People Research Scientist

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.About Futureforce University RecruitingOur Futureforce University Recruiting program is dedicated to attracting, retaining and cultivating talent. Our interns and new graduates work on real projects that affect how our business runs, giving them the opportunity to make a tangible impact on the future of our company. With offices all over the world, our recruits have the chance to collaborate and connect with fellow employees on a global scale. We offer job shadowing, mentorship programs, talent development courses, and much more.Job CategoryProducts and TechnologyJob DetailsLooking for an opportunity to apply your research skills and expertise to improving employee experience and people strategy? Operating as part of the People Analytics ecosystem at Salesforce, the Research team is a small team of people research scientists and listening specialists working to help inform and transform Salesforce’s people strategy. In this newly created role, we’re looking for a people research scientist to join the team. As a Senior People Research Scientist, you will perform research, evaluations, and analyses into the employee experience at Salesforce. A key success indicator for this role will be the ability to provide timely, accurate, understandable, impactful, and actionable research insights to executives and senior leaders to help inform and transform people strategy. The ideal candidate will have strong quantitative skills, and demonstrated ability to apply organizational research methods and theories to create impactful research insights.On the team, we all get our hands dirty, and all love working with data to solve business challenges. Critical to our team’s trusted reputation is our ability to partner with and influence key stakeholders, design and implement the right analysis approach, and provide insights that can be easily understood and used by the business. We use data from multiple systems and sources to produce thoughtful analysis with little direct guidance and an understanding that the results may be iterative. Our point of view matters to our stakeholders, so the ability to illustrate complex analysis in a concise and simple fashion using tables, charts, graphs, and stories is important to our success. Most of all, the team succeeds by being curious.So are you ready to create new knowledge, help us think differently about how we do things, and help enhance the people strategy of one of the best places to work in the world?Responsibilities:

Conduct statistical analyses connecting multiple sources of organizational data to provide accurate, thoughtful, and actionable insights on people issues and strategies
Partner with teammates, leaders, and stakeholders across Employee Success (HR) and Salesforce to develop a deep understanding of current and emerging people issues and challenges, identify priorities for research, and execute impactful research projects, evaluations, and analyses
Assist in the redesign of our employee surveys and listening program by identifying and advising on which data/questions are most impactful/informative at different points of the employee lifecycle
Work proactively to identify emerging opportunities for research insight and propose new research projects or analyses
Provide subject matter expertise and advice on research design, data collection, survey/questionnaire design, and/or program evaluation to technical and non-technical audiences
Contribute to developing and executing on the team’s research agenda
Collaborate with data engineers to access data and explain data requirements
Collaborate with people analytics consultants to communicate findings to senior leaders and business partners
Communicate analyses and results, along with implications, to technical and non-technical audiences
Demonstrate impeccable ethics and judgement when dealing with confidential data
Share research insights both inside and outside the organization to become a thought leader in this space
Required Skills/Experience:
PhD in a field emphasizing people research in organizations (e.g., Industrial/Organizational Psychology, Organizational Behavior, Management, Organizational Development, or related degree)
Experience conducting empirical research in organizations, including research design, data collection, statistical analysis, interpretation of results, and making actionable recommendations
Demonstrated ability to translate business strategies, needs, and priorities into research questions or hypotheses, and select and apply appropriate research methods and/or statistical analysis approaches to provide actionable insights back to the business.
Demonstrated ability to conduct analyses using R Studio, R, or Python, specifically data cleaning, manipulation, basic descriptive analyses, mean difference testing, and range of regression analysis approaches.
Subject-matter expertise and experience in employee surveys/employee listening, applied organizational research methods, and program evaluation.
Deep expertise or specialization in at least two areas related to employee experience, such as but not limited to: leadership, learning and development, employee wellbeing/occupational health, employee engagement and retention, diversity and inclusion, teams, organizational change and development, employee motivation/reward/performance, or organizational culture.
Preferred Skills/Experience:
Expertise and applied experience in at least one advanced analysis technique such as multilevel modeling/HLM, latent growth modeling (LGM), time series analysis, NLP or topic modeling, ONA or other similarly advanced/novel/emerging analysis techniques.
At least 2 years experience in either an industry or applied research setting
Experience working in tech or other fast-paced industry setting
Demonstrated expertise and interest in questionnaire/survey design and employee listening approaches
AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org.Salesforce welcomes all.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.As a federal contractor, Salesforce is required to verify that all US-based employees are fully vaccinated against COVID-19. If you receive an offer and are unable to get vaccinated for religious or medical reasons, you may request a reasonable accommodation.


Lead Senior Data Scientist Developer Productivity

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryProducts and TechnologyJob DetailsThe Developer Productivity Experience (DPX) team owns the building of all production artifacts from 10s of millions of lines of source code.  In doing so, hundreds of thousands of VMs are spun up each day to build and test features and do final validation of the code before it is run in production.  At Salesforce scale, it is not just about checking everything but checking the right things at the right time to provide confidence in our software.   Our mission is to make developers more productive with a reliable system and actionable data. Examples of the questions we are trying to answer include:
You have 1.2 million tests and you only have time to run 1% of them in 1 hour. Which ones do you choose?
Using data on test executions, the source code, production stack traces, and how developers respond to failures (e.g. which test failure do they look at first), how do you assess the value of the test?
A complex piece of software is modified by hundreds of teams simultaneously, how can you assign a numerical value to the risk of a particular change?
Looking at production stack traces, how do you identify patterns and associate them with the source code?
You have hundreds of microservices that depend on each other and an integration test is failing. How do you create and assign bugs to the right team?
A Data Scientist with our team must possess both the AI/ML skills to improve the performance of our classifiers and recommender systems, as well as engineering skills to build and deploy a production-quality service. The ideal candidate:
Has in-depth knowledge of Artificial Intelligence and Machine Learning
Has a strong grasp of the foundational ML principles
Has experience coding in Java
Has experience coding in Python
Analyzes data using Jupyter notebooks
Core Qualifications
BS in Computer Science or a related field such as Applied Mathematics, Neuroscience, Electrical Engineering, Physics, etc.
AWS/SageMaker or GCP cloud experience
Either Java and/or Python proficient
Experience with Agile development methodology
Experience with containerization approaches
Preferred Qualifications
Advanced degree (PhD preferred) in Data Science or related field
Industry experience, or proven contributions to open source or competitions (such as Kaggle)
Experience with large-scale classification and recommender systems
Experience with large-scale Continuous Integration (CI) testing and analysis
Knowledge of MDLC (Model Development Life Cycle), to include Data Modeling, ETL, and Data Engineering
Practical experience in writing code or leading teams that leverage python data science libraries such as numpy, scikit-learn, pytorch, tensorflow etc.
Strong SQL optimization and performance tuning experience in a high-volume data environment that uses parallel processing.
Familiarity with business intelligence and data visualization tools (such as Tableau).
Knowledge of Static Analysis, Compiler Design, and Programming Languages a plus.
GCP platform experience is a plus.
Understanding of data governance practices such as metadata management, data lineage, and data glossaries is a plus
AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org.Salesforce welcomes all.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.As a federal contractor, Salesforce is required to verify that all US-based employees are fully vaccinated against COVID-19. If you receive an offer and are unable to get vaccinated for religious or medical reasons, you may request a reasonable accommodation.


