Senior Data Scientist Risk

Senior Data Scientist, Risk
Full-time | Dapper Labs | Remote | Data
We're looking for a top-tier Senior Data Scientist to help us extract, manipulate, analyze, and interpret data. You’ll play a key role in growing a business through your insights, and you’ll help shape the way a revolutionary new technology is introduced to and adopted by new audiences.
Every one of us shares a common vision: to create the future we want to live in. We need the right people to help us realize that vision.
What we'll accomplish together:
Explore, learn and grow Dapper Lab's capacity to mitigate risk in the exciting new world of blockchain and NFTs.Develop effective data approaches that improve user experience across all areas of our product, including customer onboarding, risk, and deliver insights to stakeholders.Analyze customer behaviors, rule effectiveness, risk strategies, fraud and money laundering patterns with the goal of building and refining automated risk rules.Able to identify red flags, suspicious activity, investigate patterns / typologies and work on appropriate solutions from our 'big data' warehouse and disparate external data sources.Work in a cross-functional team that overlaps product, marketing, engineering and Trust & Safety.Establish and maintain effective communication with internal and external stakeholders.Comfortable building relationships across organizations and articulating facts to a diverse audience.
A little about you:
Bachelor's degree OR Master's degree in a technical discipline with 5+ year track record of relevant experience.Professional experience leveraging heuristic methods and data science approaches (eg., predictive modeling) to solve problems.Crafty data wrangler with experience working with data engineers and cloud technology (GCP, AWS, Azure, or similar).Data storyteller with ability to present a compelling narrative surrounding data insights to non-technical stakeholders.Strong interpersonal and collaboration skills, advisory and communication experience.Proficiency in Python or R with solid coding skills + top notch mastery with SQL.Any blockchain, crypto, financial institution or payment industry experience would be an asset.
More about Dapper Labs:
Dapper Labs is the world's first blockchain entertainment company. We are the creators of industry-leading experiences including CryptoKitties and NBA Top Shot, as well as Dapper Wallet – the simplest way to manage your assets and use the blockchain. We are also the original developers behind Flow, a new decentralized blockchain designed from the ground up for scalability and ease of use.
Our mission at Dapper Labs is to make the world a more accessible and enjoyable place through consumer adoption of decentralized technologies.
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’ current studio partners include the NBA and NBPA, the NFL-PA, Ubisoft, Warner Music, Turner, Dr. Seuss, Genies, and the UFC, as well as 100+ others.
Visit our website to learn even more about Dapper Labs, includinginformation about benefits and perks.
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Data Scientist Growth

Data Scientist, Growth
Full-time | Dapper Labs | Remote | Data
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-timeUnderstand the competitive marketplace, business issues, and data challenges to deliver actionable insights, recommendations, and business processesDesign and implement experiments to test various hypothesesInfluence development teams to implement tools, features, and designs - success is measured in new users, retention, marketplace activity, drops, and lifetime valueResearch new modeling algorithms, languages, packages, and statistical tools to enhance the overall productivity of the teamWork with members of the Data Science team to deliver high-impact AI/ML products.
More about Dapper Labs:
Dapper Labs is the world's first blockchain entertainment company. We are the creators of industry-leading experiences including CryptoKitties and NBA Top Shot, as well as Dapper Wallet – the simplest way to manage your assets and use the blockchain. We are also the original developers behind Flow, a new decentralized blockchain designed from the ground up for scalability and ease of use.
Our mission at Dapper Labs is to make the world a more accessible and enjoyable place through consumer adoption of decentralized technologies.
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’ current studio partners include the NBA and NBPA, the NFL-PA, Ubisoft, Warner Music, Turner, Dr. Seuss, Genies, and the UFC, as well as 100+ others.
Visit our website to learn even more about Dapper Labs, includinginformation about benefits and perks.
#LIremote
Apply Now


Head Of Operations Analytics

Varsity Tutors is looking for a Head of Operations Analytics with a background in Operations Research and Management Sciences. The vision of this team is to determine which Varsity Tutors consultant is best suited for each customer inquiry and ensure that we have sufficient consultants available to meet the demand across subjects and time of year.
We develop automation and algorithms that involve learning from large amounts of past data, including inquiries, sales, prices, promotions, in order to forecast the demand for our tutoring and classes, and use these forecasts to determine the level of investment in our marketing channels, workforce planning, and determining financial performance.
We are looking for a proven leader to help lead our Operations Analytics team as we deliver our Forecasting and Optimization platform. We're looking for a leader who combines exceptional technical and analytical capabilities to lead a team that will be integral to the continued business growth of the Sales and Consulting Organization. As the Head of Operations Analytics, you will be responsible for leading a team of analysts and data scientists in the design, development, testing, and partnering with engineering on the deployment of models.
You will have an opportunity to work on large mathematical problems and guide the team to solve linear and mixed-integer problems to find optimal solutions to build decisions given capacity constraints and the demand distributions. You will also drive process changes to support increasing automation and smarter optimization. You are an individual with outstanding analytical abilities, communication skills, and are comfortable working with technical teams and systems. You will be responsible for leading the team that does researching, experimenting, prototyping, and analyzing forecasting strategies.
About Nerdy
Nerdy (NYSE: NRDY), the parent company of Varsity Tutors, is a leading platform for live online learning, with a mission to transform the way people learn through technology. The Company’s purpose-built proprietary platform leverages technology, including AI, to connect learners of all ages to experts, delivering superior value on both sides of the network. Nerdy’s comprehensive learning destination provides learning experiences across 3,000+ subjects and multiple formats—including one-on-one instruction, small group classes, large format group classes, and adaptive self-study. Nerdy’s flagship business, Varsity Tutors, is one of the nation’s largest platforms for live online tutoring and classes. Its solutions are available directly to students and consumers, as well as through schools and other institutions. Learn more about Nerdy at https://www.nerdy.com/. The company publicly listed on the New York Stock Exchange on September 21, 2021.
Key Responsibilities

 Lead the analytics team to deliver on the goals and roadmap for the Forecasting and Planning Org.
 Collaborate with the Engineering and the Sales teams to deliver the optimal solutions.
 Influence organization's long term roadmap and resourcing, introduce new technologies, and mentor a team of analysts.

Basic Qualifications

 M.S in Operations Research, Industrial Engineering, Computer Science, Management Science or a related field with 2+ years of industry experience.
 5+ years of work experience in areas such as data analytics, operations research, forecasting, machine learning and large scale simulation.
 Demonstrated use of modeling and optimization techniques tailored to meet business needs and proven achievements in industrial production systems.
 Proficiency in Python or other modern programming language
 3+ years of direct people management experience including duties such as performance evaluation and career development.

