Senior Data Scientist

Liveperson 0Fff2Dee 0Bf4 44F7 85B4 5C3623F41449

Senior DataScientist- Remote
seattle, united states | 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, 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 believe data-driven decision making is the normYou relate to our core principles (link) and want to work with Conversational AI experts
In this role, you will work with one of the world’s largest goal-oriented conversational datasets to push the boundaries of computational linguistics and drive innovative new products. In addition to a world-class data set, you’ll also have an at-scale population of expert data annotators (contact center agents) to help drive investigation and learning.
In this role you will:
Propose and execute research efforts that drive product strategyApply deep learning and NLP methods to learn and derive value from one of the world’s largest goal-oriented conversational datasets.Research and build systems that support the next-generation conversational AILead data science projects.Present your results to internal and external stakeholders
Your qualifications are:
Ph.D. in Computer Science Hands on experience in Deep Learning Strong programming experience in Python/Java/C++Good communication skill and a team playerPublications in AI/ML/NLP conferencesPrior work experience or internship in industry
#LI-Remote
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.

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Data Scientist Ii

Data Scientist II - Remote
United States | 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 environmentYou believe data-driven decision making is the normYou relate to our core principles (link) and want to work with Conversational AI experts
In this role, you will work with one of the world’s largest goal-oriented conversational datasets to push the boundaries of computational linguistics and drive innovative new products. In addition to a world-class data set, you’ll also have an at-scale population of expert data annotators (contact center agents) to help drive investigation and learning.
In this role you will:
Propose and execute research efforts that drive product strategyApply deep learning and NLP methods to learn and derive value from one of the world’s largest goal-oriented conversational datasets.Research and build systems that support the next-generation conversational AILead data science projects.Present your results to internal and external stakeholders
Your qualifications are:
Ph.D. in Computer Science Hands on experience in Deep Learning Strong programming experience in Python/Java/C++Good communication skill and a team playerPublications in AI/ML/NLP conferencesPrior work experience or internship in industry
#LI-Remote
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 and, 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
Voluntary Self Identification
If you’d like, please share with us some additional information about yourself (e.g. your race, ethnicity, sexual orientation, gender identity, and disability information). It’s completely voluntary. This information will be used to help us know more about people who interview with us and ensure representation in who we consider in our efforts to provide an equal opportunity to everyone who wants to work at LivePerson.
Gender
Please Select
Please identify your race
Please Select
Disability Status
Please Select
Veteran Status
Please Select
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


Senior Data Scientist

With Pecan, organizations can obtain and deploy AI models in days, without relying on data scientists. Pecan is an automated AI-based predictive analytics platform that simplifies and speeds the process of building and deploying predictive models in various customer-related and operational use-cases, such as LTV, Churn, NBO, Risk, and Segmentation. Pecan does not require from its customers any data preparation, engineering or prepossessing - it connects directly to raw data, and uses neural networks to automate the entire predictive process.
Company Highlights:

Series C company with over $117M raised to date. Tier-1 investors: Google Ventures (GV), Insight Partners, GGV, Dell Ventures, Mindset and S Capital.
90+ employees and growing very quickly
HQ in Tel Aviv with growing sales and marketing organization in the US
Customers across CPG, retail, healthcare, mobile apps, fintech, insurance, and consumer services. Marquee customers include Johnson & Johnson, Nestle, and SciPlay.

Who You Are & What You'll Do
As a data scientists team member, you will work at the forefront of the data world, optimizing predictive models and assisting our clients to use those predictions to affect their business. In addition to data analysts and scientists you will work closely with the following levels in our client’s organizations:

C - level executives and VPs
Data analysts
DBA’s
DevOps engineers

Together with the team, you will be continuously helping our clients achieve their business goals, reinforce the value of Pecan’s modules, and the ease of use of our platform.
You will handle complex data science challenges using state-of-the-art techniques such as: custom loss-functions, auto-encoders, embeddings, LSTM and many more.
Requirements
- 5 years of experience as a data scientist working on tabular data- Bsc in a relevant field- Proficient in Python, SQL, and Spark- Experience in creating measurable value with ml (defining KPI's, designing AB tests, monitoring)- Experience with AWS / Databricks - advantage

*This position requires an authorization card in the US.


Lead Learning Scientist

About the Role
At Panorama, we have a big-picture vision to radically improve student outcomes and advance student equity by helping educators act on data and research to improve their practice.
Research is critical to the work we do—our survey measures, reporting analytics, and product offerings. It’s part of our identity.
If you thrive on connecting learning science to educational practice, continue reading. We are seeking a Lead Learning Scientist who will partner with colleagues across our organization, most importantly our product, design, and engineering leaders, to apply social science scholarship to product development and company strategy.
Responsibilities:

You’ll provide timely, relevant, authoritative, and usable guidance to leaders across the organization, based on best practices and scholarship from social science.
You’ll help hire, organize, and support a team of research scientists with complementary backgrounds and expertise to execute high-value research projects in a rigorous, timely manner.
You’ll proactively incorporate evidence and insights from psychology, educational research, learning science, and human development into high-level product strategies, planning, and decision-making.
You’ll collaborate with cross-functional groups of software engineers, data scientists, product managers, and product designers to imagine, design, and build research-based products that are used and loved by practitioners
You’ll help build a network of leading education scholars and policy experts to advise Panorama on product strategy.
You’ll design and oversee high-impact empirical research that leverages Panorama’s unique datasets to address key questions of interest to practitioners and policymakers
You’ll communicate research findings to colleagues, clients, and the education community at large, and author thought-leadership pieces for placement in important publications.

Our Ideal Candidate Has:

A terminal research degree in a relevant field (e.g., social science Ph.D., EdD), and preferably at least two years of postdoctoral experience in education research
At least five years of experience working in an industry setting to apply social science to K12 educational practice
At least two years of professional experience working with software engineers, product designers, and/or product managers to develop educational products
Scholarly expertise in relevant domains, including but not limited to educational psychology, human development, and social-emotional learning
A compelling record of written and oral communication, with preferably one or more relevant first-authored publications in leading peer-reviewed journals
A deep understanding of and empathy with the real-world challenges faced by educators
A passion for using research to radically improve student outcomes


Data Scientist

About the Role
At Panorama, we have a big-picture vision to radically improve student outcomes by helping educators act on data and improve their practice. If this sounds exciting to you and you want to make an impact as a Data Scientist, keep reading.
Our data science activities run the gamut from data extraction and pipeline engineering to statistical modeling and data visualization. In this role, your primary goal will be to leverage data science to advance critical research and development (R&D) efforts for our products.
In this role:

You will compile, clean, manage, analyze, and visualize large, one-of-a-kind educational datasets that include longitudinal, high-frequency data from millions of students, including their academic performance, in-class behavior, school attendance, and social-emotional competencies
You will contribute to data pipelines and infrastructure to enable product development and educational research and apply traditional and modern statistical techniques to creatively address key questions of practical and theoretical interest, such as the causal impact of educational interventions on student outcomes
You will imagine and help implement data-driven products that aid educators to better support students by collaborating closely with other data scientists, researchers, engineers, designers, and product managers.
You will work with colleagues and company leadership to develop our data science strategy, priorities, and practices and clearly communicate learnings, findings, and best practices to other data scientists and researchers.

This role is for you if you:

Have relevant experience, formal education, or training in data science, data engineering, or statistics and enjoy problem-solving through data and analytics to reveal insights and improve decision-making
Can apply traditional or modern statistical methods to analytic problems including, for example, regression, multilevel modeling, psychometrics, dimension reduction, clustering, machine learning, natural language processing, and causal inference
Are comfortable in one or more relevant programming languages (e.g., Python, R) and data manipulation tools within programming language(s) (e.g., Pandas, dplyr)
Are a team player who thrives in a collaborative, small-team environment.

