Staff Data Scientist Merchant Services

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Staff Data Scientist - Merchant Services (Remote, North America)
  Americas
Data Science & Engineering
Apply now
About Shopify
Opportunity is not evenly distributed. Shopify puts independence
within reach for anyone with a dream to start a business. Since
2006, we‚Äôve grown to over 10,000 employees and generated over $496
billion in sales for 2 million merchants in 175 countries. Every 28
seconds, an entrepreneur on Shopify makes their first sale.
This is life-defining work that directly impacts people‚Äôs lives as
much as it transforms your own. This is putting the power of the few
in the hands of the many, is a future with more voices rather than
fewer, and is creating more choices instead of an elite option.
About you
Moving at our pace brings a lot of change, complexity, and
ambiguity‚ÄĒand a little bit of chaos. Shopifolk thrive on that and are
comfortable being uncomfortable. That means Shopify is not the right
place for everyone.
Before you apply, consider if you can:
Care deeply about what you do and about making commerce better for everyone
Excel by seeking professional and personal hypergrowth
Keep up with an unrelenting pace (the week, not the quarter)
Be resilient and resourceful in face of ambiguity and thrive on (rather than endure) change
Bring critical thought and opinion
Embrace differences and disagreement to get shit done and move forward
Work digital-first for your daily work
About the role
Data science is a crucial part of Shopify‚Äôs mission to make commerce better for everyone. We‚Äôre the only team able to talk to all of our merchants; we represent their voice here at Shopify.¬† not only when we build for them, but when we figure out what to build and how to build it. This principally includes two types of work: building products directly backed by data (e.g. machine learning models), and listening to their voice to figure out what to build and how to build it.
Our Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.
Team Specific Details:
Within Merchant Services, our job is to build superpowers that put small businesses on a level playing field with the largest e-commerce players.
As a Staff Data Scientist, you are expected to play a crucial role pushing forward product development across multiple domains. Staff Data Scientists do this by informing high-level product strategy and execution, building a strong and broad operating picture allowing us to move quickly, and/or improving underlying algorithms, heuristics and rules powering individual products. We expect a very high degree of autonomy and proactivity, as well as the ability to compound the work of multiple data scientists into powerful conclusions.
Responsibilities:¬†
Proactively identify and champion projects that solve critical problems for merchants
Partner closely with product, engineering and other business leaders to influence product and program decisions with data
Own the operating picture and use a strong analytical toolbox to highlight opportunities and guide execution
Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
Influence leadership to drive more data-informed decisions
Define and advance best practices within data science and product teams
Qualifications
7-10 years of commercial experience as a Data Scientist ‚Äč‚Äč‚Äč‚Äč‚Äč‚Äčsolving high impact business problems
Proficiency in SQL and experience with software engineering fundamentals
Experience with applied statistics and general quantitative problem-solving
Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders
Curiosity about the problem domain and an analytical approach
Strong sense of ownership and growth mindset
Experience with one or more:
Deep understanding of advanced SQL techniques
Expertise with statistical techniques and their applications in business
Masterful data storytelling and strategic thinking
Deep understanding of dimensional modelling and scaling ETL pipelines
Experience launching productionized machine learning models at scale
Extensive domain experience in e-commerce, marketing or SaaS
All your information will be kept confidential according to EEO guidelines.
If you‚Äôre interested in helping us shape the future of commerce at Shopify, click the ‚ÄúApply Now‚ÄĚ button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.
As there are multiple positions, this posting will remain live until all positions have been filled. Successful candidates can expect to hear back from us within 2 weeks of application.
#LI-REMOTE
Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at¬†our Sustainability Reports¬†to learn more about Shopify‚Äôs commitments to our communities, and our planet.
At Shopify, we understand that experience comes in many forms. We‚Äôre dedicated to adding new perspectives to the team - so if your experience is this close to what we‚Äôre looking for, please consider applying.
Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at¬†our Sustainability Reports¬†to learn more about Shopify‚Äôs commitments to our communities, and our planet.
At Shopify, we understand that experience comes in many forms. We‚Äôre dedicated to adding new perspectives to the team - so if your experience is this close to what we‚Äôre looking for, please consider applying.
Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify‚Äôs commitments to our communities, and our planet.
At Shopify, we understand that experience comes in many forms. We‚Äôre dedicated to adding new perspectives to the team - so if your experience is this close to what we‚Äôre looking for, please consider applying.
The shape of a Shopify career
Ben joined Shopify as a frontline Support Advisor with no
background in programming or computer science. He‚Äôs now a
Director of Engineering. Spanning 10 jobs on 7 teams in 9 years,
Ben‚Äôs Shopify career path has twisted and turned as he‚Äôs worked
relentlessly to pursue a career as an engineer and adapted to
the pace of change‚ÄĒall fuelled by personal and professional
hypergrowth.

Our mission as a company is to spread entrepreneurship and help
individuals become their own bosses and take control over their
lives. I truly believe this mission and value in extreme personal
growth and development extends to what‚Äôs expected as a Shopifolk.
Shopify doesn‚Äôt like to tell people what to do. Not only is your
career in your own hands, a lot of your day-to-day is too, which
can be jarring for many people. To thrive here, you need to be
someone who‚Äôs willing to take big bets on yourself and figure
things out on your own.

              Ben Cox
              Director, Support & CX Engineering

Ben‚Äôs growth trajectory
2014-2016
A support advisor for 2 years
Studied dev skills. Learnt about our API. Became first API support person. Found bugs to fix.
Eventually became a software dev
2017-2019
Helped launch first finance product for merchants
Became senior dev and launched new support contact centre
Led a team as a dev manager
2020-2022
Scaled a team from 4 to 60+ as a senior dev manager
 Became Director for Support and CX Engineering
We hire people, not resumes. If you think you‚Äôre right for the role, apply now.
Apply now


Staff Data Scientist Finance

You will need to have:
7-10 years of commercial experience as in a data science role solving high impact business problems, including 3+ years leading and maintaining high performance data science teams
Experience building and managing high performance data science teams
Experience delivering business impact through analysis and data products
Experience building data pipelines and driving ETL design decisions
Technical leadership and management experience (you enjoy doing both).  You can jump into the code to the level that your direct reports admire and respect, but are also interested in developing people and capacity for your team
Experience creating data product strategies, shipping data products, iterating after launch, and trying again
Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
Strong ability to prioritize and communicate to technical and non-technical audiences alike
It would be great if you have:
Previous experience using Spark (either via Scala or Pyspark)
Experience with statistical methods like regression, GLMs or experiment design and analysis, shipping productionized machine learning systems or other advanced techniques are also welcome
Experience with data storytelling using Tableau, QlikView, Mode, Matplotlib, D3, or similar data visualization tools
All your information will be kept confidential according to EEO guidelines.
If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.
As there are multiple positions, this posting will remain live until all positions have been filled. Successful candidates can expect to hear back from us within 2 weeks of application.
#LI-REMOTE


Senior Data Scientist Partnership Insights

Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.
Our Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.
The One Shopify and Executive Insights Team is responsible for three areas:
Strategic Analysis & Projects:
Engaging in strategic projects and data investigations / deep dives to inform team strategies and investment plans (e.g., merchant segmentation & opportunity sizing; growth opportunities; roadmapping).
Performance Measurement & Operational Support:
Setting north star metrics, KPIs and targets for the team.
Building self-serve dashboards to support ongoing partner performance measurement for use both internally and externally.
Conducting deep dive performance analyses on pilots, product launches & GTM initiatives.
Supporting and engaging in Monthly and Quarterly Business Reviews, sharing data insights and performance.
Executive Insights:
Surfacing executive-level insights to inform executive briefs, investor relations & external facing reports.
In coordination with Partnerships & BizOps, building strong data narratives for executives that accurately reflect performance for our partners.


