Data Scientist

We're Karat, the leader in technical interviewing and pioneer of the Interviewing Cloud

Karat’s purpose is to unlock opportunity, and we built the world’s first Interviewing Cloud to conduct predictive, fair, and enjoyable technical interviews 24/7. Karat helps companies expand interviewing capacity, unlock developer time, and raise engineering quality so they can hire smarter and grow faster, and create more opportunities for software engineers. From our industry-leading solutions to Karat’s Brilliant Black Minds program, the work we do here matters. We’re a team of passionate, focused, human-centric team, and we want you to join us!
Come join our Data Science team
Our Data Science team is committed to partnering in exploratory data analysis, conducting experimentation, and building and automating data-driven product features. We conduct research and development needed to make technical interviews more predictive. Working on the Data Science team, you will shape the future for the intelligence and efficiency of our product.
What you will do
As a Data Scientist at Karat, you will collaborate with Data Analysts, Data Engineers, and Software Engineers to design, implement, and scale our data processing and modeling platforms. You will be responsible for determining the feasibility of producing predictive models from available data to meet specified product requirements.
Karat’s HQ is based in Seattle, Washington, but we are open to remote candidates for this role (within the U.S.). Immigration sponsorship is not available for this position.

Identify experimentation, automation and efficiency needs for Karat's business and product teams, understanding their goals and metrics in order to conduct research to identify potential solutions.
Design, build, and deploy efficient and reliable cloud-based data modeling pipelines to deliver automation and predictive modeling services.
Help refine our interview data processes to increase the signal captured in every minute of our interviews and maximize the value provided to our customers.
Investigate new data sources and methods for combining multiple data sources to support new types of data analysis, modeling and new product features
Identify methods for automating existing manual business processes
Help manage and advance our experimentation platform to support testing new features and making intelligent product development decisions
Protect Karat's data processes against quality issues. Design and develop data modeling performance monitoring.
Support our engineering teams by reviewing code and designs as-needed
Nurture data conversations within Karat by educating teammates about data science and machine learning.

The experience you will bring

3+ years of tech industry experience in data science, machine learning, software engineering, or other related roles
Bachelor’s degree in Economics, Statistics, Computer Science, Operations Research, Engineering, a natural science or equivalent quantitative subject (or equivalent experience) preferred
Proven experience applying machine learning to solve business prediction and automation challenges
Strong data analysis and scientific thinking skills
Experience with Python and related data science and machine learning libraries a plus
Significant experience with relational databases with a strong knowledge of SQL and data modeling best principles
Experience with data visualization and presentation, data analytics and BI tools, and cloud services
Experience with — and a knack for — communicating technical work to partners
Professional familiarity with marketplaces solving problems at the intersection of supply and demand a plus

Benefits of joining Karat
Karat strives to offer everything you need to best support you today, tomorrow, and beyond. We’re proud of our current offerings, and highlight some of our team’s favorites below. There are more, just feel free to ask!
Compensation / Time Off:

Highly competitive salary and stock options
Generous paid PTO (see below) and Sick Leave (10 days per year)
Flexible Time Off Policy for salaried positions
Three weeks accrued per year for hourly positions
Parental Leave (12 weeks paid with transition back to work in part-time capacity)
18 paid Company Holidays for 2021

Benefits / Wellness:

Medical, dental, and vision insurance via Cigna or Kaiser (for CA-based employees)
100% premium covered for employees
70% premium covered for dependents
FSA, STD, LTD, Standard Life Insurance, and Optional Life Insurance
Mental Wellness offerings such as Calm, Happify, Talkspace, Modern Health, and more
$150 per month contribution to miscellaneous benefit/wellness of employee’s choice

Learn more about us

Statement of Non-Discrimination:
In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at Karat.
We value a diverse workforce: people of color, womxn, and LGBTQIA+ individuals are strongly encouraged to apply.
If you have a disability or special need that requires accommodation, please let us know at people@karat.com.


Data Scientist

The Company

Outschool's mission is to inspire kids to love learning. We achieve this by linking learning to kids’ interests, connecting them with other classmates who share their passions, and giving them the autonomy to pick their own paths. Our small group classes meet over live video chat with teachers who celebrate their unique strengths and empower all learners to develop confidence and a strong sense of self.

We're also focused on removing barriers for historically underserved learners who face systemic challenges to their success. In 2020, we started Outschool.org and began offering financial assistance to families in need. We are currently creating an Educator Endowment Fund to appreciate the teachers who are so central to our mission of inspiring kids to love learning.

We believe that diversity drives learning. To meet our mission, we encourage, support, and celebrate different ideas, perspectives, and backgrounds. As a fully distributed (remote) team, we challenge one another to find the most effective way to empower learners, teachers, and parents. Your name, race, religion, gender, nationality, sexual orientation, and age are not barriers; they are why we want to work with you. We invite talented and creative candidates who value the importance of nurturing a child's boundless curiosity to join us on this journey.

The pandemic has been challenging for families all over the globe. We acted quickly and worked together to provide quality resources to learners, parents, and teachers in the past year. As communities worldwide rethink their approach to education, Outschool will continue to innovate and provide kids with unique opportunities to explore their passions.

Earlier this year, Techcrunch recognized Outschool as the newest EdTech unicorn. We've also been named Fast Company’s most innovative EdTech company in the world, and one of the top ten best startups for women from Elpha.

The Role

Data plays an important role in how we make decisions at Outschool. As a data scientist at Outschool, you’ll have an opportunity to work cross-functionally with teammates from Product, Marketing, Operations, and other internal teams as they tackle a variety of challenges and opportunities. You’ll help shape Outschool’s strategy by sharing key insights, digging into some of our most pressing problems, and finding creative ways to use data to improve our products and services.

CORE RESPONSIBILITIES:

Partner with teammates across the org to translate data into insights and actions
Use visualization, reporting and other tools to improve how teams access/interpret data
Conduct quantitative research to dig deeper into user behavior and product flows
Build models to identify important segmentations and predict outcomes
Implement experimentation and testing frameworks to help improve analytical rigor
Prototype new data-driven features that increase value for our families and teachers

DESIRED EXPERIENCE & SKILLS:

5+ years of experience in an analytics or data science related role
Expert-level SQL and Python skills
Prior experience with funnel reporting, attribution modeling, and cohort analysis
Prior experience with A/B testing and applied statistics (hypothesis testing, regression)
Prior experience building data visualizations in tools like Looker, Tableau, Mode, etc
Ability to initiate and lead projects to completion in a fast-paced environment

OUTSCHOOL CARES:

Shared Financial Success: Competitive salaries, stock options, and investment plans that make saving for retirement easier.

Health & Wellness: Comprehensive health, dental, vision, disability, and life insurance coverage options for employees and their families. Our medical benefits include fertility and family planning coverage. We also provide employees with online access to coaching and therapy sessions through our partner, ModernHealth.

PTO & Family Benefits: PTO and family leave enable our team to take the time that we need to recharge, relax, and spend time with family and friends.

Fully Distributed: With a team distributed across the US and Canada, we create a remote culture through expensable weekly meals, virtual events, expensable home office setup, and internet allowance.

Lifelong Learners: Annual budgets to self-direct our professional development as well as DEI learning. There’s also a budget for employees’ learners to take classes on Outschool!

Community Impact: Outschool matches employee donations to established charities and has committed to donating $3M to Outschool.org non-profit programs.

Outschool is an equal opportunity employer. We view diversity as a moral imperative and competitive advantage. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We plan and structure our interviews to directly assess skills and experience.

Outschool is committed to providing reasonable accommodations to disabled veterans and applicants with physical and mental disabilities. If you need assistance due to a disability, you may contact us at recruiting@outschool.com.

Must be a citizen or legal resident of the U.S. or Canada and reside in U.S. or Canada.


