Director Data Science Advocacy Nonprofit

Civis Analytics is seeking a Director to play a pivotal role in powering Civis’ growth within the Advocacy & Nonprofit sector. You will lead end-to-end delivery of client solutions, including initial business development, problem scoping, and delivery. You will help grow Civis's business by delivering excellent work and identifying new strategic growth opportunities for the company.
The Applied Data Science (ADS) team is the consultancy arm of Civis Analytics, working closely with global nonprofits and companies, as well as Federal agencies and state & local governments, to help solve their toughest challenges with data science. The Director will manage, supervise, and mentor a team of Applied Data Scientists to deliver analytic solutions to help inform our clients’ biggest decisions.
The Director will work closely and cross-functionally with teams across the company, including engineering, product, legal, finance, and sales, to advise, oversee, and communicate work internally and externally.
Responsibilities

Manage and lead a team of applied data scientists, as well as cross-functional client delivery teams, that provides analytics and survey research consulting to achieve our clients’ business goals through the usage of Civis’ services and technology
Partner with technical, product, and sales teams to establish a strategy that accomplishes a client's strategic goals
Own engagements end-to-end and design the scope and analytics roadmap for clients. Manage a team through the process of solving some of our clients’ hardest problems; defining the client’s problem, designing a solution, and delivering high-quality work
Grow Civis' business by delivering excellent work, identifying new strategic growth opportunities for the company, and developing expertise and credibility in nonprofit data science
Develop and manage relationships with clients and decision makers and be responsible for all client-facing communication and work product
Lead the research design of their projects, including statistical and data management methods, soliciting input from subject matter experts when needed
Ensure that all deliverables provide substantive value to clients, adhere to our standards, and further our mission

Minimum Qualifications

Bachelor’s degree in an analytical subject (e.g., statistics, math, social science) or business (e.g., marketing, economics)
Minimum of 7 years of applicable work experience in a significant management role, management of line of business, or management of a research group
A strong foundation in statistics and data analytics expertise in survey research and statistical modeling. This will be demonstrated by having 5+ years of experience working with large data sets to solve real-world business challenges
Firm understanding of statistical software and programming applications (e.g., SAS, Stata, R, Python) and visualization technologies/libraries (e.g., Tableau, D3, Google)
Experience managing teams to complete projects within scope and on time
Experience overseeing multiple projects with competing resource demands and timelines
A track record of helping teams win new contracts
Excellent interpersonal and communication skills
Demonstrated history of delivering high-quality analytic work to advocacy groups and nonprofit organizations

Preferred Qualifications

Advanced degree in an analytical subject or business
Experience writing proposals, building cost and pricing estimates of proposed work, and selling the work to new or existing clients
Experience working for a consulting, services, or advisory firm
Familiarity with machine learning and causal inference a plus

All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review. Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles.
Who we are
Civis offers opportunities for newcomers, seasoned professionals, and anyone in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily, and we trust and encourage you to act on your ideas—no matter how big they are.
We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo, and finding new ways to help our company—and each other—grow.
Why join our team?

The opportunity to be part of a growing tech startup focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal, and inclusive workplace.
Competitive benefits, including unlimited PTO; 401K match with immediate vesting; health, dental, and vision benefits; fully paid parental leave; breastfeeding support, including breastmilk shipping services for traveling moms; commuter benefits; wellness initiatives, including weekly group meditations; monthly on-site massage therapy; and pet insurance.

To support employees in our now-fully remote work environment, we have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (five-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-ups where we discuss ideas and topics of the day in a casual format). We are also able to support and accommodate flexible work from-home-schedules to help employees juggle their domestic responsibilities.

Civis embraces the individuality of our employees, and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our Civis community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or veteran status. If you have a disability or special need that requires accommodation, please contact us internalrecruiting@civisanalytics.com.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
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Data Scientist

LiveRamp is the leading data connectivity platform. We believe connected data has the power to change the world. Our platform powers insights and experiences centered around the needs of real people, and in ways that keep the Internet open for all. LiveRampers thrive on building together with curiosity and humility—and have a good bit of fun along the way. We’re always looking for smart, kind, and creative people to grow our team and impact.
 Mission: LiveRamp makes it safe and easy for businesses to use data effectively.
LiveRamp is currently ramping up its Safe Haven business in the U.S. and is in need of a skilled Data Scientist who can tell our customers a story with their data. You’ll work directly with our largest and most complex clients’ datasets and data teams to help them derive value from the newly unlocked potential that Safe Haven provides them.
You will:

Act as a subject matter expert (SME) on how to efficiently leverage the Analytics Environment within LiveRamp’s Data Collaboration platform in order to help clients enable their use cases
Work efficiently with client data and analytics partners to define, configure, extract, aggregate, analyze, package, synthesize, and share data, results, and actionable insights to support client campaigns, products, or business decisions
Build up a strong understanding and expert knowledge of the various data sources and methodologies brought together for LiveRamp data sharing solutions – retail transaction data, 1st-party CRM data, ad exposure and response data, and 3rd-party data provider attributes (demographics, psychographics, lifestyle segments)
Collaborate with client on how to creatively leverage this rich data asset for their respective insight, segmentation, measurement, and activation needs
Identify data gaps and advocate for additional data sources to meet unmet marketplace need(s)
Build and foster positive reputation with client-facing delivery teams and Product & Engineering teams to successfully collaborate on designing, building, and launching analytical solutions
Outline pragmatic solutions to answering insight needs with an eye toward balancing quantitative rigor, data incompleteness, and timelines conducive to rudimentary vs. sophisticated methods
Prepare compelling analytical presentations and effectively communicate complex concepts to marketing and business audiences
Work with the internal engineering teams to provide input to the data science product roadmap
Provide mentorship and guidance to other data analysts/scientists where necessary

Your team will:
Help customers make sense of datasets from across the ecosystem and find meaningful value in sharing data with Safe Haven.
About you:

Bachelor’s degree in Math, Statistics, Economics, Computer Science, Predictive Analytics or other quantitative discipline (Master’s Preferred)
4+ years of work experience in a data science role ideally in a professional services environment: digital advertising, database marketing, or interactive/ technology consulting
4+ years of hands-on experience in data extraction and manipulation using tools such as SQL, Hive/ Impala/ Redshift/ BigQuery with minimal supervision
4+ years hands-on experience working with data visualization tools such as Tableau, Looker and/or others with minimal supervision
Solid understanding of current data science best practices and technology stacks
Experience generating consistently accurate, statistically sound analysis and interpreting, translating and synthesizing data into actionable insights in the form of reports, dashboards and client ready presentations
Hands on experience with propensity modeling, lookalike modeling and segmentation
Experience integrating multiple data sources (1st-party, 3rd-party, media activity) and utilizing creative analytical approaches to answer client audience insight or performance questions
2+ years of experience interfacing directly with clients and being able to present complex analytical material in an easy-to-understand manner
Experience with cloud computing services such as GCP
Attention to detail and time management - delivering high quality, client-ready work for multiple projects across several client engagements while meeting deadlines

Bonus Points:

Knowledgeable of the media planning, measurement, and optimization process and acumen (both online and offline)
2+ years of hands-on experience with scripting languages such as Python, PySpark, Spark, and/ or R for statistical modeling
Understanding of omni-channel campaign measurement methodologies
Demonstrated history of innovation with emerging ad platforms, data, measurement, or analysis techniques
Understanding of LiveRamp’s role in the market and the broader AdTech/MarTech space
Data privacy/security and related governance processes (Privacy Impact Assessment, CCPA, GDPR, etc)

 Benefits:

People: Work with talented, collaborative, and friendly people who love what they do.
Fun: We host in-person and virtual events such as game nights, happy hours, camping trips, and sports leagues.
Work/Life Harmony: Flexible paid time off, paid holidays, options for working from home, and paid parental leave.
Comprehensive Benefits Package: Medical, dental, vision, life, and disability. Plus, mental health support (via Talkspace), flexible time off, parental leave, family forming benefits, and a flexible lifestyle and wellbeing reimbursement program (up to $375 per quarter, U.S. LiveRampers)
Savings: Our 401K matching plan—1:1 match up to 6% of salary—helps you plan ahead.  Also Employee Stock Purchase Plan - 15% discount off purchase price of LiveRamp stock (U.S. LiveRampers)

RampRemote: A comprehensive office equipment and ergonomics program—we prove you with equipment and tools to be your most productive self, no matter where you're located.

