Principal Machine Learning Scientist Search Personalization

Fanatics is a leading global digital sports platform, complete with offerings that excite fans and maximize the reach and presence for partners across the entire sports ecosystem. Come help us build a company the world has never seen before! We are first and foremost a technology company. We build innovative fan experiences through highly analytical, forward thinking, and open-minded collaboration. We are passionate about evaluating and finding the right tech for the jobs at hand, and we get excited about building solutions for modern challenges.

At Fanatics, we are passionate about leveraging data to drive growth and operational efficiencies. We firmly believe in putting data at the forefront of delivering an engaging experience for our sports fans!
 Fanatics Inc. is looking for highly motivated individuals to lead our Data Science initiatives. You will lead a small team of scientists and collaborate closely with engineering teams, PMs, cross-functional business units to address challenging problems using techniques from applied statistics, machine learning and/or data mining fields.

What You'll Be Doing:
•Build, deploy, and maintain predictive models in one or more of the following areas:
•Typeahead, Query Understanding and Search Ranking, Learning-to-Rank
•Personalized Product Ranking and other personalization
•Product Recommendations Systems
•Be a Thought-leader and a Visionary with excellent technical abilities, strong leadership skills, communication skills, and adaptability to new, cutting-edge research in the field of AI and Machine Learning
•Provides mentorship/leads a small team of excellent scientists. Coach and guide the work of others in small groups of four to six data scientists to deliver complex models, analytical projects and solve business problems, and act as a point of contact and thought leader for the team
•Handle multiple projects simultaneously and independently with a lot of freedom and accountability for success
•Collaborate cross-functionally with diverse teams (e.g., marketing operations, technology, merchandising, procurement, apparel design/production) to understand business objectives and design and implement data-driven solutions
•Effectively communicate analytical solutions to non-technical stakeholders and senior leadership

What We're Looking For:
•Any prior work in information retrieval, knowledge graphs, recommendations, and personalization in an e-commerce setting is highly desirable.
•Experience in Real-time streaming, Active Learning, Reinforcement Learning, Deep Neural Networks, Graph-based Learning would be really desirable
•Minimum 10 years' relevant experience in the industry (excluding internships/co-op/academic projects) in developing multiple machine learning and statistical models and projects for real-world, business problems in productions.
•Strong algorithmic thinking and passion for empirical research to answer hard questions.
•Ability to communicate complex quantitative analysis, algorithmic approaches, and findings in a clear, precise, and actionable manner.
•A BS/MS/Ph.D. degree in Statistics, Applied Math, Operational Research, Computer Science or related field is desirable
•Highly effective in leading and working on multiple projects and delivering results on time effectively. Exceptional skills in project management (planning, resource allocation, and execution) and attention to detail. Exceptional leadership owning the outcome and building work relationships in cross-function projects.

Things We Care About

·         Your career growth, your ideas, your work-life balance, and your well-being.
·         Diversity and Inclusion
·         Our Company Culture and Values
·         Providing outstanding Company Perks and Benefits

Company Overview

Fanatics is building a leading global digital sports platform to ignite and harness the passions of fans and maximize the presence and reach for hundreds of partners globally. Optimizing these long-standing partnerships, a database of more than 80 million global consumers and a trusted, recognizable brand name, Fanatics is expanding beyond its position as a global leader for licensed sports merchandise to now becoming a next-gen digital sports platform, featuring an array of offerings for fans across the sports ecosystem.

The Fanatics family of companies currently includes Fanatics Commerce, a vertically-integrated licensed merchandise business that has changed the way fans purchase their favorite team apparel, jerseys, headwear and hardgoods through a tech-infused approach to making and quickly distributing fan gear in today’s 24/7 mobile-first economy; Candy Digital, a digital collectibles company that is partnering with prominent sports properties, including MLB and MLBPA, to build an official NFT ecosystem; Fanatics Collectibles, through Topps as a cornerstone of the business, building a new model for the collectibles and trading cards hobby with top leagues and players association partners; and Fanatics Betting & Gaming, a mobile betting, gaming and retail sportsbook platform. Fanatics’ partners include all major professional sports leagues (NFL, MLB, NBA, NHL, NASCAR, MLS, PGA) and hundreds of collegiate and professional teams, which include several of the biggest global soccer clubs.

As a market leader with more than 9,000 employees, and hundreds of partners, suppliers, and vendors worldwide, we take responsibility for driving toward more ethical and sustainable practices. We are committed to building an inclusive Fanatics community, reflecting and representing society at every level of the business, including our employees, vendors, partners and fans. Fanatics is also dedicated to making a positive impact in the communities where we all live, work, and play through strategic philanthropic initiatives.

At Fanatics, we’re a diverse, passionate group of employees aiming to ignite pride and passion in the fans we outfit, celebrate and support.  We recognize that diversity helps drive and foster innovation, and through our IDEA program (inclusion, diversity, equality and advocacy) at Fanatics we provide employees with tools and resources to feel connected and engaged in who they are and what they do to support the ultimate fan experience.

www.fanaticsinc.com

Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud.  Fanatics never seeks payment from job applicants.  Fanatics recruiters will only reach out to applicants from an @fanatics.com or @fanatics.co.uk email address.  For added security, where possible, apply through our company website at www.fanaticsinc.com/careers

Fanatics is committed to responsible planning and purchasing (RPP) practices, working with its business partners across its global and multi-layered supply chain, to ensure that planning, sourcing, and purchasing decisions, along with other supporting processes, do not impede or conflict with the fulfillment of Fanatics’ fair labor practices.

NOTICE TO CALIFORNIA RESIDENTS/APPLICANTS: In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we collect include your name, government issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information.  We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future contract positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies.


Senior Data Scientist

Fanatics is a leading global digital sports platform, complete with offerings that excite fans and maximize the reach and presence for partners across the entire sports ecosystem. Come help us build a company the world has never seen before! We are first and foremost a technology company. We build innovative fan experiences through highly analytical, forward thinking, and open-minded collaboration. We are passionate about evaluating and finding the right tech for the jobs at hand, and we get excited about building solutions for modern challenges.

At Fanatics, we are passionate about leveraging data to drive growth and operational efficiencies. We firmly believe in putting data at the forefront of delivering an engaging experience for our sports fans!

Fanatics is looking for highly motivated individuals to join our Data Science and Engineering team. You will collaborate closely with engineering, PMs, cross functional business units to address challenging problems using techniques from applied statistics, machine learning and/or data mining fields.

What You'll Be Doing

Build, deploy, and maintain predictive models in one or more of the following areas:
1. Search, Product Ranking, Learning-to-Rank, Recommendations Systems, NLP
2. CRM/Email and eMarketing optimization
3. Price and promotion optimization
Leads with excellent technical abilities, leadership, strong communication skills, and adaptability to new, cutting-edge research in the field of AI and Machine Learning
Leads the work of others in small groups of four to six data scientists to deliver complex models, analytical projects and solve business problems, and act as a mentor and thought leader for the team
Dive into complex data sets to analyze trends and identify opportunities for improvement.
Support business stakeholders by providing ad-hoc analysis to help drive decision-making.
Collaborate cross-functionally with diverse teams (e.g. marketing operations, technology, merchandising, procurement, apparel design/production) to understand business objectives and design and implement data-driven solutions
Effectively communicate analytical solutions to non-technical stakeholders and senior leadership

What We're Looking For

Minimum 5 years' relevance experience in the industry (excluding internships/co-op/academic projects)
Experience developing multiple machine learning and statistical models and projects for real-world, business problems in productions
Strong algorithmic thinking and passion for empirical research to answer hard questions.
Ability to communicate complex quantitative analysis, analytic approaches and findings in a clear, precise, and actionable manner.
Designing and evaluating A|B experiments and monitoring key product metrics, understanding root causes of changes in metrics.
Working knowledge of big data processing technologies such as Hadoop, Hive, Pig and Spark.
Ability to use SQL to perform data analysis.
Highly effective in leading and working on multiple projects and delivering results on time effectively. Exceptional skills around project management (planning, resource allocation and execution) and attention to details. Exceptional leadership owning outcome and building work relationship cross function areas.
Passionate in learning about new eCommerce business and new data science technology to drive business impact. Demonstrated experience with online-marketing industry.