Senior Data Science Manager Buyer Trust

On the Buyer Trust team, we believe that buyers want to be able to trust independent merchants. Shop Promise helps merchants build this trust by showing potential buyers a guaranteed and branded delivery estimate across the buyer journey. Now that Shop Promise has been launched, we are looking for a strong leader to take the Buyer Trust Data Science team to the next phase in their journey. You’re joining a team in the early stages of building a product that has the potential to be transformational for merchants across the globe.
You will be:
Leading a team of super-talented data scientists
Guiding the short-term and long-term data science strategy for the Buyer Trust team
Providing technical leadership to our data science team as they analyze data, run experiments, create models, and build data products
Joining a cross-discipline product leadership team and contributing to the strategic decisions that guide the team’s roadmap
In partnership with product managers, engineers, and designers, building product experiences that enable Shop Promise to scale across our merchant base
This unique role combines global scale in a hyper-growth and fully remote environment. For the right individual this is the challenge and the opportunity of a lifetime.Some of the Data Science & Engineering members you’ll work with:
Mike Develin, Director of Data Science (Merchant Services)
Josh Kraut, Sr. Data Science Manager

Rohit Mishra, Director of Product, Markets and Buyer Trust


Senior Data Scientist

Job Posting Title
Senior Data Scientist
Why Big Fish Games?
Big Fish Games is the home of some of the biggest hit mobile casual games including EverMerge, Gummy Drop!, Cooking Craze, Fairway Solitaire, and many more.
We are curious and constantly seek improvement in all we do because that’s what our business demandsWe operate with good intentions, confidence, and humilityWe welcome diversity of background, thought, and experienceWe listen actively and value each otherWe foster a fun environment that inspires creativity
Overview
We are looking for an amazing Data Scientist to support the different Game Studios at BFG.  You'll be responsible for supporting A/B test design and analysis, building machine learning models, and helping to support our day-to-day operations by building scalable data science solutions.  Successful candidates for this role have strong SQL and statistics skills, are passionate about games, and are clear communicators.
What You'll Do
Engage with PMs, designers, CRM managers to identify analysis requirementsDevelop a deep understanding of available data to drive ad-hoc analysis and answer questionsPerform statistical analysis, hypothesis testing on experimental data to validate and quantify trends or patterns identified by businessEvaluate performance of new features and contentBuild machine learning models and work with engineering teams to productionalize model outputs.Effectively write, present and communicate research results with recommendations.
What We're Looking For
Bachelor’s degree or equivalent work experience in Statistics or related discipline such as Mathematics, Economics, Computer Science, Engineering, etc.Experience with SQL, R, PythonExperience with manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources including collecting, assembling data, cleansing, formatting, and validating resultsExperience with data mining, machine learning, statistical modeling tools and underlying algorithmsMinimum 1-3 years in a data science function Data visualization and dash-boarding building experience with Tableau, Looker, or similar tool
Benefits And Beyond
Employees constantly rate Big Fish Games highly for its leadership, flexibility, well-being, diversity and inclusion through quarterly surveys.
FLEX-Forward work environment: Customize the when, where, and how you work while delivering goalsHealth & More: Medical, dental, vision, life, disability, Teladoc services, employee assistance program (EAP)Work-Life: Wellness Friday (half-days), paid time off, parental leave, flexible work policy, studio holiday closure (Enjoy the week between Christmas and New Year!)  Wellbeing: Wellness fairs, weekly virtual workout classes, 24/7 access to mental health and wellbeing support, free therapy and counseling sessions for you and your familyWealth Care: 401k matching, flexible spending account (FSA), employee discounts, employee stock purchase programLearn & Grow: LinkedIn Learning subscription, mentorship program, career development, individual development plans, educational assistance on job-related professional development  Community & Fun: Company social events, employee impact groups, company swag, volunteer opportunities
About Big Fish
Building upon our 20-year legacy as a leader in the biggest gaming categories in the world, we are innovating and developing new products within the casual space to add to our extensive portfolio. Big Fish is dedicated to delivering amazing experiences for players to connect, compete and discover play, anywhere and on any device. This means games for broad global audiences in genres that are easy to learn, and difficult to master. Be a part of the team from the start.
Big Fish is part of Pixel United, the free-to-play, mobile-first video games business of Aristocrat Leisure Ltd (ASX: ALL)!
Big Fish Games is an equal opportunity employer. We bring unique talents together to build something special that’s why we welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.
This position can be performed remotely and is currently open to residents of all locations, except in the state of Colorado and New York City.
Location
Montreal (Job Posting), Remote - USA (Job Posting)
Job family
Game Analytics
Contract Type
Regular
Time Type
Full time
Company
Big Fish Games


Senior Data Scientist

Description & Requirements
WHO WE ARE
We're one of the world's largest food and beverage companies and a trusted producer of high-quality, great-tasting, nutritious foods. We daily earn a spot on 97% of American tables, and as guardians of beloved brands and creators of innovative products, we're dedicated To Make Life Delicious for our consumers.
Today, Kraft Heinz is building a new legacy by investing in a robust Digital infrastructure to revolutionize the food industry. We're embracing Agile ways of working and immersing ourselves in Advanced Analytics to connect meaningful insights to our consumer experiences - all while honoring a 150-year heritage and a portfolio of 200 iconic brands. Every day, we gather huge amounts of data into a robust data infrastructure.  Now, we are on a mission to transform that data into Digital products that inform our decisions and drive tangible impact.  Our tech stack includes Python, Azure, Snowflake and ReactJS.
WHAT YOU’LL DO
As a Senior Data Scientist you will be a core member of one of our nimble, cross-functional teams – disrupting from inside of a global powerhouse.  You will help build our next generation of advanced analytics products using AI, Data Science, and Machine Learning.  Examples of problems you will solve include helping R&D determine the next generation of household products, revolutionizing consumer engagement with personally relevant content, and reinventing our supply chain to eliminate food waste. Furthermore, you will:
Deliver systematic approaches and integrating work into products and tools with a trailblazing team of data engineers, analysts, developers, and sometimes chefs.Create repeatable, interpretable, dynamic, scalable models as the heart of new statistical products.Engineer new features by using your business acumen to improve analytical models.Collaborate to refine best practices and deploy best-in-class solutions.Evangelize the value of data-driven decision-making
WHO YOU ARE
You have a Bachelor’s in Data Science, Computer Science, Engineering, or Statistics with 5+ years of experience.You have expertise in Python and/or R and are eager to learn other languages.You are proficient in machine learning to deliver clustering, time series, classification, regression, anomaly detection, simulation, and optimization queries.You have an aptitude in Big Data technologies like Hadoop, Spark, or distributed databases like Redshift and Snowflake.
WHY US?
We're accelerating our ambition to become a best-in-class Digital leader by making data-driven investments that drive smarter business decisions. As the guardians of 200 beloved brands and the creators of innovative products, we're dedicated To Sustainably Grow by Delighting More Consumers Globally. What we build today helps bring joy to customers, consumers, and communities around the world tomorrow.  Here at Kraft Heinz, we're not afraid to challenge the status quo. We are bold. We embrace new ideas. We value diverse perspectives. And we dare to do better every single day. We reward courage in the face of uncertainty. And every day, we are transforming our industry.  We are creating the future of food, and we invite you to join us.