Varsity Tutors Leadership Competencies
Relentless Focus on Customers * Comfort with Ambiguity * Ownership * Simplify * Intellectual Curiosity * Build Teams * Think Big * Insist on High Standards * Bias for Action * Build Trust * Go Deep * Have Conviction * Deliver Results * Are Right, a Lot
Benefits/Culture

Competitive Salary plus Equity in the company
Healthcare Plans (Medical, Dental, Vision, Life)
401k Company Plan
Remote Position, fully work from home (or wherever you like!)
Flexible PTO plus a floating holiday
Paid VTO ("volunteer time off" to do community service/charity work)

52 hours of Free Learning Sessions per year for you or immediate families members and free access to our Virtual School Day classes and School@Home program

Once in a lifetime opportunity to help revolutionize how the world learns!
Fun, collaborative, and team-oriented work environment with plenty of training and a feedback rich culture

Varsity Tutors is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. (INDHP)


Senior Data Scientist International Analytics

We are looking for a results-oriented and strategically minded Senior Data Scientist, Analytics to work with our International Growth team as Reddit expands its user base to India.
How You’ll Have Impact:
Today the majority of Reddit’s user base lives in the US. Reddit’s mission is to bring community and belonging to everyone in the world, which means we’ll be making a major push to expand our audience internationally. We’ve identified India as a key market and need you to be a key player in exploring and understanding the key levers to drive growth.
What You’ll Learn:
As a Data Scientist, you will become an expert in improving Reddit’s product-market fit for a global user base. You’ll be pivotal in understanding how Indian users interact with our product today and how that differs from other audiences. You’ll be a champion to the users through evaluating performance of existing Reddit features for India users, as well as uncovering opportunities for new experiences that are optimized for worse internet connections.
You will work side by side with a world-class org of Engineering, Machine Learning, Search, Community Operations, Product Management practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product creation. In this process, you will be exposed to a variety of new techniques in experimentation, machine learning, and exploratory analysis
What You’ll Do:

Partner cross functionally with Eng and Product leads to help define and execute international growth’s India roadmap and initiatives
Become the expert at understanding user behavior and long-term trends in India
Generate data-driven insights that propose next steps in the strategic roadmap
Design and evaluate A/B tests for product feature experiments to determine the effectiveness of product strategy
Define team metrics and goals and make them easily available through ETLs (extract/transform/load) and reporting dashboards

Who You Might Be:

4-6 years of experience in quantitative analytical roles, preferably for growing at-scale consumer products outside the US
Proficiency with relational database (e.g., SQL)
Familiarity with statistical analysis and programming languages (e.g., R / Python)
Results-oriented with a strong customer and business focus
Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments.
Ability to communicate and discuss complex topics with technical and non-technical audiences
Ability to tackle ambiguous and undefined problems
Previous experience with the India market preferred but not required


Senior Data Scientist Analytics Ecosystem

The mission of our newly formed Ecosystem team is to support Reddit’s strategy through the independent evaluation of new initiatives & by being the source of truth of company-level product performance metrics. We are looking for a Staff Data Scientist who would like to join our organization and help build our Ecosystem vertical. If you would like to join a thriving new area that is driving the conversation on the most strategic decisions Reddit will take at the executive level over the next months and years, we have a role for you!
How You’ll Have Impact:
You will be the eyes and brain behind getting a foundational understanding of how Reddit works, and the expected impact of various different strategic initiatives. You will steer Reddit’s strategy and guide the company’s investment so we can fulfill our mission of bringing a sense of community and belonging to everybody in the world.
What You’ll Learn:

You will be exposed to the ins and outs of everything that is happening at Reddit, and as a result will learn about every single strategic area that is being created
You will work directly with senior leadership and every Data Science team embedded across the organization

What You’ll Do:

Lead the definition and reporting of Reddit’s core product metrics across all levels of leadership, including Reddit executives
Define KPIs and make them easily available through ETLs (extract/transform/load) and reporting dashboards
Generate data-driven insights, analytical frameworks, metrics strategy and data models to evaluate product/company performance and guide strategic decisions
Collaborate with your peers across Data Science and Data Platform to guide an overarching data strategy for Reddit, including a plan for robust data validation and data quality
Establish yourself as a leader and mentor within the broader Data organization

Who You Might Be:

4-6 years of experience in Data Science or Analytics function in a tech consumer company

Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)
Experience writing ETLs
Experience creating and owning reports in visualization tools (Mode, Tableau, Looker, Power BI, etc)
Experience with product metrics across different areas, including new metrics definition
Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way.
Experience working with senior cross-functional stakeholders (Director+)
Bonus Points: Experience working with Finance and/or Corporate Strategy teams


Senior Data Scientist Dev Platform Analytics

Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic. Learn more about how we're evolving Reddit's workforce here.
We're looking for a Senior Data Scientist to lead Reddit’s emerging Developer Platform. This is a new team that focused on building external developer experiences like an app store for plugins (e.g. https://top.gg/)  and a playground for developers to test new features  (e.g. https://jsfiddle.net/). As the Senior Data Scientist embedded on the team, you will be essential in helping us dig through the massive amounts of Reddit data and help to build first-class developer tools that Redditors will use to make their communities feel more connected online.
How You’ll Have Impact:
You’ll be the expert in ensuring we understand what users are doing on the platform and what bots & plugins are highly demanded by our users. You will help us make the right product decisions based on data insights, play with the massive amounts of data from one of the largest websites, and help define the culture and frameworks for future team members. Reddit sits in a unique place, where there is massive scale and yet there are still a lot of low-hanging fruit opportunities that will immediately impact millions of users and make a visible difference in our business KPIs.
What You’ll Learn:
You will work side by side with some of the best Data Scientists in the world, and will have exposure to everything and anything related to our communities at Reddit. You will also have access to one of the coolest data sets in the world (Reddit’s).
What You’ll Do:
In this role, we are looking for someone with a background in or deep familiarity with developer experience. Ideally, you have written enough code to understand what separates a great API from a deeply frustrating one. This particular role will focus on:

Partner with Eng and Product to define and execute roadmap and initiatives
Define team metrics and goals and make them easily available through ETLs (extract/transform/load) and reporting dashboards
Communicate findings and co-design strategy with the most senior leaders in our organization
Lead proactive exploratory data analysis, distill data insights into strong product recommendations and own the A/B tests in order to ideate new opportunities.

Who You Might Be:
We're looking for someone who thrives in this environment, who can be autonomous enough to always be moving forward, pragmatic enough to not get lost in the weeds, and ambitious enough to envision a Developer Platform enabling a richer, more connected Reddit ecosystem. Specifically, we’re looking for a data scientist with

4+ years of experience in Data Science or Analytics function in a tech consumer company
Proficiency with relational databases (e.g., SQL)
Familiarity with statistical analysis and programming languages preferred (e.g., R / Python)
Ability to tackle ambiguous and undefined problems.
Demonstrated ability to ideate data research, distill insights into strong product recommendations and lead A/B tests to test the data-led hypotheses
Experience creating and owning reports in visualization tools (Mode, Tableau, Looker, Power BI, etc)
Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments
Ability to communicate and discuss complex topics with technical and non-technical audiences


Senior Data Scientist Product

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: Analytics & Data Science, Manager

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 working with Product and Engineering teams on feature experimentation, customer journey analytics, and quantitative research
You have experience using Customer Data Platform (CDP) & Product Analytics tools such as mParticle, Segment, Amplitude, Heap, or Google Analytics
You have strong SQL skills and experience with relational databases such as Redshift or Snowflake
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


Data Scientist

The company + vision.
Everyone’s got the message: machine learning is changing everything. And for Fortune 500 brands in every vertical, it’s actually true — Machine Learning (ML) predictions are solving billion-dollar, migraine problems. But for smaller brands, the talent and investment needed to build an ML platform are simply out of reach.