Note: We at Panorama hope to bridge the confidence gap in our hiring process. If some of the above describes you, we encourage you to apply!
Nice to haves:

Can manipulate large datasets through parallel computing (e.g. Dask, concurrent.futures in Python, multidplyr in R) and convert them into analyzable formats
Prior experience working with software engineers and/or product managers as a data scientist, engineer, or analyst
Familiar with cloud environment(s), such as AWS or GCP.
Experience using GitHub collaboratively


Sr Data Scientist Human Resources

Job DescriptionThe HR Analytics and Reporting team at CVS Health leads the organization’s understanding of workforce insights and organizational health. We evaluate talent and culture information to make evidence-based decisions and create a stronger workplace experience. Our team uncovers holistic data-driven business opportunities across the talent lifecycle to enable transformational change and operational efficiency.The ideal candidate is responsible for end-to-end problem-solving and communication on workplace insights: diagnosis, integration and transformation, analysis, visualization, and presentation. They possess strong quantitative skills, can manage multiple projects simultaneously, and can communicate effectively to a wide-ranging audience. • Consulting with HR partners and business leaders to understand their unique challenges and provide strategic decision support through data and analytics• Applying knowledge in quantitative and qualitative analysis, as well as data visualization, to create clear and compelling narratives that inform business strategies• Distilling key findings into visually appealing, insightful, and concise presentations for senior management including the CEO and the Board of Directors• Collaborating closely within HR to automate data pipelines, drive self-service access, and deploy powerful, interactive data visualizations to be consumed by different parts of the business• Data savvy – Be comfortable in querying large datasets, with the ability to help manipulate and construct the right data structures starting with the end in mind• Data experimentation – Eager to learn and/or challenge existing data architecture and apply innovative tools to improve delivered data insights.In order to be successful in this role you must exhibit the following: • Strong data visualization skills, preferably with Tableau, QlikView/Sense, Power BI, or able to demonstrate transferability from other platforms.• Data set creation skills including the ability to combine and clean large data sets, preferably with Alteryx or similar tools.
Required Qualifications• 5+ years of relevant Data Science and business experience.
COVID RequirementsCVS Health requires its Colleagues to be fully vaccinated against COVID-19 (including any booster shots if required), where allowable under the law, unless they are approved for a reasonable accommodation based on disability, medical condition, or religious belief that prevents them from being vaccinated.
If you are vaccinated, you are required to have received at least one COVID-19 shot prior to your first day of employment and to provide proof of your vaccination status within the first 10 days of your employment. For the two COVID-19 shot regimen, you will be required to provide proof of your second COVID-19 shot within the first 45 days of your employment.  In some states and roles, you may be required to provide proof of full vaccination before you can begin to actively work.  Failure to provide timely proof of your COVID-19 vaccination status will result in the termination of your employment with CVS Health.
If you are unable to be fully vaccinated due to disability, medical condition, or religious belief, you will be required to apply for a reasonable accommodation within the first 10 days of your employment in order to remain employed with CVS Health. As a part of this process, you will be required to provide information or documentation about the reason you cannot be vaccinated. In some states and roles, you may be required to have an approved reasonable accommodation before you can begin to actively work. If your request for an accommodation is not approved, then your employment may be terminated.
Preferred Qualifications• Knowledge of advanced analytics tools and languages (proficient experience with Python, R, SAS, SQL)• Knowledge of HR business systems (HCM, ATS, Workday experience a plus)• Experience working in a data warehouse or data lake environment
EducationBachelor’s degree in quantitative field, or an equivalent combination of formal education and experience.
Business OverviewBring your heart to CVS HealthEvery one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
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Lead Data Scientist

Job DescriptionFundamental Components:· Develop, automate and maintain analysis ranging in complexity from basic application utilization to complex outcomes evaluation analysis.· Apply simple and complex mathematical models in order to sniff out and test for the effects of theories and measure the impact of digital interventions in the real world.· Communicate findings and new capabilities to a wide range of stakeholders; from CEO’s and Presidents to low level engineers and developers.· Deploy a developed model onto a server or in a cloud based data architecture, tailoring implementation methods to match scale, speed, and complexity of the problem we are trying to solve.· Work towards the goal of creating a cross-functional team capable of working from a Kanban.· Utilizing agile software development rituals to align closely with dev teams and deliver value through integrating data derived insights and capabilities into the application.The typical salary range for this role is $140,000 to $209,000.This role will ideally be based in Denver, CO but has flexibility to work remotely anywhere in the U.S.This position is eligible for a CVS Health bonus plan or program.Benefit Overview:https://jobs.cvshealth.com/employee-benefits?prefilters=none&CloudSearchLocation=none&CloudSearchValue=none
Salary Range140,000.00 – 209,000.00
Required Qualifications· 3+ years’ experience analyzing raw clickstream data coming from a smart phone/desktop application.· Strong applied mathematics background building a working knowledge of clinically sound modeling and analysis techniques such as multi-state mixed models, intervention based time series, complex designs of experiments, hierarchical clustering, structural equation modeling, hypothesis testing, etc.· Strong knowledge of statistical programming languages/tools such as: R, Python, SAS, SPSS, Stata, etc.· Strong experience in SQL and analyzing big data, utilizing multi-threading/parallel processing to process large datasets in memory (tera- or petabytes) when needed.· Strong knowledge of databases, tools, libraries and programing languages like Hadoop, GCP, Dash, AWS, Spark, SQL, NOSQL, Hive, d3.js, Tableau, Adobe, Java and node.js.
COVID RequirementsCVS Health requires its Colleagues to be fully vaccinated against COVID-19 (including any booster shots if required), where allowable under the law, unless they are approved for a reasonable accommodation based on disability, medical condition, or religious belief that prevents them from being vaccinated.
If you are vaccinated, you are required to have received at least one COVID-19 shot prior to your first day of employment and to provide proof of your vaccination status within the first 10 days of your employment. For the two COVID-19 shot regimen, you will be required to provide proof of your second COVID-19 shot within the first 45 days of your employment. In some states and roles, you may be required to provide proof of full vaccination before you can begin to actively work. Failure to provide timely proof of your COVID-19 vaccination status will result in the termination of your employment with CVS Health.
If you are unable to be fully vaccinated due to disability, medical condition, or religious belief, you will be required to apply for a reasonable accommodation within the first 10 days of your employment in order to remain employed with CVS Health. As a part of this process, you will be required to provide information or documentation about the reason you cannot be vaccinated. In some states and roles, you may be required to have an approved reasonable accommodation before you can begin to actively work. If your request for an accommodation is not approved, then your employment may be terminated.
Preferred Qualifications· Experience working in application development/software industry.· Demonstrated ability to communicate technical ideas and results to non-technical stakeholders in written and verbal form.· Strong organizational skills; excellent analytical and problem solving skills.
EducationBachelor’s Degree required in a related field (Physics, Computer Science, Econometrics, Advanced Statistics, etc.).Masters Degree preferred
Business OverviewAt CVS Health, we are joined in a common purpose: helping people on their path to better health.  We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive and patient-focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart.
We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an equal opportunity and affirmative action employer.  We do not discriminate in recruiting, hiring or promotion based on race, ethnicity, sex/gender, sexual orientation, gender identity or expression, age, disability or protected veteran status or on any other basis or characteristic prohibited by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
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Data Scientist Population Health

Thyme Care is an oncology digital health start-up that’s focused on radically improving the cancer experience with early and ongoing intervention. We help individuals with cancer, their caregivers, clinicians, health plans, and employers by coordinating integrated care that leads to better results, lower costs, and aligned incentives. Every Thyme Care member is assigned a personalized team of physician-guided oncology nurses and resource specialists who provide education, guidance, and advocacy as they navigate the complex healthcare system. We facilitate quick access to quality resources and high-value care, coordinating directly with providers and offering support every step of the way. Our high-touch, tech-enabled model generates actionable insights that allow us to identify at-risk members earlier and offer them the most relevant support based on where they are in their cancer journey—closing gaps in care and eliminating excess spend.
Your Role:
As a Population Health Data Scientist at Thyme Care, you’ll  work with our Product, Engineering, Clinical, and Growth teams to provide insights to shape our growth and support the continuous improvement of our care navigation platform. We sit at the intersection between patients, health plans, oncology providers, ACOs, and other value-based care organizations. You will develop analytical models to identify our members’ longitudinal needs and design interventions to improve their outcomes. You will also be a champion for leveraging member-level claims and clinical data to ensure a truly patient-centric approach for our members.
After three months you will:

Gain a deep understanding of Thyme Care’s data ecosystem and analytic capabilities.
Work with our product and commercial team to develop the infrastructure that allows us to identify opportunities to improve the quality of our products and increase the impact of our services on members’ lives. For example, you will have worked with our Product and Care team to measure the efficacy of our Symptom Management interventions by analyzing member reported outcomes as well utilization metrics derived from claims data.
Partner with the Care, Clinical, and Product teams to understand business needs and translate them into analysis plans and technical implementation.
Build and deploy dashboards driven by actual data and real models to deliver insights for the way we navigate care for our members. For example, you have analyzed historical utilization patterns for palliative care and hospice, and partnered with the Product team to improve the quality of life for our members’ with advanced cancers and ensure that their treatment is aligned with their individual goals.