Location: Work from home (remote-eligible roles)

More about us:
LiveRampers are empowered to live our values of committing to shared goals and operational excellence. Connecting LiveRampers to new ideas and to one another is one of our guiding principles—one that informs how we hire, train, and grow our global teams across nine countries and four continents. By continually building inclusive, high belonging teams, LiveRampers can deliver exceptional work, champion innovative ideas, and be their best selves. Click here to learn more about Diversity, Inclusion, & Belonging (DIB) at LiveRamp.
LiveRamp is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected status. Qualified applicants with arrest and conviction records will be considered for the position in accordance with the San Francisco Fair Chance Ordinance.

California residents: Please see our California Personnel Privacy Policy for more information regarding how we collect, use, and disclose the personal information you provide during the job application process.

To all recruitment agencies: LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes.
#LI-Remote


Data Scientist Styling Core Services

Job DescriptionThe vision for Data Science & Analytics at Nordstrom is to be the best data-driven fashion retailer in the world, and we win by being relevant to the customer through an application of insight and prediction to outcomes. The Strategic Analytics team supports this vision by empowering the executive team with robust data products and analytical consulting that helps steer short and long term strategic decisions. We are looking for a Data Scientist to build end-to-end Machine Learning based Analytic Data Products that will directly impact leaders across all levels of the Nordstrom business.  This person should utilize proper Data Science based techniques and have experience across full-stack. The role has an opportunity to tackle challenges from ideation to insights delivery, with visibility across the leadership organization.  This individual should have a high degree of curiosity about the business and the skills to discover impactful insights from data and communicate those insights in a way that builds confidence and enables decisions that drive business value.We are part of the Nordstrom’s centralized Data Science and Analytics team with the focus on supporting executive management with robust decision support data science. Here we build data science products and provide analytics consulting in support of strategic business decisions, including customer personalization, marketing, merchandise, supply chain, and digital experience. We work as the quantitative right-hand for the executive team with a passion for supporting data-driven decision making, a devotion to advanced techniques, along with a creative team spirit!The ideal candidate is a creative self-starter and strong technical contributor who is always looking for new opportunities to solve business problems with data-driven tools. We welcome your curiosity about the business, your passion to unlock rich, nuanced insights from complicated data and the desire to communicate those insights in a way that drives positive business outcomes.We are committed to building teams that reflect the diversity of our customers and active inclusion is core to how Nordstrom wins. We’re an equal opportunity employer and encourage individuals from all backgrounds to apply. If the idea to make a difference in this vibrant intersection of fashion, data science, and technology excites you, join our world-class data science team!Read this first: We encourage you to apply even if you do not meet all of the qualifications, but feel you would be a good fit for the position. Nordstrom is an equal opportunity employer.  We are building a diverse, inclusive workforce and hope you will join us!A day in the life...
Collaborate with our partner teams to create data science products and solutions for stakeholders, translating questions to robust answers efficiently.
Apply advanced statistical methods, data modeling, and predictive analysis to answer strategic questions.
Extract and prepare large sets of data for analysis.
Perform large-scale statistical analysis and develop and apply segmentation, predictive models, and forecasting models to key business problems.
Research, design, and implement production-level, scalable code and algorithms.
Work within and across teams to develop and deploy data products and data-driven software, to provide analytical insights.
Collaborate with the BI and analytical teams, and support ad-hoc analysis.
Improve existing data resources by building data pipelines using AWS Cloud Services and other services.
Lead code and documentation reviews, educating the adoption of Data Science/Machine Learning best practices within the center of excellence.
Minimum qualifications include…
5+ years hands-on professional experience in Data Science and Analytics.
3-5+ years of strong coding skills in at least one statistical or programming language (e.g. R, Python) to import, process, summarize, and analyze data.
Experience with utilizing data visualization tools to tell compelling data stories (e.g. Tableau, Shiny)
Bachelor’s degree in mathematics, statistics, computer science, economics, operations research or in a quantitative field (or equivalent experience).
A solid grasp of the Scientific Method and its application to Data Science.
Fluency with descriptive and inferential statistical techniques, including experimental design (DOE) concepts and their application.
Proficiency with statistical and machine learning algorithms (e.g. regression, decision trees, collaborative filtering, clustering, survival analysis, graph theory, etc.).
Proficient in extracting large data sets from various relational databases using SQL (Amazon Redshift, Oracle, Teradata preferred).
Our ideal candidate has…
MS or PhD in mathematics, statistics, computer science, economics, operations research or in a quantitative field (or equivalent experience).
Strong background and proficiency with advanced methods such as (neural networks, Bayesian networks, deep learning, recommenders, etc.)
Experience of building and maintaining operational models processing large quantity of data in real-world production environments such as SageMaker, AzureML or Kubernetes.
Experience building and deploying data apps using R Shiny, Flask, Dash or similar tools
Experience developing packages in R or Python along with clear documentation
Passion and aptitude for turning sophisticated problems into concrete hypotheses that can be answered through meticulous data analysis and A/B testing.
Deep knowledge of statistical and machine learning algorithms and experience developing and deploying them to production-level systems (using Scikit-Learn, mlpy, MICE, Caret, PyTorch, Keras, or TensorFlow).
Experience working in a highly-collaborative environment (e.g. code sharing, using revision control, contributing to team discussions/workshops, and document sharing).
Experience developing and deploying data pipelines using Cloud Services (e.g. AWS).
Experience using engines such as Apache Spark or Hadoop to analyze large datasets.
Experience with data ETL, RESTful APIs.
Strong coding skills in Python, R. Strong preference will be given to those who can code in both R and Python.
Familiarity with e-commerce analytics topics (e.g., digital tactics, targeting and customer segmentation, lifetime value forecasting, and incremental response modeling, to name a few).
Nordstrom is able to offer remote employment of this position in all US states except AR, MS, MT, NE, NH, ND, SD, VT, WV, and WY. #LI-Remote#LI-EB1We’ve got you covered…Our employees are our most important asset and that’s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:
Medical/Vision, Dental, Retirement and Paid Time Away
Life Insurance and Disability
Merchandise Discount and EAP Resources
A few more important points...The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job.Nordstrom will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com. © 2022 Nordstrom, Inc  Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs.Pay Range DetailsThe pay range(s) below are provided in compliance with state specific laws. Pay ranges may be different in other locations.Colorado: $106,500-$159,700, Nevada: $106,500-$159,700