Data Scientist

Grammarly F3435Aa7 6098 412F Bf7B 0E2Eab454C9B

Grammarly team members in this role must be based in the United States or Canada.
The opportunity
Grammarly empowers people to thrive and connect, whenever and wherever they communicate. Every day, over 30 million people and 50,000 teams around the world rely on our AI-powered communication assistance technology. All of this begins with our team collaborating in a values-driven and learning-oriented environment.
To achieve our ambitious goals, we’re looking for Data Scientists at many levels of experience— senior, staff, and tech lead—to work with product partners to understand our users, contribute to product and growth strategy, and develop fundamental measurement frameworks.
Data Scientists at Grammarly are trusted subject matter experts who uncover new insights to inform product and growth strategy. Our Data Scientists work with teams that build our core product features, demonstrate the value of our product to users, and empower people to use Grammarly everywhere they write. We have large datasets and are looking for folks with deep technical and analytical skills to break down complex business problems to provide solutions with high visibility and impact for the company.
Grammarly’s Data Scientists have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product and growth roadmap. The complexity of the technical questions we face is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog.
Your impact
As a Data Scientist, you will:

Take on a broad scope of work and an evolving role in a rapidly growing company.
Conduct deep-dive analyses into user behavior.
Quantitatively study large user segments.
Develop user segment targeting strategy.
Drive direction on the Product and Growth teams.
Identify new product and growth opportunities.
Opportunity-size new strategic levers.
Provide data-driven solutions to complex product and growth questions.
Define advanced metrics.
Advise on experimentation strategy.
Identify strategic data needs.

We’re looking for someone who

Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
Is able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub where the team is based.
Holds a PhD or master’s degree in a quantitative field.
Has 3+ years of relevant work experience.
Has experience as an influential and effective thought partner to product teams.
Demonstrates strong communication, proactiveness, creativity, and prioritization skills.
Has strong analytical and critical thinking skills as well as a strong bias toward actionable insights.
Has experience helping others understand numbers.
Has practical experience in data analysis, statistics, and experimentation.
Is proficient in SQL, Python, R, Scala, or an equivalent language.

Support for you, professionally and personally

Professional growth: We hire people we trustgive team members autonomy to do their best work. We also support professional development with training, coaching, and regular feedback.

A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. We have a highly collaborative culture supported by our EAGER values. We also take time to celebrate our colleagues and accomplishments with global, local, and team-specific events and programs.

Comprehensive benefits: Grammarly offers all team members competitive pay along with a benefits package encompassing superior health care (including mental health benefits). We also offer support to set up a home office, ample and defined time off, gym and recreation stipends, 401(k) matching, and more.

For Colorado-based employment: The base salary range (excluding equity) for this position is $180,000-239,000/year; however, base pay offered may vary considerably depending on job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.

We encourage you to apply
At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer, a participant in the US Federal E-Verify program (US), and abides by the Employment Equity Act (Canada).
Grammarly currently supports the long-term work of team members in the following US states: Arizona, California, Colorado, Florida, Georgia, Illinois, Maine, Massachusetts, Minnesota, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania (Kennett Township, New London Township, Pittsburgh City, Shaler Township), South Carolina, Texas, Utah, Virginia, and Washington, as well as the District of Columbia
Grammarly currently supports the long-term work of team members in the following Canadian provinces: British Columbia, Ontario
Please note that EEOC is optional and specific to US-based candidates
#NA


Data Science Manager

Grammarly team members in this role are required to live within a daily commutable distance to San Francisco. Grammarly may provide relocation assistance.
The opportunity
Every day, tens of millions of people and 50,000 professional teams rely on Grammarly’s AI-enabled communication assistance to help them communicate confidently and achieve their goals. Our team members have the autonomy to take on exciting challenges in pursuit of our mission to improve lives by improving communication. Together, we’re building on more than a decade of steady growth and profitability. We’re defining the communication assistance category for individuals, enterprises, and developers with tailored service offerings: Grammarly Premium, Grammarly Business, Grammarly for Education, and Grammarly for Developers. All of this begins with our team collaborating in an inclusive, values-driven, and learning-oriented environment.
To achieve our ambitious goals, we’re looking for Data Scientist Managers to lead teams and work with product partners by understanding our users, contributing to product and growth strategy, and developing fundamental measurement frameworks. Data Scientists at Grammarly are trusted subject matter experts who uncover new insights to inform product and growth strategy. Our Data Scientists work with teams that build our core product features, demonstrate the value of our product to users, and empower people to use Grammarly everywhere they write. We have large datasets and are looking for folks with deep technical and analytical skills to break down complex business problems to provide solutions with high visibility and impact for the company.
Grammarly’s data scientists have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product and growth roadmap. The complexity of the technical questions we face is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog.
Your impact
As a Data Scientist Manager, you will:

Have a broad scope and an evolving role in a rapidly growing company.
Lead, motivate, and grow a team of talented data scientists to drive business growth and product roadmaps using data.
Be a thought leader to influence the product and business partners.
Identify new Product and Growth opportunities.
Provide data-driven solutions to complex product and growth questions.
Advise on experimentation strategy.
Identify strategic data needs.

We’re looking for someone who

Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
Is able to collaborate in person 4 weeks per quarter, traveling if necessary to the hub where the team is based.
Preferably has 3 years of experience managing data science teams.
Has experience as an influential and effective thought partner to product teams and shows strong communication, proactiveness, creativity, and prioritization skills.
Has strong analytical and critical thinking skills as well as a strong bias toward actionable insights.
Has experience helping others understand numbers.
Has practical experience in data analysis, statistics, and experimentation.
Is proficient with SQL as well as programming in Python, R, Scala, or an equivalent language.
Holds a PhD in a quantitative field or a master’s in a quantitative field with a minimum of 5 years of relevant working experience.

Support for you, professionally and personally

Professional growth: We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We also support professional development and advancement with training, coaching, and regular feedback.

A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture supported by our EAGER (ethical, adaptable, gritty, empathetic, and remarkable) values. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Grammarly Circles, which promote connection among those with shared identities including BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs.

Comprehensive benefits: Grammarly offers all team members competitive pay along with a benefits package encompassing excellent health care (including mental health and fertility benefits) and ample and defined time off. We also offer support to set up a home office, caregiver and pet care stipends, wellness stipends, 401(k) matching (US only), admission discounts, learning and development opportunities, and more.

For San Francisco–based employment: Grammarly takes a market-based approach to compensation, meaning pay may vary depending on your location. Base pay may vary considerably depending on job-related knowledge, skills, and experience. Our compensation packages include equity; a wide range of medical, dental, vision, disability, and life insurance options; retirement benefits; and parental leave. We offer twenty days of paid time off per year (global), eleven days of paid holidays per year (US and Canada), and unlimited sick days (global).