After 6 months you will:

Translate organizational needs into formal hypotheses, identify and execute on the most appropriate data science or statistical analysis for the job, and deliver insights back to the stakeholders.
Interface with other parts of the organization and be recognized as a competent and respectful contributor. You will contribute to the translation of our data assets into business opportunities and strategic initiatives for Thyme Care.
Build and lead key relationships with our payer partners, and become the first line of contact  for their inquiries on interventions and outcomes

What leads to success:

People-first: Thyme Care’s mission and members matter to you, deeply.

Experience: You have worked with product teams and stakeholders before to understand their goals and questions to support them. You can define and acknowledge tradeoffs between methodological rigor and need to get a quick signal. You have worked with large data sets and are comfortable with statistical modeling. (GLM, hierarchical models, difference-in-differences, supervised versus unsupervised learning are not foreign concepts.)

Technical ability: You can work with SQL (selects, filters, joins, views, CTEs, etc) and open source programming languages (R or Python) for data analysis and visualizations. You know how to leverage software engineering best practices such as testing, code review, and documentation. Optionally, you may be familiar with dbt.

Curiosity: You have a drive to understand how things work and love sharing that knowledge with others.

Comfort with ambiguity.  You have a proven track record of success within scaling businesses, fast-paced environments, and ambitious startups. You know how to chart a course through ambiguous challenges.

We are committed to promoting the health and well-being of all individuals. As a provider of cancer care navigation, we recognize that those with cancer constitute a vulnerable population at risk of contracting COVID-19.  As such, Thyme Care has adopted a mandatory COVID-19 vaccination policy, requiring all employees to receive a COVID-19 vaccination as a condition of employment, subject only to conflicting laws and approved exemptions based on medical or religious objections.
Additionally, we believe employees should be paid fairly compared to their peers inside the company and in the market. We also believe that your personal needs and preferences should be taken into consideration so we allow some choice between equity and cash.
We recognize a history of inequality in healthcare. We’re here to challenge the status quo and create a culture of inclusion through the care we give and the company we build. We embrace and celebrate a diversity of perspectives in reflection of our members and the members we serve. We are an equal opportunity employer.


Head Of Product Analytics Data Science And Insights

Fountain is enterprise software that accelerates global high volume hiring. Our customers hire millions of hourly workers annually in 78 countries. Job seekers often struggle to get connected with companies seeking hourly workers due to inefficiencies in their hiring processes, and Fountain makes it easier for them to get offers for work quickly. Getting hired fast eases some of the financial instability millions of families face.

Fountain is a Remote-first company that embraces a work from anywhere policy and offers flexibility on location, so our employees feel free to enjoy the world. Fountain is widely trusted by leading organizations, including Chipotle, StitchFix, GoPuff and Just Eat Takeaway.

We just 4.5Xed in valuation in our Series C, which was led by Softbank and B Capital. We plan on keeping this hyper-growth going this year! Come join us on this rocket ship!

Why will you enjoy this new opportunity?

Fountain processes 40+ million job applications per year.  We have barely scratched the surface on how we can use this data to help our customers design best practices, give applicants and customers the best possible user experience, use ML to automate conversations, and publicly publish our insights to the world in the middle of the tightest job market for hourly workers in 15 years.

In this job, you will be building a new function of Fountain, so building high performance teams needs to be in your DNA.  You’ll have input from product design to backend eng logging.

We are a start up. The ideal candidate loves going wide (designing board conceptual frameworks) and deep (willing to go into the SQL code to find the errors on rare occasions).

This role reports directly in to the COO.

What you'll be doing:

Develop the long-term vision and strategy for a new team
Partner closely with sales, marketing, product, business operations & engineerings to influence business strategy, identify opportunities, build scalable solutions for critical problems, and evangelize the integration of data science products into systems, processes and decisions
Develop a high level of technical quality, business impact, and a relentlessly customer-focused mindset
Manage processes to help the team do its best work, collaborate in an open and inclusive environment, and engage effectively with the rest of Stripe
Recruit a talented and diverse team of data scientists and analysts, in collaboration with Fountain’s recruiting team
Develop and lead a team of data scientists and analysts, helping them advance in their careers

What you should bring:

A PhD or MS in a quantitative field (e.g., statistics, economics, sciences, mathematics, engineering) (MBA, a Plus)
5-8+ years of hands-on experience designing, building and maintaining production machine learning applications
5+ years of management experience leading and growing diverse, high-performing teams, including managing other managers
Track record of creating a positive culture that’s both supportive and challenging
Expertise in statistics, machine learning, causal inference, forecasting and/or and experimental design
Proficiency in a scientific computing language (such as R or Python) and SQL
Strong ability to solve ambiguous and complex business problems, think rigorously and make hard decisions and tradeoffs
A track record building strong collaborative relationships with business and technical partners, excellent stakeholder management and influencing skills
Exceptional ability to communicate strategy and technical concepts clearly across disciplines, organizations, and senior audiences
A can-do attitude, empathy, commitment to great results, and genuine passion for learning
Balance between intellectual curiosity and the desire to roll up your sleeves and execute

Perks & Benefits:
Flexible PTO & Work Hours
"Work from Anywhere" Policy
Comprehensive medical, dental, and vision coverage
HSA & FSA (Medical and Dependent Care)
Life Insurance & STD/LTD
10 Weeks Paid Parental Leave for Birth/Adoption
Wellness/Gym Reimbursement
Phone Stipend
Remote IT/Home Office Stipend
Learning and Development Reimbursements
Fun, interactive and inclusive team-building events, off-sites, and happy hours
401K Plan

Even if you do not meet all the requirements above, we still encourage you to apply for this position. While we try to be thorough with our prerequisites, not everything about you as a candidate can be condensed into a list of bullet points.

We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, socioeconomic status, disability, and veteran status.

*Fountain is proud to be an Equal Opportunity Employer—M/F/D/V*


Senior Manager Data Science

VSCO helps tens of millions of people be creative, share their work, find inspiration and nurture a community. Its users and partners generate billions of data points every single day. As a Senior Manager of the Data Science team, you will be responsible for leading a team that utilizes this large volume of data, and the data platform, to provide trusted insights and advice for the business. You must bring a deep background in Analytics and Data Science to the table along with demonstrated experience in building and managing a team. You’ll help set the vision and roadmap to grow VSCO’s data platform and the tech stack for analysis and modeling. Your team will be a key influence to help to ship beloved products and to help operate the company.

The day-to-day

Set the near term and long term strategy for data usage, sharing, analysis, modeling etc.
Be a trusted advisor to VSCO’s executive team and provide insights to inform the company’s strategy.
Manage, mentor and grow a team of skilled Data Analysts and Data Scientists proactively with continuous feedback, thought leadership, partnership, and formal reviews
Help Product and Lifecycle Marketing teams incorporate data, insights and model outputs into their plans to drive product engagement, usage and subscription renewals to company goals
Coach team members with their near term work on campaign/experiment setup, testing, and analysis
Create room for long lead projects like exploratory analysis; models for churn prediction, anomaly detection, forecasting etc.
Handle ambiguity elegantly, moving your team from uncertainty to clarity

Qualifications

4+ years experience managing a team of Data Analysts and/or Data Scientists to deliver insights and help internal partners make decisions across functions such as Product Management, Marketing, Design and Engineering.
Expertise in working with a varied data platform using building blocks like Airflow, Spark, AWS RedShift etc. and commercial technologies to support product teams and business operations
Proven track record of helping grow team members in their careers and attracting top talent to the team.
Deep knowledge and expertise in designing experiments to measure product impact, and developing automated processes to enable self-serve analytics
Strong technical background and experience working via influence with Engineering, Product Management, Design, and Marketing to drive a high-volume product business for a mobile app or website
Bachelor’s degree, in Statistics, Applied Mathematics, Computer Science, Economics, or other quantitative field, or equivalent experience
Hands-on experience with ETL, data pipelines, Python, SQL, R and various IDEs (Jupyter Notebooks etc.)
Excellent verbal and written communication skills, including comfort presenting to executives and large groups

Nice to have

Experience supporting a subscription-based business using consumer-facing mobile applications
Knowledge of the creative tools ecosystem and technology, ideally having worked in that space
Appreciation for photography and/or the visual arts

About VSCO
VSCO is a mobile app that helps you create beautiful, professional-looking photos and videos right from your mobile phone. We offer extensive high-end photo and video editing features, including 200+ presets, and access to a vibrant global community that inspires people to create and to share their diverse experiences with one another. Across all products and services, VSCO’s mission is to help everybody fall in love with their own creativity.