Things We Care About

·         Your career growth, your ideas, your work-life balance, and your well-being.
·         Diversity and Inclusion
·         Our Company Culture and Values
·         Providing outstanding Company Perks and Benefits

Company Overview

Fanatics is building a leading global digital sports platform to ignite and harness the passions of fans and maximize the presence and reach for hundreds of partners globally. Optimizing these long-standing partnerships, a database of more than 80 million global consumers and a trusted, recognizable brand name, Fanatics is expanding beyond its position as a global leader for licensed sports merchandise to now becoming a next-gen digital sports platform, featuring an array of offerings for fans across the sports ecosystem.

The Fanatics family of companies currently includes Fanatics Commerce, a vertically-integrated licensed merchandise business that has changed the way fans purchase their favorite team apparel, jerseys, headwear and hardgoods through a tech-infused approach to making and quickly distributing fan gear in today’s 24/7 mobile-first economy; Candy Digital, a digital collectibles company that is partnering with prominent sports properties, including MLB and MLBPA, to build an official NFT ecosystem; Fanatics Collectibles, through Topps as a cornerstone of the business, building a new model for the collectibles and trading cards hobby with top leagues and players association partners; and Fanatics Betting & Gaming, a mobile betting, gaming and retail sportsbook platform. Fanatics’ partners include all major professional sports leagues (NFL, MLB, NBA, NHL, NASCAR, MLS, PGA) and hundreds of collegiate and professional teams, which include several of the biggest global soccer clubs.

As a market leader with more than 9,000 employees, and hundreds of partners, suppliers, and vendors worldwide, we take responsibility for driving toward more ethical and sustainable practices. We are committed to building an inclusive Fanatics community, reflecting and representing society at every level of the business, including our employees, vendors, partners and fans. Fanatics is also dedicated to making a positive impact in the communities where we all live, work, and play through strategic philanthropic initiatives.

At Fanatics, we’re a diverse, passionate group of employees aiming to ignite pride and passion in the fans we outfit, celebrate and support.  We recognize that diversity helps drive and foster innovation, and through our IDEA program (inclusion, diversity, equality and advocacy) at Fanatics we provide employees with tools and resources to feel connected and engaged in who they are and what they do to support the ultimate fan experience.

www.fanaticsinc.com

Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud.  Fanatics never seeks payment from job applicants.  Fanatics recruiters will only reach out to applicants from an @fanatics.com or @fanatics.co.uk email address.  For added security, where possible, apply through our company website at www.fanaticsinc.com/careers

Fanatics is committed to responsible planning and purchasing (RPP) practices, working with its business partners across its global and multi-layered supply chain, to ensure that planning, sourcing, and purchasing decisions, along with other supporting processes, do not impede or conflict with the fulfillment of Fanatics’ fair labor practices.

NOTICE TO CALIFORNIA RESIDENTS/APPLICANTS: In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we collect include your name, government issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information.  We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future contract positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies.


Principal Data Scientist

Fanatics is a leading global digital sports platform, complete with offerings that excite fans and maximize the reach and presence for partners across the entire sports ecosystem. Come help us build a company the world has never seen before! We are first and foremost a technology company. We build innovative fan experiences through highly analytical, forward thinking, and open-minded collaboration. We are passionate about evaluating and finding the right tech for the jobs at hand, and we get excited about building solutions for modern challenges.

At Fanatics, we are passionate about leveraging data to drive growth and operational efficiencies. We firmly believe in putting data at the forefront of delivering an engaging experience for our sports fans!

Fanatics is looking for highly motivated individuals to join our Data Science and Engineering team. You will collaborate closely with engineering, PMs, cross functional business units to address challenging problems using techniques from applied statistics, machine learning and/or data mining fields.

What You'll Be Doing

Build, deploy, and maintain predictive models in one or more of the following areas:
1. Search, Product Ranking, Learning-to-Rank, Recommendations Systems, NLP
2. CRM/Email and eMarketing optimization
3. Price and promotion optimization
Leads with excellent technical abilities, leadership, strong communication skills, and adaptability to new, cutting-edge research in the field of AI and Machine Learning
Leads the work of others in small groups of four to six data scientists to deliver complex models, analytical projects and solve business problems, and act as a mentor and thought leader for the team
Dive into complex data sets to analyze trends and identify opportunities for improvement.
Support business stakeholders by providing ad-hoc analysis to help drive decision-making.
Collaborate cross-functionally with diverse teams (e.g. marketing operations, technology, merchandising, procurement, apparel design/production) to understand business objectives and design and implement data-driven solutions
Effectively communicate analytical solutions to non-technical stakeholders and senior leadership

What We're Looking For

Minimum 7 years' relevance experience in the industry (excluding internships/co-op/academic projects)
Experience developing multiple machine learning and statistical models and projects for real-world, business problems in productions
Strong algorithmic thinking and passion for empirical research to answer hard questions.
Ability to communicate complex quantitative analysis, analytic approaches and findings in a clear, precise, and actionable manner.
Designing and evaluating A|B experiments and monitoring key product metrics, understanding root causes of changes in metrics.
Working knowledge of big data processing technologies such as Hadoop, Hive, Pig and Spark.
Ability to use SQL to perform data analysis.
Highly effective in leading and working on multiple projects and delivering results on time effectively. Exceptional skills around project management (planning, resource allocation and execution) and attention to details. Exceptional leadership owning outcome and building work relationship cross function areas.
Passionate in learning about new eCommerce business and new data science technology to drive business impact. Demonstrated experience with online-marketing industry.

Things We Care About

·         Your career growth, your ideas, your work-life balance, and your well-being.
·         Diversity and Inclusion
·         Our Company Culture and Values
·         Providing outstanding Company Perks and Benefits

Company Overview

Fanatics is building a leading global digital sports platform to ignite and harness the passions of fans and maximize the presence and reach for hundreds of partners globally. Optimizing these long-standing partnerships, a database of more than 80 million global consumers and a trusted, recognizable brand name, Fanatics is expanding beyond its position as a global leader for licensed sports merchandise to now becoming a next-gen digital sports platform, featuring an array of offerings for fans across the sports ecosystem.

The Fanatics family of companies currently includes Fanatics Commerce, a vertically-integrated licensed merchandise business that has changed the way fans purchase their favorite team apparel, jerseys, headwear and hardgoods through a tech-infused approach to making and quickly distributing fan gear in today’s 24/7 mobile-first economy; Candy Digital, a digital collectibles company that is partnering with prominent sports properties, including MLB and MLBPA, to build an official NFT ecosystem; Fanatics Collectibles, through Topps as a cornerstone of the business, building a new model for the collectibles and trading cards hobby with top leagues and players association partners; and Fanatics Betting & Gaming, a mobile betting, gaming and retail sportsbook platform. Fanatics’ partners include all major professional sports leagues (NFL, MLB, NBA, NHL, NASCAR, MLS, PGA) and hundreds of collegiate and professional teams, which include several of the biggest global soccer clubs.

As a market leader with more than 9,000 employees, and hundreds of partners, suppliers, and vendors worldwide, we take responsibility for driving toward more ethical and sustainable practices. We are committed to building an inclusive Fanatics community, reflecting and representing society at every level of the business, including our employees, vendors, partners and fans. Fanatics is also dedicated to making a positive impact in the communities where we all live, work, and play through strategic philanthropic initiatives.

At Fanatics, we’re a diverse, passionate group of employees aiming to ignite pride and passion in the fans we outfit, celebrate and support.  We recognize that diversity helps drive and foster innovation, and through our IDEA program (inclusion, diversity, equality and advocacy) at Fanatics we provide employees with tools and resources to feel connected and engaged in who they are and what they do to support the ultimate fan experience.

www.fanaticsinc.com

Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud.  Fanatics never seeks payment from job applicants.  Fanatics recruiters will only reach out to applicants from an @fanatics.com or @fanatics.co.uk email address.  For added security, where possible, apply through our company website at www.fanaticsinc.com/careers

Fanatics is committed to responsible planning and purchasing (RPP) practices, working with its business partners across its global and multi-layered supply chain, to ensure that planning, sourcing, and purchasing decisions, along with other supporting processes, do not impede or conflict with the fulfillment of Fanatics’ fair labor practices.