Sr Data Scientist Supply Chain

Job DescriptionNordstrom is a specialty retailer offering the very best in fashion and customer service since 1901. Five values guide how we work together and how we deliver analytic insights and data science products. We are customer-obsessed, owners at heart, curious and ever-changing, here to win, and committed to extending ourselves. We understand that our success comes from empowering our employees to set their sights high and deliver exceptional service to our customers.The Inventory Positioning Data Science team’s mission is to use data science and analytics to power Nordstrom’s decision making about where inventory needs to be to best serve customers what they want, where they want it, and when they want it. We predict how much of which types of inventory Nordstrom will have in various locations in the future to enable our merchants and supply chain partners to best serve our customers on their terms. We build and deploy models to allocate inventory to the stores and fulfillment centers based on where we anticipate customers will want it. We collaborate with product management, program management, and engineering colleagues to provide data-driven solutions for our partner teams. We welcome feedback, and we evaluate our products’ performance over time to identify and realize improvements over the long term. In everything we do, we prioritize making a big impact for our customers.Read this first: We encourage you to apply even if you do not meet all of the qualifications, but feel you would be a good fit for the position. Nordstrom is an equal opportunity employer.  We are building a diverse, inclusive workforce and hope you will join us!What you'll do
Develop a deep understanding of Nordstrom’s business and inform how we can use data science products to progress from our current state of inventory management to our target state using machine learning
Proactively identify high-value opportunities and influence stakeholders’ roadmaps
Master complex data sources, function as a subject matter expert in inventory flow across all of Nordstrom’s businesses (i.e., Nordstrom and Nordstrom Rack, online and in stores), and collaborate with data partners to improve and expand the team’s access to internal data
Lead efforts to develop and deploy robust end-to-end data science products, i.e., work across the product lifecycle from research and discovery to operationalization and production
Work closely with data engineering partners to use and improve our internal Machine Learning Platform infrastructure
Collaborate with and mentor teammates, learning from and sharing your expertise with them
Create resources and opportunities for learning and growth across our broader community of data scientists and data analysts
Skills and experience you have
Exemplary SQL skills, producing repeatable and robust code
Expert understanding of statistics, data analysis, and data visualization
Fluent Python skills and extensive experience with machine learning and data science libraries (e.g., scikit-learn, numpy, pandas, matplotlib, seaborn, etc.)
Experience with software engineering best practices, including story estimation, test-driven development, code review, and version control with git

Experience with Amazon Web Services (AWS) ecosystem or similar and with tools like Docker, Airflow, Kubernetes, or similar
Significant experience with deploying models in production
Passion for problem-solving and track record of machine learning innovation
Relationship-building and clear communication targeted to specific audiences
Commitment to collaboration, regularly presenting progress, insights, and recommendations to stakeholders, and incorporating feedback into design of new models and model improvements
Outstanding technical writing and documenting
Excellent written and verbal communication skills
What your background may look like
5+ years of hands-on data science experience. Retail experience, especially involving inventory and/or supply chain, is a plus
7+ years of experience querying data with SQL
Degree in a quantitative field or equivalent experience. MS or PhD is a plus
A few of our perks
Tremendous opportunity to work on exciting machine learning problems at the heart of Nordstrom’s strategy to be the best fashion retailer
Lightning talks and other opportunities to learn and share with our team of data science and analytics experts
Hackathons
Career advancement opportunities
Comprehensive health coverage, competitive salary, 401(k) match
A supportive, encouraging culture guided by our company values
Nordstrom discount!
Nordstrom is able to offer remote employment of this position in all US states except AR, MS, MT, NE, NH, ND, SD, VT, WV, and WY. #LI-Remote#LI-EB1We’ve got you covered…Our employees are our most important asset and that’s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:
Medical/Vision, Dental, Retirement and Paid Time Away
Life Insurance and Disability
Merchandise Discount and EAP Resources
A few more important points...The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job.Nordstrom will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com. © 2022 Nordstrom, Inc  Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs.Pay Range DetailsThe pay range(s) below are provided in compliance with state specific laws. Pay ranges may be different in other locations.Colorado: $124,600-$186,900, Nevada: $124,600-$186,900


Senior Data Scientist Discovery

Job DescriptionJoin a high impact, customer-obsessed data science and analytics team!   At Nordstrom, we apply Data Science across a complex and rapidly evolving retail landscape to develop innovative data products, new business processes and improve the customer experience in our stores and online. Our data science teams are composed of interdisciplinary contributors with a broad scope who work in an energizing and collaborative atmosphere.
The Digital Customer Experience - Discovery team is on a mission to reinvent the digital styling experience through the power of data and artificial intelligence. We are working on exciting, cutting edge and impactful opportunities, leveraging computer vision, natural language processing, and the latest open-source methods; creating in-process tools to enhance the stylist shopping experience; and developing analytics solutions that enable the business to make data-driven decisions.

Read this first: Research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. If you think you have what it takes, but don't necessarily meet every single point on the job description, please still get in touch. We'd love to have a chat to see what skills/experience you are able to bring to this team.

Responsibilities

Collaborate with engineering, product managers and taxonomy partners on a variety of search related projects, this includes product selection, product ranking, query understanding, autocomplete, and personalization.
Effectively plan and communicate with partners, and co-workers to define and align on deliverables, timelines, and responsibilities.
Manage and influence product strategy and execution with data and insights.
Lead development of data solutions to help solve business problems and improve customer experience.
Select the analytical modeling technique most suitable for the structured, complex data and develops custom analytical models
Build prototypes, and develop and deploy machine learning algorithms to production.
Identify and design experiments to measure the impact of newly developed models
Influence data science standards and best practices across the center of analytical excellence.
Coach junior team members as needed.

Qualifications

MSc in quantitative field or equivalent experience. PhD is a plus.
5+ years of commercial experience as a Data Scientist.
5+ years of experience with Python and proficiency with machine learning frameworks and libraries.
5+ years of experience with SQL. Experience working in environments such as Presto, Spark, and Hive.
3+ years of experience with search systems (Elasticsearch/Solr).
3+ years of experience with learning-to-rank, and NLP. Deep learning and computer vision is a plus.
3+ years of experience in A/B test design and post-test analysis.

Excellent software engineering practices, including test driven development, code review, and version control with git.
Experience making informed trade-offs that balance quick wins with long-term robust solutions.
A passion for machine learning, problem solving, and innovation. .

 Nordstrom is able to offer remote employment of this position in all US states except AR, MS, MT, NE, NH, ND, SD, VT, WV, and WY. #LI-Remote
#LI-EB1 We’ve got you covered…Our employees are our most important asset and that’s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:
Medical/Vision, Dental, Retirement and Paid Time Away
Life Insurance and Disability
Merchandise Discount and EAP Resources
A few more important points...The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job.Nordstrom will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com. © 2022 Nordstrom, Inc  Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs.Pay Range DetailsThe pay range(s) below are provided in compliance with state specific laws. Pay ranges may be different in other locations.Colorado: $124,600-$186,900, Nevada: $124,600-$186,900