Product Manager Data Science

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryProducts and TechnologyJob DetailsData Intelligence (Di) is the force that propels Salesforce into the 4th Industrial Revolution informing through trusted data and artificial intelligence the path forward to be smarter in every dimension. From financial forecasting, customer health, adoption insights to the utmost trusted and curated data, the Data Intelligence team is the unbiased partner to all data trailblazers at Salesforce.What You Will Do:As a Product Manager, Data Science, you will join a team of data scientists, data engineers and analysts who lead the agenda for building trusted data products at Salesforce. You will report to the Director, Data Science, and be responsible for the success of internal data products that influence decision-making across all levels within Salesforce: from our customer support agents to the C suite. In this role you will:
Own and drive all aspects of a product area from product vision to delivery to adoption. Translate product strategy into roadmap, detailed requirements and prototypes.
Feel comfortable switching from talking about the advantages of using random forests with data scientists to how we should achieve product-market fit with senior product leadership
Develop relationships with our customers (internal senior leaders, VP+) to build empathy for their needs, inform product strategy, and ensure their lasting success
Be known for your creativity in finding opportunities to make Salesforce even more successful with data driven insights and predictions
Collaborate with fellow data teams to ensure we’re working towards a cohesive customer solution in a large and complex environment
Partner with your engineering leaders to shepherd projects through all phases, from formulation to deployment.
Who You Are:
You have 3-5+ years of related experience
Entrepreneurial spirit focused on impact, balancing effort to value, and getting things done
Curious, creative, opinionated thinker, and charismatic storyteller
Have delivered machine learning- or analytics-related projects as a product or technical leader
Hands-on expert in analytics, comfortable with SQL, Python, R, or any other tool of your choice
Not afraid of project management in a matrixed enterprise environment
Enterprise software geek. Passion for the Salesforce product is a plus!
Perks
A company that cares and leadership team that gets it
Competitive salaries and generous equity
Excellent health insurance (health, dental, vision, fertility)
Generous, family-friendly wellness perks that include unlimited time off and six months parental leave
Offices in downtown San Francisco
We are open to remote locations! AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org.Salesforce welcomes all.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.As a federal contractor, Salesforce is required to verify that all US-based employees are fully vaccinated against COVID-19. If you receive an offer and are unable to get vaccinated for religious or medical reasons, you may request a reasonable accommodation.


Director Data Science

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryProducts and TechnologyJob DetailsWe are hiring a Director of Data Science to lead a global, cross-functional Data Science team focused on the evolution of the Slack product! As a leader on the Data Science team, you will deliver data and insights that drive decision-making, execution and investments for our product initiatives in a dedicated area of the business. This is a one of a kind opportunity that includes team buildup, foundation setup, and collaboration model establishment. Success requires analytical savvy, problem-solving sophistication, a willingness to roll up your sleeves and a dedication to make the highest impact possible. We are looking for someone that can think on their feet and thrives in a dynamic environment. Enterprise product experience, with an understand of the end-user will be key to this role.Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. If this sounds like a good fit for you, why not say hello?What you'll be doing:
Build and lead a high performing DS team, drive professional development goals of the team
Set a compelling vision and prioritize work based on product strategies and overall goals
Establish strong partnership with executive level stakeholders in identifying opportunities, prioritize roadmaps, define and implement execution excellence, and coach and mentor team members
Work cross functionally with the rest of PDE org to influence product strategies and roadmaps, help build and influence a data informed decision making culture
Synthesize learnings and insights.  Communicate a data narrative around product usage, tying this into the overall Slack strategy
Work with the team to define and manage the end-to-end process: scope projects, build pipelines and datasets, synthesize results, and communicate an informed recommendation. Jump in when needed!
Partner closely with product researchers, and when appropriate, align roadmaps and collaborate on projects to answer complex questions
Build partnership and alignment with our data cross-functional partners, including Data Engineering and Business Intelligence, to author and develop core data sets and empower operational and exploratory analysis
What you should have:
7+ years of experience in product data science in related tech industries
2+ years experience in a product DS managerial role
Ability to build clear and concise presentations, and communicate effectively at every level of the organization
Strong project management skills
BS degree in a quantitative field (e.g. Computer Science, Economics, Physics); An advanced degree (MS, PhD) preferred
A proven record of using data to drive product teams to release new features and achieve ambitious goals
Skill-Set/Technologies used daily: Python/R, SQL, data visualization tools, data pipeline tools, descriptive machine learning, experimentation and measurementFor Colorado-based roles: Minimum annual salary of $166,600. You may also be offered a bonus, restricted stock units, and benefits. More details about our company benefits can be found at the following link: https://www.getsalesforcebenefits.com/AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org.Salesforce welcomes all.As a federal contractor, Salesforce is required to verify that all US-based employees are fully vaccinated against COVID-19. If you receive an offer and are unable to get vaccinated for religious or medical reasons, you may request a reasonable accommodation.


Senior Lead Data Scientist

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryProducts and TechnologyJob Details***** If you are currently in college/ grad school or have less than 2 years of experience - please check out FutureForce job opportunities at Salesforce:https://www.salesforce.com/company/careers/university-recruiting/Salesforce, the Customer Success Platform and world's #1 CRM, empowers companies to connect with their customers in a whole new way. We are the fastest growing of the top 10 enterprise software companies, the World’s Most Innovative Company according to Forbes, and one of Fortune’s 100 Best Companies to Work For six years running. The growth, innovation, and Aloha spirit of Salesforce are driven by our incredible employees who thrive on delivering success for our customers while also finding time to give back through our 1/1/1 model, which leverages 1% of our time, equity, and product to improve communities around the world. Salesforce is a team sport, and we play to win. Join us!Salesforce has a number of teams hiring Product Analysts/Data Scientists with a variety of experience across, but not limited to, the following types of teams:
Pricing Intelligence
AppExchange
Infrastructure Analytics
Each team is made up of data scientists, engineers, growth analysts, and information management experts who are dedicated to driving product strategy with data-driven insights. Teams with executives, product managers, designers, developers, user researchers, marketers, and sales strategy team members across all Cloud businesses to discover new opportunities for growth and optimization, experiment with data, drive adoption, and deliver useful insights that impact product strategy.
As a Senior/Lead Data Scientist, you will be partnering with the Product, Infrastructure, and Engineering teams embedded in the Cloud businesses, as well as functional leaders who provide data and analytical infrastructure, identify and execute initiatives that benefit the whole Di and multiple Cloud businesses. The successful candidate will need to:

Partner with Senior Leadership (VP+) to understand their business and advise on strategic objectives, product direction, roadmaps, growth goals and retention strategies; as a Senior Analyst/ Data Scientist you will develop and own the relationships with senior stakeholders
Produce insights (e.g. performance drivers, retention analysis, behavioral personas) to accelerate business growth; this requires acquiring and cleaning data from multiple sources, structuring and building data models, analyzing to generate insights, and distributing them
Partner with the data engineering team and product engineering team to instrument, acquire, develop and structure data assets that are critical to measuring the success of our products
Own the delivery by working with data engineers and business intelligence engineers to turn insights into data products (e.g. data pipelines, algorithms, self-service dashboards)
Research, develop and implement automated algorithm deployment pipelines and processes
Evangelize and distribute data products that drive action or product improvement
Contribute to expanding the Salesforce data culture by growing new relationships, hosting learning sessions, integrating or designing new tools, and autonomously improving team processes

 Who You Are:

Analytical thinker with a passion for using data and scientific methods to solve business problems (5+ years of experience in product analytics or data science)
Proficient with common analytical programming languages e.g. Python; expert in SQL
Expert in end to end data development, including data model design, quality review, deployment and maintenance
Experienced in developing and deploying data science models, especially in the Cloud environment
Passionate about automating data that directly solving business problem
Charismatic storyteller ready to lead growth conversations with senior leadership
Lover of building relationships and collaborating in a cross-disciplinary environment.
Preferred Qualifications:
Technical education in Quantitative or Technical Degree program (Master’s degree or higher preferred)
Experience working with data technologies that allow effective storage and analysis of large amounts of data (e.g. Spark, Presto, Hive, etc.)
Experience in time series forecasting methods
Salesforce will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
For Colorado-based roles: Minimum annual salary of $82,400. You may also be offered a bonus, restricted stock units, and benefits. More details about our company benefits can be found at the following link: https://www.getsalesforcebenefits.com/.You can find other info there as well- including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more. Visit for the full breakdown!Open to Fully Remote, Flex (1-3 days/week in the office), or Office-Based (4-5 days/week in office) *LI-YAccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org.Salesforce welcomes all.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.As a federal contractor, Salesforce is required to verify that all US-based employees are fully vaccinated against COVID-19. If you receive an offer and are unable to get vaccinated for religious or medical reasons, you may request a reasonable accommodation.