NOTICE TO CALIFORNIA RESIDENTS/APPLICANTS: In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we collect include your name, government issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information.  We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future contract positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies.


Senior Data Scientist Customer Analytics

Our mission: to eliminate every barrier to mental health.

Spring Health is a comprehensive mental health solution for employers and health plans. Unlike any other solution, we use clinically validated technology called Precision Mental Healthcare to pinpoint and deliver exactly what will work for each person  — whether that’s meditation, coaching, therapy, medication, and beyond.

Today, Spring Health serves more than 200 companies, from start-ups to multinational Fortune 500 corporations, and is a preferred mental health provider to companies like General Mills, Guardian, Bain, and Instacart. We have raised over $300 million from prominent investors including Kinnevik, Tiger Global, Northzone, RRE Ventures, Rethink Impact, Work-Bench, William K Warren Foundation, SemperVirens, Able Partners, True Capital Ventures, and a strategic investor, Guardian Life Insurance. Thanks to their partnership, our current valuation has reached $2 billion.

We are looking for a Senior Data Scientist to join our Customer Analytics team. This is a new team driving the analytics and data product deliverables that enable our customers to understand the impact Spring Health is creating for their organization.

What you’ll be doing:

Be part of a team of innovative data scientists building the analytics story that demonstrates Spring Health's value to customers
Rapidly iterate with customers and our internal Sales and Customer Success teams to materialize that story in a scalable data product
Drive the technical roadmap for how these data products are built and deployed
Analyze data across all aspects of the member mental health journey to show our customers their return on investment and provide them with actionable insights on how to further improve member wellbeing

What we expect from you:

You are passionate about changing the face of mental health care and Spring Health’s mission to remove all barriers to mental health resonates with you
You have a degree in a STEM-related field and at least 5 years of commercial experience in a data science role
You are fluent in R or Python, have experience querying data with SQL, and are comfortable using Git
You have operated in production environments; bonus points for hands-on experience with CI/CD and build automation platforms
Bonus points for experience with API design and development
You are humble, highly motivated, and thrive in fast-paced environments
You are energized by mentoring others and enjoy defining processes that help to scale your team

Benefits of working at Spring Health:

Focus on total health including:
Generous medical, dental, vision coverage available day 1 + access to One Medical
Access to Spring Health’s platform which includes (10) free therapy sessions
Unlimited time off in addition to (12) paid holidays
16-18 weeks paid parental leave
$500 per year Wellness Reimbursement

Creating a culture you can thrive in:
Flexible remote and hybrid work style arrangements
Calm Fridays to encourage meeting & distraction free days
Donation matching to support your favorite causes
Employee resource groups

Supporting you financially through:
Competitive mix of salary and stock options
Employer sponsored 401(k) match

In addition to finding people who are truly excellent at what they do, we take our values at Spring Health seriously:

Members Come First We are genuine member advocates.

Move Fast to Change Lives We build with urgency and intention.

Take Ownership We extend trust and hold ourselves accountable.

Embrace Diverse Teams & Perspectives We find strength in the diversity of cultural backgrounds, ideas, and experiences.

Science Will Win We will achieve impact by innovation and evidence based frameworks.

Candor with Care We are open, honest and empathetic.

Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

#LI-remote
#LI-JA1


Data Scientist

About KOHO
KOHO is a quickly scaling FinTech company backed by leading investors and advisors from around the world. We started KOHO because we believe in doing two things:

Democratizing access to the best financial products and giving everyone a great financial foundation.

Since our journey began 6 years ago, we’ve raised more than $340M, grown the KOHO Collective to over 250 employees, and created accounts for more than 600,000 Canadians.

About the Role

We’re building a world-class financial product and we need someone to help take our data operations to the next level. Our team is growing fast, and we’re looking for a Data Scientist to join us. You understand the data-driven decision making needs of a high-growth organization and are focused on concrete outcomes and KPIs. You look for the highest leverage solution to the most important problems, through either pragmatic analysis, a predictive model, or unsupervised learning methods.

Please Note: This is a remote position and is available to those who are legally entitled to work in Canada.

What You'll Do

You will design and develop statistical and data science models which will be used to improve the financial lives of many Canadians.
You will assist with model deployment and monitoring, as well as re-training or updating when necessary
You will coordinate and maintain communication with business stakeholders on data science-related projects
You will create dashboards or conduct ad-hoc analysis to answer pertinent or urgent data-related questions
You will document results, insights and methodology, as well as contribute to internal knowledge sharing within the Data team through talks and presentations.

Who You Are

You have 3+ years of experience working with data and engineering teams
You have expert knowledge of Python and SQL
You are passionate about applying data science in financial services, with ideas on how and where to improve customer’s financial lives
You have experience developing models, deploying them in a production environment, and integrating them into SaaS infrastructure
You have experience with cloud-based platforms such as AWS or GCP
You have strong communication skills, both written and oral

Joining the (lovely!) KOHO Team
We invest time and resources into making sure KOHO is as good as the people we hire. Here are some of the reasons we attract the best people:

• Balance Your Life - Generous PTO, generous vacation, and a lifestyle spending account

• Work Anywhere - Permanently remote and $1,000 to set up your home office

• Level Up - Access to an in-house certified performance coach

• Reach Your Goals - Salary assessments twice a year, annual training allowance
• The KOHO Culture - We have won 6 "Great Place to Work ®" awards since 2019

The KOHO culture is one of collaboration, creativity, and diverse perspectives. We are committed to building and fostering an inclusive, accessible environment for everyone. If you have any questions, concerns, or requests regarding accessibility needs, please contact peopleaccessibility@koho.ca and the People and Culture team will be happy to help.

#LI-Remote #LI-DP1


Data Scientist

About Mynd:
Mynd is a tech-enabled real estate company serving an $85B+ property management and real estate investment market. In the past few years, financial services disruptors like E-Trade, Schwab, and Robinhood have unlocked access to the stock market, minting a new generation of self-service investors. Yet real estate remains the most powerful tool for building generational wealth.
At Mynd, we’re on a mission to create happy homes and sustainable investments by making single-family residential real estate as accessible and effortless as other types of investments. Investing in real estate can be intimidating, especially for first-time buyers. Moreover, many potential investors don’t want to invest in real estate in their geographic area or have been priced out of competitive big city housing markets. With operations in 25 markets across the US and real-time insights via our platform, we remove the time, communication, and geographic barriers traditionally associated with real estate. Investors can now find, purchase, rent, manage, and sell single-family rental properties 100% remotely.
Mynd is Best Places to Work certified, a Built In SF Best Places to Work 2022 winner, and was named the #1 fastest-growing East Bay company by the San Francisco Business Times in 2021. We’ve attracted talent from Starwood Waypoint Homes, McKinsey, BCG, Compass, Better, One Medical, Zillow, Upwork, WeWork, and Facebook. We’re backed by top VCs, including Lightspeed, Canaan, Jackson Square, and QED, and just announced a $5 billion deal with Invesco Real Estate that will make us the largest buyer of single-family rental homes in the country. Join us!
About the role:

As a data scientist at Mynd, you will be part of a high-performing team building predictive models for a full-stack real estate business. You will leverage machine learning and data engineering tools, and apply operations research and statistical methods to solve complex challenges like vacancy rates estimation, rent predictions, price valuations, customer churn, routing problems etc. that have tangible impact on the company’s growth and bottom line.

This high visibility role offers the opportunity to collaborate closely with cross-functional business partners and present solutions to broad audiences as you drive strategic business decision making and help build the company’s infrastructure and tech stack.