Lead Data Analyst Wgu Academy

If you’re passionate about building a better future for individuals, communities, and our country—and you’re committed to working hard to play your part in building that future—consider WGU as the next step in your career.Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families. .Current WGU employees should submit an internal application before 8/19/2022 to be considered. Who is WGU Academy?At WGU Academy, we work collaboratively to dramatically impact college and workforce readiness efforts on a large scale. Our primary mission is to develop and deliver new solutions for college and career readiness to tens of thousands, even hundreds of thousands, of individuals and propel them to success in whatever domain they choose.This is a fully benefited, remote position that can be located anywhere in the 48 US States.Why consider us?
Fully remote position where you’ll make a difference in a mission driven environment.
Equipment provided: Choice of Mac or PC laptop
Comprehensive and affordable benefits (including mental health benefits, and generous PTO) plus 403b matches and contributions where we put money into your retirement account, even if you’re not contributing.
75%employee tuition discount available at WGU for yourself, and 50%discount for qualifying family members.
Innovative, fun, and enriching team environment where are you valued, given credit where its due, and recognized for your contributions.
Collaborative and cross functional team, where good communication is prioritized.
What will you be doing?WGU Academy uses a data and research-driven, evidence-based approach to learning success and the organization has a healthy respect for analytics and data in general.As the Lead Data Analyst with WGU Academy you’ll work on real-world problems that identify levels of learner success and most importantly use data to inform the building of interventions that help struggling learners reach their goals. This includes a deep analysis of learner profiles, learner learning patterns, academic and career outcomes, and course and learning resource quality. You’ll also help identify new markets & customers and help guide them to educational success. You’ll answer questions posed by others, but also be expected and encouraged to and answer your own questions. As a thought leader for analytics, you’ll interact with researchers, academic leaders, curriculum design experts, and other data analysts across the organization to continuously analyze and improve course and program performance and learner outcomes. Who will you be helping?Findings about learners and their experiences are used immediately and lead to direct, actionable interventions and changes to help current and future learners succeed. Your data analysis will shape learning experiences for individual learners who have traditionally been underserved in Higher Education. Who are you?You’re inquisitive and have the desire to innovate and test ideas in an environment where iteration is encouraged and expected. You enjoy working at a fast pace on projects that have clear-cut deadline and objectives and follow a 2-3 week sprint cycle. You love working with data and are excited about creating and improving learning experiences for our learners.How is success measured?We’ve built out a training plan so you can familiarize with data, gain a solid understanding of the metrics and status quo before jumping into creating descriptive analysis, building out automated calculations. From here you’ll jump into inferential statistics, and, visualization build outs.Once you’re up to speed with our data and processes, success will be measured against the number of deliverables, the speed of generation, and quality of your findings. Essential Functions and Responsibilities: Working with other analysts and researchers in a sprint fashion, you’ll be expected to expertly handle multiple projects simultaneously, each at different stages of the analytics cycle. You’ll be cleaning data, performing manipulation and analysis, creating reports and dashboards for presentation; attending a handful of meetings, and working on projects that align to interests and key priorities for the organization. There will be opportunity to build out systems, further data refinement, automate jobs, and create automated dashboards that will replace manual processes.
Defines analytic projects in a way that delivers business value to WGU Academy
Identifies needs and creates novel analytic projects (rather than simply responding to requests)
Analyzes and interprets diverse sets of educational data using a variety of statistical methods (e.g., t-tests, regression, natural language processing, thematic analysis, structural equation modeling, Chi-square, factor analysis, hierarchical/multi-level modeling)
Uses SQL, Python, R, or Scala to clean, manipulate, and transform data for analysis
Reports, explains, and presents statistical analyses to the most senior leadership teams using graphs, charts, and tables
Designs and maintains Tableau dashboards
Applies understanding of learning science to develop methods for measuring  learning and engagement
Uses understanding of data collection to design and implement new methods of measurement
Stays informed of emerging trends in learning science, learning analytics, and data science
Clearly communicates with users to assess needs and requirements for data products
Pitches value of potential data products using functioning proofs-of-concept
Works across academic colleges and programs to provide valuable data-informed insights on trends of performance metrics
Knowledge, Skill and Abilities
Strong written, oral, presentation, and interpersonal skills, including the ability to explain the significance of data and trends to stakeholders
Ability to manage multiple, competing tasks independently while working in a team environment
Ability to provide mentoring to more junior team members
Work with outside vendors and internal teams to improve data availability and quality
Ability to use SQL, R, Python, or SAS to run descriptive, inferential, multivariate, and other statistical analyses
Ability to create data dashboards and visuals using tools like Tableau and Databricks
Ability to create datasets for analysis & reporting using SQL, Python, R, or Scala.
Ability to explain analysis results to non-technical audience
Ability to manage multiple ongoing data projects
Qualifications:Minimum Qualifications:
Master’s degree in learning science, data analytics, behavioral or cognitive psychology, statistics, or a closely related field
5+ years of experience in quantitative and qualitative data analysis and visualization
1+ years building dynamic, interactive dashboards
3+ years working with relational databases
Preferred Qualifications:Familiarity with Databricks, SalesforceWorking Conditions
Limited travel for team meetings in Salt Lake City
Remote Position
Disclaimers: WGU Academy, Inc is an affiliated non-profit entity of 501c(3) Corporation of Western Governors University This Job Description has been designed to indicate the general nature, essential duties, and responsibilities of work performed by employees within this classification. It does not contain a comprehensive inventory of all duties, responsibilities, and qualifications that are required of the employee to do this job.  Duties, responsibilities and activities may change at any time with or without notice. This Job Description does not constitute a contract of employment and the University may exercise its employment-at-will rights at any time.#LI-KM1#LI-RemoteAs an equal opportunity employer, WGU recognizes that our strength lies in our people. We are committed to diversity.


Data Scientist I Product Analytics


Senior Data Scientist

Welcome to the future of coffee. Cometeer features the best beans from world-class roasters, brewed better through science, and frozen in a peak-state of coffee deliciousness.  Delivered in a tiny recyclable capsule, all you have to do is melt it with hot water (or ice water, or oat milk if you’re fancy). Think pour over quality, pajama convenience.
We’re a technology-driven company, looking to revolutionize the $400+ billion global coffee market. Our new-format coffee capsule – perfected over years of investment and research – delivers the quality of specialty coffee in a uniquely convenient format.  Our capsules are shipped straight to your door frozen; all you need to do is peel back the lid, add water or milk, and enjoy (no machine required).
Our coffee has received rave reviews from celebrities (including David Chang, Aaron Paul, and Adam Levine), coffee aficionados, and entrepreneurial leaders alike. We’ve built a 70,000 square foot state-of-the-art production facility in Gloucester, MA that leverages custom-built machines, a proprietary brew science, and novel flash-freeze technology that preserves coffee freshness like never before. We are now beginning to scale our business across multiple channels, from direct-to-consumer to office, retail, wholesale, online delivery, and more.
Our world-class team includes alums from Tesla, Palantir, Oscar Insurance, Blue Bottle, Wayfair, and Apple. We’ve also raised over $100 million in venture capital from leading investors, including D1 Capital, Greycroft, Elephant Ventures, Addition and Avenir.
To learn more about us, check out some of our coverage here and here
The Team
The Data Team at Cometeer exists to help make decisions data-driven. Data is a horizontal team that serves all business units across the company. Cometeer seeks to be data driven at its core and across all business functions. This is a foundational principle that is shared across founders, leadership, and all parts of the organization. The vision is that Cometeer wins in great part due to its ability to leverage data to drive rather than simply measure strategy and execution. The Data Team exists to execute on this vision.
The Role
We are looking for a detail-oriented and analytical deep-thinker to closely partner with non-technical and technical stakeholders. A successful candidate should have a strong quantitative foundation as well as a demonstrated ability to directly own business outcomes end-to-end. You will be one of the first hires on the Data Team, reporting to the Head of Data.
What you’ll do:
Partner with internal teams to leverage data and quantitative methods such as hypothesis testing to enable strategic decision-making and operationalize rapid growth.
Discover, understand, and integrate disparate data sources from every corner of the business, and structure them into clean data models that fuel self-service analytics for internal teams as well as advanced data science.
Partner with the engineering team to shape product roadmap, scoping and improving upstream systems and backend data sources.
What we’re looking for:
You have 5+ years experience in a data science role, using quantitative analysis to solve challenging, real-world problems (background in e-commerce or operations is a plus).
You have a strong quantitative or technical academic background, such as mathematics, computer science, statistics, economics, finance, or physics.
Expert on running SQL in production: you write complex joins and window functions in your sleep; you're experienced in state of the art tools (e.g., GitHub, Fivetran, dbt); and you spearhead best practices (e.g., data unit tests, historization, snapshotting, etc.)
Experience writing statistical models in Python and/or R (e.g., linear regressions or classifiers).
Experience modeling data into logical objects and relations, with an eye towards broad accessibility across different skill levels, using modern tools such as Looker or Tableau.
Track record of building strong relationships with cross-functional partners and executives at multiple levels of technical proficiency.
Cometeer is an Equal Opportunity Employer and is committed to building an inclusive environment for people of all backgrounds and everyone is encouraged to apply. We do not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law.