Black Crow is changing that--fast. Founded by a team that has spent the last decade in machine learning, our mission is to help DTC brands turbocharge their growth by delivering bespoke, Fortune 500-grade ML predictions. It works out of the box, delivered as a service, and costs less than one data scientist. Integration: one click.

6 months ago, we had one DTC brand using our predictions. Now we have over 150 — including Solo Stove, the RealReal, SAKARA, Native, Keurig, and Bearaby. There are 50,000 more who haven’t heard of us yet.

The team + culture.
This is the 3rd company Black Crow’s founders have started together. Both previous companies scaled to >$100MM and were voted ‘Best Places to Work’ in NYC many times.

The founders are building Black Crow to be commercially successful, high growth, and valuable. But that’s insufficient as an end--we’re also building a company that we actually want to work at! That means we are human first--we don’t expect anyone to transform themselves to show up at work. It means working together is a positive force in our lives, not something we tolerate for the paycheck. And it means we see diversity as a strength.

Black Crow AI is seeking an innovative Data Scientist to join as a charter member of our team. We’re taking off and expanding our top notch product team. You’ll have big, exciting responsibilities including developing new game-changing machine learning applications alongside our engineering and product teams, conducting product discovery with potential customers to inform the future potential use cases of our platform.

We’re looking for someone with an entrepreneurial spirit, who isn’t afraid to get their hands dirty and dive in to both get things done, and make improvements.

What you'll do

Develop algorithms and predictive models to solve critical business problems
Drive the collection of new data and the refinement of existing data sources
Analyze and interpret the results of product experiments
Manage work prioritization by asking the right questions
Identify new areas of innovation
Communicate brilliantly and develop strong relationships at all levels, internally and externally

About you

Degree in math, statistics, engineering, or computer science
5+ years of relevant experience as a Data Scientist or similar position.
Experience in feature extraction/development, feature engineering and using data mining tools.
Extensive experience solving analytical problems using quantitative approaches
Familiarity with relational databases (SQL/PostgreSQL), as well as operational data tasks (ETL, business intelligence platforms)
Experience in building machine learning/statistical models on large scale data with understanding of underlying ML Algorithms and ML life cycle.
Strong knowledge of at least one programming language (Python, Java, Scala) and frameworks appropriate for large scale analysis of structured and unstructured data.
Experience with Apache Spark and cloud services like AWS is a plus.
Strong passion for empirical research, good problem solving skills and organizational skills
Detail-oriented and execution-focused approach.
Excellent written and spoken communication; can simplify complex topics into clear and impactful summaries and presentations
Self-motivated and flexible - with ability to work in fast paced, changing environment
Insatiable curiosity and love of learning.

More about us.
 + Virtual-first and welcome employees from anywhere
 + Unlimited paid time off
 + Fridays are yours - complete flexibility on if or how much you focus on Black Crow each Friday

Love your job.
We love our work and our team. Our machine learning helps ‘flick the lights on’ for companies so they see their customers more clearly and can uncover the true potential of their tools and teams. In turn, we strive to do the same for our people. We’re here to shine light on each other and unlock known (and sometimes unexpected) potential.

Our vibrant team accomplishes buckets of awesome every day. We also partake in our fair share of daily laughter. Come build the company you’ve always wanted to work for - with inspiring products and a community of passionate people.


Senior Data Scientist Tx

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.  Our consultants bring deep expertise in Data Science, Machine Learning and AI.  We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.   As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. Effectively communicate the analytics approach and how it will meet and address objectives to business partners.  Advocate and educate on the value of data-driven decision making; focus on the “how and why” of solutioning. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts and developers. Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products. Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources. Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards. Collaborate, coach, and learn with a growing team of experienced Data Scientists.  Stay connected with external sources of ideas through conferences and community engagements.  Bachelors Degree in Data Science, Computer Science, or related field 5+ years of Data Science and Machine Learning experience required Proficiency in Python or R. Ability to write complex SQL queries Proficiency with Machine Learning concepts and modeling techniques to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets Ability to implement ML best practices for the entire Data Science lifecycle Ability to apply various analytical models to business use cases (NLP, Supervised, Un-Supervised, Neural Nets, etc.) Exceptional communication and collaboration skills to understand business partner needs and deliver solutions Bias for action, with the ability to deliver outstanding results through task prioritization and time management Experience with data visualization tools — Tableau, R Shiny, etc. preferred This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.


Staff Data Scientist Nlp And Segmentation U S

Reporting to: VP of Data Science & Analytics Location: United States / remote, requires U.S. work authorization Compensation: Starts at $160K at Principal Data Scientist level; starts at $175K at Staff Data Scientist level Wanna use your data science skills for good? If so, then keep reading. About WorkMoney WorkMoney is a nonprofit organization dedicated to lowering costs and raising incomes for all Americans to make American life more affordable and American families more economically secure. We provide products, services, perks, benefits, tips, and tools to help members improve their financial lives. We are a trusted source of information about financial matters, economic policy, and public debates about the economy. We also activate and engage our members in advocacy campaigns to support policies and elected leaders to support our core vision that everyone in America can afford to live a good life. You can find out more about WorkMoney at workmoney.org and Facebook.  What are we looking for? WorkMoney is looking for a Lead Data Scientist with hands-on experience in natural language processing to help transform our data into information. In the year ahead, WorkMoney will be tackling complex problems like identifying signs of financial crisis in text messages, building personas and segments based on text patterns and surfacing key themes and topics in comment collection. This role will lead the data team in the creation of sentiment analyzers, topic modeling, archetype building and more. Successful candidates will have experience with building production ready NLP projects, supervised and unsupervised learning techniques and at least one programming language for data science. We also need someone who can think big and creatively about using data science techniques to help us accomplish our core vision. As WorkMoney's data science "expert" in a startup environment, you may tackle many projects. We are open to individuals at various levels and encourage you to apply if you are interested in WorkMoney's mission and meet many of the core requirements. We are open to applicants with various levels of leadership experience for this role. Applicants with applicable experience above principal level will be considered at the Staff level.Core technical responsibilities: Work on mission oriented projects in support of Work Money's broader goals Write clean, concise and optimized code Leverage the latest NLP technologies to help interpret our text data and answer important organizational questions Build high quality machine learning models that contribute to the data team’s ongoing segmentation and personalization efforts Own all parts of the project lifecycle from data transformation and cleaning to model deployment Think big and creatively about the application of data science techniques in accomplishing WorkMoney’s goals  Additional responsibilities at Staff level:  Hire, Supervise, and support one or more analysts Provide informal mentorship and training to colleagues Act as a project, product, and personnel manager to move forward complex projects Explore new and creative ways to solve economic justice challenges using data and technology  Core requirements for the role A desire to work in a mission oriented environment; alignment with WorkMoney's economic justice goals Experience building and deploying production NLP and machine learning models in a cloud environment (AWS preferred) Expert in Python or other data science programming language Fluency with NLP techniques like Topic Modeling, Named Entity Recognition, Sentiment Analysis and Information Extraction Excellent communication skills with technical & non-technical audiences alike Self-motivated problem solver with a knack for sniffing out data inaccuracies   For consideration as a Staff level, applicants will meet some of the following requirements:  Staff management experience and a desire to grow these skills Experience with project and/or product management in a flexible environment Vendor management and evaluation experience  Extensive experience with advocacy, legislative or electoral campaign data science Salary for Principal level is $160,000Salary for Staff level starts at $175,000We utilize transparent and non-negotiable salary bands based on the role and responsibilities. WorkMoney offers generous healthcare, vacation and retirement benefits -- the kind ALL Americans should be able to have, and which we are proud to offer. Those include, but are not limited to: low deductible healthcare, dental, and vision plans at no cost to you, 401(K) retirement program with up to 6% employer match, four weeks paid vacation, annual work from home stipend, and unlimited sick time.  Why join our team? We’re mission driven, hard working, and scrappy. We’re a true startup, offering a dynamic work environment where no day is the same and where innovation and rolling up your sleeves is the norm. WorkMoney’s team includes people with a wide-ranging set of backgrounds and expertise. And best of all, we’re a growing crew of collaborative colleagues who are generous, whip-smart, and authentic.  WorkMoney is an equal opportunity employer. WorkMoney prohibits unlawful discrimination against any employee or applicant for employment based on age, color, disability, gender, marital status, national origin, religion, sexual orientation, expression, gender identity, veteran’s status, or any other basis prohibited by law. We strongly encourage applicants from historically under-represented communities and see diversity of all kinds as a tremendous asset to our work. To Apply Follow the link to the application page, complete the required fields, and submit a resume and address the following application questions: Why are you interested in this job? What makes you want to work at a fast paced social impact startup at this time in your career? How do you like to learn new technical skills?