Responsibilities

Proactively conduct hypothesis-driven deep dives, extracting and analyzing datasets
Reasoning from first principles, apply a variety of statistical and mathematical modeling techniques to research and understand patterns
Build robust models that predict metrics of interest with their corresponding accuracy
Collaborate with cross functional stakeholders
Design and analyze A/B experiments and other testing methods
Effectively communicate results to diverse audiences
Work with engineers to ensure data accuracy and best practices

Qualifications

Masters/Ph.D. degree in a quantitative field (mathematics, statistics, finance, physics, etc.)
2-4 years of experience involving analytical work and complex problem solving
Proficiency in a scripting language (Python) and a database querying language (SQL)
Proven ability to succeed in both collaborative and independent work environments.
Strong intellectual curiosity and critical-thinking skills
Solid written and verbal communication skills

Being authorized to work in the U.S. is a precondition of employment and we are unable to sponsor H1-B Visas at this time.
Any offer of employment is conditioned upon the successful completion of a background investigation.
Covid-19:
Mynd is closely following the 2019 Novel Coronavirus Disease (COVID-19) and implementing processes that promote the safety of our employees, candidates, owners, residents and communities.  The health and safety of our employees and contractors around the world continues to be our top priority as we face the challenges associated with COVID-19.  Leaders across Mynd meet regularly to consider the evolving situation and are doing all we can to keep our teams healthy.
At Mynd, we offer a robust, competitive & unique benefits package:

Unlimited time off
Paid Parental Leave
Cash to purchase your own investment property through our “Project Investor Myndset” program
401k + Match
Wellness, home office, and cell phone subsidies
Volunteer time off
Robust health, dental, vision insurance, and more
Sabbatical program

At Mynd, we encourage all of our team members to:

Be Myndful
Always Be Entrepreneurial
Earn Trust
Play Team First
Be an ‘A’ Player
Think Like An Investor

As part of our dedication to diversity, Mynd is an Equal Opportunity Employer. Individuals seeking employment at Mynd are considered without regard to race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, citizenship status, or any other legally protected category.
#LI-REMOTE
#LI-LM1


Data Scientist Advisor Dataworks

Company: FedEx ServicesJob Title: Data Scientist Advisor - Dataworks (Remote)Job Requisition Number: RC507298Category: Decision Science & AnalyticsPay Type: ExemptLocations:RemoteUnited States
Colorado Residents Only – Compensation: Monthly Salary $8130.79 - $13480.12The estimate displayed represents the typical salary range or starting rate of candidates hired in Colorado. Factors that may be used to determine your actual salary may include your specific skills, your work location, how many years of experience you have, and comparison to other employees already in this role. This information is provided to applicants in accordance to the Colorado Equal Pay for Equal Work Act.
Summary:Takes ownership and responsibility over major data science initiatives. Advances Dataworks’ broad capabilities to use and deploy cutting edge data science and machine learning tools and methods in Dataworks projects, platforms and products. Simultaneously works to keep Dataworks on the bleeding edge by understanding and implementing the very latest and most sophisticated methods and tools for grappling with extremely large scale and complex problems. Leads modeling and development to support operations initiatives, strategic programs and new products/solutions, through the use of advanced descriptive, diagnostic, predictive, prescriptive and ensemble modeling, advanced statistical techniques, and complex mathematical modeling/tool development. Develops solutions supporting the movement of data and information assets following API-First / Service-Oriented Architecture principles. Leverages proficiency in ML Ops, CI/CD processes and machine learning / data engineering practices to ensure sustainable model development and provide recommendations on highly complex problems. Mentors less senior team members to drive results. Leads and works with cross-functional teams.The Data Scientist Advisor plays a pivotal role, focused on creating and driving data science innovation within Dataworks, helping define and build the Dataworks organization, and enabling the delivery of key business initiatives. S/he acts as a “universal translator” between IT, business, software engineers and data engineers, collaborating with these multi-disciplinary teams. The Data Scientist Advisor will contribute to the creation and adherence of technical standards for data science and machine learning, including the design and construction of reusable data assets. S/he will work with large data sets and solve difficult analytical problems, applying advanced methods. S/he will lead the creation and implementation of solutions from concept to production, using current and emerging technologies to evaluate trends and develop actionable insights and recommendations. Day-to-day, s/he will be deeply involved in code reviews and large-scale deployments. S/he will also provide mentorship and guidance to junior data scientists to support the continued training and up-skilling of the Data Science team.Essential Job Duties & Responsibilities:
Understanding in depth both the business and technical problems Dataworks aims to solveExploring data and crafting models to answer core business problems that may not have a common blueprintLeading the invention of new approaches and algorithms for tackling data intensive problemsPioneering R&D efforts to rapidly understand and assimilate state of the art methodsScaling up from “laptop-scale” to “cluster scale” problems by leading efforts to standardize and industrialize solutionsDelivering tangible value very rapidly, collaborating with diverse teams of varying disciplinesInteracting with senior technologists from the broader enterprise and outside of FedEx (partner ecosystems and customers) to create synergies and identify opportunities for improvementCodifying best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases
Skill/Knowledge Considered a Plus:
Technical background in computer science, data science, machine learning, artificial intelligence, statistics or other quantitative and computational scienceA compelling track record of Data Science / Engineer expertise, designing and deploying large scale technical solutions, which deliver tangible, ongoing value
Direct experience having built and deployed robust, complex production systems through Cloud technologies that implement modern, data scientific methods at scaleAbility to context-switch, to provide support to dispersed teams which may need an “expert hacker” to unblock an especially challenging technical obstacleDemonstrated ability to deliver technical projects with a team, often working under tight time constraints to deliver valueAn ‘engineering’ mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impactAbility to work with distributed teams on code-based deliverables using version control
Solid theoretical grounding in the mathematical core of the major ideas in data scienceExpert level understanding of a class of modelling or analytical techniques, often supported by Masters- or Doctoral-level research in the subjectDeep fluency in the mathematical ‘primitives’ and generalizations of data science – e.g., expertise in Linear Algebra, and Vector CalculusUse of agile and devops practices for project and software management including CI/CD; process improvement and quality management experience (e.g., Lean, Six Sigma, QDM expert)Demonstrated expertise in working with some of the following common languages and tools:SKLearn, XGBoost, Tensorflow, Pytorch, MLlib and other core ML frameworksPython, Scala, R, C++, Java and other modern programming languagesMLFlow, Databricks, Spark, Kafka, Hive, Hadoop and other data tools and frameworksCPLEX, Gurobi and other similar optimization modeling packagesCPLEX, Gurobi and other similar optimization modeling packages
Minimum Qualifications:Master’s Degree or equivalent in computer science, operations research, statistics, applied mathematics or related quantitative discipline. Directly related PhD preferred. Six (6) years’ work experience in applying data science (machine learning, artificial intelligence, statistical analysis), operations research (optimization, algorithms, mathematical modeling), and data analytics modeling to decrease cost, increase profitability, and improve customer experience. Extensive knowledge in advanced data science, statistical analysis, and machine learning methods, including the iterative development of analysis pipelines to provide insights at scale. Extensive experience conducting end-to-end analyses, including data gathering and requirements specification, processing, analysis and presentation. Strong familiarity with the transportation industry, competitors, and evolving technologies. Experience providing leadership in a general planning or consulting setting. Experience as a leader or a senior member of multi-functional project teams. Strong human relations, organizational / time management, project management, and software development skills. Excellent interpersonal skills and the ability to present and communicate effectively to executive audiences.
Domicile / Relocation Information:This position can be domiciled anywhere in the United States.The ability to work remotely within the United States may be available based on business need.Relocation assistance may be available based on business need.
Notice: Sponsorship for this position is not available.
Application Criteria / Deadline:Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire.
Employee Benefits: Medical, dental, and vision insurance; paid Life and AD&D insurance; tuition reimbursement; paid sick leave; paid parental leave, paid vacation, and additional paid time off; geographic pay ranges; 401K with Company match and incentive bonus potential; sales incentive compensation for selling roles.

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

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


Director Pricing Data Science

Why Divvy?