Entry Level Data Scientist

IntroductionAs a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.
Your Role and Responsibilities
Start dates for this role are January 2022 and later
Data scientists are in demand across IBM’s growth areas. If hired, you will be matched to a team based on business demand, location and fit. Join the forward-thinking teams at IBM solving some of the world’s most complex problems – there is no better place to start your career!
What you’ll do as an Entry Level Data Scientist:
You will implement and validate predictive models as well as create and maintain statistical models with a focus on big data.
You will be exposed to and incorporate a variety of statistical and machine learning techniques such as logistic regression, experimental design, generalized linear models, mixed modeling, CHAID/decision trees, neural networks and ensemble models.
You will communicate with internal and external clients to understand business needs and provide analytical solutions.
You will use leading edge tools such as COGNOS, Watson Studio and Watson Machine Learning.
You’ll work in an agile, collaborative environment, partnering with other scientists, engineers, and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors.
Who You Are:
You are great at solving problems, debugging, troubleshooting, and designing & implementing solutions to complex technical issues.
You thrive on teamwork and have excellent verbal and written communication skills.
You have strong technical and analytical abilities, a knack for driving impact and growth, and some experience with programming/scripting in a language such as Java or Python.
You have an interest in, understanding of, or experience with Design Thinking and Agile Development methodologies.
For more information on our other Entry Level opportunities, please visit here.
These are office based positions in IBM locations including the following. Opportunities in these locations will vary based on demand & will be deleted as filled:
CA – San Francisco, San JoseCT – SouthburyGA – Brookhaven, Sandy SpringsMA – Andover, Cambridge, LowellNY – Armonk, NYCNC – Research Triangle ParkTX – Austin, Dallas
Required Technical and Professional Expertise
Understanding of statistical programming in a language such as Python, R or SAS
Experience with programming/scripting in Java, Python, etc.
Preferred Technical and Professional Expertise
Knowledge of statistical concepts such as regressions, time series, mixed model, Bayesian methods, clustering, etc., to analyze data and provide insights
One or more internship or co-op experiences


Director Research Science

Director, Research Science
Seattle, United States- Remote | Senior-Level | Data Science & ML
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LivePerson is a transformational force in how brands and consumers communicate. With over 18,000 brands, including HSBC,  Verizon, and Home Depot, we are on a mission to make life easier for people and brands everywhere through trusted Conversational AI. We believe in a future where conversations are the norm for getting your intentions fulfilled - whatever they are.
We are an innovative, intent-driven company that believes in building the future and we are looking for growth minded, unconventional thinkers, developers and builders to join the team.
You will thrive here if:
You can operate in a fast paced, dynamic environment
You can build partnerships that move our business forward
You build code that is simple, understandable, and clean
You see feedback or failure as motivation to learn and to grow
You believe data-driven decision making is the norm
You relate to our core principles (link) and want to work with Conversational AI experts
We are looking for a director of data science who can help drive our science-forward product strategy and take our research to the next level. Liveperson has billions of goal oriented dialogs between customers and brands, and your job is to help a team of researchers use them to advance our product, by leveraging the cutting edge of language understanding and conversational dynamics. In this role, you will be leading a team of scientists focused on natural language processing, complex measurement of dynamical systems, dialog structure and management, and a range of other problems we have at LivePerson. Your team’s work will be brought to life through a stack based on the latest in open source model management capabilities, focused on painless and effective training and deployment of machine learning at scale.
In this role you will:
Drive a research agenda focused on delivering innovative products, at scale.Help build ongoing collaborations with academic institutions to solve high-order problems, and ensure effective ongoing team building and recruiting.Work cross-functionally with engineering, science, operations, security and executive leadership to set product strategy and vision, launch features, and develop new product opportunities for LivePerson.Create buy in for the research vision both internally at LivePerson and externally across partners.Work with innovative technologies incorporating AI, machine learning and conversational interfaces.
Your qualifications are:
Expertise in delivering machine learned models into products at scaleSignificant theoretical and practical experience within the field of NLP, including within products that incorporate itExpertise in managing a research program in a business settingExperience communicating and collaborating effectively with product and engineering partners, managing shared roadmaps and dependencies.Strong skills communicating with executives and key leaders across the company, and building understanding with them of your team’s role, accomplishments, and requirements for success.Strong written communication; our culture lays emphasis on writing skills and narratives are how we communicate strategy to partners and stakeholders. Knowledge of professional software engineering practices & best practices for the full software development life cycle.Interfaces through to back-end systems and all points in between.Experience working backwards from the customer and delivering innovative, simple solutions.
Why you’ll love working here:
LivePerson was named to FastCompany’s World’s most innovative companies of 2020 list for the Artificial Intelligence category. We offer top tier tech & data science colleagues, along with opportunities to push your own limits. We embrace invention and experimentation. You’ll have great benefits, flexible time off, plus snacks and drinks to keep your mind fresh and stomach full. Most importantly, you’ll have an ability to make an impact at work and at brands across the globe as we build the future with trusted Conversational AI together.
At LivePerson, people from diverse backgrounds come together to do their best work and be their authentic selves. We are proud to be 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, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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Principal Data Scientist

Principal Data Scientist
Seattle, United States- Remote | Mid-Level | Data Science & ML
Apply
LivePerson is a transformational force in how brands and consumers communicate. With over 18,000 brands, including HSBC, Verizon, and Home Depot, we are on a mission to make life easier for people and brands everywhere through trusted Conversational AI. We believe in a future where conversations are the norm for getting your intentions fulfilled - whatever they are.
We are an innovative, intent-driven company that believes in building the future and we are looking for growth minded, unconventional thinkers, developers and builders to join the team.
You will thrive here if:
You can operate in a fast paced, dynamic environment
You can build partnerships that move our business forward
You build code that is simple, understandable, and clean
You see feedback or failure as motivation to learn and to grow
You believe data-driven decision making is the norm
You relate to our core principles (link) and want to work with Conversational AI experts
In this role you will:
Analyzing and drawing insights from large scale conversational datasetsChoosing between many available state-of-the-art methods and tools, and consistently finding the most effective, efficient, stable, explainable, and where possible, simple approachesDesigning and building modern, flexible pipelines and services for delivering and navigating insightsBringing research-driven models to life within production systemsCreating durable, flexible scientific deployment and experimentation capabilitiesWork on challenging unsupervised and semi-supervised problems related to intent and dialog management, and create pipelines to accelerate and scale this effortUsing and presenting research findings in ways that inform and sometimes guide business and product strategyCollaborating on writing research articles for external publication where appropriate
Your qualifications are:
Masters/PhD in Mathematics, Statistics, Operations Research, Computer Science, Machine Learning or a related field, or BSc + ExperienceAnalysis, problem-solving, communication, and critical-thinking skillsCore strength in Statistical models, e.g., for significance testing, forecasting, regression, hypothesis testing,  record-linkageUnderstanding of ML fundamentals, ideally including Deep LearningStrong hands-on programming skills, e.g., Python, R, SQL, any major OO languagesExperience with frameworks for Statistical Analysis, Machine Learning, Distributed Computing (Pandas, Scikit-Learn, Hadoop, Spark, etc.)Ability to efficiently write, test, monitor, and improve production-quality codeCuriosity and interest in learning new applications and toolingAbility to work closely with teammates in a highly collaborative environment, as well as providing strong individual contributionsProduction ML evaluation and monitoring performance once completed
Why you’ll love working here:
LivePerson was named to FastCompany’s World’s most innovative companies of 2020 list for the Artificial Intelligence category. We offer top tier tech & data science colleagues, along with opportunities to push your own limits. We embrace invention and experimentation. You’ll have great benefits, flexible time off, plus snacks and drinks to keep your mind fresh and stomach full. Most importantly, you’ll have an ability to make an impact at work and at brands across the globe as we build the future with trusted Conversational AI together.
At LivePerson, people from diverse backgrounds come together to do their best work and be their authentic selves. We are proud to be 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, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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Senior Pricing Scientist