The expected salary range for this position is outlined below by compensation zone and may be modified in the future.
San Francisco:
Zone 1: $281,000 – $336,000/year (USD)
We encourage you to apply
At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Grammarly will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. Grammarly is an equal opportunity employer and participant in the US Federal E-Verify program.


Director Clinical Data Science

The Opportunity
Bring your analytics mastery and skills to the cutting-edge digital healthcare arena! In your role as Director, Clinical Data Science, you will be a key leader of the research and data science function within our Value Based Care Analytics team. You will develop, refine, and apply novel methodologies to understand product performance based on cost and clinical outcomes and translate that information to support the successful delivery of value-based payment arrangements. You will organize and advise the team in conducting program evaluations for internal/external audiences, performing deep-dive analytics, and informing the organization on performance within our risk-based arrangements.
For ultimate success in this role you’ll have a strong voice and perspective on how to scale our analytic capabilities, produce and deliver meaningful insights to our stakeholders, and lead a motivated team. We’re looking for a content matter expert in healthcare data and causal inference, a bridge-builder who can speak across a variety of functions throughout the organization, and someone who can both lead and contribute in different circumstances. We’re looking for someone who can listen to different perspectives and frameworks and turn varying inputs into actionable analytics. Your core competencies include leadership, creative problem solving, project management, curiosity and the drive to learn new methods, and the ability to execute.
Responsibilities
Lead and partner with a diverse team of data scientists, analysts, and actuaries in developing new insights to drive successful value-based payment arrangements through program evaluation, exploratory analyses, and evaluation of clinical and cost performance metricsServe as subject matter expert and thought leader on causal inference and cost savings/ROI analyses that support value-based payment modelsOrganize a team to advance multiple analyses simultaneously and learn together as new insights come to lightRepresent the Value Based Care Analytics team on cross functional efforts supporting the development of risk capabilities and data infrastructure improvementsAnalyze medical claims, pharmacy claims, proprietary Teladoc Health data, and other sources to understand which programs work for which clients – and whyIdentify Teladoc Health members at risk for poor health outcomes or increased medical spending to drive improvement actionsCreate cost and utilization reporting and analytics, including analytics to provide early warning insightsEngage with stakeholders to identify key analytic questions or develop hypothesis related to outcomes driversLead a diverse team of data scientists through development and execution of our analytic pipeline, delivering key results to support success in Value Based Care
Candidate Profile
Demonstrated success in mentoring and guiding other analysts and shaping team dynamics through sharing strong perspective on scalability, sustainability, and culture10+ years’ experience as a healthcare analyst or data scientist, with strong quantitative and report development capabilities, or 7+ years’ experience with a Master’s degree or higherExperience in the healthcare industry working with managed care organizations, pharmaceutical benefit management organizations, government systems, hospital systems and integrated care systemsData domain expertise in causal inference, medical and pharmacy claims data, and cost and utilization metricsStrong data analysis skills, including using R, SQL, Python and/or other statistical software packagesA knack for conveying our data’s stories in reports that spur data-driven decision-makingThe ability to manage multiple projects, exercising smart triage and good business judgmentStrong respect for confidentialityExcellent verbal and written communication skillsThe people skills to maintain productive goal-achieving relationships with colleagues and external collaborators (even if numbers are your first love)A Bachelor’s degree in Health Services Research, Epidemiology, Business Analytics, or Data ScienceExperience with data engineering/ETL
Experience developing and working in collaborative production coding environments to deliver analytic products or modelsExperience with standard health care groupersTechnical interest and experience with data visualizationMaster’s degree in Health Services Research, Epidemiology, Business Analytics, or Data Science
The base salary range for this position is $160,000-185,000. In addition to a base salary, this position is eligible for performance bonus, RSU’s, and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2022. Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable for all full-time positions.
Why Join Teladoc Health?
A New Category in Healthcare:  Teladoc Health is transforming the healthcare experience and empowering people everywhere to live healthier lives.  Our Work Truly Matters: Recognized as the world leader in whole-person virtual care, Teladoc Health uses proprietary health signals and personalized interactions to drive better health outcomes across the full continuum of care, at every stage in a person’s health journey.  Make an Impact: In more than 175 countries and ranked Best in KLAS for Virtual Care Platforms in 2020, Teladoc Health leverages more than a decade of expertise and data-driven insights to meet the growing virtual care needs of consumers and healthcare professionals.  Focus on PEOPLE:  Teladoc Health has been recognized as a top employer by numerous media and professional organizations. Talented, passionate individuals make the difference, in this fast-moving, collaborative, and inspiring environment. Diversity and Inclusion:  At Teladoc Health we believe that personal and professional diversity is the key to innovation. We hire based solely on your strengths and qualifications, and the way in which those strengths can directly contribute to your success in your new position.  Growth and Innovation:  We’ve already made healthcare yet remain on the threshold of very big things. Come grow with us and support our mission to make a tangible difference in the lives of our Members.
As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status or pregnancy.


Data Scientist Ii

Teladoc Health, Inc. seeks a Data Scientist II (Multiple Openings) at its facility located at 150 W Evelyn Avenue, Suite 150, Mountain View, CA 94041. Build automation tools, data pipelines that helps to deliver quality reports on time for a multitude of requests. Influence upstream system/design, definitions and develop scalable solutions to meet expectations from internal/external stakeholders. Run ad-hoc data-extracts for requests from diverse partners and automate those needs over time. Develop visualizations to tell stories effectively. Build insightful dashboards, self-service tools and reports to slice/dice data for helping with partners in making strategic decisions for all functional areas such as member experience, product build/performance, clinical researches, business operations, growth/retention. Engage with partners, internal and external stakeholders to ensure timely delivery of programs in a fast-paced environment. Engage with Product, Business, Engineering, and Marketing teams to understand the needs, capture requirements and be the liaison between analytics and business. Improve data quality and analytic rigor. Monitor, and triage production runs for ensuring data security and veracity. Proactively identify performance / data quality problems and remedy them. Continuously refine data quality with testing, tooling, and performance evaluation. Remote work may be permitted.
REQS: This position requires a Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering or a related field, plus 3 years of experience programming, database management, stakeholder management and automation. In the alternative the business will accept a Master’s degree or foreign equivalent in Computer Science, Computer Engineering or a related field, plus 1 year of experience programming, database management, stakeholder management and automation. Per 20 CFR 656.17(h)(4), any suitable combination of education, training, or experience is acceptable. Additionally, the applicant must have professional experience with: (1) SQL and Python or R with Data Science libraries; (2) Designing, developing, deploying, and maintaining production grade data processing and deep learning code, pipelines, and systems; (3) Jupyter notebooks to perform analytics over the data and set up automated jobs; (4) Developing dashboards and reports to share compelling storytelling through visualizations using popular BI tools; (5) Build reliable end-to-end processes and solutions with high quality data and deliver within defined timelines; (6) Data governance with a focus on securing member’s sensitive data; and (7) Agile and Scrum development methodologies. Apply below.
RATE OF PAY: $130,416.00 -$145,000.00 per year
Why Join Teladoc Health?
A New Category in Healthcare:  Teladoc Health is transforming the healthcare experience and empowering people everywhere to live healthier lives.  Our Work Truly Matters: Recognized as the world leader in whole-person virtual care, Teladoc Health uses proprietary health signals and personalized interactions to drive better health outcomes across the full continuum of care, at every stage in a person’s health journey.  Make an Impact: In more than 175 countries and ranked Best in KLAS for Virtual Care Platforms in 2020, Teladoc Health leverages more than a decade of expertise and data-driven insights to meet the growing virtual care needs of consumers and healthcare professionals.  Focus on PEOPLE:  Teladoc Health has been recognized as a top employer by numerous media and professional organizations. Talented, passionate individuals make the difference, in this fast-moving, collaborative, and inspiring environment. Diversity and Inclusion:  At Teladoc Health we believe that personal and professional diversity is the key to innovation. We hire based solely on your strengths and qualifications, and the way in which those strengths can directly contribute to your success in your new position.  Growth and Innovation:  We’ve already made healthcare yet remain on the threshold of very big things. Come grow with us and support our mission to make a tangible difference in the lives of our Members.
As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status or pregnancy.