At Divvy Homes, we're building an on-ramp to homeownership – one that's more flexible, more affordable, and an all-around better fit for today’s American family – and it’s working.

We’re searching for a Director to lead Pricing Data Science at our growing company. Every day, Divvy must determine offer prices, rental prices, and buyback prices for thousands of homes. We are seeking an experienced data science leader to guide the team that builds and improves the models powering these decisions.

In this role you will be responsible for setting and executing the overall strategic vision for pricing, finding new sources of data and modeling approaches to improve performance, communicating regularly with executives and stakeholders, hiring and mentoring IC data scientists, and sometimes contributing to IC work yourself. We’re looking for people who feel comfortable diving into difficult problems, getting their hands dirty, and getting results. You will report directly to our VP of Data Science & Analytics.

Skills & Experience

6+ years of experience working in data science, with 2+ years in management
Highly skilled in R, Python, or both
Previous experience working on an Automated Valuation Model (AVM) is preferred
Experience growing a team
Excellent communication for both technical and non-technical audiences

Perks

Competitive salary + equity
Full benefits (medical, dental, vision, 401k, commuter)
Position can be 100% remote, or on-site in our SF or Denver offices
Diverse, smart, and kind co-workers

Commitment to Diversity & Inclusion

Divvy Homes is committed to building a diverse and inclusive team. We enthusiastically encourage individuals from a variety of lived experiences to reach out.


Director Customer Data Science

Why Divvy?

At Divvy Homes, we're building an on-ramp to homeownership – one that's more flexible, more affordable, and an all-around better fit for today’s American family – and it’s working.

We’re searching for a Director to lead Customer Data Science at our growing company. Every day, for thousands of customer applications, Divvy must determine which of our products is most appropriate, underwrite potential risks, and set appropriate home shopping budgets. For existing customers, we must better understand drivers of success so that we can pull levers that help customers build equity toward homeownership. We are seeking an experienced data science leader to guide the team that owns the data science models powering these decisions.

In this role you will be responsible for setting and executing the overall strategic vision for customer data science, understanding tradeoffs between information and friction in the underwriting process, finding new sources of data and modeling approaches to improve performance, communicating regularly with executives and stakeholders, hiring and mentoring IC data scientists, and sometimes contributing to IC work yourself. We’re looking for people who feel comfortable diving into difficult problems, getting their hands dirty, and getting results. You will report directly to our VP of Data Science & Analytics.

Skills & Experience

6+ years of experience working in data science, with 2+ years in management
Highly skilled in R, Python, or both
Previous experience working in underwriting or consumer credit is preferred
Experience growing a team
Excellent communication for both technical and non-technical audiences

Perks

Competitive salary + equity
Full benefits (medical, dental, vision, 401k, commuter)
Position can be 100% remote, or on-site in our SF or Denver offices
Diverse, smart, and kind co-workers

Commitment to Diversity & Inclusion

Divvy Homes is committed to building a diverse and inclusive team. We enthusiastically encourage individuals from a variety of lived experiences to reach out.


Machine Learning Scientist

We take building our team and culture seriously, and how you do your work will be critical to the company we end up building. It’s important that we combine scientific ingenuity, engineering brilliance, and practical business judgement into the products that we bring to market.

We are looking for an individual with a winning mix of creative energy, scientific innovation, and a practical mindset that is focused on building technology that is valuable to Overjet customers.

You are joining Overjet at an interesting time as it is in the beginning stages of delivering revenue generating products to large sophisticated customers, while still being a small (sub 50 person) team where your contributions to the business will be outsized relative to larger more mature business. To be successful and happy at Overjet you will need to flourish in a fast-paced startup environment.

You will

Develop algorithms and methods for disease detection, classification, and characterization from x-rays

Rapidly build proof-of concept prototypes and show what is possible with our products

Focus on scalability and productionalization of the models

Provide input and set boundary constraints for the machine learning infrastructure needed to scale our products

Listen to the go-to-market team and ensure we are building product that fits demonstrated market needs

You are

Results oriented - you want to see your work impact the customer

Ingenuous  - you can cleverly set up MVPs that work on the critical KPIs

Endlessly curious  - in an earlier life you annoyed your family with one word: “Why”

An experimentalist who learns by doing - You don’t abstractly wonder what is possible; rather, you rapidly test ideas and learn and iterate from feedback mechanisms

You have experience in

Prototyping computer vision models (CNNs in particular) - you have built both low and high fidelity concepts

Productionalizing CNNs - You don’t stop at the prototype.  You find it equally stimulating to mature the prototype at scale

PhD or MS in Computer Vision, Machine Learning or related technical fields
Knowledge of applied mathematics and numerical optimization

Applicants must be currently authorized to work in the United States.


Data Scientist

The world’s first customer platform helping internet businesses accelerate growth☝
Intercom is the only suite of customer messaging products that drives growth at every stage of the customer lifecycle—across acquisition, engagement, and support. Today more than 25,000 businesses use Intercom to connect with a billion people worldwide.
Join the company helping businesses grow revenue through live chat, and so much more.
What's the opportunity? 🤔
The Research, Analytics & Data Science (RAD) team at Intercom use data and insights to drive evidence based decision-making. We're a team of data scientists and product researchers who use data — both big and small — to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value to our customers. If you get really excited about asking the right questions, exploring patterns in data and surfacing actionable insights that drive strategic decisions, then this role is for you.
Data Scientists in RAD partner with teams across R&D to help Intercom make sense of our users, our products and our business, using metrics and data. This role will enable you to drive key data projects that directly impact our customers and millions of end users who communicate via our messaging platform daily.
What will I be doing? 🚀

You’ll partner with product teams to help them identify important questions, answer those questions with data and ultimately influence their product roadmap
You’ll partner closely with product researchers to build a holistic understanding of our customers, our products and our business.
You’ll build and automate actionable models and dashboards
You’ll craft data stories and share your findings and recommendations across R&D and the broader company

What skills do I need? 📖

1-2 years experience working with data to solve problems and inform decisions
Examples of initiating and delivering actionable analyses and insights that drove tangible impact
Good communication skills (technical and non-technical) and a focus on driving impact
Strong growth mindset and sense of ownership. Innate passion and curiosity

Bonus skills & attributes 🙌

Experience with BI/Visualization tools like Tableau, Superset and Looker
Experience with data modeling and ETL pipelines
Experience working with product teams

Benefits 😍
We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! :)

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Open vacation policy and flexible holidays so you can take time off when you need it
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
MacBooks are our standard, but we’re happy to get you whatever equipment helps
you get your job done

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organisation. We're committed to an inclusive and diverse Intercom! We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.


Staff Principal Data Scientist

The world’s first customer platform helping internet businesses accelerate growth☝
Intercom is the only suite of customer messaging products that drives growth at every stage of the customer lifecycle—across acquisition, engagement, and support. Today more than 25,000 businesses use Intercom to connect with a billion people worldwide.
Join the company helping businesses grow revenue through live chat, and so much more.
What's the opportunity? 🤔
The Research, Analytics & Data Science (RAD) team at Intercom use data and insights to drive evidence-based decision-making. We're a team of data scientists and product researchers who use data — both big and small — to build customer empathy, drive product strategy and shape products that deliver real value to our customers. If you get really excited about asking the right questions, exploring patterns in data and surfacing actionable insights that drive strategic decisions, then this role is for you.
Staff/Principal Data Scientists in RAD work on Intercom’s most strategic programs. This role will enable you to drive and influence projects that directly impact our customers and millions of end users who communicate via our messaging platform daily.
What will I be doing? 🚀

You’ll be the lead data scientist for Intercom’s most important product initiatives. You’ll build relationships and collaborate with executives and principals across product, design and engineering to shape our product strategy. You’ll drive decisions on which projects to prioritise and invest in and you’ll manage collaboration with finance, marketing and sales to determine how these projects impact Intercom’s commercial performance.

You’ll build and automate actionable models and dashboards

You’ll craft data stories, share your findings and advocate for your recommendations across the company

You’ll design, build and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables.

You’ll propose and lead projects to improve the tools and infrastructure that data scientists use to do their work.