Senior Pricing Scientist
New York, United States- Remote | Mid-Level | Data Science & ML
Apply
LivePerson is a transformational force in how brands and consumers communicate. With over 18,000 brands, including HSBC, Disney, Verizon, and Home Depot, we are on a mission to make life easier for people and brands everywhere through trusted Conversational AI. We believe in a future where conversations are the norm for getting your intentions fulfilled - whatever they are.
We are an innovative, intent-driven company that believes in building the future and we are looking for growth minded, unconventional thinkers, developers and builders to join the team.
You will thrive here if:
You can operate in a fast paced, dynamic environmentYou nerd out about AI, how it can be applied, or how you can learn more about it (don’t worry we’ll help)You believe data-led decision making is the normYou see feedback or failure as motivation to learn and to grow You relate to our core principles (link) and want to work  with experts in their respective fields
Job Mission
As LivePerson’s Senior Pricing Scientist, you drive our pricing strategy to grow LivePerson’s revenue and deliver value to our customers. You derive your insights and recommendations through rigorous data-driven modeling paired with close collaboration with our marketing, sales, and product leadership. You also get involved directly in some of our deals to generate new ideas and stay close to the customer.
You ensure that any recommendations you provide are highly actionable and can easily be explained to internal and external audiences. Finally, you build on top of our unit economics models, allowing for an even more reliable view of margins at the product and customer level paired with actionable recommendations for the sales, marketing, and product teams.
In this role you will:
 Rapidly immerse yourself in our billing and usage data, and learn about our products. In collaboration with our strategic pricing leader you develop a pricing strategy that aligns with our revenue and adoption goals and is enthusiastically received by the leadership within months of onboarding. you socialize the strategy and ensure cross organizational buy-in by  partnering with our strategic pricing leader,Further, you share usage insights with our sales, product, and marketing teams to influence strategic decisions across the company.Finally, you conduct quarterly executive level reviews on pricing performance and provide go forward recommendations.
Your qualifications are:
5+ Years of experience delivering and implementing pricing strategy in the software industry (SaaS) with deep knowledge of pros and cons of various SaaS based pricing strategiesA proven track-record of developing trusted relationships with executives and working effectively across functional boundariesSolid experience in statistics, and causal inference Proficiency in translating business objectives into models that lead to actionable recommendationsAbility to write Python code that is efficient and clean (SQL expected)Master in Economics, Marketing with Pricing Focus, Statistics or similar. Ph.D. strongly preferredDemonstrated ability to independently uncover insights and relationships across numerous datasets
Why you’ll love working here:
LivePerson was named to FastCompany’s World’s most innovative companies of 2020 list for the Artificial Intelligence category. We offer top tier tech & data science colleagues, along with opportunities to push your own limits. We embrace invention and experimentation. You’ll have great benefits, flexible time off. Most importantly, you’ll have an ability to make an impact at work and at brands across the globe as we build the future with trusted Conversational AI together.
At LivePerson, people from diverse backgrounds come together to do their best work and be their authentic selves. We are proud to be 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, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Upload your resume
(PDF, Word, or Rich Text)
*
First Name*
Last Name*
Email*
Phone Number*
Are you currently eligibile to work in the United States? *
YesNo
Do you now or in the future require visa sponsorship to continue working in the United States? *
YesNo
Privacy Policy
You acknowledge that information submitted to LivePerson is subject to LivePerson's General Data Protection Regulation Candidate Privacy Notice (applicable only to EU candidates) and California Consumer Privacy Act Privacy Notice (applicable only to California candidates). For all other applicants, you may disregard this notice and click confirm to submit your application.
Confirm *
Submit Application


Data Scientist

Thorn is a non-profit focused on building technology to defend children from sexual abuse. Working at Thorn allows you to apply your skills, expertise, and passions to directly impact the lives of vulnerable and abused children. Our staff solves dynamic, quickly evolving problems with our network of partners from tech companies, NGOs, and law enforcement agencies. If you can operate well in a complex and quickly changing environment and are able to talk specifically about heavy issues while bringing positivity to your work and colleagues, you could be an excellent fit for our team.
In 2019, we took the stage at TED and shared our audacious goal of eliminating child sexual abuse material from the internet. A key aspect of our work is keeping abreast of the new ways technology is used to sexually exploit and abuse children and building the right technology in response to combat this, as well as building technology to support the broader child safety ecosystem in combating online child sexual abuse.
About the role:
As a Data Scientist, you build machine learning models to add intelligence to your team's product. You will uncover valuable insights, to expand and build on our existing and future products. The work you will do will be a combination of finding quick wins and developing longer term research. You will collaborate closely with Engineering and Product to identify insights and build models that will make an invaluable impact. You will be responsible for acquiring data, crafting and performing analytical experiments in a disciplined manner, evaluating and iterating on results, and discussing results with your team. When you and the team conclude that the model or insight is ready to be shipped, you will partner with members of the Engineering team to simplify, architect, and implement an infrastructure for continuous deployment.
What You'll Do:

Research and develop statistical modeling for data analysis.
Build machine learning models to help end online child sexual abuse.
Provide business analysis to help streamline workflows.
Collaborate with team members to drive understanding of product and technology standards needs and devise possible solutions.
Discuss results and ideas with key partners, including child victim identification specialists, relevant law enforcement, and technology companies.
Implement new statistical methodologies as needed for specific models or analysis, prioritizing fairness in design and build.
Work with Data Science and Engineering team members on deploying insights and models and continuous model training and deployment.
Keep up-to-date with the newest developments in data science and machine learning.

What We’re Seeking:

A commitment to putting the children we serve at the center of everything you do.
You have experience designing, building, and deploying computer vision (traditional and deep learning) applications for production use cases.
You have a background in data science and statistical analysis.
You have an ability and interest in learning new technologies quickly.
You have a passion for machine learning and an aptitude to work in a collaborative environment, can demonstrate empathy and strong advocacy for our users, while balancing the vision and constraints of engineering.
You communicate clearly, efficiently, and thoughtfully. We’re a highly-distributed team, so written communication is crucial.

Technologies we use:
You should have at least one year of professional experience with these:

Tensorflow or PyTorch
OpenCV (or equivalent image manipulation library)

You should have non-trivial experience with at least a few of these, but we’re open to teaching folks that have the desire and ability to learn the rest.

Pandas
Scikit Learn
Spacy, HuggingFace for NLP
Jupyter

At Thorn, we understand the value of developing a team with different perspectives, educational backgrounds, and life experiences. We prioritize diversity within our team and encourage people from underrepresented backgrounds to apply. Your skills are needed here.


Data Scientist

OpenSea is the first and largest marketplace for non-fungible tokens, or NFTs, which are digital goods endowed with property rights. Applications for NFTs include collectibles, gaming items, domain names, digital art, and many other items backed by a blockchain. NFTs have brand new properties that go beyond traditional digital items: they’re unique, provably scarce, liquid, and usable across multiple applications. At OpenSea, we're excited about building a brand new economy from the ground up based on true digital ownership and are proud to be recognized as  Y Combinator's #27 ranked top private company.

When hiring candidates, we look for signals that a candidate will thrive in our culture, where we default to trust, embrace feedback, grow rapidly, and love our work. We also know how critical it is to celebrate and support our differences. Employing a team rich in diverse thoughts, experiences and opinions enables our employees, our product and our community to flourish. We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

We're looking for an experienced and entrepreneurial data scientist to develop insights and frameworks that guide the product roadmap, understand causal inference of products we roll out, and build models that help elevate our business at scale. This individual will be the first data science hire at Opensea.

Responsibilities
- Define the right metrics to measure the success of the product/ marketplace and the business.
- Performing quantitative analysis and building dashboards that informs product roadmaps and diagnoses the health of the business across our marketplace.
- Contribute to experiment design and interpret the results to draw detailed and actionable conclusions.
- Building machine learning models that help improve our customer experience and enhance operations.
- Working with data engineers and rest of the engineering team to build data stack and data pipelines.