Embedded Data Scientist Evangelist

About Gusto
Gusto is a modern, online people platform that helps small businesses take care of their teams. On top of full-service payroll, Gusto offers health insurance, 401(k)s, expert HR, and team management tools. Today, Gusto offices in Denver, San Francisco, and New York serve more than 200,000 businesses nationwide.
Our mission is to create a world where work empowers a better life, and it starts right here at Gusto. That’s why we’re committed to building a collaborative and inclusive workplace, both physically and virtually. Learn more about our Total Rewards philosophy.
We have an unusual, yet exciting, role in our Forecasting & Analytics (F&A) team within Revenue Operations (RevOps) which is a hot-topic area within growth businesses with direct and sales-assisted motions.
Our analysts are spreadsheet wizards who are also hands-on with SQL and Redash reports. They are highly reactive to ad-hoc data needs of a variety of stakeholders with daily and weekly reporting motions.
We are embracing DataOps practices, including the adoption of tools like DBT to bring software-like rigor to our work. We are transitioning to “self-serve” data solutions where stakeholders discover insights for themselves, such as advanced Tableau (e.g. with embedded Python). Our mission is to allow stakeholders (not just analysts) to produce insights “at the speed of thought.” This role is central to that mission.
Gusto has a centralized DS center-of-excellence (CoE). Some of their models already underpin F&A work. However, this role is for a data scientist to be embedded in our F&A team to achieve the following:
Here’s what you’ll do day-to-day:

Ideate advanced techniques to improve F&A across the entire revenue journey from acquisition to close-of-sale and beyond (e.g. up-sell).
Build advanced solutions whilst liaising with the CoE to share knowledge and resources.
Identify, evaluate and recommend best-in-class 3rd party tools (e.g. “RevOps AI” platforms).
Ideate and embed DS methods into existing F&A data products (e.g. via Python extensions to Tableau) so as to add next-level self-serve insights beyond native Tableau capabilities.
Evangelize, design and oversee an up-skilling program for existing analysts to adopt DS and advanced analytics methods within their work.
Influence our DataOps practices from a DS perspective, working with our Data Curator to ensure testability and related data-quality mechanisms.

Here’s what we're looking for:

Demonstrable experience with Python and classical ML libs like scikit-learn
Critical thinking and self-start attitude, comfortable with ambiguity and incomplete requirements
Passion for sharing knowledge and teaching others
Advanced Tableau, ideally using Pythonic extensions
Advanced visualization techniques and familiarity with information design & UX

Our cash compensation amount for this role is targeted at $123,000-$138,000/year in Denver & most remote locations, and $149,000 - $167,000/year for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home with us.
Our company is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Our company considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@gusto.com.


Credit Model Risk Lead Machine Learning

We’re looking for an intelligent, driven professional to join our Model Risk Management (MRM) team. This team seeks to establish, maintain and oversee an effective MRM framework to identify, quantify, monitor, mitigate and report on model risk throughout the company. You will have an outstanding opportunity to work cross-functionally to develop a profound understanding of models that drive critical business decisions, and add value to the company by mitigating risks due to ineffective model design or model misuse.
What you'll do

Perform independent challenges of machine learning models used for credit underwriting/credit risk management through thorough validation and ongoing monitoring. Identify model weaknesses and opportunities for improvement;
Collaborate with model owners to remediate model validation findings;
Partner cross-functionally to implement and maintain the company’s MRM framework;
Partner with Internal Audit, Internal Controls, and Compliance to ensure timely resolution of audit and regulatory requests.

What we look for

3-6 years of professional experience in related technical areas such as model development, model validation, data science
Deep and broad knowledge and experience in machine learning modeling, credit underwriting, and credit risk management
Strong coding skills in Python, SQL
BS, MS, or PhD in a quantitative field such as Math, Data Science, Computer Science
Oriented toward detail, curious about data/models/algorithms, skilled at critical thinking and problem solving
Extraordinary interpersonal and verbal/written communication skills

