Major Duties<ul><li>Serves as a Senior Data Scientist leading teams for the most complex projects. May also serve as a team participant or an independent analyst on professional data science teams.</li><li>Applies the rigors of the data science discipline to data analysis in Cyber, Information Technology and economic analyses of complex and potentially controversial major information technology systems and networks.</li><li>Responsible for advanced level data science analytics characterized as highly unstructured and complex, having little definition or clarity, and especially complex analytic projects assigned to the organization.</li><li>Provides business metrics and support for the most complex projects to identify improvements (contribution to the improvement should be monitored initially and over multiple iterations).</li><li>Coordinates with the data steward to ensure that the information used follows the regulatory and security policies in place.</li><li>Qualify where information can be stored or what information, external to the organization, may be used in support of the use case.</li><li>Lead analytical projects, providing direction and guidance to project members of a professional nature in the execution and implementation of projects.</li></ul>Qualifications/ Specialized ExperienceWho May Apply: Only applicants who meet one of the employment authority categories below are eligible to apply for this job. You will be asked to identify which category or categories you meet, and to provide documents which prove you meet the category or categories you selected. See Proof of Eligibility for an extensive list of document requirements for all employment authorities. Current Army Cyber Excepted Service (CES) Employee Current Army Defense Civilian Intelligence Personnel System (DCIPS) Employee Current Civilian Employees of the Organization Applying to Cyber Excepted Service (CES) Positions Current Department of Army Civilian Employees Current DoD Cyber Excepted Service (CES) Employee (non-Army) Current DoD Defense Civilian Intelligence Personnel System (DCIPS) Employee (non-Army) Current Permanent DoD Civilian Employee (non-Army) Applying to Cyber Excepted Service Positions Non-Department of Defense (DoD) Transfer Applying to Cyber Excepted Service Positions Army CES positions apply Veteran's Preference to preference eligible candidates, as defined by Section 2108 of Title 5 U.S.C., in accordance with the procedures provided in DoD Instruction 1400.25, Volume 3005, "CES Employment and Placement". If you are a veteran claiming veterans' preference, as defined by Section 2108 of Title 5 U.S.C., you must submit documents verifying your eligibility with your application package. In order to qualify, you must meet the education and experience requirements described below. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student; social). You will receive credit for all qualifying experience, including volunteer experience. Your resume must clearly describe your relevant experience; if qualifying based on education, your transcripts will be required as part of your application. Additional information about transcripts is in this document. Basic Requirement for Data Scientist: A. Degree: Bachelor's degree (or higher degree) in in mathematics, statistics, computer science, data science or field directly related to the position. OR B. Combination of Education and Experience: Courses equivalent to a major field of study (30 semester hours) as shown in A above, plus appropriate experience or additional education. In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below: GG-11 Qualifying Experience: To qualify based on your experience, your resume must describe one year of specialized experience that demonstrates the possession of knowledge, skills, abilities, and competencies necessary for immediate success in the position. Such experience is typically in or directly related to the work of the position to be filled. Specialized experience would be demonstrated by (1) assisting with analyzing data in cyber, information technology, or other areas to ensure plans meet programming requirements; (2) analyzing economic information to ensure plans meet budgetary requirements; (3) working on a team providing business metrics and support for complex projects to identify needed improvements; (4) using information systems hardware and software applications, and systems integration as applied to big data analytics and operational research. GG-12 Qualifying Experience: To qualify based on your experience, your resume must describe one year of specialized experience that demonstrates the possession of knowledge, skills, abilities, and competencies necessary for immediate success in the position. Such experience is typically in or directly related to the work of the position to be filled. Specialized experience would be demonstrated by (1) analyzing data in cyber, information technology and/or economic information to ensure plans meet programming or budgetary requirements; (2) providing business metrics and support for complex projects to identify needed improvements; (3) using information systems hardware and software applications, and systems integration as applied to big data analytics and operational research. GG-13 Qualifying Experience: To qualify based on your experience, your resume must describe two years of specialized experience that demonstrates the possession of knowledge, skills, abilities, and competencies necessary for immediate success in the position. Such experience is typically in or directly related to the work of the position to be filled. Specialized experience would be demonstrated by (1) leading teams in analyzing data in cyber, information technology to ensure plans meet programming; (2) analyzing economic information to ensure plans meet budgetary requirements; (3) providing business metrics and support for complex projects to identify needed improvements; (4) using information systems hardware and software applications, and systems integration as applied to big data analytics and operational research; (5) ensuring information used is in compliance with regulations and security policies.