You’ll be part of the RAD leadership team, where you’ll help improve how the RAD org operates

You’ll mentor and coach other data scientists and product researchers in RAD

What skills do I need? 📖

8+ years experience working with data to solve problems and drive evidence-based decisions

Demonstrated ability to influence and guide product strategy with data

Excellent communication skills (technical and non-technical) and a focus on driving impact

Experience mentoring other data scientists

Strong growth mindset and sense of ownership. Innate passion and curiosity

Excellent SQL skills

Strong proficiency with a scientific computing language (R or Python)

Proficiency with BI/Visualization tools like Tableau, Superset or Looker

Bonus skills & attributes 🙌

Experience working on a B2B SaaS product

Experience working with Go To Market teams (Marketing, Sales, Finance)

Experience with data modeling and ETL pipelines

Experience partnering with Product Research teams

Benefits 😍
We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! :)

Competitive salary and equity in a fast-growing start-up

We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen

Regular compensation reviews - we reward great work

Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents

Open vacation policy and flexible holidays so you can take time off when you need it

Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones

MacBooks are our standard, but we’re happy to get you whatever equipment helps

you get your job done

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organisation. We're committed to an inclusive and diverse Intercom! We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.


Data Scientist

Welcome to Planet. We believe in using space to help life on Earth.
Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.
Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles.
As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.
We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.
Planet is headquartered in San Francisco, California, Earth.
About the Role:
Planet is looking for an entrepreneurial data scientist. This role reports to the Head of Analytics and provides quantitative insights to support Planet’s product and technology teams (and beyond). Data science at Planet is not just about making it easy to understand what’s already happening; it’s about strategically understanding opportunities and influencing our roadmap through quantitative analysis of our products, customers, and market.
Impact You’ll Own:

Be the champion for the customer, from identifying their challenges and opportunities in data, to highlighting potential solutions.
Collaborate with your team and cross-functional teams across product, engineering, design, and more to understand and optimize Planet’s suite of products
Catalyze innovation by identifying and analyzing opportunities for new products and strategies

What You Bring:

3+ years of experience in data science supporting commercial or government software products
Strong skills in modeling, analysis, and/or hypothesis testing using statistical techniques and data visualization
Experience with SQL, scripting languages like Python, and business intelligence systems
A passion for Planet’s mission to use space to help life on Earth

What Makes You Stand Out:

Experience with world-class data science teams working in fast-paced, customer-centric cultures
A growth mindset and a desire to learn quickly
Ability to communicate effectively to technical and non-technical audiences.
Experience with cross-timezone team coordination
Proven problem solving skills

Benefits While Working at Planet:

Comprehensive Health Plan
Wellness program and onsite massages in specific offices
Flexible Time Off
Recognition Programs
Commuter Benefits
Learning and Tuition Reimbursement
Parental Leave
Offsites and Happy Hours
Volunteering Benefits

Some Press About Us:
Our CEO, Will Marshall featured on TED and featured in a Planet Blog
“Planet: Bringing Space Back Down to Earth”
Tiny, privately owned satellites are changing how we view the Earth features in NBC News
“Planet And Rocket Lab Create Mission Patch To Honor Women In Aerospace” —Planet Blog
Why we care so much about Belonging.
We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate  north star of Belonging, dreaming big as we approach our ongoing work with diversity, equity and inclusion.  If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply!  At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description.  We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts.  We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride.
EEO statement:
Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.
Accommodations:
Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the interview process, please call Planet's front office at 669-214-9404 or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.
Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
Compensation (only applicable for Colorado applicants):
The base pay range targeted for this position in Colorado is: $138,600 - $211,500. This role is eligible for equity.
The actual offer, including the compensation package, is determined based on multiple factors, including experience, location, and other business considerations.
Planet is registered as an employer in many, but not all, states. If you are not able to work from a state where Planet is registered, you will not be eligible for employment.
#LI-REMOTE
#LI-OT1


Data Scientist Ii

👋  Hi, I’m John - Data Team Manager here at Dwolla.  I’m looking for an analytical, empathetic data scientist who loves diving deep into data preparation and analytics while working in a fast-paced, collaborative, diverse Engineering team.

Here is what you can expect to work on in this critical role:
You’ll be responsible for the collection, cataloging, analysis and interpretation of data for the business.  This includes optimizing the achievement of business objectives through developing and presenting rigorous analyses of information.

You’ll also develop approaches to generate and statistically validate hypotheses about critical metrics and indicators; design and implement algorithms to generate reporting and alerting (potentially client-facing or leveraging machine learning), and collaborate with our data analysts & engineers, Salesforce administrators, web developers, and Product engineers.

How do our Data Scientists spend their time?
You can expect to spend about 80% of your time on data preparation and clean-up (roughly 20% data collection, 50% cleaning and organizing data and 10% data catalog implementation and maintenance).  The remaining 20% of your time will be spent with data modeling, mining and analysis (building training sets, mining data patterns and refining algorithms).

Our team values collaboration, a passion for learning and a desire to become a master of your craft.  We thrive in asynchronous communication.  You will have a lot of support from leadership when you communicate proactively with detailed information about any roadblocks you may encounter.

Qualities of Data Scientists Who Thrive in This Role
🔥 You are a driven, self-starter type of person who isn’t afraid to dig for answers, stays up-to-date on industry trends and is always looking for ways to enhance your knowledge (yes, industry-related podcasts count! 🎧) .

🖥  Experience with Python, Pandas, sklearn, Jupyter, SQL and AWS would be amazing!

🏆  Although the nature of this work is fairly individualist, the ability to collaborate with internal stakeholders is vital (and we really love it when team members are active participants in our meetings).

What’s expected of a Data Scientist II at Dwolla?

Collaborate with stakeholders to identify and pursue opportunities to utilize data to optimize business processes and systems.
Develop reliable and defensible analysis methodologies, models, and algorithms.
Develop forecasts to optimize business performance, augment revenue generation, reduce risk, and improve the customer experience.
Design and implement data visualizations for use by business stakeholders.
Ensure appropriate integrity, security, and privacy of Dwolla data and resulting analytic products.
Collaborate with Data Engineers to build pipelines supporting the overall data strategy.
Collaborate with Data Analysts to incorporate statistical principles and tests into reports and dashboards.
Support initiatives to incorporate data utilization into Dwolla product offerings.
Implement and maintain Dwolla’s data catalog

What are the preferred qualifications for this position?

Experience developing analytical approaches to find defensible and reliable answers to complex questions.
Experience creating visualizations and reports to present complex answers in a stakeholder-friendly manner.
Experience with Python and common data science-related libraries such as Pandas, sklearn, Jupyter, and a visualization library such as Matplotlib. Experience with common Machine Learning algorithms and Python libraries is a plus.
Experience with relational databases and SQL queries, performing complex queries across multiple tables to extract information.
Experience with AWS data-related services (such as RDS, Aurora, Glue, S3, Athena, RedShift, SageMaker, and Quicksight) is a plus.
Experience developing tools and methodologies for automating data collection & cataloging.
Detailed knowledge of statistical concepts (regressions, statistical tests, distributions, etc) and application of the scientific method.
Knowledge of software engineering best practices as they apply to data extraction, conditioning, and analysis.
Strong analytical thinking and troubleshooting skills.
Strong written and verbal communication skills.
Typically requires 2+ years of experience in a closely-related role. Education and certifications are valued and may contribute towards this criteria as applicable.

When you join the Dwolla team, you get these great perks:
⭐ Remote-first work environment (our employees can work from anywhere in the US or from our Des Moines office)

❗❗**Please note:  While we support a remote-first work environment, we are currently only able to offer employment to candidates who live in the United States**

⭐ Remote-first home office stipend (and paid parking for our office-loving employees)

⭐ Stock options

⭐ 401k (with 4% company match)

⭐ Unlimited Paid Time Off (with a mandatory PTO minimum of 5 days every 4 months 😎)

⭐ 12 weeks paid parental leave

⭐ Medical, dental and vision insurance (Health plan options include a free Peloton app & Apple Fitness membership)

⭐ Long-term disability insurance

⭐ Life insurance

⭐ Flexible Spending Account

⭐ Dedication to supporting mental health via paid subscription to Headspace

⭐ Casual dress

Some Fine Print
At Dwolla, we value diversity and hold the core belief that the best teams are built by the inclusion of diverse ideas, experiences, and people.

