Manager Data Science Modeling

Who We Are
Okcoin is one of the world’s largest and fastest growing cryptocurrency exchanges. We help millions of people buy and sell bitcoin, and over 20 other crypto assets every day — but our work is a whole lot more than that. We’re building an inclusive future of finance, one that opens new opportunities to learn financial literacy, store value, and build wealth for everyone.
Ready to help the next billion people experience the future of finance with us? Come on board. We have offices in San Francisco, Malta, Hong Kong, Singapore, and Japan, but we believe in you working wherever you work best.
About the Team
The Risk function at OKCoin is responsible for the overall risk and fraud prevention culture at the company. We’re a team of risk-minded problem solvers who advise the business on the company’s regulatory obligations and enterprise risk. We’re also deeply committed to moving the needle on risk standards for the crypto industry, building products in a compliant way, and protecting the company from financial, regulatory and reputational risks. Our team consists of seasoned risk professionals who are based across our global offices.
About the Opportunity
This is a highly-impactful role at one of the fastest-growing global cryptocurrency exchanges headquartered in San Francisco, CA. The Manager, Data Science & Modeling will offer a strategic perspective, deep analytical and modeling capabilities, and a collaborative working style.  The right candidate will have strong intellectual curiosity and passion for achieving business results.
An ability to quickly define the problem, research and leverage state-of-the-art modeling techniques, and provide timely recommendations will be essential. Key skills will include a strong analytical mindset, deep understanding of most popular machine learning algorithms and lead key initiatives with integrity and a passion for investigations, problem solving, and troubleshooting.
What You’ll Be Doing:

Researches and leverages state-of-the-art modeling techniques; lead modeling innovation, development and validation;
Develop Risk policies / strategies / rules to understand and mitigate fraud on the platform while enabling the business to grow;
Understand impact of risk policy on Okcoin’s ecosystem (trade-off between loss/risk mitigation and revenue growth / positive customer experience);
Promote a data-driven culture within the department with value-added data analysis and timely management of information;
Engage in storytelling via data analytics to connect the dots and visualize problems or pain points within the business; and
Establish effective cross-functional relationships with Product, Customer Service, Business Intelligence, Engineering, Marketing, Business Development to build and operationalize robust risk solutions to address emerging business issues.

What We Look For In You:

3-5 years of experience in developing data-based analytical solutions;
Deep understanding of machine learning algorithms including GBM, XGBoost, LGBM, etc. Advanced programming skills of statistical / analytical software (SQL, R, Python,etc.);
Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization;
Experience with risk/data analytics, tools, and concepts, Risk Rule Engines, Risk Modeling, Identity Verification, etc.;
Maintain a high level of competency in statistical and analytical principles, tools and techniques, and support the advancement of the "best-in-class" analytical capabilities to unlock new capabilities and performance.;
Experience in a fast-paced startup environment with a strong level of initiative; and
Ability and willingness to travel as needed.

Nice to Haves:

Crypto/Blockchain experience;
Hands-on experience/knowledge of modeling in machine learning (GBM, XGBoost, Random Forest, etc.); and
Master's degree preferred in statistics, math, computer science, engineering, economics, or related quantitative field.

Highlights of Perks and Benefits

Market competitive total compensation package
Comprehensive insurance package including medical, dental, vision, disability & life insurance (Company pays 100% for employee/80% for dependents)
401K with company contribution
Flexible PTO policy, company paid holidays, and flexible hours
UberEats Program
Paid Parental Leave
Employee Referral Bonus Program paid in BTC
Company Donation Match
More surprises when you join!

OKCoin Statement
OKCoin is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.


Data Scientist

Who We Are
Okcoin is one of the world’s largest and fastest growing cryptocurrency exchanges. We help millions of people buy and sell bitcoin, and over 20 other crypto assets every day — but our work is a whole lot more than that. We’re building an inclusive future of finance, one that opens new opportunities to learn financial literacy, store value, and build wealth for everyone.
Ready to help the next billion people experience the future of finance with us? Come on board. We have offices in San Francisco, Malta, Hong Kong, Singapore, and Japan, but we believe in you working wherever you work best.
About the Team
The Risk function at OKCoin is responsible for the overall risk and fraud prevention culture at the company. We’re a team of risk-minded problem solvers who advise the business on the company’s regulatory obligations and enterprise risk. We’re also deeply committed to moving the needle on risk standards for the crypto industry, building products in a compliant way, and protecting the company from financial, regulatory and reputational risks. Our team consists of seasoned risk professionals who are based across our global offices.
About the Opportunity
This is a highly-impactful role at one of the fastest-growing global cryptocurrency exchanges headquartered in San Francisco, CA. The Data Scientist will offer a strategic perspective, deep analytical and modeling capabilities, and a collaborative working style.  The right candidate will have strong intellectual curiosity and passion for achieving business results.
An ability to quickly define the problem, research and leverage state-of-the-art modeling techniques, and provide timely recommendations will be essential. Key skills will include a strong analytical mindset,  deep understanding of most popular machine learning algorithms and lead key initiatives with integrity and a passion for investigations, problem solving, and troubleshooting.
What You’ll Be Doing:

Researches and leverages state-of-the-art modeling techniques; Participate in modeling innovation, development and validation;
Develop Risk policies / strategies / rules to understand and mitigate fraud on the platform while enabling the business to grow;
Understand impact of risk policy on Okcoin’s ecosystem (trade-off between loss/risk mitigation and revenue growth / positive customer experience);
Promote a data-driven culture within the department with value-added data analysis and timely management of information;
Engage in storytelling via data analytics to connect the dots and visualize problems or pain points within the business; and
Establish effective cross-functional relationships with Product, Customer Service, Business Intelligence, Engineering, Marketing, Business Development to build and operationalize robust risk solutions to address emerging business issues.

What We Look For In You:

1-2 years of experience in developing data-based analytical solutions;
Deep understanding of machine learning algorithms including GBM, XGBoost, LGBM, etc. Advanced programming skills of statistical / analytical software (SQL, R, Python,etc.);
Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization;
Experience with risk/data analytics, tools, and concepts, Risk Rule Engines, Risk Modeling, Identity Verification, etc.;
Maintain a high level of competency in statistical and analytical principles, tools and techniques, and support the advancement of the "best-in-class" analytical capabilities to unlock new capabilities and performance.
Experience in a fast-paced startup environment with a strong level of initiative;
Ability and willingness to travel as needed.

Nice to Haves:

Crypto/Blockchain experience;
Hands on experience/knowledge of modeling in machine learning (GBM, XGBoost, Random Forest,etc. )
Master's degree preferred in statistics, math, computer science, engineering, economics, or related quantitative field;

Highlights of Perks and Benefits

Market competitive total compensation package
Comprehensive insurance package including medical, dental, vision, disability & life insurance (Company pays 100% for employee/80% for dependents)
401K with company contribution
Flexible PTO policy, company paid holidays, and flexible hours
UberEats Program
Paid Parental Leave
Employee Referral Bonus Program paid in BTC
Company Donation Match
More surprises when you join!

