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Senior Data Scientist
This is a remote position.
Ad Hoc is a digital services company that helps the federal government better serve people. Our teams use modern, agile methods to meet the needs of our users while closing the gap between consumer expectations and government.
Work on things that matter
Our teams connect Veterans with services designed for their needs, help millions of people access affordable health care, and support important programs like Head Start. As we work with agencies to deliver critical services, we're also changing how the government thinks about and uses technology.
Built for a remote life
Ad Hoc is remote-first and remote-always. We've designed our culture, communications, and tools to support a nationwide team. Being remote allows Ad Hoc to bring the best people onto our teams and give them the freedom to create a work environment that fits their lives. Maybe you need to adjust your schedule to care for your family or take a bike ride. At Ad Hoc, that's welcomed.
Committed to high expectations and a welcoming culture
Ad Hoc values acceptance, accountability, and humility. We aren't heroes. We leave our egos at the door to learn from our mistakes and improve the process for the next time.. We build small, inclusive teams to bring the best of consumer technology to the problems of government.
The Federal Civilian business unit supports a wide range of customers that span the federal, commercial, and nonprofit space. Our customers include the General Services Administration, Office of Personnel Management, PAN Foundation, Library of Congress, Social Security Administration, Health and Human Services, and the USDA Forest Service. We partner with these agencies to build new capabilities, deliver products, establish data as a strategic asset for informed decision-making, modernize legacy systems, and build the digital service infrastructure necessary to scale their mission impact.
Primary Responsibilities:
In this role, you will serve as an experienced individual contributor within a team, with the expectation that you will further develop your leadership, guidance and mentoring skills. With minimal oversight from leadership, you will be responsible for supporting the goal of meeting scope, schedule and delivery requirements. A Senior Data Scientist impacts the long-term goals of the program, while contributing to the development of the program's data science strategy. You may serve as the discipline's primary lead when working with stakeholders and utilize strong influential skills to drive improvements in data science processes and practices. Primary expectations of a Senior Data Scientist include:
A strong influence on business or customer experience improvements based on research
Serves as a mentor to junior Analysts, Engineers, and Scientists on the program
May lead small, less critical, or temporary team structures and projects
Presents statistical and mathematical concepts to non-experts
Fully understands and ensures implementation of best practices across program(s)
Builds and improves predictive models using data from multiple sources
Automates feedback loops for algorithms/models, creates repeatable processes, and scalable data products
Reviews, scales, and enhances operationalized statistical models and algorithms
Able to apply recommendation systems, ML, NLP, statistics, and deep learning within the program
Participates in technical interviews with new candidates, evaluates homework assignments
Basic Qualifications:
Bachelor's degree and 12 years of experience
Relevant years of experience may be substituted for education
6 years of experience in an analytics role
Expertise with data engineering tools, analytics, and statistics; completion of several predictive analytical projects and/or ML models
Preferred Qualifications:
To learn more about working at Ad Hoc, please visit: https://adhocteam.us/join/
Benefits:
Ad Hoc LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, sexual orientation, gender identity or expression, religion, age, pregnancy, disability, work-related injury, covered veteran status, political ideology, marital status, or any other factor that the law protects from employment discrimination.
In support of theColorado Equal Pay Transparency Act, and others like it across the country, Ad Hoc job descriptions feature the starting range we reasonably expect to pay to candidates who would join our team with little to no need for training on the responsibilities we've outlined above. Actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, and responsibility. The range of starting pay for this role is $124,833 - $144,991 Our recruiters will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements.
job reference: SENIO001340
Full Time
$121k-149k (estimate)
05/24/2024
06/10/2024
adhoc.team
LAKEVILLE, MN
100 - 200
2014
Private
KENNETH BECKER
$50M - $200M
The job skills required for Senior Data Scientist include Data Science, Algorithms, Leadership, Deep Learning, Decision Making, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior Data Scientist. Select any job title you are interested in and start to search job requirements.
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Senior Data Scientists rae responsible in formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests.
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Collating and cleaning data from various entities for later use by junior data scientists.
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Delegating tasks to Junior Data Scientists in order to realize the successful completion of projects.
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They also monitor the performance of Junior Data Scientists and providing them with practical guidance, as needed.
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Present final result to stakeholders. Make adjustments based on feedback.
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Review additional data scientist certifications and post-graduate learning.
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Choose one or more potential models and algorithms.
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