Desired Experience
- 5+ years of experience in data science/ data analytics fields.
- Experience in SQL, Python/R, Airflow, Looker, and Spark.
- Strong quantitative background and experience with statistical analysis.
- Strong cross-functional skills and ability to operate under ambiguous and fast moving problem spaces.
- Potential to grow into a leadership position as the team expands.
- (nice to have) A passion or growing interest in decentralized technologies.
- (nice to have) An understanding of the basic mechanics of blockchain applications and dApps.


Data Scientist Credit

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.
About the Role
Gusto is looking for an ambitious Data Scientist with a solid grounding in statistics and credit risk and at least a few years experience applying this knowledge in a business environment. In this role you will work closely with other members of our Data Science team, as well as our Engineering, Product, Design, and Risk Operations teams to define and track product metrics, contribute to credit underwriting tools and models, design customer-facing experiments and dive deep into our Payroll, Benefits and HR data to deliver insights.  Gusto’s Data Science team operates full-stack, working closely with product managers to apply data insights to strategy and product decisions, conducting analyses, prototyping and deploying predictive models and statistical tools both for internal use and for our customers.
Here’s what you’ll do day-to-day:

Work closely with product groups to define, measure and report on core product and feature metrics, and to define standards and practices for how product groups work with data
Build and deploy models and data products to support growth and control risk within our segment
Perform in-depth analyses of our Payroll, Benefits and HR product data to inform and guide product direction and strategy
Design and analyze customer-facing experiments
Work with our business intelligence teams to turn your insights and analyses into clean and consistent reporting
Be a strong voice for a data-informed point of view within our engineering, product and design organization
Collaborate with UX research to design surveys and provide quantitative insights on customer experience
Enhance and contribute to the team’s core analysis and modeling systems and libraries
Identify new opportunities to leverage data to improve Gusto’s products and help our business
Present and communicate results to stakeholders across the company

Here’s what we're looking for:

At least 5-10 years experience conducting statistical analyses on large datasets, ideally in financial software or finance industries. Specific experience with credit risk modeling is a plus.
Experience applying a variety of statistical and modeling techniques using Python, R or another statistical modeling language, as indicated by familiarity with many of the following techniques - generalized linear modeling, regularization, ensemble models (e.g., random forest, gradient boosting), Bayesian analysis methods
Strong programming skills in SQL - comfortable with all phases of the data science development process, from initial analysis and model development all the way through to deployment
Strong knowledge of statistics and experiment design and ability to apply these to conducting and interpreting analyses, data visualization, presentation and recommendations
Excellent communication skills - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion
Passionate about teaching and evangelizing a data-informed approach to product development to product managers, designers and engineers
PhD or Masters plus equivalent experience in a quantitative field

Our cash compensation amount for this role is targeted at $127,000-$206,000/year in Denver & most remote locations, and $154,000-$243,000/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 at Gusto.
Gusto 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. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is 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.
#LIRemote


Data Science Manager Consortium Network

Founded in 2012, Socure is the leader in digital identity verification technology at account onboarding and beyond. Our predictive analytics platform applies artificial intelligence and machine learning techniques, with trusted online/offline data intelligence from email, phone, address, IP, device, velocity, and the broader internet to verify identities in real-time. We have more than 750 customers across the financial services, gaming, telecom, and ecommerce industries, including four of the top five banks, seven of the top 10 credit card issuers, three top MSBs, multiple tier-one payroll providers, the top credit bureau, and over 100 of the largest and most successful fintechs such as Varo Money, Public, Chime, and Stash. Socure is now offering its solutions to public sector agencies.
We are also funded by some of the world's best investors, including Accel, Scale Venture Partners, Commerce Ventures, Citi Ventures, Wells Fargo Strategic Capital, Capital One Ventures, and more.
Our trophy case includes numerous industry awards and accolades, including being named one of Forbes America’s Best Startup Employers 2021 as well as the Best New Technology Introduced over the Last 12 months – Data and Data Services at the 2020 American Financial Technology Awards (AFTAs), being ranked #70 on Deloitte’s Technology Fast 500™, getting listed as a Gartner Cool Vendor, and winning Finovate’s Award for Best Use of AI/ML, to name a few.
The only way we can further our mission of becoming the single, trusted source of identity verification and eliminating identity fraud is by building the best team on the planet. This is where you come in.
The Role:
We are looking for an innovative Data Science leader to bring our Risk Insights product suite  to life. Through this recently launched initiative, Socure is quickly expanding its industry-leading fraud solutions to address the unique challenges presented by first-party fraud. The aim of Risk Insights is to create actionable intelligence that will further enable account opening and real-time money movement across financial institutions, online gaming sites, crypto exchanges, and any trusted entity that transacts with consumers online.
This Data Science leader will be integral in shaping the strategic direction of the Risk Insights initiative. As a new space for Socure, we are looking for someone who is energized by data exploration and rapid prototyping as we work to develop best-in-class solutions. Developing a deep understanding of first-party fraud through data is the key to unlocking value, and you will be closely partnering with Product and Engineering to define the team's roadmap.
Reporting to SVP of Data Science and partnering closely with VP of Product, Risk Insights, you will be at the center of one of Socure’s most strategic projects.
What You’ll Do:

Build, hire and lead a team of all-star data scientists
As a player-coach, lead and execute complex modeling/machine learning projects and new product development from concept to delivery
Develop machine learning, data mining, statistical, and graph-based algorithms designed to solve complex problems in fraud and identity theft
Analyze large data sets to develop multiple, custom models and algorithms to drive innovative correlations for fraud and acceptance data as well as social data
Implement new data modeling solutions and improvements to existing solutions
Integrate new data sources and API third-party products in the main framework
Collaborate with Product, leadership and other key stakeholders to innovate, propose and design a new revenue generating product

What You’ll Bring:

BE/B.TECH/ME/MSc in computer science, applied mathematics, physics, statistics, engineering, or a related technical or quantitative discipline/field
Prior industry experience in payments and first-party fraud
Experience in developing data-driven algorithms in information retrieval, relevance, or machine learning and working with distributed systems
Strong Python, R, Bash/Shell programming background is a must
Prior experience working successfully in a fast-paced, cross-functional environment
Excellent research skills

Nice-to-Haves:

Experience with account and transactional risk predictive modeling
Experience with entity resolution and identity graphs
Experience with data workflow managers such as Airflow, Drake, or Luigi
Experience with cloud ecosystems such as Microsoft Azure, Google Cloud Platform or Amazon Web Services

Perks & Benefits:

Competitive base salary
Equity - every employee is a stakeholder in our upside
Medical, dental and vision benefits for employees and their dependents
Parental leave and fertility support
Flexible PTO
401K with company match
Stipend to supply your home office
Annual professional development stipend

A Message on COVID-19:

Socure's number one priority is to safeguard the health and well-being of our team members, our families and our communities. During this unprecedented time, we are closely monitoring COVID-19 developments and updating our response plan quarterly. We are regularly soliciting feedback from our employees to help inform our return-to-office strategy. For our team members who loved going into the office, we are looking forward to meeting once again! But until then, we are striving to ensure that Socureans have the resources and support they need to excel from home. This includes a work-from-home stipend so you can build your home office and fun, virtual events so you can continue to feel connected to your coworkers.

We are an equal opportunity employer and value diversity of all kinds at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Senior Data Scientist Analytics

About User Interviews
At User Interviews, we believe that the best companies in the world consistently deliver products and experiences that their customers love. We also believe that the only way to consistently build those products and experiences is to talk to your customers. Watch what they do. Understand why they do what they do. Figure out why they do things that seem irrational. And once you’ve done that once, do it again. Start having constant conversations. In short, make customers your #1 priority through user research.

That’s why we exist. We help teams set up those conversations, allowing them to discover and embrace user insights. We currently do that by making it fast and easy to talk to customers, or potential customers, to help with product, design, or marketing decisions. We work with hundreds of companies every month, including user-centric organizations like Atlassian, Amazon, and Spotify.

About the Role
The mission of the Analytics team at User Interviews is to own all of the company’s data and to analyze it in ways that help us make better decisions. We work with every team, including Product, Marketing, Sales, Operations, and executives, across diverse data sets. As a Senior Data Scientist, you’ll be involved throughout projects, from planning, to building, to assessing.

Responsibilities

Use analytical skills to create and test hypotheses, and visualization/presentation skills to communicate results to your stakeholders.
Help people across the company use information to make the best decisions possible.
Work with large data sets across multiple problem areas. This includes vetting new datasets as they come in and developing deep intuition about how all of our data fits together.
Own your team's experimentation and modeling.
Focus on automating reporting tools and dashboards so that we can spend more time on the most complex problems.
Work with other Analytics teammates, including Data Engineering, to level up our skills and knowledge.

Some sample projects that the Analytics team has helped with

How can we improve customer retention?
What should the Product team build next? Once it’s built, how does it perform?
How much should we charge for our subscription offering?
What happens when we move a company to a subscription?
What defines success for the Operations team?

Qualifications

Fluency in SQL, and proficiency in either R or Python
Knowledge of statistics and other data analysis methods
Experience working with large, complex datasets, preferably at a software company
Ability to verify, analyze, and present data in ways that other stakeholders can internalize

Nice to Have’s:
Bachelor’s or Master’s in a quantitative field (e.g. Statistics, Mathematics, or Economics); professional experience in Data Science can be a replacement
Experience working with engineering to build good data infrastructure

Benefits

100% premium covered medical + dental employee coverage
Annual membership to One Medical Group & Talkspace

401k + employer contribution
4 weeks of PTO to start + accrue an additional day per year of employment
Unlimited wellness days - Sick? Doctors appointment? Mental health day? We’ve got you covered.
Flexible, paid parental leave
Stock options for every employee
$250 Office setup budget
Annual learning & development stipend
Performance-based incentive plans
Awards for 360-degree recognition, work anniversaries, & birthdays
1-2 team retreats per year (virtual and in-person options)

User Interviews is a fully remote team (even in the before times). We are proactive about staying connected to one another despite not sharing the same physical space. Remote culture is real and we care about it—a lot.

We’re a team of doers. You’ll be fully supported by your manager and team, but there won’t be anyone peering over your shoulder. You’ll be expected and trusted to take ownership of your work, and to communicate clearly and transparently with your distributed teammates.

On a related note, we’re very pro-feedback. From our users, of course. But also from each other. From individual contributors right up to the CEO, this is a team that is genuinely committed to continuous improvement.

We embrace what makes you, you!

We are committed to accessibility, equity, diversity, and inclusion. We build products for and welcome participants, researchers, and employees from a diverse set of backgrounds. These backgrounds include—but are not limited to—varied socioeconomic status, gender identity or expression, sexual orientation, religion, race, ethnicity, age, neurodivergence, disability, and citizenship.

As we grow, we are aware that this work is continuous. We will not settle for how things are, but rather strive for how they could be.


Senior Data Scientist

The Team ❤
Our newly formed data team is here to build up and serve a best in class data platform to the whole company. This is a greenfield project so you will be able to play your part in key decisions and our strategy from the outset.
Tech Stack 💻
GCP, BigQuery, DBT, Looker
What you’ll do 👀

Deliver real impact to MoonPay’s mission by taking complex business problems and helping solve them through data-driven solutions
Build, test and deploy models to solve business challenges around fraud, compliance, customer lifetime value, customer churn
Contribute to designing our data science platform for model training and experimentation
Collaborate with data engineers, analysts and scientists to improve our overall data ecosystem and enforce best practices across the team and department

As a Senior you will be expected to

Mentor and coach other members of the team
Contribute to our overall approach and standards within the Data team

You should apply if ✅

You have excellent SQL skills
You have experience working with Python
You have a deep understanding of fundamentals of statistics and probability, including experience in conducting large scale A/B tests
You have a proven track record of building, deploying and maintaining machine learning models in a production setting
You have the ability to clearly communicate complex results to both technical and non-technical audiences
You have either had experience with some of our tech stack or are confident you can cross train and up skill quickly
You are proficient in English, both written and spoken
You have a self-starter, curious mindset and you proactively identify opportunities which lead to a real impact on the company

Bonus points if

You have previous experience working in FinTech
You have knowledge of cryptocurrency

Research has shown that women are less likely than men to apply for this role if they do not have solid experience in 100% of these areas. Please know that this list is indicative and that we would still love to hear from you even if you feel you only are a 75% match. Skills can be learnt, diversity cannot.
We promote a diverse and inclusive culture at MoonPay.

Logistics 🛠

Unfortunately, we are unable to offer visas of any kind at this time!
Our interview process takes place on Zoom and tends to consist of the following stages:

Initial screen (30-45 minutes)
Remote take-home task
Final interview (2 hours)

Please let us know if you require any accommodations for the interview process, and we’ll do our best to provide assistance.


Data Scientist Podcast Monetization

We work at the intersection of advertising and messaging technologies to connect millions of brands to billions of fans. As part of the Advertising team, we’re paving the way for a sustainable global Spotify business that allows even more creators to make a living off their art. Come join us and help build the platform that powers promotion at Spotify.

A rarity in digital media, podcast advertising gets results for advertisers, allows creators to profit and (when done well) entertains listeners. Spotify — through its growing ads business and ongoing investment in original audio content — has the outstanding opportunity to amplify and scale what’s great about podcast ads by building the first truly digital podcast ad experience.

Our team is looking for a data scientist to join the band and help us define, build, and forecast our audience-based podcast ad offerings. This role will sit directly with our forecasting & analytics squad, partnering with our product manager to guide our roadmap and our engineers to launch new analytics offerings.

What You'll Do

Explore podcast and audience data to answer key questions on the future of podcast ad targeting
Conceptualize approaches and evaluate models for forecasting podcast ad inventory
Propose changes to our product roadmap based on quantitative insights
Perform analysis on large sets of data to extract impactful insights that will help drive product decisions
Contribute to the development of the Product Insights function and the wider data science community at Spotify

Who You Are

You know how to understand and solve loosely defined problems and come up with relevant answers to guide product development decisions
You have a deep understanding of numbers, as well as a strong business sense (preferably within advertising)
You have 4+ years of proven experience, with a degree in computer science, statistics, or mathematics or another quantitative field
You have familiarity with developing statistical or machine learning-based forecasting methods from ideation to implementation and deployment
You have the technical competence to perform analytics: wrangling and querying data (SQL), coding skills (such as Python, Java, or Scala), experience with analytics & visualization libraries (pandas, tidyverse, seaborn, ggplot), visualization tools (Tableau, and experience performing analysis with large datasets
You possess statistical competence (such as regression modeling, a/b testing, significance testing etc)
You're an effective communicator: stellar communication skills with the ability to distill sophisticated thoughts and strategies into simple, impactful recommendations

Where You'll Be

We are a distributed workforce enabling our band members to find a work mode that is best for them!
Where in the world? For this role, it can be within the Americas region in which we have a work location
Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
Working hours? We operate within the Eastern Standard time zone for collaboration

Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.

Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 345 million users.


