear.ai A leader in decision dominance for more than 20 years, BigBear.ai operationalizes artificial intelligence and machine learning at scale through its end-to-end data analytics platform. The Company uses its proprietary AI/ML technology to support its customers' decision-making processes and deliver practical solutions that work in complex, realistic and imperfect data environments. BigBear.ai's composable AI-powered platform solutions work together as often as they stand alone:
Observe (data ingestion and conflation), Orient (composable machine learning at scale), and Dominate (visual anticipatory intelligence and optimization). BigBear.ai's customers, which include the U.S. Intelligence Community, Department of Defense, the U.S. Federal Government, as well as customers in the commercial sector, rely on BigBear.ai's high value software products and technology to analyze information, identify and manage risk, and support mission critical decision making. Headquartered in Columbia, Maryland, BigBear.ai has additional locations in Virginia, Massachusetts, Michigan, and California.
Salary Range:
$100K -- $150K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
Support solution development, prototyping, and writing of technical proposals Act as a trusted customer liaison and product manager, engaging with mission owners/operators to discover applications for ML, set project expectations, define requirements, and review results Provide ongoing advice to projects around technical solutions, best practices, and efficiencies Maintain awareness of the latest data science methods and technologies and proactively support the adoption of truly beneficial new capabilities Work with product development teams to ensure customer functional requirements are fully considered, best practices and differentiated learnings are shared, and a single Bigbear.ai identity is supported. What you need to have Minimum of 8 years of proven successful design, development, and deployment of multiple complex or large-scale operational predictive capabilities, where individual coding contributions were foundational and broadly applicable to success Experience providing senior-level technical subject matter expertise and support for Data Science efforts in support of large, complex projects or programs Demonstrated expertise with the following:
ML Libraries such as Scikit-learn, Pandas, Numpy, PySpark, MXNet, MLib, Weka, Spacy, and FastText ML Platforms such as KNIME, Spark, SageMaker, H2O, and TensorFlow Java, Python, and SQL including related ecosystems and frameworks, like Eclipse and Jupyter Notebook Distributed platforms (i.e. HBase, PrestoDB, Athena, Spark, Kafka) and the cloud (i.e. AWS, GCP, Azure) Able to match customer requirements to appropriate technologies and approaches, describe the pros and cons of each option, and provide optimal recommendations What we'd like you to have Familiarity with time series forecasting and survival modeling Machine Learning specialist certification from AWS, Google Cloud, or Microsoft Azure Experience with distributed databases (like CockroachDB, Impala, Drill, GreenPlum, or Spark SQL), graph databases (especially Neo4j and Neptune), noSQL query engines (especially ElasticSearch, MongoDB, and DynamoDB), streaming/timeseries databases (like InfluxDB), and schema-at-query engines (especially PrestoDB) Experience deploying data and processing in commercial clouds, especially AWS, Google Cloud, and Microsoft Azure Ability to obtain and maintain a TS/SCI clearance About BigBear.ai A leader in decision dominance for more than 20 years, BigBear.ai operationalizes artificial intelligence and machine learning at scale through its end-to-end data analytics platform. The Company uses its proprietary AI/ML technology to support its customers' decision-making processes and deliver practical solutions that work in complex, realistic and imperfect data environments. BigBear.ai's composable AI-powered platform solutions work together as often as they stand alone:
Observe (data ingestion and conflation), Orient (composable machine learning at scale), and Dominate (visual anticipatory intelligence and optimization). BigBear.ai's customers, which include the U.S. Intelligence Community, Department of Defense, the U.S. Federal Government, as well as customers in the commercial sector, rely on BigBear.ai's high value software products and technology to analyze information, identify and manage risk, and support mission critical decision making. Headquartered in Columbia, Maryland, BigBear.ai has additional locations in Virginia, Massachusetts, Michigan, and California.
Salary Range:
$100K -- $150K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
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