Senior Data Scientist Growth

Want to help everyday Americans build wealth? Financial inequality is increasing and too many people are getting left behind. At Stash, we believe in the power of simplifying investing, making it easy and affordable for everyday Americans to build wealth and achieve their financial goals.
We’re one of the fastest growing fintechs in the U.S. and have had another record-breaking year. In 2021 we almost doubled our headcount and valuation. Our personal finance app makes investing easy and affordable; this year 6 million customers set aside more than $3 billion with Stash.
Prioritizing People is one of our core values and has been key to a healthy work-life balance and a great sense of fulfillment and inclusion. We employ a true people first - hybrid model. Live and work where you feel the most productive, whether that is in our home, in an office, or a combination of both. Anywhere in the US or UK.
Let’s solve complex problems and tackle wealth inequality.
Stash is looking for a Senior Data Scientist experienced with marketing and acquisition teams to build reliable, scalable, and performant data systems and software.
This role will partner closely with Growth Marketing to drive data driven decision making using attribution modeling, incrementally testing, and LTV modeling to build the financial advisor of the future.
We look for strategic thinkers and creative problem solvers with a bias for execution. You can expect to contribute code as well as product/feature ideas from the get-go.
If you are looking for a culture that encourages ownership, taking calculated risks, being data-driven and that values evidence over ego, we would love to hear from you!
What you’ll do:

Partner with Growth Marketing to drive data driven decision making using attribution modeling, incrementality testing, and LTV modeling
Collaborate with Growth Marketing on channel/campaign experimentation and A/B testing; opportunity size, plan and analyze tests
Build and maintain scalable data systems and infrastructure that empower our marketing, product and business teams to make better decisions
Develop ETL pipelines that enhance source data to create more actionable insights
Work with large datasets to help us better understand our customers and anticipate their needs through distributed computation techniques
Make rigorous statistical inferences from A/B testing on our product and customer segments

Who we’re looking for:

4+ years of experience; most recently working with marketing and acquisition teams, evaluating full value of specific channels
SQL proficiency, with an understanding of storing and querying data from Redshift, PostgreSQL, or similar database infrastructures
2+ years of professional programming work in Python, or similar
Experience with Pandas, R, or other statistical modeling frameworks
Comfort with distributed computing, specifically Pyspark, AWS EMR, and Airflow
Knowledge of Looker or similar front end analytics platforms
dbt, Data Engineering and ETL experience is a big plus!

#LI-JB1

#LI-REMOTE

At Stash it is our mission to help everyday Americans invest and build wealth. That includes people of all races,  genders, and abilities, so it is important to us to acknowledge and address the issues of inequality in financial services head on.
Diversity and inclusion are essential to living our values, promoting innovation, and building the best products. Our success is directly related to our employees and we believe that our team should reflect the diversity of the customers that we serve.  As an Equal Opportunity Employer, Stash is committed to building an inclusive environment for people of all backgrounds.
If you require any reasonable accommodations to make your application process more accessible please reach out to recruiting@Stash.com.
Invest in Yourself:

Equity & Stash Accounts [Invest, Retire, Custodial, Bank]
Flexible PTO
Learning & Development Fund
Work from Home Stipends
Parental Leave [Primary & Secondary]

Recognition:

BuiltIn’s Best Places to Work (2019, 2020, 2021)

Forbes Fintech 50 (2019, 2020, 2021)

Best Digital Bank, Finovate Awards (2020)

Tearsheet Challenge Awards, Best Banking Card Product - Stock-Back® Card, 2020

LendIt Fintech Innovator of the Year (2019 & 2020)

**No recruiters, please**


Data Science Co Op July December

Help shape the future of Data Science across Liberty!
As a coop in Liberty Mutual’s Office of Data Science (ODS), Enablement & Collaboration unit, you will work with a team of data science (DS) and machine learning (ML) experts to solve some of Liberty’s most challenging problems.
The ODS was created to provide additional centralized support and expertise to DS teams across the global organization. Our projects focus on key areas of interest to multiple teams, bleeding edge research and experimentation, common tool development, and establishing best practices to ensure the scientific community at Liberty is well-positioned to rapidly meet the challenges of modern industry.
If you are interested in making an impact on an entire culture at a Fortune 100 company, the ODS is the place for you!
Why you may enjoy working in the Office of Data Science:
As a centralized group, our project scope is vast.  Possibilities include:
Design new language models (NLP/NLU) to understand and build predictions or summaries from customer calls, claim notes, web chats, medical records, and beyond.
Detect property hazards from aerial imagery, customer photos, geospatial data, etc. using computer vision (CV).
Explore the advantages and limitations of privacy-preserving ML, to accelerate experimentation and better protect our customers’ data.
Push the boundaries in fundamental experimentation to boost and augment small-sample or rare-event data, transfer learning, and similar techniques.
Engage in theoretical research in collaboration with a top-tier academic institution (link) to shape the future of AI
You’re good at and offer:
Working knowledge of data science and machine learning techniques
Ability to exchange ideas and convey complex information clearly and concisely
Fluent in Python and other relevant programming languages
Job Specifications:
Reference:  2022-45026
Category: Data Science
Primary Location: Boston, MA
Additional Locations: Remote
Schedule: Intern/Coop
Salary: USD-$26.00-–-$32.00-/-Hour
Education Level: Bachelor’s Degree
 Travel: As Needed


Director Of Data Science

DIRECTOR OF DATA SCIENCE
Remote Role (US Preferred)
About Vinli
Vinli’s team is transforming the mobility industry via our next generation data intelligence platforms. Our passion is building products and services that unlock the true value of connected cars by showing drivers, passengers and organizations the potential hidden within their vehicles' data. We were founded in 2014 and are backed by some of the biggest names in transportation (Cox Auto, Samsung, Continental) venture capital (First Round Capital, Westly Group) and energy (E.ON). We are partnered with some of the largest players in the mobility industry – including ALD Automotive. Remote work has been a successful part of our cultural DNA since long before 2020. Future members of our team should be intellectually curious, self-starters whose work history demonstrates the courage to create and the maturity required to bring products to market.
About The Role
Vinli is looking for exceptional Data Science talent to add to an already amazing team.  You’ll have the chance to work with the latest big-data technologies and rich, diverse data sets in an agile, cloud-native environment.  As Director of Data Science at Vinli, you’ll lead a team working in partnership with a group of amazing engineers to transform your insights into impactful products and beautiful analytics experiences for our customers.
You should have a background in a quantitative or technical field,  experience working with large data sets, and experience in data-driven decision making. There will be many opportunities to forge your own path and demonstrate individual excellence here at Vinli, all while pulling together with a team who is ready to support you and eager for your help. Plus, we have a lot of fun together!  Join us in creating the future of mobility.
Responsibilities
Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our existing and potential future customers interact with automotive data, tangential data sets, and Vinli analytics productsMentor and guide team members on project work and take responsibility for analytics project deliverablesPartner with Product and Engineering teams to solve problems and identify trends and opportunitiesInform, influence, support, and execute our product decisions and product launchesSupport Vinli’s data science operations in four key ways:Product Operations: Forecast and propose product team goals. Design and evaluate experiments (A/B Testing). Monitor key product metrics. Explore & understand root causes of changes in metrics. Build and analyze dashboards and reports. Build key data sets to empower operational and exploratory analysis. Evaluate and define metrics.Exploratory Analysis: Perform research to develop an understanding of ecosystems, user behaviors, and long-term trends. Identify new levers to help move key metrics. Build models of user behaviors & segmentation for analysis or to power production systems (for example, Crash Detection).Product Leadership: Influence product teams through presentation of data-based recommendations. Communicate state of business, experiment results, etc. to product teams. Spread best practices to analytics and product teams. Write case studies to help promote Vinli as a thought leader in the data science & analytics industry.Data Infrastructure: Build systems which truly scale by leveraging the latest big data architectures. Automate analyses via high performance ETL pipelines in SQL and Spark.
Required Qualifications
Master’s degree in statistics, mathematics or related analytical discipline preferred (PhD a plus)Proficiency in statistical models and thinking (probability, regression, segmentation)High Proficiency in SQL, Python, and SparkProven ability to train/mentor team members in utilizing best practices for software development as well as data science implementationsExperience with applied statistics or experimentation (i.e. A/B testing) in an industry setting Experience communicating the results of analyses to leadership teams to influence the strategy
Preferred Qualifications
Experience in in the automotive & insurance industries and/or experience working with automotive dataPrior experience in price optimization and consumer segmentation for enterprise products2+ years experience in a fast-paced startup environment
About Our Ideal Candidate
You thrive in challenging environments that require collaborative problem solving.You prefer to spend your time coding and collaborating, not in meetings.You feel pride & responsibility seeing the product you worked on meet the real world for the first time.You are capable of independently prioritizing your duties and still work well with a team.You can both accept and provide thoughtful, respectful constructive criticism.
Benefits
Vinli offers competitive benefits such as health care* (including medical, dental, and vision) and a highly flexible PTO policy. In addition, we will work with you to support individual career development opportunities such as conferences, advanced training, and certifications. Vinli transitioned to fully remote operations in March 2020, but we have a longstanding history of operating & supporting successful remote teams to drive a productive, professional, and enjoyable remote work culture.
*Health care benefits apply to US employees only. Alternative UK/EU related benefits available, details provided upon request.
EEO Policy Statement
We are an equal opportunity employer. We strictly prohibit unlawful discrimination or harassment of any kind, including discrimination or harassment on the basis of race, color, national origin, ancestry, religion, veteran status, age, pregnancy status, sex, gender identity or expression, sexual orientation, marital status, mental or physical disability, medical condition, or any other characteristics protected by law. We also make all reasonable accommodations to meet our obligations under laws protecting the rights of the disabled.
Vinli Core Values
Integrity – Doing what you say you will do at Vinli is our way of building trust among our team members, partners, investors and vendors.  We believe that maintaining integrity requires an openness and empathy in sharing goals and challenges with others. Drive to Innovate – People at Vinli don’t just love to learn, they feel compelled to use their knowledge to make our Company and the world a better place.  We believe in learning from our mistakes and always challenging ourselves to innovate - from the biggest product decisions to the smallest processes. Joyful Work Environment – Loving where you work isn’t about ping pong tables and free snacks.  It’s the feeling that you wouldn’t want to be on a project with any other team.  It’s the feeling that you can get creative energy just by showing up to work.  It’s the feeling that your entire team respects your life away from the job and understands how work impacts it.  At Vinli, we believe in building camaraderie and joy in our environment by supporting and encouraging each other every day.