Senior Data Scientist Ml Engineer

Looking to do work that matters?
We get it – it’s why most people come to Cleo. Together we’re fighting for the world’s financial health, building an AI that helps our users make the best money decisions from day one. We’ve helped 4 million people so far with personalised insights and a voice you don’t expect in FinTech. But it’s time to do more.
As we enter the next phase, we’re looking for more improvisers, data geeks and grown ups who want to own their work and create meaningful change.
The team
You’ll join the existing data science function here at Cleo; a hotshot team of seven dedicated data experts with significant industry experience that is at the heart of everything we do at Cleo. You’ll build and deploy in-production models that developers will feed directly into the product.
This position is essential in the expansion of both product and business. We are highly data driven, whether that be understanding natural language, deriving insights from financial data, or determining which financial product is best suited to a user. We have interesting problems to solve on an ever-increasing scale
We are looking for Senior Data Scientists and ML Engineers that can deliver data products that solve both customer and commercial problems. Additionally, you will building out a great ML Platform to enable us to deliver new features and improvements as quickly as possible whilst keeping quality high.
What you’ll be doing

Lead the building of an extraordinary AI assistant to help users understand and manage their money
Actively building and productionising classifiers - no dependencies on engineering teams
Building upon our ML Platform to enable us to deploy, monitor and iterate seamlessly
A wide range of ML tasks: NLP, classification, recommender systems
Conducting regular A/B tests across the journey of a Cleo user
Working closely with engineers to make sure we collect the right data to produce relevant business insights

About you

At least 5 years of experience in data science or related roles
Ability to write production quality code in Python
Experience deploying machine learning / deep learning algorithms into production
Experience with the MLOps process and what great MLOps looks like
Good grasp of architecture and how best to integrate machine learning into backend services
Experience conducting large scale A/B experiments
Experience working with AWS technologies such as EC2, S3, Sagemaker
Experience with containers and container orchestration: Kubernetes, Docker, and/or Mesos, including lifecycle management of containers
A strong ability to communicate findings to non-technical stakeholders in a concise and engaging manner

What do you get for all your hard work?
Cleo is an excellent place to work:

An above market compensation package (Base + Equity). We're prepared to pay for the very best
Work at one of the fastest growing tech startups anywhere in the world who are backed by top VC firm, Balderton
The team is exceptional. You'll get to work with brilliantly forward-thinking and dedicated individuals every day
Our mission is standout. We want to radically improve everyone’s relationship with money. We're not maximising the time consumers spend in a feed, getting fast food delivered, or building an incrementally better bank. We're changing an industry in a visceral way, which you get to see every day in our customer feedback.

We are committed to making Cleo a more diverse and inclusive workplace. We are making continuous changes in order to make sure that all voices, especially those of minorities are heard, supported and celebrated. Our work doesn't stop at hiring, and we are providing every employee with training, support and development throughout their Cleo career, alongside training specific to inclusivity.
#LI-AS1


Data Scientist

Looking to do work that matters?
We get it – it’s why most people come to Cleo. Together we’re fighting for the world’s financial health, building an AI that helps our users make the best money decisions from day one. We’ve helped 4 million people so far with personalised insights and a voice you don’t expect in FinTech. But it’s time to do more.
As we enter the next phase, we’re looking for more improvisers, data geeks and grown ups who want to own their work and create meaningful change.
The team
You’ll join the existing data science function here at Cleo; a thoughtful and collaborative of six dedicated data scientists with significant industry experience that is at the heart of everything we do at Cleo. You’ll build and deploy in-production models that developers will feed directly into the product.
This position is essential in the expansion of both product and business. We are highly data driven, whether that be understanding natural language, deriving insights from financial data, or determining which financial product is best suited to a user. We have interesting problems to solve on an ever-increasing scaleHere's a great blog post on how data science works at Cleo!
What you’ll be doing

Improving our current machine learning models in credit risk, income classification and fraud
Actively building and productionising classifiers - no dependencies on engineering teams
A wide range of ML tasks: classification, recommender systems, NLP
Conducting regular A/B tests across the journey of a Cleo user
Building models of user-segmentation, marketing attribution, customer lifetime value etc.
Working closely with engineers to make sure we collect the right data to produce relevant business insights

About you

At least 2 years of experience in data science or related roles
Ability to write production quality code in Python and SQL
Experience deploying machine learning / deep learning algorithms into production
Experience conducting large scale A/B experiments
Experience working with AWS technologies such as EC2, S3, Sagemaker
A strong ability to communicate findings to non-technical stakeholders in a concise and engaging manner

Nice to have

Experience with containers and container orchestration: Kubernetes, Docker, and/or Mesos, including lifecycle management of containers
Experience with NLP methods a plus

What do you get for all your hard work?

Salary banding can be seen here. You'll also have equity options. You can view our progression framework and salary bandings here: https://cleo-ai.progressionapp.com/ - This role would be from level DS2 to DS3 depending on experience - we can pay between £45,000-£79,000 p.a

Work at one of the fastest growing tech startups, backed by top VC firms, Balderton & EQT Ventures

Cleo is a culture of stepping up. We want, and expect you to grow and develop. That means trying new things, leading others, challenging the status quo and owning your impact. You’ll have our support in everything you do. But more importantly, you’ll have our trust.

We treat you as humans first, employees second. Because we can’t fight for the world’s financial health, if we’re not healthy ourselves. This means the usual perks but it also means flexibility.

Other benefits include;

25 days Annual leave a year + public holidays
4.30pm finish every Friday
Regular lunch-and-learns as part of a general learning culture
Online courses and internal training to level up your skills like from coding, to SQL, to management training
Choose your own gear, ask for the tools you need, and we’ll seek them out for you
Cleo socials and activities
Online mental health support via Spill
Access to Pushfar - online platform for external mentorship

A clear career progression path through Progression https://cleo-ai.progressionapp.com/

And many more!