Job Perks
Equity, health, vision, dental insurance for families, flexible vacation policy, Creative Fridays, and a quarterly “Hack Week” to foster engineering ingenuity!

Why VSCO?
Creative Freedom
We value the creative process and our employees’ opinions — input is encouraged, regardless of your position or title. We want to work with people who are driven and demonstrate initiative in taking our mission to the next level.
The Working Life
At VSCO, everyone works hard but also takes the time to enjoy life outside of the office. Balance is important to us.
It Won’t Be Boring
Try new things. Think outside the box. We celebrate an environment that fights stagnation and challenges the status quo.
Interested in this position?
Tell us why you want to work at VSCO and what we should know about you.
VSCO believes in building a safe place for creative expression and celebrating that which makes us human, welcoming unique and personal backgrounds and experiences. We’re proud to foster diverse perspectives within VSCO as we continue to build an inclusive culture

#LI-Remote


Senior Data Scientist

We believe each moment in sports can change the plan, change the game and change lives. That’s why our mission is to build the world’s most powerful network of sports video and data to empower teams to make every moment count.
How? By hiring people around the world who want to help us support coaches, players, analysts, recruiters, teams, clubs and fans. Hudl customers use our products to capture video, analyse data, share highlights and a lot more. They stay ahead of the game with the latest technology and we help them achieve their goals.
Want to join us?

We’re looking for a Senior Data Scientist to join our team and help us bring Hudl’s products to the next level by building more machine learning solutions. AML's focus is to scale Machine Learning(ML) at Hudl and keep improving Hudl products and workflows by integrating Machine Learning into them. AML is generating data by what Hudl knows best - video - and provides automation in a number of applications. We already have a number of  ML models in production powering automation across Hudl and this is only the start of our journey. You will be part of a team currently focused on building deep learning algorithms with the aim to automatically extract high-quality data from video and images. You will have an impact across a number of projects and enable capabilities only possible through Machine learning.

You are

A Computer Vision scientist. Have 3+ years experience developing deep learning algorithms end-to-end, from formulating the problem, doing discovery on state-of-the-art techniques to developing production-ready code. You’ll likely be working with PyTorch and a number of AWS services.

Interested in digging into data to solve problems. Systems and processes don’t always work as expected, we need to evaluate data to make sure everything is operating as intended and has the effects we desire.

A problem solver. You are able to solve problems with unclear solutions in creative ways.

Flexible and excited to learn totally new domains and technologies. Your team will do whatever it takes to solve the problems at a high standard and get an algorithm into production. You see the opportunity in this and are ready to learn something new.

Someone who enjoys iterating from prototypes to production systems. It’s not always clear what the best implementation will be and we’ll have a lot of ideas that need to be evaluated. You know how to balance quick iteration with production quality updates, when requirements need to be adjusted, and when to push for more or less time on an experiment.

You will

Build algorithms to solve high-impact computer vision problems,

Learn how to build production-ready algorithms and iintegrate machine learning into Hudl products.

Collaborate with multiple product teams.

Have an impact directly on your users by integrating machine learning into Hudl’s products providing value to coaches and players.

We Will

Celebrate work at Hudl retreats. We like to gather our Hudlies from around the world to showcase achievements and strategize for the future.

Treat you like an adult. We’re all about a healthy work-life balance. We’ll give you unlimited vacation time and have company-wide timeout days (no meetings allowed).

Provide career growth. We’re lifelong learners who encourage professional development. We’ll give you tons of resources and opportunities to keep growing.

Supply you with tools for success. We've invested in our office spaces, designing them with our employees in mind. You’ll have the enriching, flexible environment and powerful hardware you need to do your job well.

Support your mental health. We care about our employees’ wellbeing. Our Employee Assistance Program and Employee Resource Groups have you covered.

Diversity at Hudl
Hudl is an equal opportunity employer. We understand the power of a diverse team, celebrate differences and promote inclusion.
We also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don’t hesitate to apply—we’d love to hear from you.
Privacy Policy
https://www.hudl.com/jobs/hudl-applicant-and-candidate-privacy-policy


Lead Data Scientist Marketplace

What this position is about:
The Data Science Team vision is to bridge the gap between strategic decision-makers at StockX. We serve as impartial, trusted advisors to the organization to drive and empower innovation. We prioritize holistic models and risk management techniques to solve business problems and develop a deeper understanding of the marketplace. We leverage that understanding to inform MVP development and test-and-learn approaches to expedite time-to-ROI.
As a Lead Data Scientist you will harness the complexity of our global two-sided marketplace and develop new features for internal and external users to grow the total resell market for consumer goods.
What you’ll do:

Dive into the unique needs of buyers and sellers throughout the global marketplace
Develop econometric, statistical, and optimization models with applications in marketplace design, pricing, and experimentation
Conduct competitive analysis to inform strategic decision-making
Present findings to both technical and non-technical business leaders
Design new data visualizations to distill complex topics for internal and external users
Partner with engineers and product managers to implement new solutions based on your prototypes
Identify new opportunities to apply quantitative methods to grow the business
Mentor junior team members and educate business partners on new approaches

 About you:

Preferred advanced degree in relevant STEM field (Economics, Mathematics, Operations Research, Applied Statistics) or equivalent experience
Ability to use a programming language like R or Python to work efficiently with large datasets
Proficiency with SQL languages and other similar tools
Experience with exploratory data analysis, statistical testing, and model development
5+ years of applied marketplace, pricing, yield management, or similar experience
Bonus points for experience modeling network graphs, designing for antifragility, or MCMC simulation


Data Scientist

As a Data Scientist at Follow Up Boss, you'll help answer key questions for the product and business. You'll collect, explore, and perform quantitative analysis on our data to generate insights and findings for our product and business. You'll develop and code automated processes to clean and evaluate large datasets from multiple disparate sources. You'll help improve the tooling and technologies we use to gain insights from our data. You'll collaborate closely with our product and management teams. Ultimately, your work will have direct impact on the value and user experience of our products.


Senior Data Scientist

Company: FedEx ServicesJob Title: Senior Data ScientistJob Requisition Number: RC486996Category: Decision Science & AnalyticsPay Type: ExemptLocations:Remote, Tennessee 38120United States
Colorado Residents Only – Compensation: Monthly Salary $7545 - $12508The estimate displayed represents the typical salary range or starting rate of candidates hired in Colorado. Factors that may be used to determine your actual salary may include your specific skills, your work location, how many years of experience you have, and comparison to other employees already in this role. This information is provided to applicants in accordance to the Colorado Equal Pay for Equal Work Act.
Job Summary:
Provide expertise and leadership at the enterprise level related to vast quantities of data (including disparate data), enterprise analytics, statistical modeling, and initiatives.Leads staff in descriptive, predictive, prescriptive and ensemble modeling, advanced statistical techniques, use of database tools and/or other approaches in quantitative analysis of complex business situations.Creates and executes solutions from initial concept to fully tested production, and communicates results to a broad range of audiences.Advanced use of current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management, via understanding of the business model and the information available for analysis.Uses data, statistical and quantitative analysis, explanatory and high complexity predictive modeling and fact based management to drive decision making.Mentors less senior staff.Leads cross functional teams.Routinely work on multiple highly complex assignments.Provides consultation to Sr. Leadership on a normal basis.
Minimum Qualifications:
Masters degree or equivalent in a quantitative discipline required.Five (5) years work experience in measurement and analysis, quantitative business problem solving, operations analysis, marketing analysis, simulation and/or predictive analytics.Superior analytical skills with diverse analytics and statistical software and applications.Excellent interpersonal skills, written, and oral communication skills.Proven leadership skills.
High Level Expectations:
Understand critical business logic, processes and systems used by Global Sales teams to organize their customer base and assign representationEffectively communicate, collaborate with Global Sales teams and provide timely solutions to problems in a fast-paced environmentLead multiple work streams with competing priorities to completion in a timely manner with limited supervision
Abilities/Knowledge/Skills Considered a Plus:
Statistical Analysis & Evaluation
Develops experimental design approaches to validate finding(s) or test hypotheses.Identifies/creates the appropriate algorithm to discover patterns.Gathers relevant information, identifies relationships, deduces from cause to effect, and draws logical conclusions.Finds patterns in the data and finding correlation in related or unrelated variables.Works in iterative processes with the customer/business partner and validates findings.Establishes scalable, efficient, processes for model development, model validation, model implementation and large-scale data analysis.Develops innovative and effective approaches to solve analytical problems and communicates results and methodologies.Develop metrics that can be used to drive business decisions.
Presentation/Strategic Recommendations
Story telling/presenting with data insights and actionable recommendations.Helps the business understand the scientific principles behind their process in order to gain stakeholder buy-in.Provides updates and analytical presentations to stakeholders across the enterprise.Work with business users to assist and teach tools and techniques to the teams while partnering with the business users to solve their business problems.Provides thought leadership and dependable execution on diverse projects.Identifies emergent trends and opportunities for future business growth and development.
Domicile: This position will be domiciled in any US based location.
Remote Work: The ability to work remotely within the United States may be available based on business need.
Application Criteria: To be considered, please upload a copy of your current resume to include beginning and ending dates for each employer/position and answer job screening questionnaire
Employee Benefits: Medical, dental, and vision insurance; paid Life and AD&D insurance; tuition reimbursement; paid sick leave; paid parental leave, paid vacation, and additional paid time off; geographic pay ranges; 401K with Company match and incentive bonus potential; sales incentive compensation for selling roles.