Presales Data Science Nyc East

Job Description:
Pre-sales Data Science
DataRobot is the world’s premier AI and data science platform. Our Pre-sales Data Science team consists of applied data scientists, passionate about using machine learning to achieve real-world results. As part of the Pre-sales Data Science team at DataRobot, you will collaborate closely with DataRobot customers and bring expertise in data science and the DataRobot platform, to help customers achieve their organization’s objectives with AI. You’ll work with clients in a range of industries on diverse use cases, and with both business (executive, line of business) and technical (data science, engineering, analytics) stakeholders.
Responsibilities
● In the pre-sales process, represent the DataRobot product to various personas across the customer organizations spanning from data scientists to C-level executives.
● Lead product demonstrations, align DataRobot to the vision of the customers’ goals, lead the Proof Of Value process, and quantify the business impact of DataRobot.
● Influence our customers through thought leadership by translating complex technical terms / processes into business outcomes / value-based messaging.
● Act as a trusted advisor on AI across the customer lifecycle; build champions by
enabling customers to solve complex data science problems using DataRobot –
including problem framing, data preparation, scripting, model building, model
deployment, model management, and output consumption.
● Work in tight partnership with the Sales team as well as our Success and Field
Engineering teams to ultimately support our customers achieving their goals with
DataRobot.
● Act internally as the voice of the customer to the Product, Engineering, and Marketing.
● Present at conferences and/or help create other marketing content.
Requirements
● 4+ years of experience either in a PreSales role (and with a motivation to learn Data Science) or in Data Science/predictive modeling.  Strong candidates with 2+ years as a PreSales Data Scientist will also be considered.
● 2+ years of experience in customer-facing role.
● Bachelor’s degree, preferably in a quantitative subject.
● Hands-on experience building and implementing machine learning or AI models.
● Experience collaborating with business stakeholders to ensure that machine learning solutions deliver successfully on business outcomes.
● Strong customer interaction, communication, writing, and interpersonal skills.
● Excellent project management and organizational abilities.
● Familiarity with a variety of technical tools for the manipulation of data.
● Ability to understand, write and collaborate with Python or R.
● Regional travel may be required.
Desired
● Advanced degree
● Familiarity with the consultative sales process in the data/analytics marketplace.
● Familiarity with data platform technology integrations.
● Experience dealing with complex customer organizations.
● Fluency with scripting in Python or R (preferably both).
All U.S. DataRobot employees must be fully vaccinated against COVID-19. If there is a medical, religious, or other legally protected reason that prevents you from receiving an available COVID-19 vaccination, and you are selected as a candidate for consideration, we have a process in place to evaluate requests for accommodation.
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.
All applicant data submitted is handled in accordance with our Applicant Privacy Policy.


Pre Sales Data Science Americas West

Job Description:
Pre-sales Data Science
DataRobot is the world’s premier AI and data science platform. Our Pre-sales Data Science team consists of applied data scientists, passionate about using machine learning to achieve real-world results. As part of the Pre-sales Data Science team at DataRobot, you will collaborate closely with DataRobot customers and bring expertise in data science and the DataRobot platform to help customers achieve their organization’s objectives with AI. You’ll work with clients in a range of industries on diverse use cases, and with both business (executive, line of business) and technical (data science, engineering, analytics) stakeholders.
Responsibilities
In the pre-sales process, represent the DataRobot product to various personas across the customer organisations spanning from data scientists to C-level executives.Lead product demonstrations, align DataRobot to the vision of the customers’ goals, lead the Proof Of Value process, and quantify the business impact of DataRobot.Influence our customers through thought leadership by translating complex technical terms / processes into business outcomes / value-based messagingAct as a trusted advisor on AI across the customer lifecycle; build champions by enabling customers to solve complex data science problems using DataRobot – including problem framing, data preparation, scripting, model building, model deployment, model management, and output consumptionWork in tight partnership with the Sales team as well as our Success and Field Engineering teams to ultimately support our customers achieving their goals with DataRobot. Act internally as the voice of the customer to the Product, Engineering, and MarketingPresent at conferences and/or help create other marketing content
Requirements
4+ years of experience either in a PreSales role (and with a motivation to learn Data Science) or in Data Science/predictive modeling.  Strong candidates with 2+ years as a PreSales Data Scientist will also be considered.2+ years of experience in customer facing roleBachelor’s degree, preferably in a quantitative subjectHands-on experience building and implementing machine learning or AI modelsExperience collaborating with business stakeholders to ensure that machine learning solutions deliver successfully on business outcomesStrong customer interaction, communication, writing and interpersonal skillsExcellent project management and organizational abilitiesFamiliarity with a variety of technical tools for the manipulation of dataRegional travel may be required, up to 25%
Desired:
Advanced degreeFamiliarity with consultative sales process in the data / analytics marketplaceFamiliarity with data platform technology integrationsExperience dealing with complex customer organizationsFluency with scripting in Python or R (preferably both)
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.


Pre Sales Data Scientist Federal

Job Description:
Pre-sales Customer Facing Data Scientists (CFDSs) are critical to making our customers successful. An ideal CFDS candidate should have strong fundamentals of applied data science in a business or national security setting, and should enjoy communicating and evangelizing data science solutions to business and government stakeholders who are unfamiliar with Data Science and cybersecurity.ResponsibilitiesProductRepresenting the DataRobot product from a technical standpoint to customers – including demonstrations, conducting proof-of-concept trials, helping clients evaluate success criteria, and training users.Providing the customer’s point of view to DataRobot’s Product team, informing the direction of future product feature development.Ability to iterate and visualize new solutions against historical cybersecurity problems through the application of AI/ML and the DataRobot platform.Data ScienceEnabling customers to solve complex data science problems using DataRobot – including problem framing, data preparation, model building, model deployment, model management, and output consumption.In some cases, executing data science workflows for customers.Providing data science knowledge and expertise as a trusted advisor to the client.Project managementConducting and managing data science projects with customer’s vision of success in mind.Collaborating with Intelligence professionals, Sales, Field Engineers, and the rest of the DataRobot team to identify the best possible resources to move forward customer’s projects.LeadershipBuilding a long-term trusted relationship with the customer so that the customers can be led towards success.Understanding and empathizing with customers’ pain points of building AI solutions.Qualifying opportunities through self directed research and application of the DataRobot platform.Presenting DataRobot in industry conferences as well as creating powerful technical content for marketing purposes.On a day-to-day basis, CFDS work side-by-side with the Sales, Account Management, and Field Engineering teams to help our customers achieve their goals with DataRobot. Internally, CFDS act as the voice of the customer to the Product, Engineering, and Marketing teams.Main RequirementsAutonomous curiosity for solving cybersecurity problems through data science4-5+ years of real-world business experience in a data science roleMinimum 1 year working with or across the cybersecurity fieldHands-on experience building and implementing predictive models using machine learning algorithmsStrong customer interaction experienceStrong project management skillsExcellent organizational, communication, writing and interpersonal skillsFamiliarity with a variety of technical tools for the manipulation of datasetsFluency with scripting (Python / R)Up to 50% travel onsite within the Washington, DC area Clearance Requirements:Must have an active TS/SCI Desired SkillsFamiliarity with consultative sales process in the analytics marketplaceFamiliarity with Hadoop and related Big Data technologiesExperience dealing with complex customer organizationsFamiliarity with current network/cybersecurity tools such as WireShark, Bro/Zeek, Snort, pfSense, etc.Familiarity with JSON, STIX TAXI 2.1.
All U.S. DataRobot employees must be fully vaccinated against COVID-19. If there is a medical, religious, or other legally protected reason that prevents you from receiving an available COVID-19 vaccination, and you are selected as a candidate for consideration, we have a process in place to evaluate requests for accommodation.
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.
All applicant data submitted is handled in accordance with our Applicant Privacy Policy.