Application Data Scientist Public Sector

The Role:
SymphonyAI Public Sector is building the leading enterprise AI SaaS solutions to transform the public sector, delivering insights and predictive analytics for large data sets, helping to reduce costs, control waste, and provide efficiencies. As an application data scientist on the public sector team you will be working with some of the largest/most advanced and innovative federal agencies and will develop solutions for complex problems working with advanced machine learning at scale.
Responsibilities:

Directly interact with Public Sector customers to understand business problems and data
Develop models and algorithms to solve complex problems
Become proficient user and advocate of SymphonyAI’s AI/ML platform and products
Serve as a technical expert, assisting leadership during project evaluations, pilots, and delivery
Make research and development contributions to our core product offerings
Interact and collaborate with software engineers, data scientist, and product managers to define new capabilities and solutions
Mentor and coach data scientists as we grow the team

Requirements:

US Citizenship
MS or Ph.D. in Computer Science, Engineering, Statistics, or similar fields of study
2+ years hands on experience delivering machine learning applications to enterprise clients with demonstrable results
Solid understanding of existing statistical and machine learning techniques
Ability to drive projects, working independently or as part of a larger team
Excellent communication and presentation skills
Expert Python programing skills

Preferred:

Experience with deep learning, natural language processing, or reinforcement learning
Knowledge of advanced topics including Graph Deep Learning and Topological Data Analysis

Who We Are
SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management. SymphonyAI businesses have many leading enterprises as clients in each of these industries. Since its founding in 2017, SymphonyAI has grown to 2,000 talented leaders, data scientists, and other professionals. SymphonyAI is an SAIGroup company, backed by a $1 billion commitment from successful entrepreneur and philanthropist Dr. Romesh Wadhwani.


Data Scientist

This role is open to remote within the posted state.
Data Scientist
Huge is looking for a Data Scientist to join our team!
Job description.
As a Data Scientist you will be a key contributor to scaling our data science capability, working with data science team members to extend & leverage machine learning solutions.  On a regular basis, you will collaborate across disciplinary user experience teams at Huge and serve as a guide to answer questions, offer insights, and bring structure to data so that it serves to inform decisions that will impact clients’ business.
What you’ll be doing.
Most importantly, as a Data Scientist, you will continuously be asked to set a positive example and champion the data science capability.  In order to succeed in this role, you will need to be hands-on, comfortable starting from zero and quickly ramping up when faced with specific business challenges, feel comfortable presenting data science capabilities that can easily be understood and leveraged across disciplinary teams at Huge and by clients. Collaboration with internal and external teams is fundamental to ensure the delivery of specific client solutions. You will also be hands-on building solutions in Python, establishing data models for machine learning, and looking for opportunities to continue to push the envelope.
What we’d like to see.
A minimum of 2 years of experience in a relevant industry that uses data science capabilities.
An undergraduate degree in Science, Technology, Engineering, or Math.
Proficient in Python and associated data science packages.
R Programming
Experience working on client engagements and across distributed team's end-to-end, from development to implementation of data science solutions.
Ability to take disparate sources of data (structured & unstructured) and develop methods that produce models and algorithms that handle tasks, parameters, or optimizations to generate an evaluation output.
Proven ability to deliver solutions such as regression analysis for prediction, classification for sentiment analysis, clustering and retrieval of content, matrix factorization & dimensionality reduction for recommendations, and utilization of deep learning.
Knowledge of either the GCP or AWS CLI
About Huge.
Huge is a global experience agency made up of creatives, designers, technologists, strategists, and data scientists. We help companies elevate the human experience by creating unified brand experiences that people love. We work with clients such as Google, McDonald’s, FCA, Brooks Running, P&G, and others, who are as committed to shaping culture and defining the future as we are. Headquartered in Brooklyn, we currently have more than 1,200 employees working across 13 offices in North America, Latin America, Europe, and Asia.
Huge is committed to creating an inclusive employee experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or if you’re parenting the next generation of innovators, we firmly believe that our work is at its best when everyone feels free to be their most authentic self.
#LI-POST #LI-Remote


Associate Data Scientist

So, what’s the role?
At Kin, we are modernizing and simplifying a 100-year-old industry by building our product suite from the ground up. As our Associate Data Scientist, you will partner cross-functionally with the Business Intelligence and Data Engineering teams to build scalable analytical products that drive business value. These products could range from predictive models to pipelines to ingest, clean, and analyze data from multiple sources. We want someone who is not only passionate about Data Science, but is also interested in the context around the problem and implementing the solution that is best for the business.
A day in the life could include:

Building predictive models and perform analysis to optimize Kin’s customer experience and marketing in order to continue profitable growth
Build pipelines to ingest data and create features to be used in models and analysis
Act as a strategic advisor to our business partners; offering not only support in analytics and models but insights that are backed by both data and business expertise
Work cross functionally with Data Engineering, Business Intelligence and Analytics Engineer to provide full product solutions
Assist with the design and architecture of our ML Ops infrastructure
Assist with data vendor analysis and integration
Use analytics tools (SQL, Looker etc.) to monitor the performance of existing models in production

I’ve got the skills… but do I have the necessary ones?

Bachelor’s degree in Machine Learning, Statistics, Mathematics, Computer Science, or a related field
1-2+ years of experience in Data Science, Business Analytics, Data Engineering, or Analytics Engineering
Must have a mathematics or statistics background
Experience in programming in Python and SQL in a professional setting
Excellent interpersonal skills
Insurance experience is highly preferred
Interest or experience in highly regulated and/or startup environment(s)
Passion for data-driven storytelling

Oh, and don’t worry, we’ve got you covered!

Medical, Dental and Vision Insurance
Flexible PTO policy
Very generous equity options and 401K
Parental Leave
Continuing education and professional development
Disability and Life Insurance
The excitement of joining a high-growth Insurtech company and seeing your work make an impact


Data Scientist Intern

The Data Science team at Figma partners directly with our product and engineering teams to uncover insights, influence decision making, and apply a data lens to business problems critical to Figma’s growth. Our work is diverse and evolving. As an intern on our team, you will have an opportunity to apply your skills on technical challenges that will have a real impact on our business and product. We seek data scientists with strong coding and statistics fundamentals and who are excellent communicators among technical and non-technical audiences.
*Summer, 2023
What you’ll do at Figma:

Collaborate with cross-functional teams including Product, Engineering, Research, Design, Sales, and Marketing to turn business questions into data problems
Evaluate experiments to measure the impact of product changes
Define and surface metrics to guide decision making
Build models to understand user behavior and predict growth

Some projects you could work on:

Evaluation of different online experimentation methodologies and how they may improve velocity and accuracy of A/B tests at Figma
Investigating user behaviors and running experiments to drive improvements on a brand new product offering
Recommend opportunities for growth and optimization of our core product through researching KPIs and/or areas of the business funnel

We'd love to hear from you if you have:

A strong baseline in statistics, Computer Science, Mathematics, Economics or other quantitative field
Proficiency with basic SQL
Experience with R, Python, or similar scripting language
Firm knowledge around statistical methods and models
Research experience in the natural sciences, social sciences, or behavioral sciences
Experience working with creative tools
A self-starting approach along with strong communication and collaboration skills