FedEx. Where now meets next.
Our vision is to be the earth's most engaged advocates of connected commerce where open borders, new markets and fair, sustainable practices are the norm for the billions of personal supply chains being managed every day in our always on, mobile-first world. We stand for ease, access and opportunity. We lead purposeful innovation, champion entrepreneurs, advocate free trade and empower humans and their place in the era of autonomy and AI. We fight for our customers, a more sustainable planet and an ethical playing field.
FedEx inspires its more than 570,000 team members to remain focused on safety, the highest ethical and professional standards and the needs of their customers and communities. FedEx is committed to connecting people and possibilities around the world responsibly and resourcefully, with a goal to achieve carbon-neutral operations by 2040.
FedEx has been recognized on many different lists both for business success and for being a great employer:
Fortune "World’s Most Admired Companies" – 2021Forbes "Best Employers for Diversity" - 2021LinkedIn "Top 100 Companies" - 2021TIME "100 Most Influential Companies" - 2021World HRD Congress "Best Gender Equality Workplace" – 2021InsiderPro ComputerWorld "Best Places to Work for IT" – 2021
Application Instructions/Deadline:
Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by close of business (5:00pm CST) on the date below.  If the date below is blank, there is no specified closing date for this requisition.03-11-2022

FedEx Services is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, genetics disability, or protected Veteran status.
FedEx Services does not discriminate against qualified individuals with disabilities in regard to job application procedures, hiring, and other terms and conditions of employment. Further, FedEx Services is prepared to make reasonable accommodations for the known physical or mental limitations of an otherwise qualified applicant or employee to enable the applicant or employee to be considered for the desired position, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation will impose an undue hardship. If a reasonable accommodation is needed, please contact recruitmentsupport@fedex.com.


Data Scientist Advisor Dataworks

Company: FedEx ServicesJob Title: Data Scientist Advisor - Dataworks - RemoteJob Requisition Number: RC487867Category: Decision Science & AnalyticsPay Type: ExemptLocations:Remote, Tennessee 38120United States
Colorado Residents Only – Compensation: Monthly Salary $8130.79 - $13480.12The estimate displayed represents the typical salary range or starting rate of candidates hired in Colorado. Factors that may be used to determine your actual salary may include your specific skills, your work location, how many years of experience you have, and comparison to other employees already in this role. This information is provided to applicants in accordance to the Colorado Equal Pay for Equal Work Act.
Summary:Takes ownership and responsibility over major data science initiatives. Advances Dataworks’ broad capabilities to use and deploy cutting edge data science and machine learning tools and methods in Dataworks projects, platforms and products. Simultaneously works to keep Dataworks on the bleeding edge by understanding and implementing the very latest and most sophisticated methods and tools for grappling with extremely large scale and complex problems. Leads modeling and development to support operations initiatives, strategic programs and new products/solutions, through the use of advanced descriptive, diagnostic, predictive, prescriptive and ensemble modeling, advanced statistical techniques, and complex mathematical modeling/tool development. Develops solutions supporting the movement of data and information assets following API-First / Service-Oriented Architecture principles. Leverages proficiency in ML Ops, CI/CD processes and machine learning / data engineering practices to ensure sustainable model development and provide recommendations on highly complex problems. Mentors less senior team members to drive results. Leads and works with cross-functional teams.The Data Scientist Advisor plays a pivotal role, focused on creating and driving data science innovation within Dataworks, helping define and build the Dataworks organization, and enabling the delivery of key business initiatives. S/he acts as a “universal translator” between IT, business, software engineers and data engineers, collaborating with these multi-disciplinary teams. The Data Scientist Advisor will contribute to the creation and adherence of technical standards for data science and machine learning, including the design and construction of reusable data assets. S/he will work with large data sets and solve difficult analytical problems, applying advanced methods. S/he will lead the creation and implementation of solutions from concept to production, using current and emerging technologies to evaluate trends and develop actionable insights and recommendations. Day-to-day, s/he will be deeply involved in code reviews and large-scale deployments. S/he will also provide mentorship and guidance to junior data scientists to support the continued training and up-skilling of the Data Science team.Essential Job Duties & Responsibilities:
Understanding in depth both the business and technical problems Dataworks aims to solveExploring data and crafting models to answer core business problems that may not have a common blueprintLeading the invention of new approaches and algorithms for tackling data intensive problemsPioneering R&D efforts to rapidly understand and assimilate state of the art methodsScaling up from “laptop-scale” to “cluster scale” problems by leading efforts to standardize and industrialize solutionsDelivering tangible value very rapidly, collaborating with diverse teams of varying disciplinesInteracting with senior technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and identify opportunities for improvementCodifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases
Skill/Knowledge Considered a Plus:
Technical background in computer science, data science, machine learning, artificial intelligence, statistics or other quantitative and computational scienceA compelling track record of Data Science / Engineer expertise, designing and deploying large scale technical solutions, which deliver tangible, ongoing value
Direct experience having built and deployed robust, complex production systems through Cloud technologies that implement modern, data scientific methods at scaleAbility to context-switch, to provide support to dispersed teams which may need an “expert hacker” to unblock an especially challenging technical obstacleDemonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver valueAn ‘engineering’ mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impactAbility to work with distributed teams on code-based deliverables using version control
Solid theoretical grounding in the mathematical core of the major ideas in data scienceExpert level understanding of a class of modelling or analytical techniques, often supported by Masters- or Doctoral-level research in the subjectDeep fluency in the mathematical ‘primitives’ and generalizations of data science – e.g., expertise in Linear Algebra, and Vector CalculusUse of agile and devops practices for project and software management including CI/CD; process improvement and quality management experience (e.g., Lean, Six Sigma, QDM expert)Demonstrated expertise in working with some of the following common languages and tools:SKLearn, XGBoost, Tensorflow, Pytorch, MLlib and other core ML frameworksPython, Scala, R, C++, Java and other modern programming languagesMLFlow, Databricks, Spark, Kafka, Hive, Hadoop and other data tools and frameworksCPLEX, Gurobi and other similar optimization modeling packagesCPLEX, Gurobi and other similar optimization modeling packages
Minimum Qualifications:Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline. Directly related PhD preferred. Six (6) years’ work experience in applying data science (machine learning, artificial intelligence, statistical analysis), operations research (optimization, algorithms, mathematical modeling), and data analytics modeling to decrease cost, increase profitability, and improve customer experience. Extensive knowledge in advanced data science, statistical analysis, and machine learning methods, including the iterative development of analysis pipelines to provide insights at scale. Extensive experience conducting end-to-end analyses, including data gathering and requirements specification, processing, analysis and presentation. Strong familiarity with the transportation industry, competitors, and evolving technologies. Experience providing leadership in a general planning or consulting setting. Experience as a leader or a senior member of multi-functional project teams. Strong human relations, organizational / time management, project management, and software development skills. Excellent interpersonal skills and the ability to present and communicate effectively to executive audiences.
Domicile / Relocation Information:This position can be domiciled anywhere in the United States.The ability to work remotely within the United States may be available based on business need.Relocation assistance may be available based on business need.
Application Criteria / Deadline:Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by 5 pm Central Time, Thursday, March 10, 2022.
Employee Benefits:  Medical, Dental, and Vision Insurance; Paid Life and AD&D insurance; Tuition Reimbursement; Paid Sick Leave; Paid Parental Leave, Paid Vacation, Paid Military Leave, and additional Paid Time Off; Geographic Pay Ranges; 401k with Company match and incentive bonus potential; Sales Incentive Compensation for selling roles.