If you require a reasonable accommodation or assistance for any part of the interview and employment process, please contact Katie Spellman (Talent Recruiter) at kspellman@dwolla.com  and let us know the nature of your request.

If offered this position, you will be asked to complete an employment and credit verification authorization form (which allows us to run a background check) as part of our employment process. By submitting this application, you agree that Dwolla may share applicant information with a third party for communication services.


Data Scientist

Data Scientist
Location:  Seattle & Bay Area
Lacework: Lacework is the data-driven security platform for the cloud. The Lacework Cloud Security Platform, powered by Polygraph, automates cloud security at scale so our customers can innovate with speed and safety. Polygraph is the only security solution that can collect, analyze and accurately correlate data across an organization’s AWS, Azure, GCP, and Kubernetes environments, and narrow it down to the handful of security events that matter. Customers all over the globe depend on Lacework to drive revenue, bring products to market faster and safer and consolidate point security solutions into a single platform. Founded in 2015 and headquartered in San Jose, Calif, with offices all over the world, Lacework has raised $600M in funding and is backed by leading investors like Sutter Hill Ventures, Altimeter Capital, Liberty Global Ventures and Snowflake Ventures, among others. The company is in the hyper-growth phase and is being led by an experienced team who collectively have decades of experience taking nascent companies to hyper-scale and building robust & profitable businesses.

The Role: We are looking for a Data Scientist to help bootstrap a newly formed team in the Product & Engineering org.  This is a hands-on role that would play a critical role in building the team from the ground up and help shape direction and decisions that are going to directly impact the trajectory of the company. This individual would be a leader in the definition and development of the data science & data engineering ecosystem at Lacework and be an integral part of product  and engineering teams to identify how data science & data engineering can be applied to scale, improve & optimize our products and engineering stack

Employ languages and tools like R, SQL, Python and others to drive efficient data exploration and modeling
Build actionable insights and models to help drive critical decisions
In partnership with engineering, product and business teams, build roadmaps & goals and execute against them while balancing speed, accuracy and precision
Actively participate in recruiting other Data Scientists and Data Engineers and mentor new members of the team
Build strong cross functional partnerships
Demonstrate good communication skills and present work to company leadership and at company-wide events
Strive to use readily available, general and scalable methodologies and tools; stay current with latest tools and techniques

Minimum Qualifications

Degree in quantitative field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research or other related field)
4+ years experience doing quantitative analysis including experience with SQL, other programming languages (e.g, Python) or statistical/mathematical software (e.g, R, SAS, MATLAB)
4+ years of experience with statistical and machine learning methods such as forecasting, time series analysis, experimentation, hypothesis testing, classification, clustering, anomaly detection or regression analysis
3+ years experience developing data pipelines and building machine learning models
Ability to deal with ambiguity, drive projects / analyses to conclusion with limited supervision and communicate analysis in a clear, concise and actionable manner

Preferred Qualifications

Advanced degree (Master’s or PhD or equivalent experience) in quantitative field
Experience with cloud platforms like Snowflake, AWS, GCP, etc.
Experience working in Cloud Security or Infrastructure Security
Experience recruiting and mentoring Data Scientists and Data Engineers

#LI-JG1


Senior Data Scientist Payments Fraud

Lime is the world's largest shared electric vehicle company. We are on a mission to build a future of transportation that is shared, affordable and carbon-free. Named a Time 100 Most Influential Company in 2021, Lime has powered more than 250 million electric bike and scooter rides in more than 200 cities across five continents, saving an estimated 60+ million car trips. Learn more at li.me!

Data is at the core of every decision at Lime - from designing vehicles to deploying them, enhancing the user’s experience, optimizing our supply chain or warehouse operations. Every team at Lime engages with Data Science & Analytics. Our goal is to provide data insights and models that drive better business outcomes.

We are looking for intellectually curious, highly motivated individuals to join our Data Science & Analytics team. You will partner with our Engineering, Product, and Operations teams to identify critical issues to the business, develop a deep understanding of them, and design scalable solutions. You will leverage your quantitative and modeling skills to transform signals into insights, and insights into actions. You should have strong analytical insights, excellent communication abilities, and a knack for working across teams in a fast-paced environment.

What You'll Do:

Collaborate with Product, Engineering, Operations and Finance to optimize the revenue loss due to fraud, abuse (promotions, referrals, refunds etc.) and carry out deeper analysis to optimize the payments process (fee, latency, payment service provider waterfall etc.)
Develop machine learning models and rules to detect fraud and abuse
Carry out deeper analysis, build dashboards to track key metrics
Develop instrumentation to track progress against key business objectives
Design, instrument, and analyze experiments to quantify the impact of product and operation changes and  produce reliable insights that drive business efficiency
Develop production-ready code and/or partner with engineering to deploy models/rules in the production environment
Contribute to fraud and abuse related incident response
Optimize the tradeoff between fraud and abuse prevention vs good user experience

About You:

A PhD or MS in a quantitative field (e.g., Operations Research, Economics, Statistics, Sciences, Engineering)
5+ years of full-time work experience as a Data Analyst / Data Scientist at a technology or payments company
Advanced proficiency in SQL and a data manipulation language, such as R or Python
Hands-on experience with data pipelines, ETLs, and data visualization tools
Solid knowledge of statistical analysis techniques such as hypothesis testing and regression
Strong knowledge and hands-on experience on machine learning, or statistics and experimentation
Strong communication skills with a consistent record of collaborating across a wide variety of teams and disciplines in a dynamic environment
The ability to communicate results clearly to technical and non-technical audiencesPrior knowledge/experience on payments and fraud mitigation preferred

What We Offer:

Opportunity to revolutionize transportation in cities around the world with the leader in urban mobility solutions.
Scale with a rapidly growing organization, with significant opportunity for growth.
Play a role in the transformation of urban mobility and sustainability.
Work with a team of successful, fun and motivated people.
Competitive salary and benefits.

In accordance with Colorado State Law, if the candidate selected for this job resides in Colorado, the anticipated minimum salary will be $106,000,plus bonus and equity (when eligible), as well as benefits. Exact salary will ultimately depend on the candidate’s qualifications. In addition to base salary, this role will be eligible for a variable bonus based on a combination of management discretion and employee performance.

Lime is an Equal Opportunity Employer, but that’s only the start. We strive to build a workforce composed of individuals with different backgrounds, abilities, identities, and mindsets—not just to do great work, but to become a better company and grow as individuals.


Senior Data Scientist Machine Learning

Lime is the world's largest shared electric vehicle company. We are on a mission to build a future of transportation that is shared, affordable and carbon-free. Named a Time 100 Most Influential Company in 2021, Lime has powered more than 250 million electric bike and scooter rides in more than 200 cities across five continents, saving an estimated 60+ million car trips. Learn more at li.me!

Data is at the core of every decision at Lime - from designing vehicles, to deploying them, enhancing the user’s experience, optimizing our supply chain or warehouse operations. Every team at Lime engages with Data Science & Analytics. Our goal is to provide data insights and models that drive better business outcomes.

We are looking for intellectually curious, highly motivated individuals to join our Data Science & Analytics team. You will partner with our Engineering, Product, and Operations teams to identify critical issues to the business, develop a deep understanding of them, and design scalable solutions. You will leverage your quantitative and modeling skills to transform signals into insights, and insights into actions. You should have strong ML or optimization modeling skills, analytical insights, excellent communication abilities, and a knack for working across teams in a fast-paced environment.

This position is a US based remote position. The individual hired into this role must be comfortable supporting multiple time zones across the globe with primary support to Pacific Time.