OKCoin Statement
OKCoin is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.


Data Scientist

About this role We’re excited to say that this is a fully remote role with eligibility to work anywhere in the United States. While you will get together with your team on a semi-regular basis (monthly or quarterly, depending on the team), we want you to thrive wherever you work best!

As a leading destination for learning and teaching online, Udemy strives to create new possibilities for people and organizations everywhere by connecting them to the knowledge and skills they need to succeed in a changing world. Udemy is looking for data scientists with a combination of quantitative skills- and business intuition to find actionable insights that drive key business decisions.

As a Data Scientist at Udemy, you will be partnering with business leaders, product managers, marketers, designers, and engineers to identify, scope, and execute data-driven analyses to drive business impact. You will serve as a subject matter expert, especially while working with other data scientists and act as a data evangelist to create a data-driven culture across the company. Success in this role requires a combination of business intuition, practical data analysis experience, experimentation acumen, and strong communication and collaboration skills.

Here Are Some Questions You Could Be Working On in UB Product:

How do we measure the causal relationship between administrator usage of Learning Insights and annual recurring revenue?
How do we effectively design and implement randomized controlled experiments in the enterprise context?

Here Is What You Will Be Doing:

Collaborate with stakeholders to inform business decisions
Serve as a subject matter expert and thought leader in your domain and help drive the data science roadmap
Effectively communicate and present to both technical and non-technical audiences
Design and analyze randomized controlled experiments and conduct ad hoc analyses
Define metrics and build dashboards to track health of your specific domain
Develop robust data pipelines and continuously improve the quality and accessibility of data
Proactively influence prioritization through data-driven insights
Develop end-to-end modeling solutions
Build Udemy’s technical brand through talks, blog posts, and publications

We Are Excited About You Because You Have:

At least 2 years of industry experience
Ability to communicate effectively with non-technical stakeholders
Strong business intuition and judgement
Exceptional data storytelling and data visualization ability
Broad knowledge of applied statistics, experimental design, and causal inference
Expert SQL ability and proficiency with 1+ programming languages (e.g., R or Python)
Familiarity with data pipeline building (e.g. in Hive, Spark) and workflow tools (e.g. Airflow)
Ability to work autonomously, relentlessly prioritize, and collaborate with team members across time zones

We Are More Excited About You Because You Have:

5+ years of relevant industry experience
Experience with machine learning and causal inference
Familiarity with standard software engineering practices (e.g., Scrum)
Experience with business intelligence tools (e.g. Looker, Chartio, or Tableau)

About Udemy
We believe anyone can build the life they imagine through online learning. Today, millions of students around the world are advancing their careers and passions by exploring and mastering new skills on Udemy, and expert instructors are able to share their knowledge with the world. Through our global marketplace and our solutions for businesses and governments, we connect people everywhere with the skills they need for success in work and life. We’re a close-knit bunch that enjoys problem-solving and collaboration, and we share a serious belief in the power of learning and teaching to change lives. Udemy’s culture encourages innovation, creativity, passion, and teamwork. We also celebrate our milestones and support each other every day.

Founded in 2010, Udemy is publicly traded and headquartered in San Francisco’s SOMA neighborhood with offices in Denver (Colorado), Dublin (Ireland), Ankara (Turkey), Gurugram (India), and São Paulo (Brazil).

Vaccine Mandate (US Only)
Udemy is committed to keeping its employees, clients, and communities safe. Accordingly, we require all U.S. employees to be fully vaccinated against COVID-19 if their work requires them to come into a Udemy office or come into close contact with others. If you are unable to get vaccinated due to a medical condition, disability, sincerely-held religious belief, or as otherwise required by applicable law, we will consider requests for accommodation.

Udemy in the News
Udemy Adds More than $1 Billion To Its Valuation in New Funding Round
Udemy’s Workplace Learning Tool Just Surpassed $100M in ARR
Paid Paternity Leave Should be the Norm in the U.S.
Breakdown of Most In-Demand Skills for 2020—Finance, Marketing, Sales and Engineering
How Investing in Yourself Today Will Set You Up for Career Success Tomorrow
Feedback Isn’t the Problem, but the Way That We Deliver It Is Broken


Solutions Data Scientist

About the Role
We’re looking for a smart, passionate, team-oriented Solutions Data Scientist to support our customers in translating climate forecasts into actionable insights that matter for their business.
This person’s primary focus will be serving as the bridge between our customers and the data science team: understanding the customers needs, translating them into technical specifications, and explaining model outputs in terms of business value. This individual will have direct operational responsibilities (e.g. conducting benchmarking analyses), customer relationship responsibilities, and a project oversight role. This position will report primarily to the Solutions team,  and work closely with our data science and engineering teams to drive positive business outcomes for our customers. ClimateAi is a deep tech company, but our technology is only as valuable is the impact it has on our customers – as a Solutions Data Scientist, you will be responsible for delivering this impact.
Role Responsibilities:
Integrate ClimateAi’s forecasts into customers workflows and decision making
Analyse and understand customer data and ClimateAi insights
Translate customer needs into technical requirements
Collaborate with the data science team to deliver on those requirements via ClimateAi’s platform
Support the customer in interpreting those results and ensuring a direct link between our forecasts and their business objectives
Support business development efforts via demos, insightful analyses, and development of market-facing tools
Help build the Solutions function: define and drive processes that will enable us to scale
Grow with us: future opportunities to take on more responsibilities as our company and needs grow
Preferred Qualifications:
Domain expertise in Climate Science Meteorology, and/or Data Science, as indicated by a Master’s degree
Strong written and verbal communication skills, capable of clear communications to customers and data scientists alike
Strong project management skills: Ability to drive outcomes across teams, and in a timely fashion
Sufficient programming proficiency (Python) to execute analyses and thought partner with data science & product on new use cases and technical specifications
A good listener: able to hear and understand the customer need and the different perspectives of relevant stakeholders
Demonstrable experience in data visualization is a plus
Proficiency in Excel and Powerpoint is a plus
Most importantly, a passion for climate change solutions


Climate Data Scientist

About the Role
We are a young startup, looking for a passionate candidate who can contribute to our mission to deploy impactful solutions to the most important issue of our generation. Our focus will be on developing climate adaptation & resilience tools for various sectors, with agriculture as our initial market. We are looking for a Climate Data Scientist to join our team.
The person will be conducting cutting-edge applied research at the intersection of climate and data science. This individual should be able to work remotely and independently, with an eye for detail. The position will require frequent communication with the software engineering, product and solutions teams, so an affinity for collaborative work is crucial. Expect to give and receive constructive criticism, as we are constantly re-evaluating our hypotheses and our products.
Role Responsibilities:
Conduct independent research at the intersection of weather/climate and data science
Research existing literature to identify best solutions for a given problem
Train machine learning algorithms and apply statistical techniques to weather and climate data sets
Collaborate with our software engineering, product and solutions teams to effectively develop products
Lead small team of junior data scientists
Preferred Qualifications:
MS or PhD in physical/environmental science, engineering, computer science or related
Independent research experience
Experience writing modern Python code
Experience with version control systems and Github
Desired but not required skills:
Experience with weather and climate data
Experience with modern machine learning algorithms and frameworks
Experience with customers


