Spectrum
Applied Data Scientist, Climate & Electrification
Spectrum, Trumbull, Connecticut, us, 06611
Applied Data Scientist, Climate & Electrification
University Job TitleData Scientist 1Bargaining UnitNone - Not included in the union (Yale Union Group)Time TypeFull timeDuration TypeFixedIf Fixed Duration, Period1 year from date of hireIf Fixed Duration, is continuation possible?YesCompensation GradeAdministration & OperationsWork LocationCentral CampusWork ModelRemotePosition Focus:The Tobin Center for Economic Policy at Yale is committed to producing rigorous, policy-relevant economics research and bringing the work into the public sphere to inform domestic policy and make a difference in peoples’ lives. The Tobin Center seeks an Applied Data Scientist to support its climate and electrification programs portfolio with a particular focus on state electric vehicle networks. This is an exciting opportunity for a skilled data scientist who is motivated by the opportunity to produce rigorous, empirical evidence to improve public policy. The ideal candidate is an expert data scientist who is fluent in STATA and other programming languages such as R, SAS, and SQL, has experience with large and complex datasets, and believes in Tobin’s mission.Responsibilities:Building the necessary systems and human research capacities to support and advance work in climate and electrification policy.Supporting specific research projects across Tobin’s portfolio with a specific focus on State electrification and EV network buildouts.Exploring, processing, and analyzing data to solve specific research questions.Cleaning, merging, and implementing linkages of data across multiple sources and projects.Building traditional statistical models and machine learning algorithms for a variety of research projects.Using data science, econometric, and machine learning methods to extract meaning from data.Creating tables, figures, charts and other visual displays of research results for papers/reports, website, memos, and presentations targeting academic researchers and policy-makers.Writing, reviewing, and sharing code and documenting best practices.Collaborating to develop analysis plans, executing on those plans, and making substantive contributions to publications.Essential DutiesDevelop and execute new and/or highly complex algorithms and statistical predictive models and determine analytical approaches and modeling techniques to evaluate potential future outcomes. Establish analytical rigor and statistical methods to analyze large amount of data, using advanced statistical techniques and mathematical analyses. Manage analytical projects from data exploration, model building, performance evaluation, through implementation. Develop work plans and monitor progress and project timelines. Document coding and changes to work plans using established work group methods in GitHub. Interact with a multidisciplinary team of internal and external peers to regularly, effectively, and openly communicate progress and outcomes of planned work. Attend weekly team meetings to discuss team and project-related activities, issues, change, communications, and updates.Required Education and ExperienceMaster’s Degree in computer science, applied/computational mathematics, engineering, biostatistics, statistics, or a quantitative field such as astronomy or geology, economics, health policy, health services research, public policy, or a related field and two years of experience or an equivalent combination of education and experience.Required Skills:Mastery of at least one analytic framework (STATA, R, Python, Julia).Ability to deal well with ambiguity and act with autonomy.Excellent problem solving and communication skills.Strong attention to detail.Preferred Education, Experience and Skills:Policy research experience. Experience working with data. Knowledge or experience with software engineering processes (such as agile software development) a plus.Background Check RequirementsAll candidates for employment will be subject to pre-employment background screening for this position, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and job requirements.COVID-19 Vaccine RequirementThe University maintains policies pertaining to COVID-19. All faculty, staff, students, and trainees are required to comply with these policies.EEO Statement:University policy is committed to affirmative action under law in employment of women, minority group members, individuals with disabilities, and protected veterans.
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University Job TitleData Scientist 1Bargaining UnitNone - Not included in the union (Yale Union Group)Time TypeFull timeDuration TypeFixedIf Fixed Duration, Period1 year from date of hireIf Fixed Duration, is continuation possible?YesCompensation GradeAdministration & OperationsWork LocationCentral CampusWork ModelRemotePosition Focus:The Tobin Center for Economic Policy at Yale is committed to producing rigorous, policy-relevant economics research and bringing the work into the public sphere to inform domestic policy and make a difference in peoples’ lives. The Tobin Center seeks an Applied Data Scientist to support its climate and electrification programs portfolio with a particular focus on state electric vehicle networks. This is an exciting opportunity for a skilled data scientist who is motivated by the opportunity to produce rigorous, empirical evidence to improve public policy. The ideal candidate is an expert data scientist who is fluent in STATA and other programming languages such as R, SAS, and SQL, has experience with large and complex datasets, and believes in Tobin’s mission.Responsibilities:Building the necessary systems and human research capacities to support and advance work in climate and electrification policy.Supporting specific research projects across Tobin’s portfolio with a specific focus on State electrification and EV network buildouts.Exploring, processing, and analyzing data to solve specific research questions.Cleaning, merging, and implementing linkages of data across multiple sources and projects.Building traditional statistical models and machine learning algorithms for a variety of research projects.Using data science, econometric, and machine learning methods to extract meaning from data.Creating tables, figures, charts and other visual displays of research results for papers/reports, website, memos, and presentations targeting academic researchers and policy-makers.Writing, reviewing, and sharing code and documenting best practices.Collaborating to develop analysis plans, executing on those plans, and making substantive contributions to publications.Essential DutiesDevelop and execute new and/or highly complex algorithms and statistical predictive models and determine analytical approaches and modeling techniques to evaluate potential future outcomes. Establish analytical rigor and statistical methods to analyze large amount of data, using advanced statistical techniques and mathematical analyses. Manage analytical projects from data exploration, model building, performance evaluation, through implementation. Develop work plans and monitor progress and project timelines. Document coding and changes to work plans using established work group methods in GitHub. Interact with a multidisciplinary team of internal and external peers to regularly, effectively, and openly communicate progress and outcomes of planned work. Attend weekly team meetings to discuss team and project-related activities, issues, change, communications, and updates.Required Education and ExperienceMaster’s Degree in computer science, applied/computational mathematics, engineering, biostatistics, statistics, or a quantitative field such as astronomy or geology, economics, health policy, health services research, public policy, or a related field and two years of experience or an equivalent combination of education and experience.Required Skills:Mastery of at least one analytic framework (STATA, R, Python, Julia).Ability to deal well with ambiguity and act with autonomy.Excellent problem solving and communication skills.Strong attention to detail.Preferred Education, Experience and Skills:Policy research experience. Experience working with data. Knowledge or experience with software engineering processes (such as agile software development) a plus.Background Check RequirementsAll candidates for employment will be subject to pre-employment background screening for this position, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and job requirements.COVID-19 Vaccine RequirementThe University maintains policies pertaining to COVID-19. All faculty, staff, students, and trainees are required to comply with these policies.EEO Statement:University policy is committed to affirmative action under law in employment of women, minority group members, individuals with disabilities, and protected veterans.
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