Location - Remote U.S.
Grade - USA29

 #LI-Remote


Data Scientist Senior

Purpose of Job
We are seeking a talented Data Scientist Senior for our San Antonio, TX Home campus; Plano, TX campus; Phoenix, AZ campus; Colorado Springs campus; Tampa, FL campus; Charlotte, NC campus or 100% Remote.
As a data scientist supporting enterprise member and Omni channel area, you will be partnering with product managers, IT, and other data scientists to build and deliver advanced analytical solutions. In this role, you will build and move machine learning models through all phases of development, from design through training, evaluation, validation, and implementation. The incumbent will be expected to share and apply their knowledge of current state-of-the-art methods, technologies, and applications across data science fields, including statistics, programming languages, unsupervised learning, etc. This position will leverage interpersonal skills to translate the complexity of work into tangible business recommendations.
Uses advanced techniques that integrate traditional and non-traditional datasets and method to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; participates in building analytical solutions leveraging internal and external applications to deliver value and create competitive advantage. Translates complex analytical and technical concepts to non-technical employees.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This outstanding mission requires a dedication to innovative thinking at every level.
About USAA IT
Our most meaningful qualification isn't technical, it's human. Here, we don't just sit in front of a screen. We stand behind our 12 million members who rely on us every day.
We are over 5,000 employees strong, a passionately supportive and collaborative team built on agile principles. We've been a top-two Computerworld 100 Best Places to Work in IT five years in a row and were recently named a Top 50 Employer for Minority Engineers & IT by Workforce Diversity Magazine.
Tasks:
Identifies and manages existing and emerging risks that stem from business activities and the job role. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled. Follows written risk and compliance policies and procedures for business activities. Partners with business leaders across the organization to define business problems and research questions; serves as key resource and Subject Matter Expert (SME) on cross functional, matrixed teams to solve highly complex work critical to the organization.Builds large and complex information sets; Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Serves as key resource and Subject Matter Expert (SME) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to translate prototypes into new products, services, and features.Builds and maintains a robust library of reusable algorithms and supporting code, such that research efforts are based on the highest quality data, are transparently conducted, and can be productionized and are reproducible.Translates complex analytical and technical concepts to non-technical employees to enable understanding and drive informed business decisions.Maintains academic and industry relationships for the purposes of research; maintains expertise and awareness of cutting-edge techniques, technologies and potential business solutions.
Minimum Requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field.6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.6 years of experience in predictive modeling, large data analysis and computer science.Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis).Solid experience in at least one compiled language (e.g., Java, C or more or more) and one dynamic scripting language (Python, PERL, Ruby).Experience in data mining and statistical analysis.Excellent pattern recognition and predictive modeling skills.Knowledge and application of Data Science principals and experience with data science methodologies.Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.Technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers’ organization.Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.
When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Preferred experience:
Hands-on experience developing products that utilize advanced machine learning techniques and ability to transition those solutions from the development environment into the production environment for full-time use.Hands on experience or exposure to deep learning areas such as deep learning in areas such as computer vision, Natural Language Processing (NLP), graph modeling and recommender systems.Understand the end to end model development, implementation, business integration and model risk management process under finance institution environment.knowledge of cloud environment, move data to and from cloud environment and conduct the ML and advanced analysis in cloud environmentExtensive experience of at least one programming languages, such as Python, R, Java, SQL, etc.Agent-based modeling expertise, with knowledge of AnylogicAdvance degrees in STEM disciplines with an emphasis on applied mathematical backgrounds are preferred. Exposure building digital twins across many different spaces that will be providing both retrospective and projective operational and strategic recommendations, with behavioral models developed using ML algorithms from extensive databases on the modeling targets.
The above description reflects the details considered vital to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective method for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this skill is: $106,800.00- $192,300.00* (this does not include geographic differential it may be applied based on your work location)
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is Not Available for this position.


Senior Lead Data Scientist

Full time, London or remote (GMT +/- 3 hours)
About us:
BeZero Carbon is a global ratings agency for the Voluntary Carbon Market. Our ratings allow all market participants to price and manage risk. BeZero’s ratings and research tools support buyers, intermediaries, investors, and carbon project developers.
Founded in April 2020, our 60-strong team combines climatic and earth sciences, sell-side financial research, earth observation, machine learning, data and technology, engineering, and public policy expertise. Our head office is in London, and our people work from six continents.
For more information visit www.bezerocarbon.com.
Job Description:
After the launch of our MVP of the BeZero Carbon Markets (BCM) platform late last year, we are now scaling our data engineering and science team at pace. The team will be a small group of engineers and scientists that build the core data products and automation for our client-facing platform and therefore sits at the core of the business. Your work would cover a broad range of applications: you could be developing statistical and machine learning algorithms that automate (parts of) our offset rating methodology further, use Markowitz-style portfolio optimisation techniques to build portfolios of carbon offsets, or build neural networks to process satellite imagery data to enable offset tracking over time, to name just a few potential applications.
As a data team, we have a bias towards shipping products, staying close to our internal and external customers, and owning our deployments end-to-end. We avoid silo-ed teams where proof-of-concepts are built separately and handed over to software engineering teams before they are considered production-ready. Our philosophy is to follow software engineering best-practices when developing our data products (for example, see this repo by Satalia that details a similar development workflow for data products). The tech stack is AWS-based and uses SQL (PostGres) and Python’s ecosystem for data engineering and science (think packages like NumPy, Pandas, Airflow, FastAPI, etc). While these foundations have been set, we are still early in our journey with many things we want to build. As an early team member, you will have significant opportunity to help shape the team’s products and the way we build them.
You’re welcome to work in our London-based office, but very much welcome applications remotely if you can work GMT +/- 3 hours. You’d be reporting into our Chief Data Strategist Thomas, who joined recently from data and machine learning consultancy QuantumBlack and McKinsey & Co, and represents the data organisation at the executive level.
Responsibilities:
You will be an individual contributor in our central data team, focused on scoping and building data products to be deployed on our carbon markets platform that helps clients make smarter Net Zero decisions.
You will research and implement statistical and machine learning approaches to solve business challenges relevant to carbon markets (e.g., think carbon offset rating algorithms, credit issuance time series forecasting, text mining on carbon removal project documentation to name a few use-cases).
You will work in a collaborative, production-facing codebase that is closely coupled with engineering systems.
You will be involved in the day-to-day operations of the team, including maintaining and improving our current tools & scripts and collaborating with experienced data engineers.
You’ll be our ideal candidate if:
You care deeply about the climate and carbon markets and are excited by solutions for decarbonising our economy.
You have an advanced degree in a quantitative field.
You have 4+ years of experience in scoping and building statistical or machine learning use cases in production.
You have practical knowledge of software engineering concepts and best practices, inc. DevOps, DataOps, and MLOps.
You are familiar with SQL and the Python scientific computing stack (NumPy, SciPy, matplotlib, pandas, etc) (must-have) and workflow orchestration tools (e.g., Prefect, Dagster, Airflow), containerization (e.g., Docker), cloud platforms (we use AWS but experience with any cloud platform will do) (preferred).
You are able to write clean, maintainable, scalable, and robust code in Python and SQL, and familiar with collaborative coding best practices (e.g. PEP8 code style, unit testing, continuous integration tools such as flake8, black, isort, etc).
You are a highly collaborative individual who wants to solve problems that drive business value. You have a strong sense of ownership and enjoy hands-on technical work.
You are comfortable when faced with a lot of ambiguity, both technically and organisationally. You’re happy to tackle problems without a clear definition or solution.
You enjoy owning problems end to end, from the early exploration of the problem through to releasing things to customers and understand that often doesn’t involve writing code.
Bonus points (but we’d still like to hear from you if you don’t have experience in any of these)
Experience working with PDF and text data (natural language processing) is a plus.
Experience in working with satellite imagery data is a plus.
Experience in productionising deep learning models for text or image processing is a plus.
Experience working with geospatial data in Python (geopandas, xarray, rasterio, etc) is a plus.
Research has shown that women are less likely than men to apply for a role if they don’t have experience in 100% of the requirements outlined in a job description. Please know that even if you don’t have experience in all the areas above but think you could do a great job and are excited about shaping company culture, finding great people, and building great teams, we’d love to hear from you!
What we’ll offer:
Competitive renumeration and opportunity for equity in a rapidly growing VC-backed start-up through share optionsAbility to learn and develop alongside a range of sector specialists from the scientific, technology, economic and business community Opportunity to be part of a fast-growing data organisation that is central to the company, with clear opportunities to set the pace and vision for the team and to either develop in the future as an IC, into a deep tech expert in carbon markets, or as an engineering manager, leading the day-to-day of the team.Flexible working arrangements: A central London office space (Angel) if you wish to work from an office, but opportunity to work completely remote as well.
Our interview process:
Initial screening interview (15-30 mins)Technical experience interview (45 mins) and case study (45 mins) with Chief Data StrategistFinal interview (1hr) with senior managementReference checks + offer
We value diversity at BeZero Carbon. We need a team that brings different perspectives and backgrounds together to build the tools needed to make the voluntary carbon market transparent. We’re therefore committed to not discriminate based on race, religion, colour, national origin, sex, sexual orientation, gender identity, marital status, veteran status, age, or disability