Employee Benefits: Medical, dental, and vision insurance; paid Life and AD&D insurance; tuition reimbursement; paid sick leave; paid parental leave, paid vacation, and additional paid time off; geographic pay ranges; 401K with Company match and incentive bonus potential; sales incentive compensation for selling roles.

FedEx. Where now meets next.
Our vision is to be the earth's most engaged advocates of connected commerce where open borders, new markets and fair, sustainable practices are the norm for the billions of personal supply chains being managed every day in our always on, mobile-first world. We stand for ease, access and opportunity. We lead purposeful innovation, champion entrepreneurs, advocate free trade and empower humans and their place in the era of autonomy and AI. We fight for our customers, a more sustainable planet and an ethical playing field.
FedEx inspires its more than 570,000 team members to remain focused on safety, the highest ethical and professional standards and the needs of their customers and communities. FedEx is committed to connecting people and possibilities around the world responsibly and resourcefully, with a goal to achieve carbon-neutral operations by 2040.
FedEx has been recognized on many different lists both for business success and for being a great employer:
Fortune "World’s Most Admired Companies" – 2021Forbes "Best Employers for Diversity" - 2021LinkedIn "Top 100 Companies" - 2021TIME "100 Most Influential Companies" - 2021World HRD Congress "Best Gender Equality Workplace" – 2021InsiderPro ComputerWorld "Best Places to Work for IT" – 2021
Application Instructions/Deadline:
Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire by close of business (5:00pm CST) on the date below.  If the date below is blank, there is no specified closing date for this requisition.03-11-2022

FedEx Services is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, genetics disability, or protected Veteran status.
FedEx Services does not discriminate against qualified individuals with disabilities in regard to job application procedures, hiring, and other terms and conditions of employment. Further, FedEx Services is prepared to make reasonable accommodations for the known physical or mental limitations of an otherwise qualified applicant or employee to enable the applicant or employee to be considered for the desired position, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation will impose an undue hardship. If a reasonable accommodation is needed, please contact recruitmentsupport@fedex.com.


Senior Data Scientist Product

About the company

At Divvy, Our vision is to become the modern software bank for business of every small-to-medium business in America. Our FREE financial SaaS platform enables businesses to spend smarter by providing instant insight and transparency into company-wide spend and the ability to easily manage it; all in real-time! (+ many more features!)

In June 2021, Divvy joined forces with Bill.com through a $2.5 billion dollar acquisition, validating our mission to build the one-stop-shop for business finances. With 500+ mission-driven employees and extreme monthly growth, we’re well on our way.

*Certain positions at Divvy are eligible for remote work - within the United States*

About The Position

We are investing heavily in machine learning at Divvy.  Next year, we are increasing the number of data scientists working on our cross-functional development teams and also the infrastructure needed to continuously deliver machine learning models that improve the experience of using Divvy.  You will have the opportunity to help architect our machine learning infrastructure and work with product managers to identify analytical areas of growth, create customer-facing machine learning models, and show that value with A/B testing.

Additionally, team members collaborate with Product leadership to identify high-impact opportunities, define analytical roadmaps, and help drive toward those opportunities.

What You'll Be Doing

Designing, implementing and delivering machine learning models in a production AWS environment to enhance our application (using Python’s machine learning libraries, SageMaker, Kafka, SeldonCore, Snowflake, Git, GitLab CI/CD, Splunk, etc.)
Apply your expertise in deep learning, quantitative analysis, data mining, and the presentation of data to see beyond the numbers to increase revenue and improve our competitive position
Partner with Product and Engineering teams to solve problems and identify trends and opportunities with machine learning
Inform, influence, support, and execute our product decisions and product launches

Qualifications

You have 5+ years of experience in a Data Science role solving high-impact business problems and a demonstrated track-record of high-impact projects in production
You have a Master’s degree in a quantitative or technical field (Statistics, Computer Science, etc.)
You have strong programming skills (Python or similar)
You have experience working with Product leaders and technical decision-making (A/B testing, project prioritization, development, and monitoring)
You have experience translating and presenting technical results to non-technical stakeholders and senior leadership
You are a creative problem-solver, who proactively finds and identifies simple solutions to challenging, open-ended problems

Bonus Points

You have a doctorate degree in a quantitative or technical field (Statistics, Computer Science, etc.)
You have experience working as a Data Scientist at a technology or fin-tech company
You have led model development/deployments with AWS Sage-maker and other AWS services
You have managed a team of Scientists and Analysts

Total rewards

At Divvy, we’ve been intentional in designing scalable benefits, rewards, and perks that meet our workforce where they are while managing expectations as we scale. Just as pay parity was foundational for us in base salary, and remains our commitment and priority, our total rewards programs reflect our commitment to inclusivity and access for all.

At Divvy, you’ll enjoy:
- 100% paid employee health, dental, and vision insurance - choose between HMO, PPO, and HDHP plans
- HSA & FSA accounts w/ HSA Company Contribution
- Unlimited PTO for Salaried, Exempt employees / Accrued PTO for Hourly, Nonexempt employees
- 401k w/ Fidelity
- 12 weeks Parental Leave Program administered by Matrix for birth, non-birth, and adoptive parents (paid coordinating with any state and our Short-Term Disability insurance where applicable).
- 11+ Observed holidays and wellness days
- Wellness & Fitness initiatives
- Access to the Calm App. - a sleep, meditation and relaxation app free of charge
- Your own Divvy credit card (Divvy Uses Divvy or DuD)with $100 given every month to use on anything you want!
- Employee Stock Purchase Program: employees will be able to purchase Bill.com stock at a discount.

Perks are nice, but perks don’t make a company or individual successful - the work does. At Divvy, we’re building the financial nervous system of business - faster, better, smarter, and the work compels us to show up each day for our customers and our teams while feeling well supported in our benefits.

**We are an equal opportunity employer and value diversity 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.**


Data Scientist

Recurrency is building the automated enterprise. Our product is the world's first enterprise optimization system (EOS), a machine learning application that integrates with legacy enterprise resource planners (ERP) like SAP, Oracle, Microsoft Dynamics, or Epicor, and provides the user with the flows and recommendations on how to better buy, manage, price, and sell their inventory. Our customers are wholesalers and distributors, ranging from family-owned companies to the Fortune 500.
Despite being a multi-trillion dollar industry, wholesale distribution has a striking lack of software to support even basic operations, with most ERPs relying on decades-old architecture. Founded in Los Angeles and supporting a fully-remote team across the US, we are a well-funded Series A-stage startup, backed by some of the most successful VCs in the world.

As a Data Scientist, you will leverage existing knowledge in Machine Learning and Big Data to build and deploy the models that drive key business insight for our customers. As one of the founding members of our team, you'll be engineering the next-generation data science features for the world-wide supply chain. Our team does it all - and you will be a core contributor - designing, testing, and deploying a system of bleeding edge Machine Learning models, preparing data and engineering features, tracking metrics, maintaining the health of our code, and continually growing as an engineer and researcher. The ideal candidate is both forward-thinking and hands-on, has a strong sense of ownership and drive for delivery, and is a good mentor and co-worker. At Recurrency, we pride ourselves on the collaboration between Product, Design, and Engineering and so you have the opportunity to be involved in the entire product lifecycle, from ideation through building, deploying, and continual improvement and evolution.

What you will own:

Develop forecasting, recommendation, and pricing models to improve the quality of wholesale distribution systems.
Feature engineering and data pipeline design.
Metrics building and monitoring.
Work with our Engineers and Product team to build and improve efficient data products.

What you will bring on Day 1:

MS or PhD in Data Science, Computer Science, Math or related field.
3+ years research experience in Machine Learning.
Knowledge in forecasting, recommendation, or pricing is a plus.
1+ years in a Data Science, Machine Learning or related role.
Fluency in Python and PyTorch.
Previous experience with databases (Postgres or MongoDB) and Cloud technology stacks (AWS, etc).
Foundation in data structures, algorithms, and software design with strong analytical and debugging skills.
Strong interpersonal, communication, and collaboration skills with great problem solving abilities.
A desire to be part of a diverse and growing team.