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Read more about our team

Inside Figma: my time as a new grad
Inside Figma: a Q&A with our 2021 interns and new grads
Investing in Figma: The Decade of Design
How work is changing at Figma
Figma's next product is a multiplayer whiteboard called FigJam
Software Design Startup Figma Is Now Worth $10 Billion


Data Scientist Early Career

The Data Science team at Figma partners directly with our product and engineering teams to uncover insights, influence decision making, and apply a data lens to business problems critical to Figma’s growth. Our work is diverse and evolving. As a member of our team, you will have the opportunity to work on a wide range of technical challenges from data engineering, analytics, experimentation, and machine learning. We seek data scientists with strong coding and statistics fundamentals and who are excellent communicators among technical and non-technical audiences.
What you’ll do at Figma:

Collaborate with cross-functional teams including Product, Engineering, Research, Design, Sales, and Marketing to turn business questions into data problems
Evaluate experiments to measure the impact of product changes
Define and surface metrics to guide decision making
Communicate and document data logging and requirements
Build models to understand user behavior and predict growth
Provide thoughtful feedback to others on the team

In your first few months, you'll:

Work with an onboarding buddy to make your first edits to our data tables and dashboards
Start to build deep context and expertise in Figma's data and product
Deliver your first product analysis

We'd love to hear from you if you have:

A strong baseline in statistics, Computer Science, Mathematics, Economics or other quantitative field
Experience with R, Python, or similar scripting language
Firm knowledge around statistical methods and models
A self-starting approach along with strong communication and collaboration skills

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Read more about our team

Inside Figma: my time as a new grad
Inside Figma: a Q&A with our 2021 interns and new grads
Investing in Figma: The Decade of Design
How work is changing at Figma
Figma's next product is a multiplayer whiteboard called FigJam
Software Design Startup Figma Is Now Worth $10 Billion


Senior Data Scientist Climate Risk And Community Resilience

The role
As the Senior Data Scientist leading Climate Risk and Community Resilience, you will be driving the evolution of UrbanFootprint’s risk-based data products including Grid Resilience Insights and Municipal Bonds Insights.  These products are designed to help asset managers and financial institutions make investment decisions by taking into account climate and environmental hazard risk, community impacts and vulnerability, and physical infrastructure and the built environment.  These data products leverage our parcel-level map of all properties across the US to facilitate decision-making for scales ranging from parcels and neighborhoods to states and the entire US.
As a product-minded and pragmatic data science leader, you know how to appropriately scope projects to ensure we are delivering what customers need today, and have ideas for how we can improve in the future.  You are autonomous, not independent;  you work collaboratively with business partners to understand the ‘what’ and ‘why’ and take full ownership of figuring out ‘how’ to meet those needs.  You proactively communicate progress and are accountable for the validity and accuracy of all models produced for your data products.  You are a hands-on leader, able to build models and provide technical support and mentorship to junior data scientists.
What you'll do:

Partner with product managers to develop and execute on a technical roadmap for our Climate Risk and Resilience data products.
Develop novel models and algorithms to help our customers face society’s pressing challenges of climate vulnerability and social inequity across multiple verticals.
Identify, normalize, and analyze various environmental and climate hazard datasets to assess where risks are the highest.
Partner with solutions analysts, customer success and product managers to help turn customers problems into actionable solutions.
Help to define and communicate a quantified understanding of risk across multiple products.
Own data science problems end-to-end, from ideation, exploratory data analysis and prototype, to collaborating with data engineers and machine learning engineers to ship models to production.

Your background most likely includes:

Work experience equivalent to a Master’s degree or higher in Statistics, Data Science, or a branch of Environmental Sciences/GeoSciences, with experience working with geospatial (raster and vector) or spatiotemporal data
Fluency in Python and Python’s scientific programming stack such as pandas, GeoPandas, rasterio, xarray, sklearn, pytorch, fastai, statsmodels and various visualization packages including map-based visualizations.
Practical experience with a wide variety of statistical and machine learning models such as statistical and machine learning regression models, geostatistics, downscaling and interpolation.
Experience developing models in an iterative, fast-paced environment.
Excellent communication, collaboration, and documentation skills.

Bonus qualifications:

Master’s degree or higher in Statistics, Data Science, Computer Science, Civil or Environmental Engineering, GeoSciences, or Urban Planning (with an emphasis on geospatial, spatiotemporal or machine learning modeling), or other similar technical fields.
Experience working with publicly available climate and hazard data, including downscaled CMIP5 datasets (e.g., LOCA/MACA), NOAA flood hazard layers, and others.
Experience developing quantitative impact estimates of climate change or extreme weather events such as infrastructure damage estimates, economic impacts and/or population impacts.
Deep experience with and knowledge of geospatial modeling and analysis including familiarity with raster rescaling, joining rasters to vector features, and spatiotemporal modeling.
Experience as a full-stack data scientist, owning data pipelines, model development and production model implementation.
Familiarity with large-scale data analysis frameworks including SQL, Apache Beam, Dask or PySpark.
Passion for climate resilience, equity, urban planning, and leveraging data to facilitate a more equitable and resilient society.


Health Scientist Data Science

COVID-19 Vaccination Requirement
The COVID-19 vaccination requirement for federal employees pursuant to Executive Order 14043 does not currently apply. Some jobs, however, may be subject to agency- or job-specific vaccination requirements, so please review the job announcement for details. Click here for more information.
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Summary
The Division of Data Integration, Modeling, and Analytics (DIMA) is NIGMS' central nexus for all data-driven discussions, decisions, and actions. DIMA serves the Institute's Director, Deputy Director, Senior Staff, Scientific Divisions, and Program Staff by providing robust, timely, accurate, and contextually appropriate data and information that aid in the efficient administration of all NIGMS programs and in the proper stewardship of taxpayer resources.

                                        Learn more about this agency

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This job is open to

Career transition (CTAP, ICTAP, RPL)
Federal employees who meet the definition of a "surplus" or "displaced" employee.

Family of overseas employees
Family members of a federal employee or uniformed service member who is or was, working overseas.

Federal employees - Competitive service
Current or former competitive service federal employees.

Individuals with disabilities

Land & base management
Certain current or former term or temporary federal employees of a land or base management agency.

Military spouses

Peace Corps & AmeriCorps Vista

Special authorities
Individuals eligible under a special authority not listed above, but defined in the federal hiring regulations.

Veterans

Clarification from the agency
You must be a current or former federal employee eligible to apply under merit promotion procedures or otherwise be eligible as a status applicant (e.g. Veterans Employment Opportunity Act) OR be an individual who is eligible through an OPM interchange agreement or for a non-competitive appointment.

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Duties
NIGMS-funded scientists investigate how living systems work at a range of levels, from individual molecules and cells to tissues, organs, research organisms, humans, and whole populations. Additionally, to ensure the vitality and continued productivity of the research enterprise, NIGMS provides leadership in training the next generation of scientists, in enhancing the diversity of the scientific workforce, and in developing research capacity throughout the country.

A Health Scientist (Data Science) will be expected to perform the following duties:
Identify strategies and implement approaches to understand and respond to the evolving research data needs of NIGMS programs, including leading and developing special projects of interest across NIH and HHS.
Apply analytical, machine learning, visualization and reporting tools to data sets in order to further scientific understanding and derive knowledge from data.
Serve as a member of committees or work groups at the agency or department level as well as on interdepartmental groups. In this capacity, the incumbent provides professional expertise as well as representing NIGMS on matters relating to policy and interpretation of resource requirements for data science and health research.
Evaluate program initiatives to determine whether strategic goals are being accomplished and implement course correction when appropriate.
Leads applied data science and health research strategies to optimize data for evidence-based management of NIGMS scientific training, scientific workforce development, and scientific diversity programs. Integrate scientific training data to the Institute-wide analytical dashboard.
Communicate new data science findings with the greater scientific community through publications in scientific and peer-reviewed journals as well as paper and poster presentations in conferences
Develops and leads collaborations across HHS, NIH, and other organizations to align NIGMS data-driven activities and health research with external efforts to improve methods and approaches for optimizing utilization of data. Represents NIGMS on appropriate HHS, NIH, interagency committees, working groups, and conferences in developing, recommending and implementing data science methods and tools. Identifies strategies and implementation approaches to understand and respond to the evolving research data needs of NIGMS staff.

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Requirements
Conditions of Employment
U.S. Citizenship requirement or proof of being a U.S. National must be met by closing date.
Employment is subject to the successful completion of the pre-appointment process (i.e., background investigation, verification of qualifications and job requirements, completion of onboarding forms, submission of required documents, etc.)
Males born after December 31, 1959 must be registered with the Selective Service.
Applicants must meet all qualifications requirements within thirty (30) calendar days of the closing date of this announcement, including time in grade.
Position requires Education , please submit transcripts
If selected, you will be required to complete a Confidential Financial Disclosure Report, OGE Form 450 annually.
Qualifications
In order to qualify for a Health Scientist (Data Science), GS-0601-14, position you must have successfully completed a full 4-year course of study in an accredited college or university leading to a Bachelor's degree or graduate/higher level degree with major study in an academic field related to the medical field, health sciences or allied sciences appropriate to the work of the position. (This degree must be from an educational program from an accrediting body recognized by the U.S. Department of Education at the time the degree was obtained).
In addition, to qualify for an Health Scientist (Data Science), position at the GS-14 level, you must possess at least one year of qualifying experience equivalent to at least the GS-13 level in the Federal service obtained in either the private or public sector, which includes developing organizational data-related strategies and procedures by partnering with the relevant stakeholders (e.g., researchers, leadership); providing oversight and guidance on the implementation and integration of state-of-the-art technologies and solutions for a scientific or health research organization; supporting scientific data and knowledge management systems by providing guidance on administration and management functions; providing guidance on creating and modifying scientific applications using programming languages (e.g., R, Python, SQL, Scala, Java, C/C++, Julia); presenting findings to senior-level leadership through data visualization techniques using programming or software packages.
You will receive credit for all experience material to the position, including experience gained in religious, civic, welfare, service, and organizational activities, regardless of whether you received pay.
Do not copy and paste the duties, specialized experience, or occupational assessment questionnaire from this announcement into your resume as that will not be considered a demonstration of your qualifications for this position.
You will receive credit for all experience material to the position, including experience gained in religious, civic, welfare, service, and organizational activities, regardless of whether you received pay.
Preview assessment questionnaire before you apply:https://apply.usastaffing.gov/ViewQuestionnaire/11478293
Education
This position has an education requirement. You are strongly encouraged to submit a copy of your transcripts (or a list of your courses including titles, credit hours completed and grades). Unofficial transcripts will be accepted in the application package. Official transcripts will be required from all selectees prior to receiving an official offer. Click here for information on Foreign Education.
Additional information
If you are unable to apply online or need to fax a document you do not have in electronic form, view the following link for information regarding an Alternate Application.
"This position is eligible for non-local remote work, a position designation where little to no onsite presence is required (e.g., once or twice annually). You may work anywhere in the U.S., including any of the territories. Worksites outside of the U.S. are prohibited. Your pay is determined by the geographically defined pay locality applicable to your approved worksite (e.g., home residence). Reporting to an NIH location may also be required during the onboarding process. Visit NIH's Remote Work page for more information and requirements."
Federal agencies may request information regarding the vaccination status of selected applicants for the purposes of implementing other workplace safety protocols, such as protocols related to masking, physical distancing, testing, travel, and quarantine. Employees providing healthcare or services in support of healthcare (Healthcare Workforce) may be required to receive a COVID-19 vaccine because they are expected to perform duties that put them in contact or potential contact with patients. We may request COVID-19 vaccination, and other vaccination documentation from Healthcare Workforce personnel at any point during the onboarding process or at any time during your employment with NIH.
This position is designated as a "non-emergency/non-teleworker" position and the selected candidate will be considered a "non-emergency/non-teleworker" employee.
A one-year probationary period may be required upon selection/placement.
If selected, you will be required to complete a Confidential Financial Disclosure Report, OGE Form 450 to determine if a conflict or an appearance of a conflict exists between your financial interest and your prospective position with the agency. This information is required annually. For information, visit the NIH Ethics website: https://ethics.od.nih.gov/topics/fd.html.
PHS Commissioned Officers interested in performing the duties of this position within the Commissioned Corps should apply online to this announcement to receive consideration
We may make additional selections for similar positions within the commuting area(s) of the locations listed through this vacancy announcement. By applying, you agree to have your application shared with any interested selecting official(s). Clearance of CTAP/ICTAP will be applied for similar positions.
The National Institutes of Health participates in the USCIS Electronic Employment Eligibility Verification Program (E-Verify). E-Verify helps employers determine employment eligibility of new hires and the validity of their Social Security numbers.
The NIH maintains a tobacco free work environment and campus.
Must be able to perform the essential duties of the position, with or without reasonable accommodation.
Visit our Applicant FAQs page for helpful information on the application process.
Visit our Total Compensation page for a detailed look into the benefits, awards, leave, retirement and other incentives employees may receive as part of a rewarding work environment.
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                                                Benefits

How You Will Be Evaluated
You will be evaluated for this job based on how well you meet the qualifications above.
Additional selections may be made for similar positions across the Department of Health and Human Services (HHS) within the local commuting area(s) of the location identified in this announcement. By applying, you agree to have your application shared with interested selecting official(s) at HHS. Clearance of CTAP/ICTAP will be applied for similar positions across HHS.

To determine your qualifications and referral status, we may review your resume and supporting documentation and compare it against your responses to the vacancy questionnaire. Ensure you support your self-ratings by the information you provide in your application. We may verify or assess your qualifications at any time. Inflated or unsupported qualifications may affect your rating. Any misrepresentation or material omission of facts may be sufficient cause to end further consideration of your candidacy. Persons listed as having knowledge of your past accomplishments or experience in your application may be contacted for verification purposes at any time. Verification may, but need not, begin prior to receiving an offer. To be considered well qualified for the purposes of the Career Transition Assistance Program (CTAP) and the Interagency Career Transition Assistance Program (ICTAP), you must substantively exceed the basic qualifications by scoring at least an 85 on the assessment and meet all eligibility, physical, medical, suitability, and all other requirements.