Data Scientist Advanced Analytics

Description
  Hybrid:   This position does not require an employee to be on-site full-time to perform most effectively.  The employee’s role enables them to work at a GM facility or off-site as frequently as needed or desired.
 –This position requires an employee to be onsite   1-4 times per year
 Staff Data Scientist
The Applied Analytics COE team is responsible for developing analytics-driven solutions to help GM Organizations achieve their business goals. The Staff Data Scientist will work as a member of a multi-disciplinary team of various experience levels that will be driving solution design, development, and deployment of analytic models in support of business facing analytic groups.  The team is responsible for both advanced analytics strategy and applied, project-based solutions, focusing on the company’s most critical business areas.
Responsibilities include the following:
 Work as a member of a cross-functional team to propose and implement high-impact data and analytic solutions that address business challenges across a variety of business units   Apply Data Science and Modeling techniques to drive data driven decision making and solve complex business problems:   Create breakthrough solutions, performing exploratory and targeted data analyses   Build predictive models and machine-learning algorithms   Analyze large amounts of diverse information to discover trends and patterns   Undertake preprocessing of structured and unstructured data   Monitor and sustain model effectiveness   Combine models through ensemble modeling   Present complex information using data visualization techniques     Plan and execute projects, including direction and oversight of technical work of Data Scientists and Senior Data Scientists   Work with diverse technical teams and provide data and analytic oversight to ensure project deliverables fulfill business needs and timing   Identify long-term technical innovations and collaborate with the Analytics Research COE   Act as a mentor to junior level Data Scientists and as an expert level resource for the team
Skills & Qualifications:
 Minimum seven years of experience developing, deploying and monitoring performance of large analytic data sets and statistical forecasting models   Minimum seven years of experience utilizing several of the following toolsets:    Scripting Languages:  Python or R   Machine Learning Libraries: TensorFlow, Scikit-Learn, Spark ML, or equivalent   Big Data Tools:  Hadoop, Spark, SQL and NoSQL Database experience   Data Visualization:  Tableau, Power BI or similar     Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality   Strong listening and communications skills   Highly collaborative work style   Ability to evaluate the big picture and solve business problems rather than focusing solely on metrics
Education and Experience:
 PhD. or Master’s degree in Mathematics, Statistics, Computer Science, Operations Research, Engineering, Economics, Data Science or other quantitative field   Preferred academic or work experience in a data-intensive field or industry
Additional Description
 Required Qualifications:
  4+ years experience solving analytical problems using quantitative approaches      Comfort manipulating and analyzing sophisticated, high-volume, high-dimensionality data from varying sources, including both structured and unstructured data      The ability to demonstrate proficiency in the following areas: classification, regression, similarity matching, clustering, co-occurrence grouping, profiling, link prediction, dimension reduction, tensor decomposition and regression, causal inference and etiology      Deep knowledge and experience in geographic information system (GIS) such as GIS data representation, coordinate system projection, geostatistics, geocoding and cartography.      A strong passion for empirical research and for answering hard questions with data      A flexible analytic approach that allows for results at varying levels of precision      Ability to communicate sophisticated quantitative analysis in a clear, detailed, and meaningful manner using data visualization techniques      Proficiency with Python, SQL, and / or R      Experience working with large data sets, experience working with distributed computing tools (Map/Reduce, Hadoop, Hive, etc.) and Machine Learning pipelines (Spark, DASK, Argo, etc.) a plus      Cultivates open, inclusive culture that supports learning and encourages collaboration.
 Education:
  Master's degree, or equivalent experience     PhD preferred in Mathematics, Computer Science, Electrical Engineering, Signal Processing, or related quantitative areas
 This position may be filled with a mid or senior level candidate.

About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Benefits Overview
The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;• Company and matching contributions to 401K savings plan to help you save for retirement;• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; • Tuition assistance and student loan refinancing;• Discount on GM vehicles for you, your family and friends.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers.   We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
Equal Employment Opportunity Statements
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


Data Science Manager

Description
The Applied Analytics COE team is responsible for developing analytics-driven solutions to help GM Organizations achieve their business goals. The Applied Analytics Manager will lead a multi-disciplinary team of various experience levels that will be driving solution design, development, and deployment of analytic models in partnership with CDAO business facing analytic groups.  The team is responsible for both project-based solutions and applied analytics strategy, focusing on the most critical business needs.
Responsibilities include the following:
 Partner with client facing analytic teams and the business to identify high impact opportunities   Lead a cross-functional team to implement analytic solutions that address business challenges across a variety of business units   Collaborate with internal organizations to identify, frame, develop, and execute analytics projects successfully.   Create an environment that will not only support but encourage individual excellence, Workplace of Choice engagement and diversity, equity and inclusion.   Identify long-term technical innovations and collaborate with the Analytics Research COE

Additional Description
Skills & Qualifications:
 Minimum 10 years of experience successfully leading data and/or decision science technical teams   Demonstrated expertise in one or more of the following: digital services, aftersales, revenue management, sales & marketing, product development, portfolio planning, quality, supply chain, purchasing, or market research   Strong project management skills with demonstrated successes delivering in an agile manner   Excellent team player with strong interpersonal skills   Excellent oral, presentation, and written communication skills   Ability to train, mentor, and evaluate the technical capabilities of others   Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality   Ability to evaluate the big picture and solve business problems rather than focusing solely on metrics
Education and Experience:
 Master’s Degree or Ph.D. in Data Science, Analytics, Operations Research, Engineering, Statistics, Economics, Computer Science, Applied Mathematics or other quantitative field

About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Benefits Overview
The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;• Company and matching contributions to 401K savings plan to help you save for retirement;• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; • Tuition assistance and student loan refinancing;• Discount on GM vehicles for you, your family and friends.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers.   We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
Equal Employment Opportunity Statements
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


Data Science Contractor

About Rhythm:
Rhythm is a renewable energy and technology company empowering you to take control of your budget and your carbon footprint.  We combine energy market expertise with technology, design, and data science to create best-in-class products and services that are simple, delightful, and seamlessly integrated within the rhythm of your life. Our mission is to upend the energy status quo by setting a new standard of service excellence and customer partnership. We are a mission-driven, results-oriented group of engineers, businesspeople, designers, and artists who love solving tough problems, all while making a positive impact on our communities.
Our team has a variety of Data Science project opportunities for independent contractors.  Depending on your skills and experience, we need help with projects such as:

Building models to understand how energy is generated and consumed in a rapidly changing world of renewables
Building models to understand our customers and their energy behaviors
Integration of different models, ensuring insights can be delivered repeatably and reliably to make business decision

Relevant Qualifications and Experiences:

Strong working knowledge of Python, including relevant data science tools such as pandas, numpy, sklearn, tensorflow, etc.
Familiarity with pyspark, Databricks, or other mechanisms for big data manipulation and model training are a big plus
Strong analytical skills and ability to translate a business problem into a conceptual model and a resulting Python implementation
Familiarity with a modern cloud-based ecosystem as used to manage data, train and deploy machine learning models (e.g. AWS, Snowflake, Redshift, Databricks, MLflow, etc.)
Experience working on energy, finance, or e-commerce problems is an advantage

We are a remote-enabled company that utilizes a cloud-only tech stack, making it easy for you to contribute from anywhere.  We will consider qualified remote candidates willing to work aligned to our time-zone (central US) and are proficient in technical communication in English.


Ml Research Education Intern

TruEra, Inc. is an early stage startup commercializing research in explainable machine learning. We are working to help humans understand ‘why’ machine learning models behave the way they do in order to address algorithmic bias and discrimination and to help people make better decisions with AI. Our team has a strong research DNA with ties to CMU and Stanford, and engineering DNA with infrastructure and machine learning engineers from Google, Microsoft, and enterprise startups.

We’re looking for a Machine Learning intern for the Summer of 2022 to join our engineering and research team. Part of the excitement around trustworthy AI is that it is a nascent field – so the creation and education of best practices is critical. The ML Research & Education intern would help us pioneer and scale our education efforts. Given interest, there is opportunity to work alongside the team on new directions around trustworthy AI including but not limited to performance debugging, fairness, explanations, and stability.

What to expect:

Learn about the rapidly evolving field of explainability (XAI) and how AI is applied in industry settings.
Solve exciting and challenging technical problems related to explainability and trust.
Create and share best practices and guidance on ensuring the trustworthiness and quality of ML models.
Experience what it is like to be a part of a fast-growing, early startup.

Welcomed Qualifications:

Past internship/work experience with machine learning frameworks (scikit-learn, Tensorflow/PyTorch/Keras etc.) and other data science tools.
Research experience in machine learning or related field.
Excellent quantitative, analytical and communication skills.

** We have listed some responsibilities and experience guidelines below, but do not consider these as set in stone—talent and passion for what we’re working on are the most important.


Senior Data Scientist Marketing

About Us:
ChowNow is unique among tech startups in the restaurant space. We power branded online ordering systems for independent restaurants across North America – via websites, Google, Instagram, and through branded iOS and Android apps – and we do it all for a reasonable monthly fee regardless of order volume. We operate this way because of our belief in being fair, sustainable, and equitable with our restaurant partners. And the same goes for our workplace.

Diversity, teamwork, and mutual respect are among our core company values. And we pride ourselves on giving our teams plenty of opportunities to make their mark. To date, we’ve created over 20,000 apps for our restaurant partners – something that’s never been done before in our category. And as we expand to new markets, further spreading the word about the ChowNow difference, those opportunities to create, build, and grow will only increase. If this sounds like the kind of workplace, and the kind of mission, that appeals to you, we’d love to talk.

Together we can preserve neighborhood flavor, one restaurant at a time.

About the Position:
As a member of the Team DnA (Data and Analytics), you will be responsible for developing rigorous data analyses to help inform and optimize decision making, processes, and strategies. You will define and operationalize the tracking of both company-wide and department-specific KPIs, identify patterns, and recommend actionable insights to improve how we build products and grow the business. In addition, you will partner with key functional teams and collaborate with the Data team to build a world class data platform, tools, insights, models, and experiments to power data-informed decisions, drive impact, and build the future of Data, Analytics, and Data Science at ChowNow.

Reports to: Lead Data Scientist, Marketing

This is a remote position based in one of our employee hubs of Los Angeles, San Francisco, Austin, Atlanta, NYC, Kansas City, or Chicago. Occasional travel to one of our Hub offices may be required once travel restrictions are lifted.

Within 30 days, you will:

Progress through our Ramp Camp (ChowNow’s New Hire Onboarding Experience)
Familiarize yourself with the company’s data warehouse and analytics tools
Meet with key stakeholders and DnA team members to better understand our vision and opportunities to make an impact with data, analytics, and data science

Within 3 months, you will:

Define and analyze company and department-specific KPIs, and guide the related instrumentation and data collection
Communicate results, insights, and recommendations to key decision makers
Deliver your own data-driven research, assessment, and recommendations to an executive audience
Partner with key stakeholders to identify opportunities to improve processes, and build systems and tools to enable scalable analysis, reporting, and data quality

Within 6 months, you will:

Identify, design, and execute on analytics projects aimed at finding the best solution to critical business problems
Provide strategic data insights to help cross-functional leaders better understand and improve acquisition and success of restaurants and diners
Effectively communicate learnings and provide recommendations to impactful and strategic decision making
Build automated, scalable solutions to enable advanced exploratory and self-service analytics

You Should Apply If:

You are effective at collaborating with cross-functional teams and communicating with leadership across various departments
You are able to articulate findings clearly and concisely, creating data-driven content and stories that directly provide strategic insight and business value
You have experience advising SaaS B2B or B2C Marketing teams using both paid and earned media on strategies to optimize activity for efficiency, conversion, upsell, and retention
You are excited about working on projects like segmentation, targeting, marketing measurement & optimization of LTV:CAC, experimentation, lead-scoring, and market assessments
You have experience with paid marketing, attribution and customer journey analytics
You have worked with product or site analytics tools such as Amplitude, Heap, and/or Google Analytics and have worked with Salesforce data before
You have experience with Customer Data Platform (CDP) & Marketing Automation tools such as mParticle, Segment, Iterable, Marketo, or HubSpot,
You have experience with Mobile Measurement Platform (MMP) tools such as Branch or AppsFlyer
You have strong SQL skills and experience with relational databases like Snowflake or Redshift
You have strong programming/statistical analysis experience in Python and/or R
You have an ability to surface insights through advanced data visualization using Mode Analytics, Tableau, Looker and/or other similar Business Intelligence tools

About Our Benefits:

Competitive Salary
Ongoing training and growth opportunities.
A "Best Place to Work" winner multiple times where we focus on creating a great employee experience.
A remote-first culture and  up to $450  office equipment reimbursement to enable you to do your best work by setting up your home office.
Rock solid medical, dental, and vision plans.
Mental Health Coverage - we offer several programs to support your mental health and wellness goals.
3 weeks paid vacation; paid holidays; we expect you to work hard, but still enjoy your personal life
7  weeks of baby bonding time for all new parents (within the first year of birth or adoption), 8 Weeks of Paid Pregnancy Leave.
401(k) Matching
Employer-contributing student loan assistance program.
Commuter benefits (including Uber Pool).
Employee Stock Incentive Plan.
Pet insurance for your fur babies
Quarterly Industry Speakers Series.
Quarterly Tech Events (Women, LGBTQ, Diversity, Inclusion).
Consistent & fair leadership: we’ll share info, set clear goals, show you respect, and treat everyone fairly.
Enough freedom to spread your wings while still holding you accountable.
Fully stocked kitchen and cold brew on tap in our satellite offices

ChowNow takes the health and safety of our team seriously and requires all employees to be fully vaccinated for COVID-19 prior to starting work.   We strongly believe that this is the best way to protect our employees, families, clients, and communities. All requests for accommodations will be considered.

As one of ChowNow’s core values, “Celebrates Diversity”, we are committed to an inclusive and diverse work environment. ChowNow is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.  We are committed to developing a barrier-free recruitment process and work environment, if you require any accommodation, please email us at hiring@chownow.com and we’ll work with you to meet your accessibility needs.

Read here about your California privacy rights.

#Li-Remote


Lead Data Scientist Finance

View All Jobs
Moving is one of the most universally relatable problems. Everyone’s done it -- and everyone knows how frustrating and painful it can be. Updater is solving that pain at scale. We’re a well-funded and growth-focused company that helps over 25% of all households in the US move annually, and we’re growing quickly.
On the Data team, our mission is to use data to improve business outcomes. We partner closely with stakeholders across the company to democratize data-driven decision-making and bring data to bear on Updater’s toughest problems. We play an active role in all major business decisions, and originate impactful initiatives that help build the next-generation moving experience we’re creating for hundreds of millions of Americans!
As a Lead Data Scientist, you’ll lead business performance forecasting and opportunity evaluation across Updater.  You’ll partner with fellow data scientists on the Data team, our FP&A team, and other key leaders to develop a deep understanding of the levers that move our business, craft high-confidence forecasts of Updater’s growth, and rigorously evaluate new initiatives under consideration by our executive team.  You’ll have the unique opportunity to significantly impact the entire organization in developing the foundation for data science to accurately predict potential revenue generation & inform how those forecasts are impacted by business decisions.  You’ll also help build our Financial Data Science function from the ground up.
Learn more about our Data team

How we built a scalable data platform architecture with Airflow and dbt (part I and part II)

Updater Data and Product teams speak at Optimizely user conference about how Data and Product teams can collaborate to maximize experiment velocity
Podcast on mentoring featuring Updater VP of Data Chris Byington
Updater partners with National Association of Realtors to provide real-time relocation insights

About the Role

Establish Finance Data Science function at Updater including defining forecasting methodologies, identifying – and filling – technology gaps, and evangelizing a culture of rigorous performance forecasting across the company.
Forecast business performance across Updater to inform internal and investor-facing forward-looking statements.
Bring deep understanding of Updater’s business to bear to identify novel opportunities to unleash even greater growth for our company; partner with stakeholders to bring those opportunities to life.
Advise fellow Data team members and stakeholders alike on opportunity assessment of upcoming initiatives’ likely impact on business performance.

About You

Empathy: you strive to see the world from the point of view of your stakeholders and our business in order to anticipate needs -- bonus points for being able to incept stakeholders before they themselves know what they need.

Humility: you have an opinion, but aren’t afraid to be proven wrong, and are open to suggestions on what tool or technique is best to most efficiently solve a problem.

Strong communication: you’re as comfortable talking with our VP of Finance as you are with our Executive team.

Comfortable with ambiguity: you’re used to being asked open-ended questions and whittling them down to questions that can be answered by hard data.

5+ years of experience as a Data Scientist in a fast-paced work environment; proven ability to drive impact through forecasting.
Strong command of the fundamentals of statistics.
Strong command of SQL.


Staff Data Scientist

Clearco is the world’s largest e-commerce investor. Our equity-free capital products intend to help businesses scale while maintaining 100% ownership and control. Clearco is growing and we’ve already been able to fund 7000+ businesses in 7 countries. Clearco has funded 25x more female founders than traditional Venture Capital and is removing barriers to access capital for underserved groups. The Clearco vision is simple: remove the obstacles between brilliant ideas and brilliant businesses.
In order for us to execute on our vision, we are looking to add a Staff Data Scientist to the Investments Division of our Data Science team to lead and build data driven investment theses and deploy those theses across our $2B capital fund.
Application deadline: ongoing
Compensation + Benefits:
Competitive Salary + Stock Options + Flexible PTO + Mental Health Support (Inkblot & EAP) + Medical + Dental/Vision + Work From Home Stipend + Digital Nomad Program + Remote-first work environment + Toronto office available (but not necessary) + External Learning & Professional Development!
Responsibilities:

Ownership of multiple machine learning & statistics driven investment products end to end and be expected to maximize capital deployment and identify opportunities for increasing efficiency.  This will include leading development for design, architecture, deployment and maintenance.
Close collaboration with every member of the Data Engineering and MLOps Teams, along with fostering relationships with business and product teams to develop and improve our time-series forecasting models for use in the e-commerce space.
Integration with all functions of Clearco, ranging from core Engineering team to the marketing team.
Constant communication with the team to understand what features of your platform need to be built out, and helpful coaching of junior team mates through bug fixes when necessary.
Scoping and actioning of business needs with speed and accuracy, and then independently leading on their execution.

What we look for:

Great communication skills. You must be motivated to lead and mentor a small team of other data scientists.
Desire to help founders. We take a strong founder first stance on this team.
Be self sufficient when it comes to execution. Figure out how to solve problems and make things happen, not waiting for help or permission.
On this team, we maximize learning. You will fail if you're not learning fast enough.
Comfort working in a high growth, constantly changing environment.
Heavy bias towards action. Ability to solve problems end-to-end on your own. You will implement ideas and experiments on your own with minimal support.
Have experience working in a senior data scientist or software engineering role, you are an expert when it comes to coding and you’re ready to roll up your sleeves to get the job done!
Have a strong business sense, you can foresee potential issues and solve them quickly
Demonstrated ability to collaborate effectively across multiple teams.
Strong interest in building businesses within e-commerce and fintech.

Technical Requirements:

Ideally, you have worked on 4 or more different production level machine learning projects in your career in a professional setting for at least 8 months each.  This means you probably have between 3 years and 8 years of experience.

Bonus points for distributed architectures heavily reliant on time-series data.

Have 2+ years of experience working with industry standing Python-based ML frameworks (Tensorflow, sklearn, xgboost, etc). Potentially, you have built custom extensions of standard implementations of ML these frameworks in a professional setting.
Understanding of how machine learning can drive business decisions and value and can point to areas where you have demonstrated the ability to leverage machine learning in this manner in a professional setting.
Comfortable in a fast pace and changing roadmap team that builds the plane after jumping off the cliff.
Desire to be a part of the world’s premier venture capital firm for deploying data driven investment theses.
Comfortable working with a wide array of data integrations and 3rd party vendors to create machine learning products for maximizing business value and supporting our vision and roadmap.
Skilled in advanced use cases spanning technologies including Python, SQL, Snowflake, Kubernetes and pipeline management/orchestration tools (Eg. Airflow, Argo).
Demonstrated experience or working knowledge of Google Cloud Platform (GCP), with professional experience on at least one cloud platform (Eg. Azure, AWS, GCP etc.).

Clearco is an equal opportunity employer. We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives to apply. At Clearco, we’re committed to developing and upholding an inclusive, transparent, and comfortable environment for all. We create a space where every voice, perspective, and idea is heard and acknowledged. We embrace differences, and know that our diverse team is our strength and what drives our innovation.
Clearco is committed to developing a barrier-free recruitment process and work environment. If you require any accommodation, please let us know and we’ll work with you to meet your accessibility needs.


Senior Data Scientist

about the senior data scientist, decision sciences role:soona is looking for our first data scientist who will be part of the foundational team helping us build a world-class data organization. you will work closely with the data engineering, analytics, and engineering teams to create and maintain machine learning models to help optimize our business decisions. to be successful in this role, you will learn how to build incrementality and uplift models to optimize marketing spend, segment customers so that we can better fill their needs, and forecast business metrics so that we can plan for the future. this is a full time position that will report directly to the senior director of data science.about soona:soona makes it possible for brands to create professional photo and video starting at $39. our studios give customers a playground for creating their content and our online platform makes it possible for any product company in the world to experience a remote shoot. we are creating a fast casual content revolution!soona is currently supporting a remote work environment for this role; however, we are currently looking to hire in these states only: California, Colorado, Illinois, Massachusetts, Minnesota, New Jersey, New York, Texas and Washington with requirements to be able to work in mst or cst time zones. for flex hybrid work environments, we also have office spaces in Denver, Colorado + Minneapolis, Minnesota, if that’s your thing.about tech at soona:at soona, we’re focused on building a world-class engineering and data organization. we’re developing a highly-scalable platform for real-time customer engagement with our studio creatives and technology that optimizes the content they create. our typical engineering and data projects blend SaaS with e-commerce, providing opportunities to work on everything from app engineering and cloud/server architecture to computer vision and logistics/routing optimization. our tech stack consists primarily of ruby on rails, javascript vue, and python. we pride ourselves on our culture of innovation, community engagement, technical mentorship, and caring for the individual.an ideal candidate can: access data from our data warehouses to create datasets for model building train valuable machine learning models that impact business decisions create internal apps that serve up model outputs and predictions in real-time build systems to continuously monitor model performance and retrain with new data create and maintain telemetry/observability systems to monitor your app performance deliver quality code in an agile framework that ships to a production environment correlate work to business KPIs and be accountable for improvement targets effectively communicate with data engineers/analysts to understand requirements effectively communicate with engineers and devops/sre to follow system standards effectively communicate with stakeholders to gather requirements and explain outputs has experience in: effectively communicating and coding in a remote work environment general machine learning methods, bayesian inference, and time series forecasting working with marketing, sales, and finance teams and understanding their target KPIs python – the core language of the data organization sql – optimizing query performance on OLAP data warehouses aws or equivalent cloud environment docker, airflow, dbt, flask/fastAPI experience is preferred startup experience is preferred we can offer: starting salary: $120,000 - $160,000 (depending on experience) stock options in a booming startup benefits & perks + unlimited pto + incredible culture  really badass headshots  #LI-Remote


Senior Data Scientist

At Built In, the health, safety and well-being of our employees and of our communities is a top priority. Due to the effects of COVID-19, we have decided to manage our entire business remotely until further notice. HQ-based employees will temporarily work from home until it is safe to return to our office. As we continue to grow, we are excited to be hiring for all open roles and look forward to meeting with qualified candidates in a virtual setting. For anyone who joins our team (yay!), your onboarding experience will also be conducted virtually. Thank you for your interest in Built In and be safe!
Hello, We’re Built In

What We’re Up To
We’re building the largest platform for tech professionals globally. Monthly, millions of professionals visit BuiltIn.com from across the world. We’re the only platform they need to stay ahead of tech trends and news, develop their careers and find opportunities at companies they believe in.
Our 1,800 customers include innovative companies of all sizes, from exciting startups to companies in the Fortune 100. To attract our audience of skilled professionals, they trust us to tell the stories of their cultures and share their job opportunities. This helps them hire the industry’s most sought-after professionals locally, nationally and remotely – ultimately  contributing to the industry’s ability to innovate a better future.
What You’ll Be a Part Of
Working at Built In is the chance to help shape a fast-growing company. Whereas we served eight tech hubs at the start of 2021, we entered 72 new markets across the U.S. by year’s end. Global plans are in the works. With venture funding of $30 million to date, we’re expanding not just our geographic footprint but our products and technology.
With the launch of e-learning opportunities for users, we’ve made Built In even more valuable for the professionals who already trust us with their careers. And as we grow into the leading SaaS product for employer branding, we're using the latest technologies to serve customers in new, exciting ways — and you’ll contribute to that.
You’ll also be a part of changing the lives of professionals like you, ambitious people with a passion for tech and love of learning. As a result, you’ll understand the impact of your work in a deeply personal, especially meaningful way.
We're looking for a Senior Data Scientist
We’re looking for a Senior Data Scientist to drive personalization and ML based services. In this role, you’ll work closely with Product to develop the foundation of Built In’s data science practices as part of the data engineering team. This is an exciting opportunity for someone who is eager to solve data problems of varying complexities with a focus on making our data actionable, and influencing the experience of our users.
How you’ll contribute

Develop and test a wide variety of algorithms and models that improve the platform experience for both users and customers
Use Python, Jupyter, and a variety of database systems on a day-to-day basis and work with our engineers to build real-time APIs that work with your findings
Partner with leadership and stakeholders to identify new applications for data science across the business
Partner with analytics team on solutions for data validation, anomaly detection, and data enrichment within our data warehouse (Snowflake, DBT)
Educate the organization on new analytical approaches to drive business decisions

What you need

4+ years of hands-on experience in data science, ideally with a focus in building machine learning solutions (NLP, recommendation systems, customer segmentations)
Experience with Python ML ecosystem - pandas, numpy, sklearn, etc.
Proficiency with relational databases (SQL) and unstructured & semi structured data
Experience with cleaning and vetting new data sources as well as troubleshooting data integrity issues
Strong communication skills with demonstrated ability to convey technical ideas to non-technical audiences
An understanding of A/B testing and sophisticated statistical techniques (hyperparameter tuning, feature importance)
Ability to work independently and autonomously, while also learning from and teaching others in a highly collaborative and interdependent data engineering team
Curiosity and desire to dig into analytical questions and identify opportunities for improvement to our data infrastructure

Impress us even more

Experience with ML Ops, including deploying models as services in a production environment and monitoring model drift and performance
Working knowledge of AWS infrastructure and data tools (S3 buckets, ECS tasks, Sagemaker, OpenSearch)
Experience working with and optimizing search algorithms

What We Value
We’re revolutionizing tech recruitment. So we question everything, because the best answers sit just to the right of a question mark. That’s our heritage as a disruptive company — as a company whose future depends on our capacity to innovate with a sense of drive, purpose and urgency. If you join Built In, you will work from this set of values:

Be Inclusive, Always. We’re committed to a culture where all people are respected, have a say and can be their whole selves. We will uplift and advocate for one another. Always.

Be Unreasonably Passionate. Our passion is borderline obsessive, and we’re ok with that. No one ever built anything great on a “meh.” We work with outsized passion to fulfill our mission.

Be Humble. You don’t have all the answers. Luckily, you don’t have to. Don’t worry about being right. Be humble instead.

Stay Curious. Curiosity is a springboard to the future. It can transform the wisp of an idea into a breakthrough. We ask “what if.” We work with wonder. It’s how we innovate.

Lead with Solutions. Question everything. But offer solutions as you do. Raise issues. But propose a few answers. For every hole you poke, offer a way to patch it up.

Own the Result. We have no time for blame or shame. When you stumble, own it, learn from it + get back to business.

Do More. Do more than your job description. Take initiative. Take charge. No job is beneath you, and no job is too big. Be a leader and do more — do whatever it takes.

Be Inclusive, Always
Research shows that women and other marginalized groups tend to apply to roles only when they check every point on a job description. We encourage you to apply if you meet the majority of qualifications and this role is aligned with your career trajectory.
Built In is an equal employment opportunity employer.  Qualified candidates are considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, military or veteran status, disability, or any other characteristic protected by applicable law.
Built In is guided by principles of diversity, equity and inclusion (DEI). We are committed to this work over the long-term, but here’s some of what’s in place today:

We have five thriving ERG groups: Built In For The People, BuiltOut, United We Parent, Women United in Tech and Built In Tribe.
We have a dedicated Director, HR + Inclusion who oversees our DEI roadmap, which provides our annual metrics, goals and initiatives.
We are proud to be led by a woman CEO and founder, and that more than half of our managers and employees identify as women

NOTE: BUILT IN NEVER CONTACTS JOB APPLICANTS VIA TEXT, MESSENGER OR OTHER SIMILAR APPLICATIONS. BE AWARE OF PHISHING AND SPOOFING SCAMS, BOTH VIA TEXT AND EMAIL. ONLY RESPOND TO EMAILS FROM BUILTIN.COM


Principal Data Scientist

About Figure
Figure is transforming the trillion dollar financial services industry using blockchain technology.
In three short years, Figure has unveiled a series of fintech firsts using the Provenance blockchain for loan origination, equity management, private fund services, banking and payments sectors - bringing speed, efficiency and savings to both consumers and institutions. Today, Figure is one of less than a thousand companies considered a unicorn, globally.
Our mission requires us to have a creative, team-oriented, and supportive environment where everyone can do their absolute best. The team is composed of driven, innovative, collaborative, and curious people who love architecting ground-breaking technologies. We value individuals who bring an entrepreneurial mindset to every task and will embrace our culture of innovation.
Every day at Figure is a journey in continuous learning yet a daily focus on getting work done that makes a difference. Join a team of proven leaders who have already created billions of dollars in value in the FinTech space!
Forbes America’s Best Startup Employers
Forbes Top 50 Blockchain Companies
Figure Series D Announcement
About the Role
Each member of the Data Science team plays an integral part of what we are building at Figure.  We rely on advanced techniques in machine learning, cloud platforms and big data to drive decisions across the organization. If you are interested in working with an impressive team of Data pros who collaborate and challenge each other, and want to solve interesting problems to propel the company’s growth, apply now!
What You’ll Get To Do

Develop custom models and algorithms to apply to large datasets, as well as, processes for monitoring and analyzing their performance.
Mine and analyze data from different resources, and use predictive modeling to increase and optimize customer experiences, customer acquisition, underwriting and other business outcomes.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business decisions.
Understand and apply proper risk framework to your analysis and modeling.
Collaborate cross functionally to implement models and monitor outcomes.

What We Look For

8+ years of hands on Data Science experience building Models and partnering with stakeholders to make business decisions
Consumer finance or adtech background is a plus
Strong problem solving skills with an emphasis on translating real-life problems into a concrete model development strategy. Blend academic rigor with a sense of pragmatism for rapidly prototyping and delivering solutions.
Experienced in using Python for analysis and modeling (TensorFlow is a big plus)
Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks.
Experience using web services (AWS, GCP), and distributed data/computing tools (Spark, Map/Reduce, Hadoop, Hive, etc.)
Excellent cross-functional communication skills.
Ability to thrive in a fast-paced environment.

Benefits and Perks

Competitive salary and growth opportunities
Company quarterly performance based bonus
Equity stock options package
Employer funded comprehensive health, vision, dental insurance and wellness program for employees and their dependents
Employer funded life and disability insurance coverage
Company HSA, FSA, Dependent Care, 401k, and commuter benefits
Up to 12 weeks paid family leave
In office, remote, and hybrid work location options
Home office and technology stipend for those working outside of a traditional office more than 75% of the time
Flexible time-off plan to empower employees to take the time off that they want and need
Continuing education reimbursement
Routine Team swag deliveries!

Depending on your residential location certain laws might regulate the way Figure manages applicant data. California Residents, please review our California Employee and Prospective Employee Privacy Notice for further information. By submitting your application, you are agreeing  and acknowledging that you have read and understand the above notice.
Figure is unfortunately unable to provide sponsorship for this position. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

#LI-CB1


Data Scientist Growth

NBA Top Shot caught lightning in a bottle, bringing in over one million users to the blockchain in a matter of months. We’re looking for a Data Scientist to take our growth trajectory to the next level.

We're looking for an experienced data leader who can bring a data-driven culture and expertise to Dapper Sports. The ideal candidate has worked in gaming, e-commerce, marketplaces, and other companies working with large sets of data and inputs.

Location: Remote OK, working on Pacific Time and traveling to Vancouver when needed

Jobs to be done:

Build mathematical models and automated machine learning tools to analyze and optimize all aspects of Dapper Sports products, providing actionable insights in real-time
Understand the competitive marketplace, business issues, and data challenges to deliver actionable insights, recommendations, and business processes
Design and implement experiments to test various hypotheses
Influence development teams to implement tools, features, and designs - success is measured in new users, retention, marketplace activity, drops, and lifetime value
Research new modeling algorithms, languages, packages, and statistical tools to enhance the overall productivity of the team
Work with members of the Data Science team to deliver high-impact AI/ML products.

More about Dapper Labs:

Dapper Labs, the company behind CryptoKitties, NBA Top Shot, NFL ALL DAY, UFC Strike and the Flow blockchain, uses blockchain technology to bring NFTs and new forms of digital engagement to fans around the world paving the way to a more open and inclusive digital world starting with games and entertainment.

Since it was founded in 2018, Dapper Labs has given consumer enthusiasts a real stake in the game by bringing them closer to the brands they love, building engaged and exciting communities for them to contribute to, and producing new pathways for them to become creators themselves. Dapper Labs' current studio partners include the NBA, NBPA, WNBA, WNBPA, LaLiga, NFL, NFLPA, Warner Music Group, Ubisoft, Genies, and UFC. We have raised over $600M from leading and notable investors including Andreessen Horowitz, Coatue, Union Square Ventures, Venrock, Google Ventures (GV), Samsung, and the founders of Dreamworks, Reddit, Coinbase, Zynga, and AngelList, among others.

Dapper Labs is accelerating the move to Web3 by building new apps and platforms that enable great user experiences while being accessible to hundreds of millions of fans of organizations like the NBA and NFL, for example. We’re ready to empower even more to bring mainstream-ready user experiences and scale to web3 applications.

Visit our website to learn even more about Dapper Labs, including information about benefits and perks.

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Data Scientist Machine Learning

Credit Sesame is the only platform that helps consumers achieve financial wellness by allowing them to manage and grow their credit and cash in one place, for free.  We have created a whole new market category in financial services that sits at the intersection of a credit market place and credit builder digital banking services.  Our purpose is clear, to make financial inclusion and wellness a reality for everyone.

We’re seeking a highly motivated Data Scientist to join our team and build predictive models that impact credit-related decisions made by millions of users.  This person will be responsible for developing, productionizing, maintaining, and monitoring ML models affecting all components of our business.

You’ll…

Join a centralized Data Science team that is part of our larger Engineering org;
use Python and SQL to develop machine learning models whose predictions drive many key aspects of our business, ranging from deciding which email to send to which user on each day, to real-time fraud detection for our digital banking business, to product recommendations at scale on our web and app platforms, to forecasting and anomaly detection systems;
work closely with our Data Engineering team to deploy these models across our Mobile App and Desktop & Mobile Web platforms;
collaborate with Analytics to design and analyze experiments testing the performance of our models;
build parameterized dashboards to monitor both machine learning performance metrics and funnel metrics important to the business;
initiate and lead new modeling projects as well as support initiatives spearheaded by Product;
design and implement efficient pipelines both for model maintenance and for model deployment;
pitch your ideas and present your results to stakeholders including our CRM (customer relationship management) team, Product, and others.

You’re a great fit for our team because…

You are strongly self-motivated, have a mindset of getting things done, and are willing to pick up new skills as needed and iterate quickly as appropriate;
you can communicate clearly and confidently to technical as well as non-technical audiences;
you have knowledge of machine learning packages (mainly scikit-learn and the Python API of XGBoost; experience with other packages is a plus) and algorithms (logistic regression, random forest classifier, gradient boosting regressor, etc.); experience with personalization algorithms and product recommendation systems is a big plus;
you have strong proficiency in writing correct and efficient SQL queries;You are proficient at programming in Python, and at using Git (any other programming skills are a plus!);
you have 2+ years of relevant experience, or a similar mix of experience and education in a quantitative field;
you have knowledge of statistics and experiment design;
you are comfortable with being process-driven like an engineer, and purpose-driven like a business manager;
you can juggle multiple tasks in a fast-paced environment;You can work in a cross-functional team and manage multiple stakeholders;
you can balance short-, medium-, and long-term objectives and successfully deliver on all fronts;
you want to work, excel, and grow in a diverse, challenging, and highly collaborative environment;
(Plus) You have experience building machine learning models that were deployed as a service, with predictions being made in real time.

You’ll love it here because...

you‘ll have huge potential to grow with a company that’s a category leader;
you’ll have equity in a pre-IPO company backed by top VCs;
we offer comprehensive medical, dental, and vision insurance with many plan options;
we have team meals catered twice a week;
you can stay on top of your fitness goals with our on-site fitness centers and a monthly fitness reimbursement;
you can fuel up at our stocked kitchens with endless snacks and drinks;
we value EQ over IQ and prioritize work-life balance (read more about Credit Sesame’s Key Values here: https://www.keyvalues.com/credit-sesame)

We're open to hiring remotely in both the US and Canada for this role. We also have offices located in Mountain View, San Francisco, and Toronto.

#LI-Remote
#LI-EA1

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.