Nice-to-haves, which we're sure you'll pick up along the way:

Experience with Docker, Airflow, ECS

#LI-Remote

Recurrency is a fully-remote team, with team members located throughout the US. While it will never be a requirement, there is a high likelihood that we will eventually develop a bi-coastal office presence, centered around Los Angeles & NYC, for those who prefer in-person to remote work.

Recurrency celebrates and embraces diversity and is committed to building a team that represents a variety of experiences, backgrounds, and skills. We do not discriminate on the basis of race, color, religion, marital status, age, gender identity, gender expression, sexual orientation, non-disqualifying physical or mental disability, national origin, veteran status, or other applicable legally protected characteristics.


Senior Data Scientist

About you:
As a Senior Data Scientist you will lead the development and the deployment of machine learning models that will drive business decisions, with a focus on model monitoring. You will mentor junior data scientists, and lead the data team expansion and adoption of good practices.You will utilize your strong problem-solving skills, computational experience, and business analytics to solve real-world problems at scale. You will design and implement a variety of data products to support and drive business operations. You will cooperate with other business leaders from different teams (Sales, Marketing, Product, and Technology).
Required Skills and Experience:

Proficient in Python and SQL
Strong data visualization and analysis skills (pandas, numpy, matplotlib, scikit learn, tensorflow, etc)
Professional experience with the development and deployment of predictive models, with an emphasis on time series and categorization models.
Professional habits around model validation, testing, and tracking
Knowledgeable of best practices such as version control (git), documentation, environments, unit tests, containerization, and task scheduling
Experience with statistical techniques and their applications in a business environment
An investigative journalist-type approach when it comes to getting answers to a problem
Comfort with cross-team collaboration and communicating technical ideas to a non-technical audience
Strong quantitative background, having either been a graduate of a data science bootcamp, or the holder of an undergraduate or graduate degree in data science, statistics, mathematics, physics, econometrics, or another related quantitative field
5 years of relevant working experience

Preferred Skills and Experience:

Experience with ML services like AWS Sagemaker, DataBrew, Feature Store
Experience with prototype-to-production model development
Experience with model monitoring (drift / performance…)
Comfortable in working on the line between data science and data engineering

Perks:

Remote-first work environment (within the continental United States)
Virtual happy hours and team social activities
Generous benefits package with cost of some medical and dental plans covered at 100%
401(k) plan with match that immediately vests
Professional education reimbursement program
Paid Parental Leave


Data Scientist

About you:
As a Data Scientist you will develop and deploy machine learning models that will drive business decisions and improve user experience. You will utilize your strong problem-solving skills, programming know-how, and business analytics to solve real-world problems at scale. You will access and analyze a variety of data to perform descriptive, predictive and prescriptive analytics, working closely with stakeholders from different teams (Sales, Marketing, Product, and Technology). You will be responsible for creating stable models that will run in a production environment.The candidate will have a quantitative background, and past experience working collaboratively with business partners to deliver impactful data products.
Required Skills and Experience:

Proficient in Python and SQL
Strong data visualization and analysis skills (pandas, numpy, matplotlib, scikit learn, tensorflow, etc)
Working experience with the development and deployment of predictive models, with an emphasis on time series and categorization models.
Strong statistical foundation
Skilled in cross-team collaboration and in communicating technical ideas to a non-technical audience
Experience with model development/deployment best practices (documentation, git, environments, unit tests...)
An investigative journalist-type approach when it comes to getting answers to a problem
Strong quantitative background, having either been a graduate of a data science bootcamp, or the holder of an undergraduate or graduate degree in data science, statistics, mathematics, physics, econometrics, or another related quantitative field
3 years of relevant working experience

Preferred Skills and Experience:

Experience with ML services like AWS Sagemaker, DataBrew, Feature Store
Experience in model deployment, and model monitoring (drift, performance, etc.)
Experience with prototype-to-production code development
Experience in working closely with data engineers

Perks:

Remote-first work environment (within the continental United States)
Virtual happy hours and team social activities
Generous benefits package with cost of some medical and dental plans covered at 100%
401(k) plan with match that immediately vests
Professional education reimbursement program
Paid Parental Leave


Junior Data Scientist

About you:
As a Junior Data Scientist you will contribute to the development and the deployment of machine learning models that will drive business decisions and improve user experience. You will utilize problem-solving skills, programming know-how, and business analytics to solve real-world problems at scale. You will access and analyze a variety of data to perform descriptive, predictive and prescriptive analytics, and you will communicate findings to different stakeholders.In addition to building solutions, you must possess the aptitude and hunger to learn.
Required Skills and Experience:

Proficient in Python and SQL
Data analysis and data visualization skills (pandas, numpy, matplotlib, scikit learn, etc.)
Experience in building and iterating on predictive models (time series, classification, clustering...)
Strong statistical foundation
An investigative journalist-type approach when it comes to getting answers to a problem
Comfort with cross-team collaboration and communicating technical ideas to a non-technical audience
Strong quantitative background (having either been a graduate of a data science bootcamp, or the holder of an undergraduate or graduate degree in data science, statistics, mathematics, physics, econometrics, or another related quantitative field)
One year of Data Science related experience

Preferred Skills and Experience:

Experience with time series modeling
Experience building pipelines and dashboards
Experience in model deployment and model monitoring (drift / performance)
Experience with best practices such as version control tools (git), proper documentation, library packaging, versioning, testing

Perks:

Remote-first work environment (within the continental United States)
Virtual happy hours and team social activities
Generous benefits package with cost of some medical and dental plans covered at 100%
401(k) plan with match that immediately vests
Professional education reimbursement program
Paid Parental Leave


Data Scientist Machine Learning

About Quizlet:

Inspired by our belief that anyone can learn anything and powered by our own curiosity, we build the smartest tools we can imagine to help students learn.

Quizlet is the popular, global learning platform and app that millions of students, teachers and everyday people use to study any subject imaginable for school, work or as part of their personal interests -- including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals. We’re on track to become the undisputed leader in user-generated learning content and engagement, at the scale of YouTube.

Valued at $1 billion, Quizlet has raised over $60 million in venture capital from investors including Icon Ventures, Union Square Ventures, General Atlantic, Costanoa Ventures, Owl Ventures, and Altos Ventures.

To serve our global community of learners, our teams tackle lofty technical challenges and design for use cases across cultures and languages. We work hard, act like owners, and collaborate every chance we get. We’re energized by the potential to power more learners through multiple approaches and various tools.

With offices in major cities around the world and ambitious plans for expansion, we remain grounded in our commitment to our mission of helping people learn. We’re looking for new team members who crave a challenge and want to help us continue amplifying our impact.

About the Team:

Quizlet’s Machine Learning is core to Quizlet’s vision in being an AI tutor for everyone. We inspire, validate, build, and continuously improve ML/AI products to scale learning. Some things we’ve worked on include personalized learning experiences by modeling how students learn, smart assessment, and understanding our vast UGC study content (e.g. with subject classification). We make use of our unique data of billions of study interactions (per week!), learning science, diverse domain expertise, and many kinds of ML algorithms.

About the Role:

As an ML Data Scientist working on ads, you will be working with other data scientists, product managers, product, engineering, and sales to build an amazing ads product for our advertisers and users.

In this role, you will:

Help improve and expand our ads product offering by using various ML techniques
Understand model stability and sources of volatility, and propose solutions for these
Leverage data to inform the right business decision, such as designing how to evaluate model updates and whether they should be launched
Implement solutions in production: writing production tables / services or directly improving our audience definitions

What you bring to the table:

You are enthusiastic to learn (and teach) new technologies, machine learning techniques, and keep up with advancements in the AdTech industry
Experience answering big picture questions by framing the business question into an analytical plan that can be communicate to stakeholders
Proficiency in Python and SQL, with knowledge of good engineering practices and an ability to learn new languages quickly
Solid understanding of various ML models, NLP, and optimization techniques
Genuine interests in going deep into the data to understand the stories and build theory and actionable insight from it
You are a compassionate team player and you see your growth and success entangled with the growth and success of your peers

Bonus points if you have:
Experience working in AdTech

Compensation, Benefits & Perks:

Colorado candidates: Base pay for this role starts at $99,000.  The actual pay may be higher depending on your skills, qualifications, and experience
[This role is eligible for commission payments (if applicable)]
Collaborate with your manager and team to create a healthy work-life balance
20 vacation days (and we expect you to take them!); 10 paid holidays plus additional days off in 2022 due to Covid
Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, HMO, VSP Choice)
Employer-sponsored 401k plan with company match
Professional Development stipend (teach yourself something new)
Paid Family Leave, FSA, HSA, Commuter benefits, Wellness benefits
40 hours of annual paid time off to participate in volunteer programs of choice
Employees are eligible to participate in the Quizlet stock option program

We strive to make everyone feel comfortable and welcome!
We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership.
We provide a transparent setting, that gives  a comprehensive view of who we are!

In Closing:

We hope you are excited about everything you read so far. We highly encourage you to apply for this position, even if you feel you do not meet all the requirements. Quizlet is always looking for amazing folks that believe in our mission and can contribute to our team in various ways - not merely candidates that fit a certain mold.

We have a bias for action, take initiative, and hustle to deliver results. We make informed decisions whenever possible but are unafraid to take calculated risks on great ideas to promote learning. We embrace challenges and see effort as the path to mastery. We’re constantly seeking opportunities to learn and we embrace curiosity. Quality matters at Quizlet, and we hold the bar high on everything we do.

We treat each other with honesty and respect, encourage vigorous debate, and seek critical feedback. We value diversity, humility, transparency, and collaboration as the best paths to our success — as individuals, as a team, and as a company.

Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. We are actively working to build a team that is representative of the diverse communities we serve, and an open, inclusive work environment where all employees can thrive. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us!

To All Recruiters and Placement Agencies:
At this time Quizlet does not accept unsolicited agency resumes and/or profiles.
Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.


Senior Data Scientist Data Products

Wealthsimple is on a mission to help everyone achieve financial freedom, no matter who they are or how much they have. Using smart technology, Wealthsimple takes financial services that are often confusing, opaque and expensive and makes them simple, transparent, and low-cost. We're the company behind some of Canada's leading digital financial products, and are growing faster than ever.

Our team is reimagining what it means to manage your money. Smart, high-performing team members will challenge you to learn and grow every day. We value great work and great ideas — not ego. We're looking for talented people who love a fast-paced environment, and want to ship often and make an impact with groundbreaking ideas.

We’re a remote-first team and output is more important than face time, so where you choose to work is up to you — as long as you have internet access, you can work from anywhere in Canada. Be a part of our Canadian success story and help shape the financial future of millions — join us!  Read our Culture Manual and learn more about how we work.

At Wealthsimple, we are building products for a diverse world and we need a diverse team to do that successfully. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Wealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know.

Data Science & Engineering

The Data Science & Engineering (DSE) team consists of data scientists and software engineers with diverse educational backgrounds such as math, operations research, economics, computer science, engineering and business. The team is responsible for enabling data-driven decision making and building data products at Wealthsimple. We achieve these goals by:

Building a high quality and scalable state-of-the-art data warehouse that powers all decision making
Leveraging machine learning and algorithms to help Wealthsimple build smarter financial products
Using decision science to understand the cause and effect of our business decisions

The Role - Data Products Team

We are building a multi-product company with a growing offering including Invest, Cash, Crypto, Trade and Tax products.

As a Data Scientist on the Data Products team, you will play a pivotal role in our mission to discover and deploy sustainable machine learning solutions to opportunities that exist across the organization. As such, you will work closely with the area owners along with a cross functional team consisting of full stack developers, product managers and operation specialists to unlock delightful product experiences and improve our operational efficiency.

We are looking for a senior data scientist with strong foundations in Python programming, fundamental understanding of machine learning algorithms, and preferably experience developing and deploying sustainable machine learning products into production.

Some projects include:

Developing a discovery feature to connect relevant content to clients looking to improve awareness and pertinent information for decision making (NLP, recommendation engine).
Enriching and later leveraging internal social graph to power referral, fraud and growth initiatives (Graph embeddings, ranking)
Launching long-term projects involving OCR to streamline identity verification and manual operational actions
Improving existing Machine Learning models for enhancing the client onboarding experience

In this role, you will:

Love data to make better decisions
Build stakeholder relationships to identify high impact opportunities which can be solved using machine learning
Believe that simple is better, Occam's razor is your friend
Take ownership and ship it
You release incrementally and iteratively
Get the best out of the team by leveraging their diverse educational backgrounds
Teach and learn from their teammates. We value making others successful

We are looking for people who have:

Excellent Python & SQL skills. Candidate should be an expert with OOP and complex data manipulation
Strong understanding of fundamental machine-learning algorithms - how they work, when to use them, strengths, limitations, implementations: linear / logistic model, SVM, KNN, tree-based models, k-means, word2vec, graph embeddings, etc.
Demonstrate knowledge in fundamentals of deep learning: initialization, backpropagation & gradient flow, optimization methods, etc. as well as familiarity with state-of-the-art architectures in DL domains
Strong understanding of statistics: both frequentist and Bayesian approaches
Excellent communicator
At least 3 years of first hand experience working with popular Python libraries such as pandas, scikit-learn, numpy, matplotlib
Expertise with deep learning frameworks like TensorFlow or PyTorch. It would be great if you have experience working with model hubs like tfhub or huggingface as well
Bonus points for hands-on experience with MLFlow, Apache Airflow, and a BI tool like Periscope, Mode Analytics or Tableau. Web development skills also appreciated
Bonus points for personal projects / research demonstrating candidate’s skills and domain knowledge


Director Of Data Science

VidMob is an award-winning Intelligent Creative Platform that provides an end-to-end technology solution for all a brand’s creative needs. It is an integrated platform combining first-of-a-kind creative analytics with best-in-class creative production to understand and improve marketing effectiveness.
We seek candidates that are curious, collaborative and committed to excellence. We take every hire seriously and only choose seriously talented team members. We care deeply about our employees and are dedicated to making VidMob an exceptional company to work for. VidMob is proud to offer comprehensive health plans paid for by the company, enhanced Maternity/Paternity Programs and unlimited vacation plans. We also provide employees with access to 401K plans, healthy food and snacks, and pre-taxed transit.
Responsibilities

Lead, manage & mentor a team of junior and mid-level Data Scientists.
Apply your expertise in quantitative analysis, machine learning, data mining, and data visualization to create an understanding of relationships between creative characteristics and ad performance data
Capture business requirements for data and analytic solutions and collaborate cross-functionally to ensure requirements align with business needs
Work with product management teams to develop data & machine learning roadmap and with data engineering teams to identify and implement data pipelines and tools to ensure efficient and seamless execution
Work with product management teams and community management teams to fully instrument VidMob’s “services-in-the-loop” approach (for creative decision, strategic insights and more) in order to accelerate model development for insights and creative optimization

Lead the development of our predictive algorithms across a number of different areas all with the aim of better understanding our customers and our business

Iterate on existing and prototype new algorithms and work with engineering to integrate into our production code base
Surface and analyze outputs from computer vision, optical character recognition (OCR) and machine learning
Partner in the creation of technology, dashboards and user interfaces available to clients for understanding creative performance
Institute quality control and ethical guidelines for algorithms, code, and outputs
Work closely with our cloud partners to adopt AutoML solutions allowing our internal resources to focus on market differentiating work.

Qualifications

7+ years of experience in data science and machine learning

3+ years of experience leading a team of data scientists, including mentorship, support, and performance management

Proven track record of delivering on practical research endeavors
Strong knowledge of machine learning algorithms (supervised and unsupervised learning) and advanced statistics (time series forecasting, clustering algorithms, probabilistic models)
Client centricity - an obsession with the client and ability to empathize; a natural bias towards taking a client-centric lens in how we frame, approach, and ultimately solve every problem the team works on
Creativity - you believe data exploration and analysis is an inherently creative endeavor,  and you have a knack of solving problems in non-linear ways utilizing all resources available to you
Curiosity and Forward Thinking - a natural and persistent inclination to explore, discover, and learn, and a general fascination with analytics. The drive to go beyond asking “what?” to ask “why?”; a commitment to digging beneath the surface and interrogating information versus accepting it at face value.
Experience dealing with large and disparate data sets and analytics tools
Experience working in Computer Vision, NLP and regression modeling
Experience with AWS AI/ML ecosystem and big data processing technologies (Redshift, Big Query)
Experience with the full ML lifecycle, including research, development, deployment, and iteration on ML models using tools such as Sagemaker or MLFlow