We are committed to making Cleo a more diverse and inclusive workplace. We are making continuous changes in order to make sure that all voices, especially those of minorities are heard, supported and celebrated. Our work doesn't stop at hiring, and we are providing every employee with training, support and development throughout their Cleo career, alongside training specific to inclusivity.#LI-AS1


Data Science Insights Manager North America

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

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

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

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

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

Data Science Insights Manager - United States or Canada

Duration: Permanent
Location: United States or Canada
Start: ASAP

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

Who You Are:

We are looking for a Data Science Insights Manager to lead data insights and experimentation across Search. Using your knowledge of statistics, experiment design, and analysis while considering the broader business context, you will lead our data scientists and analysts to uncover product opportunities with data, define metrics, and measure experiments. This position will have an impact on the search and browse paths for millions of customers.
You will have access to a growing, rich dataset of the most trusted, esteemed, and diverse visual content in the world with over 250 million award-winning images and videos encompassing the latest global news coverage from red carpet events to football stadiums to conflict zones; outstanding conceptual creative images; and the world’s largest commercial archive. With a global presence, our search interaction data comes from over 50 million outstanding visitors a quarter from almost every country in the world.

Your Next Challenge:

Lead, guide, and mentor other data scientists and data analysts in experiment design, test analysis, customer insights, and building new metrics. You will provide individual contributions, as well as mentor others.
Develop and helm our insights and experimentation short-term and long-term roadmap, aligned to product needs and driving acceleration of our experimentation
Partner with product managers, data engineers, machine learning engineers, search engineers, designers, and user researchers
Drive evolution of data critical to our team, including define data requirements to support analysis and experimentation needs
Partner with other data teams at Getty Images, including marketing, content planning, and business intelligence.
Support team members in their professional growth.

What You'll Need:

Validated expertise leading data insights and experimentation for customer-facing products
At least 4 years of hands-on technical experience
A minimum of 1 year of experience managing a team
A Ph.D. or MS in Computer Science, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any other equivalent quantitative field is preferred
Proven expertise as a technical lead providing mentorship and guidance to team members
A strong understanding of experiment methods and statistical techniques, including the real-world advantages and drawbacks. Preferred: expertise in Bayesian statistics and time-series
Ability to handle ambiguity, priorities, and competing objectives. Experience solving highly technical problems
Hands-on experience with accessing data, Python, machine learning libraries (ex: scikit-learn, numpy, pandas, scipy, SQL, spark, etc.)
Ability to write clean, understandable code that follows leading industry standards and practices and is well-documented, and to build easily reproducible analyses
Outstanding communication skills at all levels, including sophisticated technical solutions to non-experts
Open listener, ability to be open to many diverse voices and perspectives
You are clear, credible, and forward-thinking!

Mental and Physical Demands:

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

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

Benefits at Getty Images

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

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

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

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

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

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

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

Leadership Principles

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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


Machine Learning Research Scientist

From the latest in Edge AI platforms to cloud-ready solutions, Paravision powers computer vision-centric solutions that deliver breakthrough capabilities in the most challenging conditions. We’re the top-ranked face recognition provider from the U.S., UK, and EU, delivering world-class capability with an ethical and customer-centric approach. In alignment with our company values, we hire people who are collaborative with a growth mindset, intellectually strong and curious, and energy accretive.

Our business is growing rapidly, and we seek a highly motivated Machine Learning, Research Scientist to join our world-class distributed technical team. This role will report directly to our Director of Machine Learning, and be an accelerant for the rapid growth Paravision is experiencing.

What You'll Do:

Design and code highly scalable, machine learning applications processing large volumes of image and video data.
Develop and implement state of the art algorithms for face detection, face recognition, face clustering and liveness.
Measure progress against industry standard benchmarks such as WiderFace, COCO, NIST-FRVT.
Collaborate with others in crafting and implementing your technical vision.
Follow agile processes with a focus on delivering production-ready testable code in small iterations.
Participate in the entire development lifecycle, from concept to release.
Participate in all phases of quality assurance and defect resolution.

What You Bring:

PhD in Computer Science or related field with research in machine learning.
3+ years of experience building machine learning or AI systems.
OR MSc in Computer Science or related field and 10 years software engineering experience in a related advanced technology environment.
Expert skills with machine learning software packages (e.g., PyTorch, MXNet, Caffe, scikit-learn, TensorFlow).
Deep understanding of mathematical foundations of Machine Learning algorithms.
Experience working with large datasets.

What You Have:

Excellent problem-solving, analytical and interpersonal skills.
Ability to work autonomously and willingness to roll up one’s sleeves to get the job done.
Polished communication style, both oral and written, and a comfort interfacing with various levels across the organization, with both technical and non-technical audiences.
Ability to manage multiple, competing priorities simultaneously.
A true passion for technology and thoughtful delivery of next-generation capabilities.

Bonus to Have:

Solid knowledge in state-of-art deep learning models and optimization methods.
Experience working with different types of Generative Adversarial Networks  (Style, Cycle, etc.).
Experience working with one of the major cloud services: AWS, GCP or Azure.
Prior computer vision or image processing experience.
Ability to independently conduct literature survey, find cutting edge heuristics or algorithms, and implement them in an engineering environment.
Experience with building Operations Research/Machine Learning algorithms and productionizing them at scale in a distributed computation environment.
Publication in peer-reviewed journals or conferences is a plus.

What You'll Get:

Competitive salary with meaningful equity compensation and excellent benefits.
The opportunity to work with a group of highly talented and equally nice people while making a huge impact.
Work-life flexibility - we value your contributions above all.
A professional environment with a focus on teamwork.

Paravision is focused on building a diverse and inclusive workforce, and we believe the more inclusive we are, the better our company will be. We are proud to be an Equal Opportunity Employer and consider applicants for employment without regard to race, religion, gender identity or expression, sexual orientation, national origin, age, or marital, veteran, or disability status, or other applicable legally protected characteristics.

We consider for employment all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.

If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply. If you require assistance or accommodation during the recruitment process due to a disability, please let us know.


Lead Data Scientist

InVision is the leading product design and development platform for teams building world-class digital products. It’s every company’s imperative to continuously innovate and improve on their customer experience: InVision’s platform, education, and community enable creative collaboration across teams and geographies for improved speed-to-market and powerful business results.

More than 7 million people across global enterprises and small teams come to us when they are looking for digital transformation. That process doesn’t start and end in any design tool: it encompasses ideation, conversation, visual collaboration and so much more. Teams use InVision to create, prototype and test new ideas; develop repeatable and streamlined processes in design, product and engineering; and improve workflows to move more efficiently from inspiration to production and drive innovation. The InVision platform allows teams to collaborate throughout the process with every stakeholder, giving individuals the visibility and know-how they require. Customers include 100 percent of the Fortune 100 and organizations including American Express, Adidas, Boeing, Ford Motor, Netflix, HBO, Ikea, Slack and Virgin Atlantic.

InVision is a fully distributed company with people in more than 20 countries. Investors include Accel, ICONIQ, FirstMark, Tiger Global, Battery Ventures, and Spark Capital. Visit us at InVisionApp.com and InVisionApp.com/blog.