Data Science Intern

About the Role
We are a young startup, looking for a passionate candidate who can contribute to our mission to deploy impactful solutions to the most important issue of our generation. Our focus will be on developing climate adaptation & resilience tools for various sectors, with agriculture as our initial market. We are looking for a Data Science Intern to join our team.
ClimateAi internships are full-time over a time period of at least 3 months. Interns work directly with one of our senior data scientists on cutting-edge applied research projects at the intersection of climate and data science. Interns are fully integrated into our company, including team and company-wide meetings and social activities.
We provide internship opportunities at every level of study and throughout the entire year. Internships are paid. ClimateAi is a remote company operating in the NA timezone. We welcome interns from an EU timezone, provided they are available for some evening meetings.
Desired Skills and Experience:
Enrolled in physical/environmental science, engineering, computer science or related degree
Enthusiasm to solve climate change
Coding experience, preferably in Python


Junior Data Scientist

About the Role
We are a young startup, looking for a passionate candidate who can contribute to our mission to deploy impactful solutions to the most important issue of our generation. Our focus will be on developing climate adaptation & resilience tools for various sectors, with agriculture as our initial market. We are looking for a Junior Data Scientist to join our team.
The person will be developing algorithms for our climate intelligence platform and producing data analyses for our customers. This individual should be able to work remotely and independently, with an eye for detail. The position will require frequent communication with the software engineering, product and solutions teams, so an affinity for collaborative work is crucial. Expect to give and receive constructive criticism, as we are constantly re-evaluating our hypotheses and our products.
Role Responsibilities:
Develop data science algorithms for climate analytics; work in collaboration with our software engineering team to integrate the algorithms into our product.
Produce data analyses requested by our team and our customers.
Help in machine learning-driven weather and climate forecasting research.
Produce visuals to share with customers; write documentation; explain work in easily understandable way.
Required Skills and Experience:
BS in physical/environmental science, engineering, computer science or related
Ability to write well documented and structured Python code
Basic understanding of statistics
Experience analyzing and visualizing datasets
Desired but not required Skills:
Experience with version control systems and Github
Experience with weather and climate data
Experience with customers


Data Scientist

About thredUP:
thredUP is transforming resale with technology and a mission to inspire a new generation of consumers to think secondhand first. By making it easy to buy and sell secondhand, thredUP has become one of the world’s largest resale platforms for women’s and kids’ apparel, shoes and accessories. Sellers love thredUP because we make it easy to clean out their closets and unlock value for themselves or for the charity of their choice while doing good for the planet. Buyers love shopping value, premium and luxury brands all in one place, at up to 90% off estimated retail price. Our proprietary operating platform is the foundation for our managed marketplace and consists of distributed processing infrastructure, proprietary software and systems and data science expertise. In 2018, we extended our platform with thredUP’s Resale-As-A-Service (RaaSⓇ), which facilitates modern resale for a number of the world’s leading brands and retailers. thredUP has processed over 125 million unique secondhand items from 35,000 brands across 100 categories. By extending the life cycle of clothing, thredUP is changing the way consumers shop and ushering in a more sustainable future for the fashion industry.
How you will make an impact
At thredUP, our mission is to inspire a new generation to think secondhand first, and data is critical to our success. We are seeking a curious and creative data scientist to join our team to drive critical business decisions company-wide. You will be working with a highly interdisciplinary team of data scientists, software engineers, product managers, and marketers. This role will involve building and refining the algorithms that drive our growth, deriving insights from our wealth of customer and inventory data, and partnering with our business and product teams to evolve and grow the thredUP marketplace.
In This Role You'll Get To:
Implement end-to-end algorithmic solutions to drive marketing and product decisions Advance our retention efforts by providing customer-first insightsDesign, configure, and analyze experiments that drive business growthUncover insights hidden in our vast repository of raw data, and provide tactical guidance on how to act on findingsParticipate in our knowledge-sharing culture by spreading best practices and learnings from prior experiences, helping the entire team level upImprove our data systems and tooling to continually increase our analysis efficiency and data access across the companyWork with other engineers and data scientists to design, code, and deploy data science and machine learning solutions across the product and business landscape
What We're Looking For:
3 or more years of demonstrated ability as part of a data science, product analytics, machine learning, or software development teamAbility to effectively work with business and product leads; strong cross-functional communication skills that help push projects forward and encourage the development of new collaborationsInnate curiosity and drive to find insights that unlock new growth or efficiency - you can’t help but dig in and seek the truthWell-rounded skill set in statistics, machine learning, software development, and project managementAdvanced knowledge of SQL and Python, and experience writing code in a collaborative environmentPrior experience working with marketplaces and/or a relevant background in economics or operations research is a plus
What We Offer:
- 4-day work week with Fridays off
- Competitive salary (we leverage market data) + stock
- Employee stock purchase plan
- Flexible PTO (take the time you need) + 13 company holidays (US offices)
- Paid Sabbatical after 3 years of full time employment
- Generous paid parental leave for new mothers and fathers
- Medical, dental, vision, 401k, life and disability insurance offered
- We live by our Core Values of Transparency, SpeakingUP, Thinking Big, Infinite Learning, Influencing Outcomes & Seeking the Truth
- Voted “50 Most Innovative Companies of 2020”
- RaaS - Finalist in Fast Company’s World Changing Ideas Awards 2021
- 2021 FORTUNEChange the World Finalist
We believe diversity, inclusion and belonging is key for our team.
At thredUP, our mission has been built on extending the lives of millions of unique clothing items. Much like our inventory, we are proud to have fostered a workplace that is one-of-a-kind. As a company focused on diversity, inclusion and belonging, we are committed to ensuring our employees are comfortable bringing their authentic selves to work every day. A unique perspective is critical to solving complex problems and inspiring a new generation to think secondhand first. Be you.
Apply Now


Data Science Manager Trust

About the role
We are looking for a Data Science Manager to join our Trust Data Science team. The mission of Trust is to make commerce secure for everyone and help Shopify become a globally trusted company and platform. As Shopify has grown rapidly over the last number of years, our Trust team has helped to create an environment that ensures 1) Our merchants can trust that Shopify has their best interests in mind and 2) Our merchants' customers can trust that the purchases they make are from reputable merchants. Our Trust Data Science team is responsible for applying both analytical and algorithmic solutions to help achieve this mission.
Working closely with an interdisciplinary team, you and your team will tackle challenging Trust-related problems like signifying the trustworthiness of a merchant, identifying security threats (both internal and external), and building a centralized repository for Trust signals at Shopify. We build strong data foundations, anomaly detection tools, and reporting frameworks to empower the Trust organization to make great decisions quickly.
What your role will look like:
Partner closely with product, engineering and other RnD stakeholders to guide their decisions using data
Proactively identify and champion projects that solve complex problems across multiple domains
Apply specialized skills and fundamental data science methods (e.g. experimental design, recommender systems and machine learning when needed) to inform improvements to our business
Design and implement end-to-end data pipelines: work closely with stakeholders to build  models, tables or schemas that support business processes
Empower teams to build and maintain actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
Qualifications
You will need to have:
Experience in a data science role solving high impact business problems in the areas of Fraud, Risk, Trust or Cybersecurity
Direct experience building, leading and growing high performing data science teams
Experience working with privacy concerns around closed data
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
Experience shipping productionized machine learning systems
Understanding of system design & architecture
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, or other advanced techniques are also welcome
Experience with data storytelling using Tableau, QlikView, Mode, Matplotlib, D3, or similar data visualization tools
Experience working as or with Data Engineers
All your information will be kept confidential according to EEO guidelines.
Shopify is now permanently remote, and we’re working towards a future that is digital by design. That location you see above? Consider it merely an example of hundreds of potential locations Shopify is hiring. Learn more here: https://www.shopify.com/careers/work-anywhere
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’s commitments to our communities, and our planet.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process


Senior Data Scientist Shop

About the role
We're looking for a Senior Data Scientist to join our team as we turn Shop into one of the most beloved products and brands in the world. We want shoppers to be able to develop meaningful connections with the brands they love, and we believe that Shop is the answer to helping foster those relationships with the powerhouse of Shopify merchants we love and support.
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.
Your responsibilities:
Proactively identify and champion projects that solve complex problems across multiple domains
Partner closely with product, engineering and other business leaders to influence product and program decisions with data
Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business
Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas  that support business processes
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
You will need to have:
4-6 years of commercial experience as a Data Scientist solving high impact business problems
Extensive experience with Python and software engineering fundamentals
Experience with applied statistics and quantitative modelling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)
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
It would be nice if you have:
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.
We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort.  We want to know what you're really interested in building and why you want to build it at Shop, so please give us as much detail on this as you'd like in the answers on the next page. 👍 📖
#LI-REMOTE
Shopify is now permanently remote, and we’re working towards a future that is digital by design. That location you see above? Consider it merely an example of hundreds of potential locations Shopify is hiring. Learn more here: https://www.shopify.com/careers/work-anywhere
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’s commitments to our communities, and our planet.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process


Staff Lead Data Scientist

About the role
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 Staff (i.e Lead) 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.
Qualifications
7-10 years of commercial experience in a data science role solving high impact business problems
You have well built technical experience that inspires individual contributors  creativity and innovation.
You have experience with product leadership and technical decision making.
You have been working closely with various levels of business stakeholders, from c-suite and down.
You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team.
Multiple work streams excites you, you are able to use ambiguity as an opportunity for high level thinking.
Experience creating data product strategies, data products, iterating after launch, and trying again.
Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
What would be great if you have:
Previous experience using Spark.
Experience with statistical methods like regression, GLMs or experiment design and analysis.
Exposure to Tableau, QlikView, Mode, Matplotlib, 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.
#LI-REMOTE
Shopify is now permanently remote, and we’re working towards a future that is digital by design. That location you see above? Consider it merely an example of hundreds of potential locations Shopify is hiring. Learn more here: https://www.shopify.com/careers/work-anywhere
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’s commitments to our communities, and our planet.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process


Data Science Manager

About the role
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.
We are looking for Data Science Managers to join our Data Science teams and help shape the insights and algorithms that will inform our strategies as we grow globally.
What your role will look like:
Partner closely with product, engineering and other RnD stakeholders to guide their decisions using data
Proactively identify and champion projects that solve complex problems across multiple domains
Apply specialized skills and fundamental data science methods (e.g. experimental design, recommender systems and machine learning when needed) to inform improvements to our business
Design and implement end-to-end data pipelines: work closely with stakeholders to build  models, tables or schemas that support business processes
Empower teams to build and maintain actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
Qualifications
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.
#LI-REMOTE
Shopify is now permanently remote, and we’re working towards a future that is digital by design. That location you see above? Consider it merely an example of hundreds of potential locations Shopify is hiring. Learn more here: https://www.shopify.com/careers/work-anywhere
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’s commitments to our communities, and our planet.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process


Lead Data Scientist Europe

About the role
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. The vision of the team is to grow Shopify by bringing global merchants onto our platform, and making them successful wherever and to whomever they sell. As part of the data science team your job will be to help our teams, both commercial and RnD, to make great decisions, quickly. You will focus on the challenges that arise from adapting Shopify to local commerce needs and requirements, and help our teams steer into the right direction by providing the right data at the right time.
Please note, this team is based in EMEA/Europe, and we are specifically looking for people to join us in these regions only.
Your responsibilities:
Gather context to solve ambiguous problems that leads to long term impact
Partner closely with product, engineering and other business leaders to influence decisions with data
Apply different analytics and data science methods to inform improvements to our business
Identify, design and implement end-to-end focal data pipelines that scale and allow data & product to move fast
Identify and build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
Advance best practices within data science and product teams
Qualifications
You will need to have:
Deep technical experience that inspires individual contributors, creativity and innovation. You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team,
Sound knowledge of applied statistics and quantitative modeling,
A track record of communicating to technical and non-technical audiences
Experience creating data product strategies, shipping data products and iterating after launch,
Experience working closely with various levels of business stakeholders, potentially all the way up to c-suite
Curiosity about multiple problem domains and analytical approaches,
Strong sense of ownership and a growth mindset
It would be nice to have:
Extensive experience using Python including a strong grasp of object-oriented programming (OOP) fundamentals.
Good experience with SQL
Understanding of dimensional modeling and building ETL pipelines
Familiarity with GCP and Spark
Familiarity with Tableau, QlikView, Mode, or similar data visualization tools
Experience contributing to productionized machine learning models at scale
Domain experience in e-commerce, marketing, SaaS or other relevant areas
We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort. Dan is an actual real live person and is looking forward to learning more about you and your interest in joining our team.
Interested, but not ready to apply?
Join the Shopify Talent Community to learn more about us, while you polish up your resume: https://www.shopify.com/careers/2021
Shopify is now permanently remote, and we’re working towards a future that is digital by design. That location you see above? Consider it merely an example of hundreds of potential locations Shopify is hiring. Learn more here: https://www.shopify.com/careers/work-anywhere
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’s commitments to our communities, and our planet.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process


Lead Data Scientist Shop Europe

About the role
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.
At Shop, Staff Data scientists use their expertise and drive to multiply the overall output of the data science team and deliver impactful solutions that power our Shop products. As a Staff Data scientist, you’ll help drive your team’s vision to its implementation. You will lead key initiatives that improve our understanding of customer behaviour, drive growth, and build data products that delight buyers and merchants. You’ll also be hands-on in our code and will contribute technically.
Your responsibilities:
Gather context to solve ambiguous problems that leads to long term impact
Partner closely with product, engineering and other business leaders to influence decisions with data
Apply different analytics and data science methods to inform improvements to our business
Identify, design and implement end-to-end focal data pipelines that scale and allow data & product to move fast
Identify and build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
Advance best practices within data science and product teams
Qualifications
You will need to have:
Deep technical experience that inspires individual contributors, creativity and innovation. You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team,
Sound knowledge of applied statistics and quantitative modelling
A track record of communicating to technical and non-technical audiences
Experience creating data product strategies, shipping data products and iterating after launch
Experience working closely with various levels of business stakeholders, potentially all the way up to c-suite
Curiosity about multiple problem domains and analytical approaches,
Strong sense of ownership and a growth mindset
It would be nice to have:
Extensive experience using Python including a strong grasp of object-oriented programming (OOP) fundamentals.
Good experience with SQL
Understanding of dimensional modelling and building ETL pipelines
Familiarity with GCP and Spark
Familiarity with Tableau, QlikView, Mode, or similar data visualization tools
Experience contributing to productionized machine learning models at scale
Domain experience in e-commerce, marketing, SaaS or other relevant areas
All your information will be kept confidential according to EEO guidelines.
We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort.  We want to know what you're really interested in building and why you want to build it at Shop, so please give us as much detail on this as you'd like in the answers on the next page. 👍 📖
At Shop, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process


Data Science Manager

About the role
Data Science & Engineering 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. The Data Science & Engineering team acts as the impact multiplier for Shopify’s product teams, putting over 11 petabytes of data to work to make our merchants more successful.  From delivering merchandising insights, to optimizing shipping and processing rates, to reducing credit card fraud, to ad campaign recommendations - our Data Scientists deliver solutions from pipeline to platform via an array of open source tools.
We are looking for Data Science Managers to join our Data Science teams and help shape the insights and algorithms that will inform our strategies as we grow globally.
What your role will look like:
Partner closely with product, engineering and other RnD stakeholders to guide their decisions using data
Proactively identify and champion projects that solve complex problems across multiple domains
Apply specialized skills and fundamental data science methods (e.g. experimental design, recommender systems and machine learning when needed) to inform improvements to our business
Design and implement end-to-end data pipelines: work closely with stakeholders to build  models, tables or schemas that support business processes
Empower teams to build and maintain actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
Qualifications
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
We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort. Dan is an actual real live person and is looking forward to learning more about you and your interest in joining our team.
Shopify is now permanently remote, and we’re working towards a future that is digital by design. That location you see above? Consider it merely an example of hundreds of potential locations Shopify is hiring. Learn more here: https://www.shopify.com/careers/work-anywhere
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’s commitments to our communities, and our planet.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process


Senior Data Scientist Shop Europe

About the role
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. The vision of the team is to grow Shopify by bringing global merchants onto our platform, and making them successful wherever and to whomever they sell. As part of the data science team your job will be to help our teams, both commercial and RnD, to make great decisions, quickly. You will focus on the challenges that arise from adapting Shopify to local commerce needs and requirements, and help our teams steer into the right direction by providing the right data at the right time.
Please note, this team is based in EMEA/Europe, and we are specifically looking for people to join us in these regions only.
Your responsibilities:
Proactively identify and champion projects that solve complex problems across multiple domains.
Partner closely with product, engineering and other business leaders to influence product and program decisions with data.
Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business.
Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas  that support business processes.
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
You will need to have:
Extensive experience with Python and software engineering fundamentals.
Experience with applied statistics and quantitative modeling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed).
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.
You should have one or more of:
Deep understanding of advanced SQL techniques
Expertise with statistical techniques and their applications in business
Strong 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
It'd be great if you can speak, read and write in either German, French, Spanish or Italian.

We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort. Dan is an actual real live person (👋🏻) and is looking forward to learning more about you and your interest in joining our team.
At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from people with disabilities, people from gender and sexually diverse communities, racialized people, and/or people with intersectional identities. Please take a look at our 2019 Sustainability Report to learn more about Shopify's commitments.Interested, but not ready to apply? Join the Shopify Talent Community to learn more about us, while you polish up your resume: https://www.linkedin.com/groups/12447410/
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process


Senior Data Scientist

The Team
Upstart’s Machine Learning team has a direct impact on our company's success. The team consists of Research Scientists, Data Scientists, ML Engineers and other highly specialized roles who build and enable our core production models.
Because our challenges are so new, members of our Machine Learning team need strong creative problem-solving skills and the technical background to implement solutions. Our research environment affords team members the opportunity to utilize a variety of statistical and machine learning methods with the freedom and encouragement to pursue alternative approaches to solving problems. Whether developing new products or identifying novel approaches to core models, we are continuously seeking the next big ideas to move our business forward.
The Role
As a Senior Data Scientist, you'll evaluate and monitor our models, their performance, and their effects on our customers. Additionally, you'll identify potential problems or opportunities for improvement, communicate these issues to the team, and suggest solutions. This involves self-directed investigation into our business and its data, designing and preparing regular reports, as well as conducting ad hoc analyses for the Machine Learning team, company leadership, and external parties such as partner banks.
Our Machine Learning team researches and productionizes all of Upstart’s core predictive models. If data is the new oil, then you’ll be responsible for the refining process that creates the most premium fuel possible. You’ll work in an environment where actionable insights from data are valued and needed, so you’ll be able to see your analysis turn into measurable results for our company and our borrowers.

Position Location - This role is available in the following locations: Columbus or Remote (#LI-REMOTE)

Time Zone Requirements - This team operates on either the East or West Coast time zones.

Travel Requirements - This team has regular on-site collaboration sessions six times annually split between the San Mateo or Columbus office locations. If you need to travel to make these meetups, Upstart will cover all travel related expenses.

What we’re looking for:

2+ years' in data science or related experience in a production setting
Knowledgeable in applied statistics (e.g., AB testing, hypothesis testing, linear and logistic regression)
Experience with Python or R as well as SQL
Strong sense of intellectual curiosity balanced with humility, drive and teamwork
Numerically-savvy and smart with ability to operate at a speedy pace
Ability to quickly piece together disparate pieces of information to form a broader picture
Ability to use data to detect bugs, surprises, and other important business issues
Determination to pursue a question until reaching a satisfactory conclusion
Experience with consumer data (especially consumer finance) is a plus
Data visualization skills preferred
Enthusiasm for and alignment with Upstart’s mission and values
MS or PhD in econometrics, applied statistics or related quantitative areas of study


Senior Data Scientist

At Wellthy, we dream of the day when taking care of the sick and the elderly becomes seamlessly human and tech powered. Wellthy is evolving the way we take care of each other by building a better healthcare experience for people with complex, chronic, and aging concerns.
In your data science role, you will collaborate with Service, Partnerships and other business units across the organization to ensure work is completed with insights from knowledgeable coworkers. The Sr. Data Scientist work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action. You will report to the CTO, and partner closely with our COO and Product team.
Who we’re looking for:
You are mission driven; the Wellthy mission touches you at your core. You’re smart, hungry, and scrappy with advanced knowledge of data, modeling, optimization, and tools. You enjoy moving quickly and thinking on your feet, and generally being part of a fast-growing startup. You’ve had data science, healthcare informatics and reporting experience and can apply disciplined analytics to predict behavior and optimize predictive modeling to develop, test and validate cases that improve utilization and quality of the services we offer. You understand and can analyze complex data sets, and articulate to various units within the company at the appropriate level. You make decisions regarding your own work methods and require minimal direction. You have a spirit of generosity and thrive in a team because you enjoy helping and getting to know your colleagues. You find creative ways to organize, structure, and manage. Most importantly, you’re a doer and a believer.
Responsibilities:

Design and analyze product experiments, and communicate findings to key stakeholders to inform product recommendations
Build dashboards using data visualization tools to improve business operations
Provide subject matter expertise on analytics engineering architecture and best practices
Establish data science development methodologies and data governance
Perform ad hoc analysis for stakeholders across functional business units
Identify, analyze and interpret trends or patterns in complex data sets
Build and train a breadth of predictive models using supervised learning methods
Define data quality standards and implement appropriate profiling and testing methods to mitigate data errors
Work with management to prioritize business and information needs
Locate and define new process improvement opportunities
Provide ongoing reports, interpret data, and analyze results using statistical techniques to help drive business decisions
Build and manage a team of data scientists

Required Qualifications:

Bachelor’s degree in research design and statistics; Master’s preferred
5+ years of experience in data science, healthcare informatics and/or data analytics
Experience building, testing and managing large-scale, end-to-end data integration / ETL systems for high-transaction products
Proficiency in SQL, Python, R, and other packages a plus
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Adept at queries, report writing and presenting findings
Excellent written and verbal communication skills

About Wellthy:
Wellthy is a healthcare concierge service. We use dedicated care coordinators and our seamless technology platform to project manage healthcare for families with sick and aging loved ones. Wellthy takes the pain out of healthcare – scheduling appointments, finding the right specialists, researching treatment options, managing insurance, organizing records, communicating with family members and much more. For employers, Wellthy promises to reach, support, and improve productivity of caregiving employees. Find out more: www.wellthy.com.


Senior Machine Learning Researcher

About AKASA

We're on a mission to remedy the financial complexity crippling healthcare in America.

Our aim is to organize and use all healthcare information to reduce the cost of care and improve the patient experience.

As the only Unified Automation™ company for healthcare, we use the same machine learning approaches that made driverless cars possible to provide health systems with a single solution for core operational management. AKASA's unique expert-in-the-loop approach, Unified Automation, combines modern machine learning with human judgment and subject matter expertise to provide resilient automation. AKASA brings together the best of people, data and technology to efficiently, accurately and autonomously navigate the complex state of medical reimbursement in the United States.

We are growing rapidly and we've built a cross-functional skill set deep into the DNA of the company. We have technology experts from top Silicon Valley technology companies (Google, Facebook, etc) and machine learning PhD programs (Stanford, etc). We also have senior leaders from the frontlines of healthcare with decades of experience leading teams at prominent healthcare institutions in the US. And we have a deep bench of talent from healthcare services firms like the Advisory Board, Optum and Triage Consulting.

If you love to execute, we'd love to hear from you. We take a very mindful approach to building a culture that is flexible, diverse and inclusive. We approach our work thoughtfully, learn quickly, improve constantly, and celebrate our wins. Everyone is welcome — as an inclusive workplace, our employees are comfortable bringing their authentic whole selves to work. Be you.

About the Role

As a remote Senior Machine Learning Researcher, you'll report to our CTO and work with machine learning PhDs from top schools (e.g., Stanford), and experienced machine learning engineers from top companies (e.g., Google).

Read our first two research publications about Autonomous Medical Codingand using Deep Learning for Payer Response Prediction for more information on our previous work.

AKASA is based in South San Francisco. As a company, we embraced remote work before COVID-19. We consider ourselves experts in working collaboratively wherever our team members happen to reside.

What You'll Do

Create innovative AI/ML solutions to address real-world human health and healthcare problems
Contribute to AKASA’s drive to be on the cutting edge of technology through the publications and patents
Keep up to date with the advancement within the AI/ML community and decide when those developments warrant incorporation

Skills & Qualifications

A passion for working on important and impactful human health and healthcare problems
Ph.D. focused on ML or relevant publications or experience in fields related to AI,computer vision, natural language processing, computational neuroscience, optimization, computer science, statistics, applied mathematics, or data science.
First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, NAACL, and EMNLP) are preferred.
Experience in rapid prototyping and quick experimentation and proficient in writing code that others can understand, adapt and extend
Ability to multitask effectively under pressure and easily adapt within a fast-paced environment with strong written and verbal communication skills

What We Offer

Work with an experienced and complementary founding team consisting of serial entrepreneurs, AI experts and healthcare industry leaders
Meaningfully own or contribute to category-defining products that fundamentally change healthcare operations
Great compensation package and equity grants
Generous coverage for health, dental and vision insurance
Full employer coverage for life insurance
401k Plan
Free membership to One Medical (Concierge Clinic) for you and your family (if you are in a region covered by One Medical)
Flexible schedules and personal time off (PTO)
Paid company holidays and bonus “Wellness Days”

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


Intern Ai Machine Learning Research

Vimeo empowers video creators to tell exceptional stories and connect with their audiences and communities. Home to more than 60 million members in over 150 countries, Vimeo is the world’s largest ad-free open video platform and provides powerful tools to host, edit and share videos in the highest quality possible.
The Machine Learning Research team at Vimeo is focused on researching and deploying the latest machine learning technology to enhance all stacks of Vimeo’s products. With the massive amounts of data at Vimeo, our projects range from user insights, networking, to video understanding, and involve a wide variety of artificial intelligence (AI) techniques, such as natural language processing (NLP), image and video understanding, deep learning, and reinforcement learning.
During your internship, you will work with us to define and work on a project that’s best suited for your interest, experience and desired area of growth, as well as Vimeo’s mission. The project might vary depending on what data is available and what’s accomplishable during the length of the internship. This internship will help you adapt to real-world machine learning problems, understand the opportunities and challenges in the industry, and acquire skills and insights to conduct large-scale machine learning research projects.
What you’ll do:

Perform machine learning research utilizing datasets available on Vimeo's platform.
Conduct a full cycle of research from problem definition, to data preprocessing, investigating and optimizing potential solutions, in order to deliver models aimed at deployment.

Skills and knowledge you should possess:

Student pursuing a M.S./Ph.D with a focus on machine learning, computer science, statistics or related quantitative areas, with an expected graduation date in 2022-2023.
Strong analytical and quantitative skills, with strong programming skills and experience in Python, R or Matlab. Experience with deep learning frameworks such as TensorFlow, Pytorch.
Knowledge of deep learning with at least one of the following areas: Natural Language Processing, Computer Vision, Recommendation Systems, Search, Personalization, Reinforcement Learning.
Strong sense of ownership for one’s project, and ability to independently perform research as well as collaborate with researchers and engineers with supplemental expertise.

Bonus points:

Prior experience in publishing in top machine learning/data science conferences and journals.

While we offer competitive compensation, we don't provide accommodation. Please ensure you are interested in an internship in New York City under these circumstances before applying.
#LI-CB1


Data Scientist Intern Masters Ph D

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 Europe and expanding quickly.

As a Data Scientist Intern at Gopuff, you’ll build and deploy machine learning models for all sorts of highly important use cases - including search and recommendation, personalization, pricing optimization,  predictive inventory planning, operations optimization, and experimentation. You will 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 and a thoughtful problem solver.

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 to 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
Build a best in class experimentation platform
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 computer science, statistics, mathematics, physics, data analytics, 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

Benefits
We want to help our employees stay safe and healthy! We offer comprehensive medical, dental, and vision insurance, optional FSAs and HSA plans, 401k, commuter benefits, supplemental employee, spouse and child life insurance to all eligible employees.

We also offer:
-Gopuff employee discount
-Career growth opportunities
-Internal rewards programs
-Annual performance appraisal and bonus

At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes.

And now, we’re assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.

Like what you’re hearing? Then join us on Team Blue.

Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.


Data Scientist Marketing

We are looking for a highly-skilled Data Scientist with experience performing statistical analysis, predictive analytics, and attribution modeling among others. This role is specifically more focused on supporting the growth marketing team. The role will be involved in things like helping identify important user subgroups, informing ad spend, email targeting, and A/B testing.
RESPONSIBILITIES:

Participate in the full lifecycle of a model including design, coding, most importantly testing, and release
Collaborate with the data and analytics team, marketing team, and marketplace teams
Work on models such as fraud, player churn, or causal inference
Utilizing experimentation, help analyze and project optimal values
Predictive analytics

REQUIREMENTS:

Bachelor’s Degree in a quantitative field, Ph.D. preferred
3+ years of professional experience with Python
Experience with Bayesian techniques
Experience with tools and frameworks like Pytorch, TensorFlow, Scikit-Learn, SQL, etc
Familiarity with some of the following models:lifetime value modeling, causal inference, attribution modeling, outlier detection
The ability to ELI5
Drive to learn and improve

Our team values diversity and believes that it strengthens our games, products, and communities. We strongly encourage POC, folks with disabilities, those belonging to the LGBTQIA+ communities, and folks across all gender identities to apply.
We offer our team benefits such as (but not limited to) high-quality Vision, Dental, and Health Care, generous Parental Leave, and Unlimited PTO to ensure that they actually take time off without the stress of needing to accrue time.
If you need assistance around accommodations due to a disability, please reach out to accessibility@mythical.games. We’ll be with you as soon as possible; our goal is to ensure an accessible and equitable interview process for everyone.


Data Scientist

We are looking for a highly-skilled Data Scientist with a strong background in statistics and programming. In this role, you will be responsible for creating and maintaining a variety of models – the job is never boring! This role is not assigned to any single project, but will be able to work on a variety of problems.
RESPONSIBILITIES:

Participate in the full lifecycle of a model including design, coding, most importantly testing, and release
Collaborate with the data and analytics team, marketing team, and marketplace teams
Work on models such as fraud, player churn, or causal inference
Utilizing experimentation, help analyze and project optimal values
ML visualizations
Predictive analytics

ZREQUIREMENTS:

Bachelor’s Degree in a quantitative field, Ph.D. preferred
3+ years of professional experience with Python
Experience with Bayesian techniques
Experience with tools and frameworks like Pytorch, TensorFlow, Scikit-Learn, SQL, etc
Familiarity with some of the following models: outlier detection, lifetime value modeling, or causal inference
The ability to ELI5
Drive to learn and improve

Our team values diversity and believes that it strengthens our games, products, and communities. We strongly encourage POC, folks with disabilities, those belonging to the LGBTQIA+ communities, and folks across all gender identities to apply.
We offer our team benefits such as (but not limited to) high-quality Vision, Dental, and Health Care, generous Parental Leave, and Unlimited PTO to ensure that they actually take time off without the stress of needing to accrue time.
If you need assistance around accommodations due to a disability, please reach out to accessibility@mythical.games. We’ll be with you as soon as possible; our goal is to ensure an accessible and equitable interview process for everyone.


Senior Data Scientist

The problem

Every year, billions of dollars are set aside by your local, state, and federal representatives to make it easier for anybody to build a small business and turn their dream into reality.

But while governments might be great at governing, they’re terrible at marketing. These billions sit unclaimed, waiting for founders to discover them. We want to fix that, and we need your help.

The opportunity

MainStreet is looking for a Senior Data Scientist to enable a deep understanding of our customers in order to power our internal systems and provide “magical” experiences for our customers. This role will work to enable others to tackle data intensive problems as well as be a foundational member of the data engineering team - defining what data science looks like at MainStreet. As the company continues to grow, this role will provide an opportunity to highlight aggregate insights externally and solidify MainStreet as a leader in the SMB space.

What you’ll do

Build the foundations for  a customer-obsessed culture via data.
Propose effective solutions to critical business analytics problems, including the ability to design thoughtful experiments.
Effectively communicate with a wide variety of business partners by explaining  complicated concepts to a wider audience - data scientists, engineering, and broader business partners.
Split time between empowering other teams and novel exploration of our data - increase our understanding, build out second layer data, and build models for our product.
Help shape the future of data science at MainStreet, bringing your ideas on improving and automating what we do and how we do it.

What we’re looking for

5+ years experience in a data science or machine learning role.
Technical understanding of key technologies around systems, software engineering, and data management.
Practical experience with Python and SQL including building end-to-end solutions from quick prototypes to systems that must be maintained in production for many years.
Ability to influence without authority, and collaborate with stakeholders horizontally and vertically throughout the company.
Ability to work independently and communicate over the phone and with video chat software, such as Zoom.
Strong preference for candidates with corporate financial data, payroll data, and/or time-series data experience
Preference for candidates with an advanced degree in a quantitative field such as Math, Physics, Statistics, Biostatistics, Economics, Finance, and/or Computer Science.

Compensation

Base salary range for this position is $130,000 - $200,000 and is based upon years of experience that is commensurate with the level of the position in addition to location.
Bonus rate that is commensurate with the level of the position.
Robust equity program with significant upside potential.
Benefits including medical, dental, vision, disability, life, 401k plus additional perks to make your work from home life better.

About MainStreet

What we do

We make these tax credits easy as butter. MainStreet pairs companies & employees with hundreds of local, state, and federal tax programs. Then we do all the paperwork to get companies what they’re owed in minutes, vs the dozens of hours it would otherwise take.

The average company gets $51,040… in the first year. In cash.

We just announced our $60M Series A, led by SignalFire. We’re backed by an incredible community of partners, operators, and founders, including Ryan Hoover (Product Hunt founder), Ashton Kutcher’s Sound Ventures, Des Traynor (Intercom cofounder), Gradient (a Google Venture Fund), Ron Conway’s fund SV Angel, and Tusk Ventures.

How we think about diversity

We try to make sure the diversity of our customers is reflected in the team that serves them. Because when we include people of all races, genders, sexual orientations, ages, and identities — we end up building a better experience for everyone who uses MainStreet.

We know we need to be intentional in our hiring practices in order to overcome systemic biases we may be blind to. So, if your lived experience has given you a unique perspective on business, startups, or any other aspect of our business – even if you don’t meet all the requirements – please still apply and let us know so we can make sure your application gets the attention it deserves.


Senior Data Scientist

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

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

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

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

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

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

Your Experience:

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

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

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

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

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

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

Bonus Areas of Expertise:

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

Knowledge of Google Cloud technologies and Airflow

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

Developing and deploying production-quality machine learning pipelines and models

Compensation Range:
$166,725 - $230,270


Senior Data Scientist

Location: Remote United States
Department: Engineering
Work Status: Full-time
Overview
Are you looking for a hybrid or remote work opportunity? Are you interested in a workplace that allows for flexibility in your day? Are you ready for a workplace that provides benefits that suit your needs?
Relativity's scale and scope create tremendous variety for rich data exploration and insights; our market position and scaled products mean our latest and greatest models and insights can quickly be in the hands of our users. If you're looking for a data rich environment that is already using AI, with at-scale challenge and a ton of new ideas and experimentation ahead, you will find yourself at home on the AI data science team within Relativity. The team is growing fast; you'll have a huge impact in shaping the culture, best practices, and vision of how machine learning and AI are used at Relativity. You'll have the freedom to experiment with and participate in deciding which big data, deep learning and NLP tools are right for Relativity on an ongoing basis. We are looking for collaborative builders who want to move fast and love a challenge.
Your Role in Action
Develop machine-learning models and algorithms to be released as new product features.Work with engineers to develop production-level code and contribute to the entire deployment lifecycle.Help develop internal standards, processes and tooling for a new data science team.Work with Product to assemble datasets for evaluation and model building..
Your Skills
A Master's Degree in information retrieval, natural language processing, or a related discipline, AND 2 years of relevant industry experience OR a Ph.D. in information retrieval, natural language processing, or a related discipline OR the equivalent of 5 years of relevant academic/industry experience.Experience building and deploying natural language processing modelsProficient in programming and scripting in a language such as Python.Comfortable with command-line tools in UNIX environments.Use inclusive language whenever possible, communicate data science concepts to colleagues of all backgrounds, use technical vocabulary judiciously and with intention
Apply Now
About Relativity
Relativity is a diverse workplace with different skills and life experiences—and we love and celebrate those differences. We believe that employees are happiest when they're empowered to be their full, authentic selves, regardless how you identify.
Benefit Highlights:
Comprehensive health, dental, and vision plans
Parental leave for primary and secondary caregivers
Flexible work arrangements
Two, week-long company breaks per year
Unlimited time off
Equity program
Training investment program
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.


Senior Data Scientist

Our mission is to help small businesses start and grow. We are building financial products that empower business owners and enable them to focus on their products and on growing their businesses. At Nearside we care about creating solutions which provide accessible, transparent, and fair access to financial products. We are a remote friendly company and our team is spread out across the United States and Canada. At this time, we have a physical office in San Francisco with more locations opening around the country soon. Our company is growing and we’d love for you to grow with us!

Opportunity

At Nearside, the Data team partners with every function in the organization in order to help teams make data-driven decisions, take data-informed actions, and build a world-class data platform. We're highly quantitative individuals who love to turn data into insights and communicate our findings fearlessly, and we're looking for people with a similar mindset who are constantly curious, driven to understand our business better, and committed to creating value.

As a Senior Data Scientist at Nearside, you will partner with teams across the company to refine our understanding of the business, define (and measure the success of) new initiatives, develop and implement models, and provide actionable insights and conclusions in order to support teams cross-functionally. This will be a high visibility role that will add significant value to every part of our company to further our goal of helping small business owners (SMBs) scale and grow.

If you are someone who can proactively surface recommendations and insights, can work across the analytics and data stack to solve complex problems, has a passion for operations and process, and thrives at the intersection of business needs, customer experience, and technology/innovation -- then we would love to meet you!

What You’ll Be Doing

Evaluating the performance of company initiatives by analyzing customer funnels and metrics (new business, retention, CAC, LTV, churn, etc.)
Partnering with the Credit/Fraud, Marketing, Product, Ops, Finance, and Compliance teams to help them better understand their functional areas, build understanding and increase use of our data, and set a high bar for analytics across the organization
Building data science models for risk analysis, fraud detection, and customer acquisition in order to accelerate Nearside’s business
 Creating dashboards in Mode that allow internal consumers to gain insight into the performance of their functional areas
Constructing reusable data pipelines in Fivetran and dbt for company-wide use
Monitoring the state of the business on a regular basis and generating data-driven hypotheses and action items in order drive business impact

Recent projects include: growth funnel measurement, measuring the success of new growth channels (eg. out-of-home advertising), e-mail marketing A/B testing, fraud detection rules for AML compliance, and more!

Experience/Skills You Need:

4+ years of work experience in analytics/data science or a directly related field – some of which should be at a technology or finance company
A proven track record of initiating and delivering actionable analyses/recommendations in order to drive business impact
An understanding of fintech business models and key metrics
Experience designing and implementing data science/ML models to provide deeper insights and recommendations
Excellent communication skills (technical and non-technical) and comfort working with high-level stakeholders
The ability to work autonomously in a small group: strong communication, collaboration, and empathy
Excellent SQL skills and experience with databases/data warehouses; fluency with BI/visualization tools
Deep knowledge of Excel, R, Python, or other analysis and modeling tools
Strong critical reasoning skills, including an understanding of common pitfalls of data analysis

You’re not expected to have expertise in all of the above areas, but you should be interested in learning and growing your knowledge in the areas that are less familiar to you.

About Us
Benefits

Nearside does not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.