Data Scientist

Full time, London or remote (GMT +/- 3 hours)
About us:
BeZero Carbon is a global ratings agency for the Voluntary Carbon Market. Our ratings allow all market participants to price and manage risk. BeZero’s ratings and research tools support buyers, intermediaries, investors, and carbon project developers.
Founded in April 2020, our 60-strong team combines climatic and earth sciences, sell-side financial research, earth observation, machine learning, data and technology, engineering, and public policy expertise. Our head office is in London, and our people work from six continents.
www.bezerocarbon.com
Job Description:
After the launch of our MVP of the BeZero Carbon Markets (BCM) platform late last year, we are now scaling our data engineering and science team at pace. The team will be a small group of engineers and scientists that build the core data products and automation for our client-facing platform and therefore sits at the core of the business. Your work would cover a broad range of applications: You could be developing statistical and machine learning algorithms that automate (parts of) our offset rating methodology further, use Markowitz-style portfolio optimisation techniques to build portfolios of carbon offsets, or build neural networks to process satellite imagery data to enable offset tracking over time, to name just a few potential applications.
As a data team, we have a bias towards shipping products, staying close to our internal and external customers, and owning our deployments end-to-end. We avoid silo-ed teams where proof-of-concepts are built separately and handed over to software engineering teams before they are considered production-ready. Our philosophy is to follow software engineering best-practices when developing our data products (for example, see this repo by Satalia that details a similar development workflow for data products). The tech stack is AWS-based and uses SQL (PostGres) and Python’s ecosystem for data engineering and science (think packages like NumPy, Pandas, Airflow, FastAPI, etc). While these foundations have been set, we are still early in our journey with many things we want to build. As an early team member, you will have significant opportunity to help shape the team’s products and the way we build them.
You’re welcome to work in our London-based office, but we very much welcome applications remotely if you can work GMT +/- 3 hours. You’d be reporting into our Chief Data Strategist Thomas, who joined recently from data and machine learning consultancy QuantumBlack and McKinsey & Co, and represents the data organisation at the executive level.
Responsibilities:
You will be an individual contributor on our central data team, focused on scoping and building data products to be deployed on our carbon markets platform that helps clients make smarter Net Zero decisions.
You will research and implement statistical and machine learning approaches to solve business challenges relevant to carbon markets (e.g., think carbon offset rating algorithms, credit issuance time series forecasting, text mining on carbon removal project documentation).
You will work in a collaborative, production-facing codebase that has is closely coupled with engineering systems.
You will be involved in the day-to-day operations of the team, including maintaining and improving our current tools & scripts and collaborating with experienced data engineers.
You’ll be our ideal candidate if:
You care deeply about the climate and carbon markets and are excited by solutions for decarbonising our economy.
You have an advanced degree in a quantitative field.
You have 2+ years of experience for the mid-level role, or 4+ years of experience for the senior-level role, in building statistical or machine learning use cases in production. We will be accepting applications with less experience in the future, but now need people who can hit the ground running.
You are familiar with SQL and the Python scientific computing stack (NumPy, SciPy, matplotlib, pandas, etc) (must-have) and workflow orchestration tools (e.g., Prefect, Dagster, Airflow), containerization (e.g., Docker), cloud platforms (we use AWS but experience with any cloud platform will do) (preferred).
You are able to write clean, maintainable, scalable, and robust code in Python and SQL, and familiar with collaborative coding best practices (e.g. PEP8 code style, unit testing, continuous integration tools such as flake8, black, isort, etc).
You are a highly collaborative individual who wants to solve problems that drive business value. You have a strong sense of ownership and enjoy hands-on technical work.
You are comfortable when faced with a lot of ambiguity, both technically and organisationally. You’re happy to tackle problems without a clear definition or solution.
You enjoy owning problems end to end, from the early exploration of the problem through to releasing things to customers and understand that often doesn’t involve writing code.
Bonus points (but we’d still like to hear from you if you don’t have experience in any of these)
Experience working with PDF and text data (natural language processing) is a plus.
Experience in working with satellite imagery data is a plus.
Experience in productionising deep learning models for text or image processing is a plus.
Experience working with geospatial data in Python (geopandas, xarray, rasterio, etc) is a plus.
Practical knowledge of software engineering concepts and best practices, inc. DevOps, DataOps, and MLOps would be considered a plus
Research has shown that women are less likely than men to apply for a role if they don’t have experience in 100% of the requirements outlined in a job description. Please know that even if you don’t have experience in all the areas above but think you could do a great job and are excited about shaping company culture, finding great people, and building great teams, we’d love to hear from you!
What we’ll offer:
Competitive renumeration and opportunity for equity in a rapidly growing VC-backed start-up through share optionsAbility to learn and develop alongside a range of sector specialists from the scientific, technology, economic and business community Opportunity to be part of a fast-growing data organisation that is central to the company, with clear opportunities to set the pace and vision for the team and to either develop in the future as an IC, into a deep tech expert in carbon markets, or as an engineering manager, leading the day-to-day of the team.Flexible working arrangements: A central London office space (Angel) if you wish to work from an office, but opportunity to work completely remote as well.
Our interview process:
Initial screening interview (15-30 mins)Technical experience interview with Chief Data Strategist (60 mins)Final interview (1hr) with senior management
Reference checks + offer
We value diversity at BeZero Carbon. We need a team that brings different perspectives and backgrounds together to build the tools needed to make the voluntary carbon market transparent. We’re therefore committed to not discriminate based on race, religion, colour, national origin, sex, sexual orientation, gender identity, marital status, veteran status, age, or disability.


Lead Applied Data Scientist Commercial Business

What we do
At Civis Analytics, we bring objective, data-driven truth to organizational decision-making—from the boardroom to the world’s largest progressive social causes.
This mission isn’t an aspiration: it’s something we see realized every day, and it brings purpose to everything we’re working on.
We combine a sophisticated SaaS product with our specialized data science consultancy to empower tens of thousands of active users to make millions of data-driven decisions every month. From joining disparate data sources and automating reporting, to building more elaborate models of targeted audiences and optimizing messages for them, organizations like the Bill and Melinda Gates Foundation, the City of Boston, and iHeart Radio trust Civis’s technology to make their most critical decisions.
Core to our product and consulting offerings is Civis Platform, which makes it easy to import, manage, transform, analyze, and report on data. Our customers love Civis Platform because it empowers them to focus on finding data-driven answers to their most critical questions—in other words, we empower them to run their business, rather than running a tech stack.
Learn more about Civis at www.civisanalytics.com.
All employees either must be fully vaccinated against COVID-19, initiate vaccination before your start date, or file an exemption request prior to start date per company policy for review. Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles.
Job Description
We are currently seeking an Applied Data Science Lead to play a pivotal role in powering Civis’ growth within the Media & Insights sector. You will lead end-to-end delivery of client solutions, including initial business development, problem scoping, and delivery. You will help grow Civis' business by delivering excellent work and identifying new strategic growth opportunities for the company.
The Applied Data Science (ADS) team is the consultancy arm of Civis Analytics, working closely with companies to help solve their toughest challenges with data science. ADS Leads manage, supervise and mentor a team of Applied Data Scientists to deliver analytic solutions to our clients that help inform some of their biggest decisions.
ADS Leads work closely with teams across the company, including engineering, product, legal, finance, and sales, and often they find themselves managing cross-functional teams to advise, oversee, and communicate their work internally and externally. They lead the scoping of their projects as the face of Civis, and they help grow Civis' business through delivering excellent work and identifying new strategic growth opportunities for the company.
Responsibilities