Our team is in search of a Lead Data Scientist to help us change the way digital products are designed.
About the Team:
You will be joining our Data Science team and have the chance to make a large impact at InVision. Our Data Science team is part of a broader, cross-functional Insights team, combining qualitative and quantitative research to answer questions holistically. As a member of this team you’ll collaborate closely with user researchers to deliver a mixed-methods portfolio of insights to better understand our customers and shape our product strategy.
You will support our very data-driven Product team to identify key metrics, conduct rigorous analyses, and deliver novel insights to empower decision-making. You will be a trusted partner in the team tackling the toughest and most impactful analytical problems.
What you’ll do:

Act as a critical thought partner & collaborate closely with senior leadership across Product, Engineering, and Design
Collaborate in mixed-methods research to understand user engagement
Support company OKRs and roadmap by identifying opportunities & quantifying impact of product launches through  in-depth quantitative analysis
Define and monitor key metrics; create the tools we need quantify the success of the product
Guide product iteration with experiments

What you’ll bring:

5+ years of hands-on data experience
A passion for and track record of leveraging data for business impact
Excellent communication skills with the ability to distill complex problems into meaningful and interpretable insights
Expert fluency in SQL-based data manipulation
Fluency in scripting languages such as Python/R
Experience with basic statistical models and experimentation techniques
BA/BS or Master’s in statistics or other quantitative field preferred

Nice to have:

Previous experience with a SaaS or design-forward software company
Experience with predictive models and more advanced statistical techniques
Experience with data modelling, design of ETL flows, and other components of analytics engineering

About InVision:
InVision offers an incredibly unique work environment. The company employs a diverse team all over the world. Each InVision team member is given the freedom and tools to do their best work from wherever they choose.
The benefits we offer in the United States and Canada include competitive health plans and retirement plans. Some InVision-wide benefits offered to all employees across the globe include a flexible vacation policy, monthly coffee shop stipends, annual allowances for books related to your profession, and home office setup & wellness reimbursements. InVision is an international employer so some benefit offerings will vary from country to country.
InVision is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.


Senior Data Scientist

Panasonic Smart Mobility Office – Senior Data Scientist
Does the idea of working at the intersection of next gen software innovation, advanced data analytics, and consumer-experience design excite you?  Do you thrive in a team that focuses on solving complex problems in a fast-paced environment?  Do you want to build new products focused on democratizing connected vehicle data to improve roadway safety and help save lives?  Then apply now and come be a part of the amazing team creating an intelligent digital mesh for the future of the mobility ecosystem!
CIRRUS/V2X: https://na.panasonic.com/us/industries/intelligent-transportation
 Click here to learn more about how Panasonic is creating a better life, a better world.
Watch this video to see how our employees are shaping the technologies that move us.What You'll Get to Do:
Lead the development and execution of new and highly complex algorithms, machine learning, and statistical predictive models to evaluate potential future outcomes.Perform explanatory data analysis, generate and test working hypotheses, prepare and analyze historical data to identify patternsWork with senior team members and business partners, particularly in engineering and product management, to develop innovative analysis solutions that address top outcomes, including feature development/enhancement, system health monitoring, testing, and troubleshooting.Research and assess value of potential new data sources under consideration for the Cirrus/V2X data environment and make recommendations to the team.
Education & Experience:
Experience with statistical analysis methods, such as classification, collaborative filtering, association rules, topic modeling, time-series analysis, regression, statistical inference, and validation methods.Experience with data and machine learning services using Amazon Web Services (AWS) (strongly preferred), Azure, and / or Google Cloud.Expert in programming tools/languages commonly used for data manipulation, especially SQL and Python.Advanced knowledge and/or experience with data visualization and analysis tools, e.g. Tableau, Spotfire, etc.Preferred experience working in an agile product environmentPreferred experience mentoring junior team members in data and analysis techniques.
What We Offer:
Competitive compensation “The pay for this position is expected to start at $140,000 per year or higher, based on qualifications. This position will be eligible for an annual target bonus of 20% based on individual and company performanceComprehensive benefitsPet InsurancePaid Parental Care LeaveEmployee Referral ProgramEducational AssistanceFlexible Work ProgramVolunteer time OffCasual Dress CodeTotal Well Being Program
Panasonic is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity, sex, sexual orientation, national origin, disability status, protected veteran status, and any other characteristic protected by law or company policy. All qualified individuals are required to perform the essential functions of the job with or without reasonable accommodation. Pre-employment drug testing is required for safety sensitive positions or as may otherwise be required by contract or law. Due to the high volume of responses, we will only be able to respond to candidates of interest. All candidates must have valid authorization to work in the U.S. Thank you for your interest in Panasonic Corporation of North America.
#LI-Remote
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Data Scientist New Grad

Position Overview:
Are you passionate about advanced analytics and data science? Do you describe yourself as an innovative problem solver? Looking for an opportunity that will directly impact the customer experience at Gopuff? Come join the Gopuff Data Science team and #ChangeTheGame.
Gopuff is a high-growth startup that is revolutionizing hyper-local e-commerce. We warehouse and deliver thousands of products to your door super fast. We're currently operating in over 700+ cities within the US and expanding quickly.
As a Data Scientist at Gopuff, you’ll build and deploy machine learning models for all sorts of highly important use cases - including recommendation and personalization, predictive LTV, pricing optimization,  predictive inventory planning, operations optimization, etc. You will also drive changes that increase efficiencies and improve the customer experience. You’ll have the opportunity to make a huge impact on the future success of goPuff.
We’re looking for a doer, problem solver, and thought-leader.
Key Responsibilities:
Collaborate with our business and engineering partners across the organization to deliver data science solutions for practical business problems. Work with the project leads and product managers to identify and scope new opportunities for data science projects and implement advanced analytics solutions that become essential to our daily business operations
Build Recommender Systems and personalization solutions to greatly enhance shopping experience
Build models that support real-time events and internal stakeholder decisions across the business - from Marketing and Merchandising to Operations and Supply Chain
Productionize and deploy models using cloud based tech stacks including Snowflake, Databricks, Azure Ecosystems and etc.
Drive adoption of data products and data science solutions into the planning process for investment decisions with finance and the leadership teams
Identify gaps in existing data, create data product specs, and work with Engineering teams to implement enhanced data tracking
Partner with Analytics team members and other functions to share insights and best practices, ensuring consistency of data-driven decision-making throughout the org
Required Qualifications:
Currently pursuing a Masters or Ph.D. in statistics, mathematics, analytics, computer science, engineering or another quantitative field from an accredited university or college
Graduating between December 2022 - June 2023
Preferred Qualifications:
Hands-on experience applying descriptive statistics, machine learning, predictive modeling to solve challenging problems
Programming skills in Python
Data querying skills in SQL
Excellent communication and presentation skills
Ability to explain technical concepts in simple terms to business stakeholders
Move fast, be a team player, always be learning and give back


Product Data Scientist Senior And Staff Levels

At Mozilla, we want to make products that keep the Internet open and secure for all. We collect terabytes of data a day from millions of users to guide our decision-making processes. We could use your help.
As a Product Data Scientist, you will work closely with the product and marketing organization. You are an inquisitive thinker who is keen to practice full-stack data science, with experience ranging from designing and engineering data extraction processes to finding patterns and anomalies in data through analytical techniques.  You have strong interest in honing your technical skills further on real-world data.  You believe that data science can lead to insights that can guide the future of Mozilla. You will apply your expertise in quantitative analysis, statistical modeling, and data visualization to see beyond the numbers and understand how our worldwide community experiences our products.
We have multiple openings for the following:
The Role
As a Data Scientist at Mozilla:

You help design and analyze experiments to understand ecosystems, user behaviors, and long-term trends
You build key data sets to empower operational and exploratory analysis
You advocate for standard methodologies across the organization
You own the definition, evaluation and reporting of key product metrics
You communicate narratives with data to many audiences, ranging from product managers to technical leads
You sit at the intersection between product, marketing, engineering, and leadership to inform, influence, and help execute our product strategy

Your Professional Profile

You lead with empathy. You value teamwork and teammates. You are invested in knowledge sharing and learning from others. You contribute positively and meaningfully to cultivate an inclusive and equitable team culture.
Ideally, you have prior experience with Internet data or any large, high-dimensional data set.  Experience comes in all forms and personal projects count.  We’ll be especially excited if you have worked end-to-end on a data-intensive project on a level that you’d see in a graduate degree program in a quantitative or analytical discipline.
You have practice with extracting data from a variety of sources using SQL or SQL-like tools as well as have performed statistical modeling using Python or R.  You also desire to gain further technical experience on the job.
You have experience concisely presenting results (e.g. through report-writing or presentations) and are comfortable explaining technical concepts to non-experts.
You have a keen interest in telling stories with data visualizations and building impactful, insight-driven narratives.
You consider contributing to a collaborative and open team culture an important responsibility.