About BlueConduit: BlueConduit was founded in 2019 in response to the Flint water crisis. First in Flint, and then across the country, we pioneered the predictive modeling approach to lead service line identification and replacement, accelerating the removal of this significant health concern and saving communities millions of dollars in avoided digs. We are passionate about using data science and AI for public good, improving social equity, and protecting the environment, and are now working in new ways to help serve communities' needs outside lead service line replacement. We are a remote-first company with opportunities to co-work in offices in Brooklyn, NY and Ann Arbor, MI. About the Role: BlueConduit is hiring a Mid-Level Data Scientist to play a key role in developing and implementing advanced predictive models and decision optimization algorithms that solve our municipal customers' critical infrastructure issues. Leveraging your expertise in data analysis, statistical modeling, and machine learning, you will collaborate with our team to (1) deliver customers actionable insights, and (2) build the engine that will drive our software products. This role will report to the VP of Data Science. Key Responsibilities: <ul><li>Collaborate closely with BlueConduit's Data Scientists and coordinate well with our Software Engineers to continuously improve the software that automates workflows and the "human in the loop" processes to deliver to customers</li><li>Implement our predictive models and decision optimization algorithms using our proprietary data science and machine learning processes </li><li>Work to improve model performance and interpretability for each customer.</li><li>Collaborate with BlueConduit's Customer Success team (Solution Architects and Project Managers) to deliver model results into customer's ESRI ArcGIS system, which includes configuring internal tools/code and presenting explainable model insights with data visualization</li><li>Understand customers' needs and requirements, and be able to effectively communicate our processes, requirements and recommendations to non-technical audiences (internal and external).</li><li>Stay current with the latest advancements in data science, machine learning, and predictive modeling techniques.</li><li>Actively engage in R&D to identify how to continue to scale the impact of BlueConduit's data science work </li></ul> Qualifications: <ul><li>Curiosity to learn and desire to value the human side of data science</li><li>Passion for data science for social good and environmental justice</li><li>Experience building and improving machine learning models and data pipelines </li><li>Experience writing reproducible data science code than has been the basis for production code in software products</li><li>Experience with building human-in-the-loop data science processes that blend automate-able and difficult-to-automate tasks</li><li>Customer-centric and service-driven around timeliness, attention to detail and quality</li><li>Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field.</li><li>5+ years of experience (post graduation) in data analysis, statistical modeling, and machine learning.</li><li>Proficiency and substantial experience in Python, especially Pandas, Scikit-learn, PySpark, and Numpy.</li><li>Proficiency in Git workflow</li><li>Solid understanding of machine learning and statistical models and techniques, including validation and evaluation of model performance.</li><li>Experience with issues related to modeling (e.g., selection biases, causal inference) </li><li>Experience working with messy data, iterating with clients on a shared dataset</li><li>Experience with geospatial data models and visualization tools such as ESRI.</li><li>Strong problem-solving skills and ability to work independently or collaboratively in a team environment.</li><li>Excellent data visualization and communication skills with the ability to explain complex technical concepts to non-technical customers.</li><li>Previous experience working in either a predictive modeling-/analytics-focused company or a software-as-a-service start-up company.</li></ul> Preferred Qualifications: <ul><li>Experience with data models and pipelines in Databricks or other cloud providers.</li><li>Experience with building production-level ML pipelines from scratch using PySpark, or other Spark or similar frameworks.</li><li>Experience training, evaluating, implementing, and communicating results of bespoke models in a client-facing context.</li><li>Previous experience working directly with customers.</li><li>Previous data science or analytics role at a software-as-a-service company </li></ul> Nice-to-have Qualifications: <ul><li>Experience using cloud computing systems to scale data science capabilities. </li><li>Experience with Agile product development (e.g., sprints, standups, scrums)</li><li>Familiarity with infrastructure, water quality, or government data</li></ul> Location: Remote Compensation: <ul><li>Salary range ($125-145K), depending on level of experience</li><li>Stock options</li><li>Health benefits</li><li>Simple IRA benefit</li><li>Co-working space/work place stipend</li></ul>

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Data Scientist Jobs in Ann Arbor, MI

Senior Data Scientist Perception
November 16, 2024

Senior Data Scientist
November 11, 2024

Data Scientist
October 30, 2024

Data Scientist
October 26, 2024

Data Scientist
October 25, 2024

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Data Scientist Jobs in Ann Arbor, MI

Senior Data Scientist PerceptionNovember 16, 2024

Senior Data ScientistNovember 11, 2024

Data ScientistOctober 30, 2024

Data ScientistOctober 26, 2024

Data ScientistOctober 25, 2024