Manage and lead a team of applied data scientists, as well as cross-functional client delivery teams, that provides analytics and survey research consulting to achieve our clients’ business goals through the usage of Civis’ services and technology.
Partner with technical, product and sales teams to establish a strategy that accomplishes a client's strategic goals.
Design the scope and analytics roadmap for clients. Manage a team through the process of solving some of our clients’ hardest problems; defining the client’s problem, designing a solution, and delivering high-quality work
Own engagements end-to-end for clients that may include Fortune 500 companies or high-profile startups
Grow Civis' business by delivering excellent work to existing clients, identify new strategic growth opportunities for the company, and developing expertise and credibility in media data science and quantitative survey research
Develop and manage relationships with senior clients and decision makers and is responsible for all client-facing communication and work product
Lead the research design of their projects, including statistical and data management methods, soliciting input from subject matter experts when needed
Ensure that all deliverables provide substantive value to clients, adhere to our standards, and further our mission
Manage and mentor teams of data scientists
Some limited travel required (typically <10%)

Minimum Qualifications

Bachelor’s degree in an analytical subject (e.g. statistics, math, social science, etc) or business (marketing, economics, etc.)
A strong foundation in statistics and data analytics expertise in survey research and statistical modeling. This will be demonstrated by having 5+ years of experience working with large data sets to solve real-world business challenges
Experience managing teams to complete products within scope and on time
Proficiency in SQL and/or statistical packages (R, Python, STATA, etc)
Excellent interpersonal and communication skills
Demonstrated history of delivering high-quality analytic work to decision-makers in a client services or internal consulting / research environment

Preferred Qualifications

Advanced degree in an analytical subject (e.g. statistics, math, social science, economics, etc.) or Masters in Business Administration
Experience with media science solutions and studies (media mix / optimization, attribution, etc.) a plus
Familiarity with machine learning, and causal inference a plus
Experience working for a consulting, services, or advisory firm
Experience writing proposals, building cost and pricing estimates of proposed work, and selling the work to new or existing clients

Who we are
Civis offers opportunities for newcomers, seasoned professionals, and anyone in between. Our teams are energized by complex challenges and value diversity of thought. Opportunities to stand out and inspire happen daily, and we trust and encourage you to act on your ideas—no matter how big they are.
We offer you the tools and community you need to do your best work. Each of us is committed to holding ourselves accountable for results, challenging the status quo, and finding new ways to help our company—and each other—grow.
Why join our team?

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

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

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


Associate Data Scientist Carbon

We are an international AgTech startup pioneering an ambitious program to solve some of our toughest climate and economic challenges. Through the use of data-driven insights, natural microbiology, and innovative digital technologies, Indigo Ag is partnering across the supply chain to create scalable climate solutions that both improve the farmers’ bottom line and reduce atmospheric greenhouse gas levels.
Our mission is unique, and therefore our teams are too: from multigenerational farming gurus who understand the land as though it were an extension of themselves, to cutting-edge techies on the frontier of innovation, our teams are a reflection of the range of the stakeholders we serve: the Earth, the Farmer, and the Consumer.
Indigo’s Core Modeling team builds tools to quantify the environmental benefits of changing the way farming is done. We are looking for a data scientist to help build the next generation of modeling and quantification tools that will enable carbon sequestration in agricultural soil to reach the gigaton scale. In addition to working closely with the engineers, scientists, and data scientists on the Core Modeling team, the candidate will be a member of the broader community of data scientists working across Indigo, creating opportunities to learn from and collaborate with fellow data scientists.
Responsibilities:
Using a mix of external data and our rich proprietary data, leverage a range of skills including statistics, modeling, machine learning, simulation, analytics and data visualization to enhance existing models and to push the state of the art.
Improving models:

Modernize the techniques and datasets used by models to predict carbon sequestration and abatement
Collaborating with biogeochemical scientists and other data scientists, improve the way in which the uncertainty of emissions reduction is quantified
Contribute to calculating the permanence of carbon in the soil; summarize the results of permanence and other long-term monitoring

Estimating emissions reduction at small scales:

Shape the way that growers are compensated for removal and abatement of greenhouse gas emissions by conducting analyses, deriving insights, and helping to implement solutions in production
Contribute tools that give growers insights into their sequestration and abatement

Sample design and survey statistics:

Support the adoption of new, more efficient sample designs for choosing where and how to collect measurements
Analyze and summarize potential sources of bias by leveraging existing tools and extending them to be more capable

Reporting:

Conduct analyses at multiple points in the calculation of carbon credits and document them so that they can be shared with verifying bodies
Implement reporting for new carbon projects, in collaboration with engineers and the policy team

Competencies:

Eagerness to learn about new areas. We work on a lot of different topics—from carbon accounting to soil science to survey statistics to regenerative agriculture—and candidates need not be familiar with all these topics on day 1.
Collaborate on data exploration and reporting with teammates using a version control system, working in SQL and Python
Understand and manipulate data to create visualizations with actionable insights for internal and external consumption. Make creative and aesthetically appealing visuals that tell a story to enable clear and impactful action
Collaborate well cross-functionally in a professional and effective manner. Balance and prioritize competing demands to create the highest overall value
Translate functional requirements into easy-to-use, flexible reporting solutions
Articulate complex ideas and concepts into understandable insights that enable decisions for specific audiences
Refine broad or ambiguous goals into clear questions and actions
Demonstrate outstanding problem-solving skills
Actively seek answers to questions as a self-starter

Qualifications:

BS or higher in a technical field and/or relevant industry experience.
Technical Requirements:

1+ years experience with Python (or 1+ years experience with a similar language such as R, Matlab, etc., and an eagerness to learn Python)
SQL familiarity (deep expertise is not needed)
Familiarity with a visualization framework (e.g., matplotlib, ggplot)
Experience with version control (preferred)

Experience working cross-functionally:

Experience working with agile software development teams (preferred)
Ability to work with diverse stakeholders to translate ambiguity into clear project requirements

Experience working in a fast-paced, growth environment

Benefits:

Health, dental, and vision insurance for you and your family
Generous time off
Parental leave
A remote-first organization with flexible work hours
401(k) plan

Indigo is committed to living our values, specifically creating a work environment where everyone feels respected, connected, and has opportunities to learn and grow. As part of living our values, we strive to create a diverse and inclusive work environment where everyone feels they can be themselves and has an equal opportunity of succeeding.


Senior Data Scientist North America

Senior Data Scientist - United States or Canada (Remote)

Duration: Permanent
Location: United States or Canada (Remote)
Start: ASAP

Due to the current conditions of COVID-19, this key position will initially work from home, until such a time when we return to our office.

Who You Are:
We are looking for a Senior Data Scientist in generative AI. Using your depth of artificial intelligence and machine learning expertise while considering the broader business context, you will develop and work with partners to develop industry-leading models powering content discovery and creation. This position will have a direct impact on the content decisions of millions of customers!