What you'll do:

Build models using Python that help optimize business decisions. Examples include demand forecasting, routing and labor pricing.
Develop a deep understanding of a particular problem space that’s relevant to the business and propose solutions to improve it
Guide product and strategic decisions with experimentation and in-depth analyses

About you:

MS or PhD in Economics, Statistics, Applied Mathematics, or other quantitative fields
4+ years of industry experience as a Data Scientist
Hands-on Machine Learning model development experience using Python is required
Hands-on experience with SQL
Hands-on experience with data pipelines and visualization tools
Deep and practical understanding of probability and statistics, including causal inference
Solid understanding of Machine Learning algorithms - practical experience building ML models preferred
Solid understanding of optimization algorithms - practical experience around vehicle routing problem preferred

What We Offer:

Opportunity to revolutionize transportation in cities around the world with the leader in urban mobility solutions
Scale with a rapidly growing organization, with significant opportunity for growth
Play a role in the transformation of urban mobility and sustainability
Work with a team of successful, fun and motivated people
Competitive salary and benefits

In accordance with Colorado State Law, if the candidate selected for this job resides in Colorado, the anticipated minimum salary will be $106,000,plus bonus and equity (when eligible), as well as benefits. Exact salary will ultimately depend on the candidate’s qualifications. In addition to base salary, this role will be eligible for a variable bonus based on a combination of management discretion and employee performance.

Lime is an Equal Opportunity Employer, but that’s only the start. We strive to build a workforce composed of individuals with different backgrounds, abilities, identities, and mindsets—not just to do great work, but to become a better company and grow as individuals.


Staff Data Scientist Metrics Intelligence Slack

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryProducts and TechnologyJob DetailsOur Research & Analytics team is hiring a Staff Data Scientist to join our Metrics Intelligence working group! The Metrics Intelligence working group is focused on increasing the actionable insights gained from understanding and tracking key metrics.In this role, you will implement scalable approaches to analyzing, tracking, alerting, and reporting on a broad set of strategically important product and business metrics. You will work with data scientists and business analysts (from various business groups) to understand, synthesize, and communicate evolving trends in product usage. You will work with senior leaders throughout the company to inform and influence decisions based on your understanding of metrics trends.Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. If this sounds like a good fit for you, why not say hello?What you will be doing
Conducting regular investigations into trends in broad Slack usage
Synthesizing and communicating key insights from regular investigations to a broad audience of stakeholders, including executive leadership
Implementing scalable methods for tracking and generating insights from a large and evolving portfolio of product-based KPIs
Applying various data science methods to understanding core aspects of our product, users, and business
Promoting effective usage of metrics in the internal operations of Slack’s product team
What you should have
5+ years of professional industry experience doing quantitative analysis
An advanced degree (MS, PhD) in a quantitative field (e.g. Computer Science, Economics, Physics) is a plus
A proven record of informing strategic business decisions, ideally in a product organization
Experience analyzing, modeling, and forecasting trends in business metrics or other time series data
Experience communicating findings from data analysis to an executive audience
Experience with SQL and at least one general programming language (e.g. Python)
An advanced understanding of statistics and analytical best practices
For Colorado-based roles: Minimum annual salary of $150,200. You may also be entitled to receive bonus, restricted stock units, and benefits. More details about our company benefits can be found at the following link: https://www.getsalesforcebenefits.com/ AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org.Salesforce welcomes all.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.


Senior And Staff Data Scientist Virtual Hq Slack

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryProducts and TechnologyJob DetailsWe are hiring experienced data scientists for our Virtual HQ product team. This cross-functional team is building features within Slack to allow companies to be more productive while embracing a fully-remote or hybrid working model. This is the biggest opportunity to invent the future of work since we first launched Slack!Our Virtual HQ team recently launched Huddles, a way to recreate quick, informal conversations that would have happened in the office in Slack. We are also building new video and audio-based messaging features that are seeking to replace formerly synchronous, in-person processes and meetings.In this role, you will seek to understand how these features are being adopted and how they are shifting the nature of collaboration within Slack. You will help to establish the foundational analytics infrastructure for Virtual HQ. You will be a strong partner to PMs, Researchers, and Engineers as you work collectively to refine Slack’s strategy in this new area.Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. If this sounds like a good fit for you, why not say hello?What you will be doing
Apply various data science methods to understand the most meaningful aspects of our product, users, and business
Evangelize evidence-based decision making by partnering with key decision makers and driving general accessibility of data and insights
Organize disparate facts and findings into narratives that inform product strategy
Define and drive alignment around success metrics for new product areas
What you should have
2+ years of professional industry experience doing quantitative analysis. An advanced degree (MS, PhD) in a quantitative field (e.g. Computer Science, Economics, Physics) is a plus
A proven record of using data to drive product teams to achieve ambitious goals
Expert in at least one programming language for data analysis (e.g. Python, R)
Expert in designing and testing experiments
Experience with statistical and machine learning methods to build descriptive and predictive models
Experience working with data technologies that allow effective storage and analysis of large amounts of data (e.g. Spark, Presto, Hive, etc)
Experience working on video and audio-based products is a plus
For Colorado-based roles: Minimum annual salary of $128,600. You may also be entitled to receive bonus, restricted stock units, and benefits. More details about our company benefits can be found at the following link: https://www.getsalesforcebenefits.com/AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org.Salesforce welcomes all.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.


Data Scientist

Location Flexible (US Central Time Preferred) | Fully Remote Role
Who We AreHigg is the sustainability insights platform for consumer goods industries, delivering software and services for measuring, managing, and sharing supply chain performance data. From materials to products, from facilities to stores, across energy, waste, water, and working conditions, Higg unlocks a complete view of a business’s social and environmental impact. Spun out of the Sustainable Apparel Coalition in 2019 as a public-benefit technology company, Higg is the exclusive licensee of the Higg Index, a suite of tools for the standardized measurement of supply chain sustainability.We’re motivated by the opportunity to help customers improve every aspect of the trillion-dollar industries that touch everyone’s lives. We want business to change for good, but in a way that adds up to industry-scale change, because no business can change the world alone and doing just one thing for a positive headline won't change our world fast enough. Today, Higg is trusted by global brands, retailers, and manufacturers to provide the comprehensive intelligence needed to accelerate business and industry transformation.The OpportunityWe currently have an opening for a Data Scientist to join our growing data team of analytics experts. The Data Scientist will be an analytical expert, and will gather, analyze, process, and model large sets of data. They will also work to interpret the results of their analyses and make recommendations for the improvement of our data, product offerings, and business processes. The Data Scientist must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. Passion for sustainability and/or experience with sustainability business data is a plus!Key ResponsibilitiesMine and analyze data from company databases to support optimization and improvement of product development, marketing techniques, and business strategiesWrite programs to automate analyses for internal teamsDevelop tools and processes to monitor and analyze data accuracyIdentify new ways to capture, clean, organize, and analyze dataRequired Qualifications1-3 years of experience in a data science or closely related roleAcademic training in data science, data analytics, computer science, statistics, or other closely related disciplineAdvanced proficiency in Python, R, SQL, or other statistical languagesExperience with visualization tools, such as TableauAdvanced knowledge of statistics and predictive analyticsExperience designing and automating predictive models and algorithms is a plus Working knowledge of machine learning and data modeling is a plusExperience with sustainability business data is a plusPersonal or professional interest in sustainability is a plusBenefitsEnjoy benefits including unlimited PTO, flexible working locations, benefits packaging which includes health (medical, dental, vision) and flexible spending benefits, retirement matching plan, and many other benefits.Be part of a team that includes software engineers, sustainability professionals, business leaders, marketers, designers, artists, number crunchers and more than a handful of farmers! (From backyard mushrooms to multi-acre orchards.)Surround yourself with the kindest, smartest, most enthusiastic and dedicated people you’ll ever meet, who dream big, listen well, learn from their mistakes and when things go wrong, pull together to help each other out.Individuals seeking employment at Higg are considered without regard to race, color, religious creed, sex, national origin, citizenship status, age, physical or mental disability, sexual orientation, gender identification, marital, parental, veteran or military status, unfavorable military discharge, or any other status protected by applicable federal, state, or local law.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.