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Required Documents
RESUME:
Your resume must thoroughly describe how your skills and experiences align to the criteria defined in the "Qualifications" section of this announcement and it must support your responses to the assessment questionnaire. We cannot assume you have performed the necessary experience required for this position regardless of your employment history or academic career. To ensure all of the essential information is in your resume, we encourage you to use the USAJOBS online Resume Builder. If you choose to use your own resume, you must ensure it contains all of the required information and you organize it so we can associate the following information for each experience/position:
Job title
Name of employer
Beginning and ending dates of employment (month/day/year format)
Hours worked per week. We will assume full-time unless otherwise stated. We will prorate part-time employment in crediting experience.
Detailed description of job duties, accomplishments, related skills, and responsibilities to include any supervisory/managerial responsibilities and number of staff supervised (if applicable)
Series and grade or equivalent (if a federal position)

If the position has an education requirement or you are qualifying on the basis of education, you need to list your education history including the type of degree and your major of study. If the position requires a certain number of credit hours, you are strongly encouraged to list the relevant courses in your resume. Do not include a photograph or video of yourself, or any sensitive information (age, date of birth, marital status, protected health information, religious affiliation, social security number, etc.) on your resume or cover letter. We will not access web pages linked on your resume or cover letter to determine your qualifications.
For resume writing guidance, please visit the following resources:NIH Jobs website, USAJOBS Resource Center, and the USAJOBS Resume Writing Video Tutorial.
ASSESSMENT QUESTIONNAIRE:
You must submit a completed assessment questionnaire.
ELIGIBILITY/PREFERENCE DOCUMENTATION:
You must submit the following documentation, if applicable to you AND respond accordingly to the associated question on the online questionnaire. If you do not provide the required information, we will assume you are not eligible or you do not wish to be considered for any preference or eligibility.
SF-50 - A copy of your most recent competitive career or career conditional SF-50 that shows the effective date of your latest position and the full performance level. You may obtain a copy of your SF-50 from your human resources office or, if you are an HHS employee, from your eOPF. If you separated from Federal Government employment, you may obtain a copy of your SF-50 via the Federal Records Center, National Archives and Records Administration.
Veteran Documentation: (DD-214, VA Disability Letter, etc.). Reference Standard Form 15 (SF-15) for required documentation if you are a 10-point preference eligible. Submission of SF-15 is not required, unless you have derived preference (XP) as described in questions 7, 8, or 9 on the SF-15. In those cases, you must submit a completed SF-15 and the required documentation. For 5 point preference eligibles, you must submit your DD-214 (if separated) or any written documentation from the armed forces that certifies you are expected to be discharged or released from active duty service in the armed forces under honorable conditions not later than 120 days after the date the certification is submitted with your application package.
Schedule A (Disability Appointment): Documentation of eligibility for employment under Schedule A can be obtained from a licensed medical professional (e.g., a physician or other medical professional certified by a state, the District of Columbia, or a U.S. territory to practice medicine); a licensed vocational rehabilitation specialist (i.e., state or private); or any Federal agency, state agency, or agency of the District of Columbia or a U.S. territory that issues or provides disability benefits. The letter must be printed on a medical professional's letterhead and signed. Please note the Schedule A hiring authority neither guarantees employment, nor gives an individual preference in the hiring process.
Documentation to support any other noncompetitive or OPM interchange agreement eligibility. Reference the Eligibility section of the questionnaire for required documents and information.
Visit our sites on Career Transition Assistance Program (CTAP)/Interagency Career Transition Assistance Program (ICTAP) for more information and required documentation.
Please do not submit any other supplementary documentation that is not requested of you. To protect your personal information, we will only send your resume and cover letter to the selecting official or hiring manager.
If you are relying on your education to meet qualification requirements:
Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from
                                                    schools accredited by accrediting institutions recognized by the U.S. Department of Education.
Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.

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How to Apply
To apply for this position, please read and follow all instructions in this announcement, complete the online application, and submit the documentation specified in the "Required Documents" section. Your complete application package must be submitted by 11:59 PM Eastern Time (ET) on 08/19/2022 to receive consideration.
To begin, click Apply to access the online application. You will need to be logged into your USAJOBS account to apply.
Follow the prompts to select your resume and/or other supporting documents to be included with your application package. See the "Required Documents" section for any additional forms and/or supplemental materials required.
Read all Eligibility questions and respond accordingly to any Eligibility you wish to claim.  You will only be considered for those Eligibility questions (Status Applicant, Reinstatement, Schedule A, etc.) you respond in the affirmative to, regardless of what documentation you submit. We cannot assume you intended to respond differently to a question based on other information in your application package.
Complete the assessment questionnaire. Applicants are asked all questions regardless of their consideration preferences. We will only consider you for the grades, series, locations, specialties, and other considerations that you self-identify as being qualified for or interested in. Preview assessment questionnaire before you apply: https://apply.usastaffing.gov/ViewQuestionnaire/11478293
Verify all required documentation is included in your application package, review your responses to the assessment questionnaire for accuracy, and then submit your application.
In addition to the required documents,we encourage you to submit a cover letter, copy of your transcripts, and any applicable certifications or licenses.  Even though this information is not required at the time of application, we may request this information later.
We cannot assume responsibility or grant extensions for personal issues (e.g., troubles navigating the application process, loss of internet, not understanding a question) when applying to our announcements.  For technical difficulties, contact HR Systems Support between 8:00 AM and 4:30 PM ET Monday through Friday athrss@nih.gov.
If you need any other accommodation or assistance with applying, please contact Synthia Barnette at BARNETTESD@mail.nih.gov.  Requests for reasonable accommodations must be made before the announcement closing date.
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Agency contact information
Synthia Barnette
Phone
3018271296
Email
BARNETTESD@mail.nih.gov
Address
National Institutes of Health
                6701 Rockledge Dr
                Bethesda, MD 20892
                US

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Next steps
Once you submit your application package, you will receive an acknowledgement email. You will be notified of the status of your applications via email. In addition, you can track the progress of your application package through your USAJOBS account.

At the discretion of the agency, you may be contacted via phone or email for an interview or to provide additional information up to several months from the closing date of the announcement. Please ensure you have provided accurate contact information.  To remain in consideration, you must respond in a timely manner to our correspondence and requests for documentation or information throughout the hiring process.
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The Federal hiring process is set up to be fair and transparent. Please read the following guidance.

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Data Scientist Department Of Veterans Affairs

Qualifications
BASIC EDUCATION REQUIREMENT: Must possess a bachelor's degree in mathematics, statistics, computer science, data science or a field of study directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. (Transcripts Required - Copies of Degrees/Diplomas or course listings are not adequate information)
OR
Combination of education and experience: Must possess a combination of education and experience of: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience. (Transcripts Required - copies of degrees/diplomas or course listings are not adequate information.)
AND
SPECIALIZED EXPERIENCE REQUIREMENT: In addition to meeting the Basic Education Requirement, you must also possess specialized experience as indicated below in order to qualify for this position.
Specialized Experience: Must possess one (1) year of specialized experience equipped with the knowledge, skills and abilities to successfully perform the duties of the Data Scientist position. This experience must have been equivalent to at least the GS-13 grade level in the Federal service. Specialized experience includes: working experience with the responsibility for the overall development, management, control, coordination, storage, retrieval and execution of data acquisition requirements and the efforts of other agency professionals and contractors in solving complex and far-reaching data management issues and problems for a wide range of systems, applications, and customers with issues that include data interface and storage, and require application of data management principles, procedures, and tools such as modeling techniques, data backup, data recovery, data dictionaries, data warehousing, data mining, data disposal, and data standardization processes; possessing expertise in and management of end-to-end data processes in the data life cycle including experience with the use of data elements; storage of data elements (data model) and data quality methods, programming, statistics, machine learning, and data visualization; conducting observational analysis using software and/or programming languages such as R, Python, or SAS to explore/group data, test hypotheses, predict outcomes, and inform decisions. (This experience must be documented in your resume.)
You will be rated on the following Competencies as part of the assessment questionnaire for this position:
Analytical ThinkingAttention to DetailCommunicationComputer LanguagesData Management
IMPORTANT: A full year of work is considered to be 35-40 hours of work per week. All experience listed on your resume must include the month and year start/end dates. Part-time experience will be credited on the basis of time actually spent in appropriate activities. Applicants wishing to receive credit for such experience must indicate clearly the nature of their duties and responsibilities in each position and the number of hours a week spent in such employment.
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). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
For more information on these qualification standards, please visit the United States Office of Personnel Management's website athttps://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/.