About Mozilla
Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.
Commitment to diversity, equity, inclusion, and belonging
Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission.  We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities and expressions.
We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccomodation@mozilla.com to request accommodation.
We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws.  Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.
Group: C
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Inference Data Scientist Staff Level

Now more than ever, the Internet is a utility that facilitates modern life. At Mozilla, we take this to heart, striving to build products that keep the Internet open, accessible, and secure for everyone. We collect terabytes of data every day from millions of users to guide our decision-making processes. We need your help to enable the future of Mozilla in a way that makes us proud!
As a Data Scientist within the Data Org, you will work as part of a cross-functional team that is responsible for understanding and empowering the future of Mozilla.
The Role
The Data Science team sits at the intersection of finance, business, operations, product, engineering, and leadership. We collaborate closely with these partners to provide meaningful insights.
As a Data Scientist at Mozilla you will:

Apply a variety of statistical methods including causal inference to understand the intricate ecosystem of our users, products, partners, revenue
Build key data sets to empower operational and exploratory analysis
Define, evaluate and report on key business metrics
Generate data-informed insights and communicate these data stories to colleagues to influence decision making across Mozilla
Contribute to the team through mentorship, technical methods, improvements in how we work

Your Professional Profile

You lead with empathy. You value teamwork and teammates. You are invested in knowledge sharing and learning from others. You contribute positively and meaningfully to cultivate an inclusive and equitable team culture.
You have a background in quantitative analysis knowing how to analyze, visualize, and interpret data and have 2+ years of experience applying these skills in an industry setting.
You have experience in SQL or SQL-like environments, as well as scripting languages such as Python or R and desire to gain further technical experience on the job.
You have owned complex projects from inception to completion and your work has  influenced entire organizations. You’ve contributed to and executed against data science roadmaps in collaboration with others.
You take stakeholder needs into account, bridging methodology and data into meaningful strategy from your analyses. You are a communicator who crafts impactful data narratives that inform company decisions around product, business, and finance.
Experience synthesizing product and revenue data is a plus!

About Mozilla
Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.
Commitment to diversity, equity, inclusion, and belonging
Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission.  We encourage applications from everyone, including members of all equity-seeking communities, such as  (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, and persons of all sexual orientations and gender identities and expressions.
We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccomodation@mozilla.com to request accommodation.
We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws.  Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.
Group: C
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Vp Data Analytics

Company Description:
Quartet is a platform that makes it easier for people to get the best mental health care for them. Our technology and services reach people who need care, connect them to the right care, track the quality of their care, and support their care journeys. Backed by $160.5MM in venture funding from top investors like Oak HC/FT, GV (formerly Google Ventures), F-Prime Capital Partners, Polaris Partners, Deerfield Management, Centene Corporation, and Echo Health Ventures, Quartet partners with health insurance plans and health systems in 32 states across the country to help people get the care they need.
We are deeply committed to growing a diverse team and an equitable and inclusive culture where all Quartetians are empowered to be themselves and do their best work. We know this is vital in realizing our mission to improve the lives of people with mental health conditions. As part of our commitment to building a diverse team, we have signed the Parity Pledge and actively encourage applicants of all backgrounds to apply.
About the team & Opportunity:
Quartet is a data-driven organization and our Data & Analytics team is key to our success. As VP, Data & Analytics, you will report to our Chief Technology Officer and work closely with the wider leadership team to create a dynamic team that, in collaboration with your peers, can successfully execute on our ambitious mission to improve access to high-quality, value-based mental health care. You will provide strong leadership to the Data & Analytics teams.
Accountabilities:

Provide leadership, passion, ownership and motivation across a team of data scientists, data analysts, and data operations specialists.
Hire, develop, and retain exceptionally talented people with diverse data science skills, giving them the autonomy and guidance to best deliver our business outcomes.
Prioritize a high-value, strategic innovation agenda for the data teams and ensure that people and teams are organized against the most important goals of the company.
Establish relationships and effective communications with other executives to drive outcomes and ensure scientific method and research drive the product roadmap.
Regular meetings with clients to represent the voice of data and analytics, from evaluations and ROI to algorithm efficacy and data insights.
Embed patient and customer understanding and a focus on outcomes into the broader technology team by supporting investments in our organizational development and cross-cutting initiatives.

Minimum Qualifications:

Prior experience managing a team of direct reports within the Data Science, Engineering, Analytics space, etc.
Significant Experience building, motivating and retaining a high performing, flexible and collaborative data and analytics function.
Prior experience in a role that involved regular engagement with external customers or clients
A proven hands-on technical background in data science with demonstrated strategic impact at an executive level and the scale of industry.
While we are open and encouraging of people picking up new technologies, a familiarity with our technical stack is a plus. That includes (but is not limited to) the following:

AWS, Linux, Redshift, Python, R, SQL, Docker, TensorFlow, Keras, Numpy, Scipy, Pandas, Gensim, Scikit-learn, NLTK, Jupyter

A strong problem solver with experience building technical strategy and understanding technical tradeoffs and risk.
Bachelor's degree in a technical field (i.e. Computer Science, Engineering, etc.) or equivalent training, fellowship, or work experience.

Preferred Qualifications:

Experience working within the health-tech space with a proven record of bringing successful data products to market.
You have an entrepreneurial mindset, drive and skills necessary to build and scale a lean organization.
You display a positive attitude and are adept at getting things done while managing stakeholder expectations across the organization.

Employee Benefits for Quartet include: Unlimited vacation, volunteer opportunities, team events, mental healthcare coverage of 15 free therapy sessions + unlimited copay reimbursements, medical, dental + vision coverage, generous parental and military leave, commuter benefits, 401K, and stock option grants.
Want to know what Quartet life is like? Click here to meet our team.
Quartet actively encourages applicants of all backgrounds to apply and is proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. To perform this job successfully, an individual must be able to perform essential job duties -  reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential job functions. If you require assistance in completing this application, interviewing, or otherwise participating in the employee selection process, please direct your inquiries to talent@quartethealth.com
Please note: Quartet interview requests and job offers only originate from quartethealth.com email addresses (e.g. jsmith@quartethealth.com). Quartet will also never ask for bank information (e.g. account and routing number), social security numbers, passwords, or other sensitive information to be delivered via email. If you receive a scam email or wish to report a security issue involving Quartet, please notify us at: security@quartethealth.com.
Have someone to refer? Email talent@quartethealth.com to submit their details to us.