Data Scientist Amer East

Job Description:
Data Scientist
DataRobot is the world’s premier AI and data science platform. Our Data Scientists are experienced applied data scientists, passionate about using machine learning to achieve real-world results. As a Data Scientist at DataRobot, you will collaborate closely with DataRobot customers to bring expertise in data science and the DataRobot platform to help customers achieve their organization’s objectives with AI. You’ll work with clients in a range of industries on diverse use cases, and with both business (executive, line of business) and technical (data science, engineering, analytics) stakeholders.
Responsibilities
Be the DataRobot product and data science subject matter expert to our customers by leading implementation, advising on the viability and execution of use cases, helping to develop Joint Success Plans (JSP), and leading the execution of them.Ensure the success of our customers by helping to achieve quantifiable Value Realisation Indicators - Leading to renewals / expansions furthering the growth of both our customers and DataRobotAct as a trusted advisor on AI across the customer lifecycle; enable customers to solve complex data science problems using DataRobot – including problem framing, data preparation, scripting, model building, model deployment, model management, and output consumptionWork side-by-side with our sales and success teams to help our customers achieve their JSP and quantify the business impact of itIdentify opportunities to expand our relationship with customersAct internally as the voice of the customer to the Product, Engineering, and Marketing teamsPresent at conferences and/or help create other marketing content
Requirements
4-5+ years of real-world business experience in a data science roleBachelor’s degree, preferably in a quantitative subjectHands-on experience building and implementing machine learning or AI modelsExperience collaborating with business stakeholders to ensure that machine learning solutions deliver successfully on business outcomesStrong customer interaction, communication, writing and interpersonal skillsExcellent project management and organizational abilitiesFamiliarity with a variety of technical tools for the manipulation of dataFluency with scripting in Python or R (preferably both)Regional travel may be required
Desired
Advanced degreeFamiliarity with the consultative sales process in the analytics marketplaceFamiliarity with data platform technology integrationsExperience dealing with complex customer organizations
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.
All applicant data submitted is handled in accordance with our Applicant Privacy Policy.


Data Scientist

About SofíaAt Sofia we want to change the way millions of people take care of their health by offering a health plan that is more complete, simpler to understand, and closer to anyone who wants to live a healthier life. We want to build a thriving community that deeply changes the way the health system works.About the roleAs a Data Scientist at Sofía, you will be positioned to significantly impact the lives of millions of people and you will be continuously exposed to strategic discussions and decisions.Responsibilities Use qualitative, analytical, and predictive methods to understand how our Soci@s can improve their health while engaging with our product in a meaningful way. Discover, understand and structure different data sources into clean data models that unlock self-service analytics. Define, implement, and monitor key performance metrics for all teams across Sofía. Empower our operation with self-service tools (dashboards, data cubes, etc.) to better understand and serve our Soci@s. Work closely with Product, Engineering & Marketing/Growth teams to help them shape their roadmap and strategic priorities. Design experiments to evaluate initiatives that are live and identify areas for improvement. What We're looking for 3+years of work experience in a quantitative analytical role. Proficiency with statistical software (e.g., R, Python), database languages (e.g., SQL), and code versioning tools (e.g., Git). Proven experience articulating, translating, and solving business problems through data. Self-direction and eagerness to collaborate with other teams (Product, Engineering, Maketing/Growth). Effective written, verbal and visual communication skills. Willingness to both teach others and learn new techniques. Bonus points: Knowledge of health care, health economics, or health insurance. Applied experience deploying machine learning models into production. Experience extracting and manipulating large datasets with tools like Presto or Spark. Postgraduate degree in a quantitative discipline (e.g., Mathematics, Computer Science, Statistics, Economics, Actuary, Operations Research, Industrial Engineering, etc.).


Practice Manager Data Science Engineering

As a full spectrum AWS integrator, we assist hundreds of companies to realize the value, efficiency, and productivity of the cloud. We take customers on their journey to enable, operate, and innovate using cloud technologies – from migration strategy to operational excellence and immersive transformation.

If you like a challenge, you’ll love it here, because we’re solving complex business problems every day, building and promoting great technology solutions that impact our customers’ success. The best part is, we’re committed to you and your growth, both professionally and personally.

Overview

As a Big Data Architect, you are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role in delivering modern data solutions for clients including data ingestion/data pipeline design and implementation, data warehouse & data lake architectures, cognitive computing and cloud services. You are enthusiastic about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development.

If you get a thrill working with cutting-edge technology and love to help solve customers’ problems, we’d love to hear from you. It’s time to rethink the possible. Are you ready?

About the role:

Data scientist or engineer experienced with leadership experience and familiarity with machine learning, data analytics, big data processing, data lakes & warehouses, and related technologies and architectures.
Expected to lead and manage teams of data scientists and data engineers on various data and machine learning projects.
Required experience developing solutions on a major cloud platform, as well as demonstrated people management experience.
Expected skills to include cloud architecture design and implementation, as well as experience with machine learning tools and libraries. Expected to have demonstrated technical leadership in the development of multiple successful production solutions.
Expected to have demonstrated people management skills with direct reports.
Experience with neural networks, computer vision, language processing, big data processing, or other machine learning sub-domains is desired.
Familiarity with data engineering languages and platforms, such as SQL, Spark or Hadoop, is desired. Familiarity with managed machine learning services on a major cloud platform is also desired.
Candidate will be expected to lead projects to solve a variety of problems by developing cloud-based solutions for customers.
Candidate should be able to work independently, demonstrate technical leadership and people management experience, and have excellent communication skills.

Location

This is a virtual role
The candidate needs to be based in US or Canada

Location

This is a virtual role
The candidate needs to be based in US or Canada

#LI-VM1
#LI-Onica
#LI-Remote
#LI-USA
#LI-Canada

About Rackspace Technology
We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.

More on Rackspace Technology
Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

Position is available for remote work in the following states unless otherwise specified. Alabama, Arizona, Arkansas, California, Connecticut, Delaware, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming.


Senior Data Scientist

A bit about us:

We’re on a mission to change healthcare — how it’s paid for, delivered, experienced. We want to put people center stage, not process or profit. We are guided by a deep belief that every person on Medicare should be treated like we would treat a member of our own family: with loving care and a profound commitment to their health and well-being.

That’s why we’re gathering a whole bunch of smart, big-hearted people to create a new kind of healthcare company — one that combines compassion, health insurance, clinical care, and technology seamlessly.

"We want to partner with people we love for a cause we believe in. Life is short. Join us."

A bit about this role:

We are looking for a Data Scientist who can serve as a liaison to our Operational teams to answer important and timely questions about the health of the business; build robust data pipelines that underpin data-driven products and operations; and drive a data-driven culture by using their technical expertise to identify opportunities to improve key outcomes and operational efficiency.  This role will report into our Data Science team, and will work alongside Product Managers, Software Engineers, and Business Leads to solve key challenges for the company.

Responsibilities will include:

Working closely with key business stakeholders to understand the analytical needs of the business and providing insight in a rapid, iterative, and collaborative process
Developing thoughtful reports and dashboards that help Operations teams improve their business decision-making
Identifying patterns in the analyses you conduct, and using those patterns to improve our tools and processes so we can deliver results more quickly and accurately
Communicating results to an audience of mixed technical backgrounds

Required skills and experience:

Ability to work in a fast-paced startup environment
5+ years of individual technical contributor experience
Experience collaborating effectively with stakeholders
Advanced SQL skills
Experience with Python or R
Equally comfortable building dashboards and reports for KPIs, and doing deep-dive statistical analysis to influence the business

#LI-BC1
#LI-Remote

If you love running towards complex challenges and transforming them into solutions, if you want to make a potentially huge impact on many lives, and if you are looking for a disruptive startup with an inspiring and talented team, Devoted Health may be the place for you!  If you lack a specific credential for this position but believe that your strengths and life experiences will propel our mission, we would love to hear from you.

Devoted is an equal opportunity employer.  We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted’s Code of Conduct, our company values and the way we do business.

As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.

COVID-19 Vaccination Requirement: Where permitted by applicable law, candidates must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered. The Company will provide reasonable accommodations to qualified employees with disabilities or for a sincerely held religious belief, practice, or observance.


Senior Data Scientist

Your Impact
At the heart of Handshake product development is an experimentation-driven culture led by data scientists and engineers. This is a high-impact position where you will not only influence product strategy and decisions affecting millions of students and young alumni but also build the very products that democratize opportunity by enabling those users to find great jobs. We know that connecting students with jobs and employers can be so much more than string matching buzzwords in resumes and job descriptions. If you want to make a mark on both our organization and the job search experience for millions of students while growing as a data science leader, then this role is for you.
Your Role

Develop the algorithms and data pipelines that connect users across the Handshake marketplace, from students looking for their first jobs and internships to employers sourcing candidates for high-priority roles.

Find the signal in the noise and turn massive datasets into rich, relevance-enabling feature sets. Employ Natural Language Processing and feature engineering techniques to turn relatively unstructured data sources like job descriptions into “matchable” hiring criteria.

Provide technical leadership to a growing team of curious and highly motivated data scientists.

Be a tactful and effective partner to product managers; help design and analyze experiments and proactive analyses that drive key product decisions and unlock invaluable insights.

Be an ambassador for data-driven product development at Handshake. Present your research, including metric development and measurement methodologies to all levels of the company, clearly and concisely.

Your Experience:

Experience building, implementing, and iterating on data and/or machine learning powered products and/or conducting relevant academic research on large data sets.

Knowledge of machine learning practices with a focus on topics such as search and relevance, recommender systems, natural language processing, and/or Data Science concepts related to e-commerce (e.g. lifetime value, net incremental revenue, churn)

Experience working directly with cross-functional teams such as leadership, product management, engineering, and design

Experience using modern analytics tools such as Python, R, Spark, BigQuery, Snowflake, etc.

Ability to start, own and drive projects to completion with minimal guidance

Excellent communication skills — ability to succinctly communicate results and tell compelling stories with data to any audience (e.g. presenting findings and deep-dives to senior leadership)

Bonus Areas of Expertise:

Experience working on small, scrappy, and growing data science teams

Knowledge of Google Cloud technologies and Airflow

Mentorship of both data scientists and would-be data science partners

Developing and deploying production-quality machine learning pipelines and models

Compensation Range:
$147,950 - $202,000
Benefits:

Stock: Ownership in a fast-growing company.

401k: We care about your ability to save for your future.

Family Focus: Parental leave and flexibility for families.

Time Off: Flexible vacation policy to encourage people to get out and see the world.

Healthcare: World-class medical, dental, and vision policies.

Goodies: Whatever hardware and software you need to get the job done.

Team Fun: Regularly scheduled events, sports, game nights, book clubs.

Learning: Learning & Development opportunities for you to grow your skills and career.

Great team: Working with fun, hardworking, nice people who are committed to making a difference!

...And much more!

We value diversity of all kinds and are committed to building a diverse and inclusive workplace where we learn from each other. We are an equal opportunity employer and welcome people of all different backgrounds, experiences, abilities, and perspectives.


Data Scientist Personalization

At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we work to change the way the world reads by building the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals, and more. In addition to works from major publishers and top authors, our community includes over 1.5M subscribers in nearly every country worldwide.

About the team

The Applied Research - Personalization team’s goal is to comprehensively understand our users, create representations of their behavior and complex interactions with our content, and deliver user models that drive ML product features. This is accomplished as a team of aligned, talented and collaborative data scientists.

About you
You are excited by the opportunities and challenges of working on Scribd’s unique and massive dataset consisting of interactions of hundreds of millions of pieces of content with hundreds of millions of users. You enjoy representing our users in models and measure your contribution in terms of user impact.

You will
- Deeply understand our data and define how user interactions create signals for ML models.
- Take full advantage of our scale of data. For example, use Transformers and other state-of-the-art deep learning architectures to extract rich user embeddings.
- Optimize personalization for new users by integrating other sources of data and innovating on models. For example, use Bayesian methods to smoothly combine priors about user segments with data-rich modeling approaches.
- Increase the effectiveness of the team on a technical and problem-solving level through thoughtful collaboration with other Data Scientists, Machine Learning Engineers, and System Engineers.

You Have
- 2+ years of experience in data science or related field.
- Bachelor's degree in a quantitative discipline. Master’s or Doctorate degree preferred.
- Interested or experience with personalization features, user modeling
- Intermediate level or greater experience with Python.
- Experience with SQL and Spark is a plus.
- Exposure to TensorFlow and embedding-based deep learning architectures is a plus.

Benefits, Perks, and Wellbeing at Scribd

• Healthcare Benefits: Scribd pays 100% of employee’s Medical, Vision, and Dental premiums and 70% of dependents
• Leaves: Paid parental leave, 100% company paid short-term/long-term disability plans and milestone Sabbaticals
• 401k plan through Fidelity, plus company matching with no vesting period
• Equity - Every employee is an owner in Scribd!
• Generous Paid Time Off, Paid Holidays, Flexible Sick Time, Volunteer Day + office closure between Christmas Eve and New Years Day
• Referral bonuses
• Professional development: generous annual budget for our employees to attend conferences, classes, and other events
• Company-wide Diversity, Equity, & Inclusion programs which include learning & development opportunities, employee resource groups, and hiring best practices.
• Learning & Development and Coaching programs
• Monthly Wellness, Connectivity & Comfort Benefit
• Concern mental health digital platform
• Work-life balance flexibility
• Company events + Scribdchats
• Free subscription to Scribd + gift memberships for friends & family

Want to learn more? Check out our office and meet some of the team at www.linkedin.com/company/scribd/life

Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.


Data Scientist Intelligent Systems

At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we work to change the way the world reads by building the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals, and more. In addition to works from major publishers and top authors, our community includes over 1.5M subscribers in nearly every country worldwide.

About the Team
Applied Research works on a variety of ML and NLP projects like spam detection, language identification, and text embeddings. We are a full-stack data science team that runs exploratory analyses, sizes business impact, creates data pipelines, presents projects, and builds models from prototype to production. We work on Scribd’s unique and massive dataset consisting of hundreds of millions of documents, books, audiobooks, articles, and podcasts.

About You
You are a curious person who enjoys tackling hard problems. You got into data science because you love being at the forefront of what is possible and the idea of building intelligent systems that scale to reach millions of people inspires you. As a data scientist, you have a deep appreciation for project-based learning and picking up new skills of all kinds, both technical and interpersonal.

You will
- Build reproducible and scalable ML models in Python and Spark.
- Work with large, complex data sets to solve difficult, non-routine analysis problems.
- Develop comprehensive knowledge of Scribd’s data structures and metrics.
- Write up analyses and produce visualizations that estimate the impact of potential projects and evaluate the business results produced by the ML models.
- Take complicated concepts, systems, and processes and clearly communicate what matters to stakeholders.

You Have
- 1 to 2 years experience in data science or ml engineering.
- BA/BS in a quantitative discipline.
- Intermediate level or greater experience with Python and SQL.
- Sufficient statistical skills to make effective ML modeling tradeoffs.
- Experience with at least one of the following fields: natural language processing, deep learning, computer vision, and bayesian statistics.
- An aptitude for learning what’s necessary to solve a business problem and make a positive business impact.
- A sense of energy, passion, and personal responsibility.
- A keen interest in keeping up to date in the field of ML by reading papers and attending classes or conferences, using these state-of-the-art approaches to tackle business problems.
- Preferred: Experience building data pipelines and models with Spark.

Benefits, Perks, and Wellbeing at Scribd

• Healthcare Benefits: Scribd pays 100% of employee’s Medical, Vision, and Dental premiums and 70% of dependents
• Leaves: Paid parental leave, 100% company paid short-term/long-term disability plans and milestone Sabbaticals
• 401k plan through Fidelity, plus company matching with no vesting period
• Equity - Every employee is an owner in Scribd!
• Generous Paid Time Off, Paid Holidays, Flexible Sick Time, Volunteer Day + office closure between Christmas Eve and New Years Day
• Referral bonuses
• Professional development: generous annual budget for our employees to attend conferences, classes, and other events
• Company-wide Diversity, Equity, & Inclusion programs which include learning & development opportunities, employee resource groups, and hiring best practices.
• Learning & Development and Coaching programs
• Monthly Wellness, Connectivity & Comfort Benefit
• Concern mental health digital platform
• Work-life balance flexibility
• Company events + Scribdchats
• Free subscription to Scribd + gift memberships for friends & family

Want to learn more? Check out our office and meet some of the team at www.linkedin.com/company/scribd/life

Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.