Your Next Challenge:

Research, prototype, build and evaluate industry-leading models using our images, videos, metadata, and/or customer interactions to significantly improve our customers’ content discovery and selection experience
Develop our technical generative AI roadmap alongside product, team members, and leadership. Distilling customer requirements into problem definitions and identifying technical solutions
Develop and implement online and offline testing and validation methodologies
Partner with 3rd parties and APIs to assess, evaluate and integrate their technology, where appropriate
Partner with product, user research, design, and engineers to test and learn and develop industry-leading user experiences

What You’ll Need:

Experience building and validating image/video generation or modification models. Professional or research experience.
A minimum of 3 years validated experience building machine learning models in production settings
Validated expertise partnering with product, user researchers, and designers developing novel user experiences afforded with new technologies
Hands-on experience with accessing data, Python, machine learning libraries, compute, and deep learning architectures and libraries (ex: TensorFlow, GANs, transformers, spark, AWS, GPU optimization, etc.)
Ability to rapidly prototype solutions
Ability to write clean, understandable code that follows leading industry standards and practices and is well-documented, and to build easily reproducible models
An ability to consider biases that exist in the data and models and develop solutions to mitigate biases appropriately
Outstanding interpersonal skills. Ability to communicate at all levels, including explaining sophisticated technical solutions to non-experts
Open listener, ability to be open to many diverse voices and perspectives
You are clear, credible, and forward-thinking!
Nice-to-have: background in image processing techniques for image editing
A Ph.D. or MS in Computer Science, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any equivalent field is helpful

Mental and Physical Demands:

Frequent communication with others to exchange information.
Frequent sedentary work that primarily involves sitting/standing; Time of each will vary.
Constant operation of computer and frequent usage of other office machinery, including (but not limited to) calculator, copy machine, computer printer, etc.
Frequent repetition of motions and gestures that may include the wrists, hands and/or fingers. (Required)

Due to the current conditions and impact of Covid-19, this key position will initially work from home, until such a time we open our offices. At the time of the local office opening, employees and managers will partner to determine the work site location in line with our Flexible working policy.

Benefits at Getty Images

Health Insurance
We provide Medical, Vision, and Dental insurance for you and your family. We partner with Meritain (An Aetna Company), and CVS Caremark to provide you with two options for medical coverage - a POS plan and an HSA-qualified (Health Savings Account) Plan. The POS plan comes with a $200 per year Getty Images contribution to an FSA account. If you enroll in the HSA plan, Getty Images will give you $1400-$2400 per year to spend on any qualified health expenses. Dental insurance is available through Delta Dental. Vision Insurance is available through VSP. All full-time employees working at least 25 hours per week will become eligible for health benefits the 1st of the month following their date of hire. Contributions to health care accounts are prorated based on the date of hire.  For more information on these benefits, you may request an electronic copy of our Benefits Guide.

Time off Work/life balance is important to us
We provide flexible time off and 10 sick days each calendar year. Additionally, we pay 4 weeks of fully-paid Parental Leave for new parents, with primary caregivers eligible for an additional 8 weeks of fully-paid leave.

Company Paid Holidays
Employees enjoy company-paid holidays for each of our global locations.

Disability and Life Insurance
We automatically enroll and pay for Basic Life and Accidental Death and Dismemberment Insurance (AD&D) up to 2 times your annual salary. We also provide you with fully paid Short-Term Disability and Long-Term Disability Insurance.

Employee Assistance Program
Employees have access to free, confidential assistance for everyday problems such as stress management, financial coaching, marital or family issues, substance abuse, occupational problems, and referrals for legal, childcare, and eldercare services. Employees can seek additional discounts on other wellness activities such as travel, gym memberships, and sports! Through our EAP services, employees are also eligible for 3 free counseling visits and life coaching sessions.

401(k)
Start saving for retirement! Getty Images matches up to 4% of your deferred compensation, with immediate vesting – that means all of Getty Images employer match money is automatically yours – with no waiting period!

Learning & Growth
We value continuous learning and development to help everyone develop their skills. Enjoy mentorship, curated training & more.

__________________________

Covid-19 Company Statement:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing may be mandated by the relevant local laws with which Getty Images will comply. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).

US Specific:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing has been mandated by the Biden administration and that mandate applies to our US workforce. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).

Who We Are:
For over 25 years, Getty Images has embraced disruption and change; riding the digital wave to evolve from a fragmented, analog stock photo business into a multi-billion dollar, global e-commerce industry leader and trusted brand. The breadth and quality of our content has always allowed our customers and partners to tell their stories with greater creativity and accuracy, eliciting more emotion and enabling more action.

Help us move the world with images!
Getty Images is the most trusted and esteemed source of visual content in the world available through its industry-leading sites www.gettyimages.com and www.istock.com. The Getty Images website serves creative, business and media customers in almost 200 countries and is the first-place people turn to discover, purchase and share powerful content from the world's best photographers and videographers.

Getty Images works with over 360,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport and entertainment events, impactful creative imagery to communicate any commercial concept and the world's deepest digital archive of historic photography. With over 440 million assets, of which over 320 million are digitized, encompassing the latest global news, sports, celebrity, music and fashion coverage; exclusive conceptual creative images; and the world’s largest commercial archive. New content is added daily, with 8-10 million new assets added each quarter.

Getty Images offers the most exclusive and unique creative and editorial visual content globally. The breadth and quality of our content allows our customers and partners to tell their stories with greater creativity and accuracy, thereby eliciting more emotion and enabling more action. Getty Images moves the world —whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving. Getty Images offers the highest quality and most diverse visual content, based on industry-leading expertise and innovation.

Leadership Principles

As a company, we're committed to living these Principles every day. Here's how we support our mission to be the best place to work globally.

We are trustworthy, transparent, and honest
We love character, authenticity, and integrity.

We always raise the bar
Excellence is our norm; we get better through endeavor, curiosity, and speed.

We collectively bring solutions
We love debate, but collaborating to solve problems for ourselves and our customers is everyone’s responsibility.

We care, are kind, courteous, and respectful
We will not tolerate rudeness.

We reject biased behaviour and discrimination
We seek to understand biases in all forms. We call out biases and discrimination when observed and take action where responsible.

We are inclusive of different voices, perspectives, and experience
Diversity and inclusion are never done, but we are passionate in their pursuit.

We are one Getty Images with no silos
We share goals and accountability; we and actively seek information and expertise; we make time for our peers.

We deliver on our commitments, and commercial goals
With one voice and shared accountability.

We put the customer at the heart of everything we do
We listen to, anticipate, and exceed customer needs, adapting as they evolve.

We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Women, gender-nonbinary, people of color, LGBTQIA+ people and people with disabilities are encouraged to apply.

Getty Images is committed to providing Reasonable Accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance to search for a job opening or to submit an online application, please email RecruitingAccommodations@gettyimages.com.

Visit Getty Images at www.gettyimages.com to learn more about how the company is advancing the unique role of still and moving imagery in communication and business, and enabling creative ideas to come to life.

For company news and announcements, visit our Press Room, and for the stories and inspiration behind our content, visit Stories & Trends.

Find Getty Images on Facebook, Twitter, Instagram, LinkedIn, Pinterest and Tumblr, or download the Getty Images app where you can explore, save and share the world's best imagery.

Getty Images is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment which celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs.