Senior Data Scientist Nlp

Notice:
Several false job solicitations are circulating via email and social media purporting to be official Getty Images communications.  While our staff may initially contact you via social media if your experience is relevant to a posted role, we will never issue job offers or request personal financial information via social media. Further, all outreach will include the Getty Images’ employee email and phone contact. As a reminder, all career opportunities can be found here.

Senior Data Scientist  (NLP) - Calgary-  Remote

Duration: Permanent
Location: Calgary
Start: ASAP

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

Who You Are:

Getty is embarking on its next wave of innovation in visual storytelling and how to put the perfect image or video in our customer’s hands, be it for a society-changing headline or a brand’s next big campaign—truly moving the world with images.
We are looking for a Senior Data Scientist to research, build, and deploy natural language processing and natural language understanding models. Using your machine learning and linguistic expertise while considering the broader business context, you will develop industry-leading functionality in visual search across many languages. This position will have a direct impact on the search and browse paths for over 50 million visitors from almost every country in the world, with a direct tie to Getty Images' revenue.
In this position, you will lead and own building NLP/NLU models to better understand our customers query intent. Partnering with data scientists, MLEs, search engineers, and product you’ll ensure we are returning the most relevant search results.

Your Next Challenge:

Build industry-leading NLP/NLU models to accelerate our international growth, using our search queries, images, metadata, and/or customer interactions to significantly improve our customers’ image/video search and discovery experiences, globally in 20+ regions and 20+ languages
Partner closely with data scientists, product, machine learning engineers, engineers, user researchers, and designers to implement models aligned to customer needs and deploy to production
Develop our technical strategy and roadmap alongside product, team members, and leadership. Distilling customer requirements into problem definitions, identifying solutions, and recommending measures of success.
Lead, guide and mentor team members in building best-in-class machine learning solutions

What You’ll Need:

Proven expertise building and validating NLP/NLU models with deep learning as well as traditional methods for multiple languages. Areas of preferred expertise include: text embeddings (ex: BERT), disambiguation, and modifiers.
A minimum of 5 years of hands-on technical experience in academia and industry
A strong understanding of the real-world advantages and drawbacks of various algorithms and the ability to measure success
Ability to handle ambiguity, priorities, and competing objectives. Experience solving highly technical problems.
Hands-on experience with accessing data, Python, machine learning libraries, and deep learning libraries (ex: scikit-learn, numpy, pandas, scipy, TensorFlow, SQL, hive, spark, etc.)
Experience providing mentorship and guidance to team members.
Ability to write clean, understandable code that follows leading industry standards and practices and is well-documented, and to build easily reproducible models
An ability to consider biases that exist in the data and develop solutions to mitigate biases appropriately
Outstanding communication skills. Ability to communicate at all levels, including explaining sophisticated technical solutions to non-experts
Open listener, ability to be open to many diverse voices and perspectives
Nice-to-have: Fluency in 2+ languages
Nice-to-have: Background in linguistics
Nice-to-have: Familiarity with computer vision techniques
A Ph.D. in Computer Science, Linguistics, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any other equivalent quantitative field is preferred

Mental and Physical Demands:

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

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

Benefits at Getty Images

Extended Health Insurance
We provide comprehensive health and dental benefits.

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

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

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

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

Group RRSP Matching Program
Save for retirement by making contributions consistently and conveniently. Getty Images will match 100% of your  contributions, up to a maximum of 3% of your base salary!

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

__________________________

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

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

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

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

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

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

Leadership Principles

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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


Director Of Data Science

Synergy Sports, A Division of Sportradar, is looking for a talented Director of Data Science to join our fully remote software team.Synergy Sports delivers on-demand analytics and associated video to nearly 1500 basketball, baseball, and hockey teams from pro, international, and college leagues. Our systems are highly complex and contain petabytes of data and video requiring extremely capable individuals to maintain the scale and efficiency of its products.Synergy Sports’ data science team will contribute to the ongoing development of the company’s revolutionary sports data and video delivery solutions, building applications such as: Sports Workflow Applications Sports Analytics Systems Synergy Sports is a globally distributed company, with employees working from home offices. The Director of Data Science must be comfortable working in a virtual office using online collaboration tools, with all communication and interaction in English. We work on an asynchronous model with flexibility of when and where you want to perform your job, while still being able to attend team calls and regular meetings. Personal initiative and a strong work ethic are highly encouraged and rewarded.The company provides a very transparent freedom and responsibilities culture to all our teams. We strongly believe striking the balance between work and family is very important and our culture is focused on the well-being of our team.Note: This is a fully remote position, and your physical location can be anywhere in Europe or the United States.Objectives & ResponsibilitiesThe Director of Data Science will work on the following types of projects and tasks: Lead and grow a global, remote squad of data scientists and data engineers, Collaborate closely across the sport verticals (basketball, baseball, hockey), sales, and product teams to prioritize a roadmap for the data science team, Promote best practices in all aspects of the engineering and modeling lifecycles, Deliver ML models and data pipelines that solve challenging problems, Build trust and foster a collaborative team culture of engineering excellence, and Mentor and develop people across all levels through fostering exploration, knowledge-sharing, and leveraging the skills of others. Key Requirements and Attributes: 5+ years leading data science or software engineering teams Experience with the full ML development lifecycle using modern technology in a business-critical setting Strong understanding of state-of-the-art data science techniques Inspiring leadership style that will attract and develop a high-performing team Ability to stimulate collaboration across technical groups Excellent communication skills for technical and non-technical audiences. Bonus Superpowers: MS or PhD in a quantitative field (e.g. engineering, mathematics, computer science, physics, etc…) Experience with leading geographically diverse teams Familiarity with Amazon AWS Experience with geospatial and time series data sets An interest in sports  Work remotely on a fully distributed and asynchronous team. Big problems, massive impact. We’re working on big scalability challenges and our flat structure means individuals have an incredible amount of impact on everything they touch. Join our team of best-in-class engineers to disrupt the sports industry and learn, share and grow with great peers on a daily basis. A culture geared towards innovation and experimentation. From Deep learning and Computer vision to Kubernetes and the latest cloud technologies. Competitive salary based on your experience.


Senior Data Scientist Experimentation

Notice:
Several false job solicitations are circulating via email and social media purporting to be official Getty Images communications.  While our staff may initially contact you via social media if your experience is relevant to a posted role, we will never issue job offers or request personal financial information via social media. Further, all outreach will include the Getty Images’ employee email and phone contact. As a reminder, all career opportunities can be found here.

Senior Data Scientist - Calgary - Remote

Duration: Permanent
Location: Calgary (Remote)
Start: ASAP

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

Who You Are:

Getty is embarking on its next wave of innovation in visual storytelling and how to put the perfect image or video in our customer’s hands, be it for a society-changing headline or a brand’s next big campaign—truly moving the world with images.
We are looking for a curious hardworking and innovative Senior Data Scientist to help optimize Getty Images search experiences for our customers. This is a high-impact position where you will guide product strategy through data insights and experimentation. Your vision to extract insights about our customers, apply sophisticated statistical methods, and data-informed decisions will affect over 50 million visitors from almost every country in the world, with a direct tie to Getty Images' revenue.
In this position, you will own designing tests, developing experimentation methods, analyzing results, drawing out customer insights, and driving standard methodologies as we accelerate our experimentation. Partnering with product, data scientists, data analysts, and data engineers, you will help define success and our test and learn strategy.

Your Next Challenge:

Design and execute our online experiments (ex: A/B tests) that help us improve and fine-tune our data-focused features, algorithms/models, and products (ex: Search)
Work with product managers, designers, engineers, other data scientists, and partner teams to frame experimentation problems, both statistically and within the business and customer context
Cross collaboration with teams to help improve our experimentation pipeline and platform
Proactively conduct hypothesis-focused deep dives and explorations of user behavior data. Collaborate and partner with the User Experience Research team to demonstrate qualitative and quantitative insights to develop new hypotheses and advise on our experimentation roadmap.
Work with engineering teams to improve data collection procedures to ensure integrity and quality of the data
Develop and validate new metrics
Co-create with stakeholders to identify and prioritize areas of opportunity
Present metric development, testing methodologies, and experimentation results to technical and non-technical partners, clearly and concisely
Use your storytelling and communications skills to influence the business based on the results of yourdata science expertise.

What You'll Need:

Expertise in statistical methods (including Bayesian statistics)
Excellent application skills in experimentation methodologies (A/B, multi-armed bandit) and causal inferences
Experience with common data science toolkits, such as R/Python and libraries like pandas, scipy, stats models, scikit-learn, tidyverse (dplyr, ggplot2, etc.)
Proficiency in using query languages such as SQL and Hive.
Experience with Big Data systems and distributed computing, such as Hadoop and Spark
A self-directed individual, confident decision-maker, ability to work in ambiguous conditions, ability to break down complex problems
Strong communication skills; both written and verbal
An ability to focus on customers and their needs; can contextualize insights in product and business contexts
A Ph.D. or MS in Statistics, Data Science, Mathematics, Economics, Sociology, Psychology, Natural Sciences, or any other equivalent quantitative field is helpful. If you are self-taught and believe you are an excellent fit for this role or have significant work experience, we would love to talk!

Mental and Physical Demands:

A quiet location with reliable high-speed internet connectivity, environment suitable for professional work (desk, chair, external monitor, etc.)
Frequent communication with others to exchange information
Frequent sedentary work that primarily involves sitting/standing; Time of each will vary
Constant operation of computer and frequent usage of other office machinery, including (but not limited to) calculator, copy machine, computer printer, etc
Constant assessment of accuracy and thoroughness of the work assignment

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

Benefits at Getty Images

Extended Health Insurance
We provide comprehensive health and dental benefits.

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

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

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

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

Group RRSP Matching Program
Save for retirement by making contributions consistently and conveniently. Getty Images will match 100% of your  contributions, up to a maximum of 3% of your base salary!

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

__________________________

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

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

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

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

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

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

Leadership Principles

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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


Data Science Manager

At Mozilla, we want to protect the Internet as a global resource, open and accessible to all. We collect terabytes of data a day from millions of users to guide our decision-making. We could use your help.
As a manager on the data science team, you will own a critical piece of the Mozilla organization.  Data scientists work closely with our policy, legal, and business development teams to enable decisions and contribute insights that push our mission forward and in the right direction.  They build models and design experiments that improve our understanding about the operation of our business and products to ensure that we are optimizing our decisions for maximum impact on the market.  We are looking for an opinionated manager with technical chops who is excited to marshal a data science team to shape the future of the Web.  You will manage a small team of data scientists and will be responsible for career mentorship and technical guidance.  You will work with leadership to define and execute strategies that demonstrate the value of the data contributed by our users while maintaining an ethical set of principles to guide your practice.
As a data science manager...

You are comfortable steering a team of 2-7 data scientists to align with business priorities, legal and policy agendas, and Mozilla’s greater mission.
You pride yourself on your ability to communicate technical concepts to diverse  audiences across Mozilla.
You define requirements for data scientists to other parts of the Mozilla organization.
You collaborate with cross-functional management to create new initiatives and refine existing processes that increase the impact of the data science team.
You possess a strategic mindset and find motivation in creatively solving problems.
You establish best practices for data science workflows and know how to create an environment and team culture that enables data scientists to perform at their best.
You have a strong desire to contribute to Mozilla’s mission through data science.

Your professional profile

Up to 3 years of industry experience in the data science (or related) profession and up to 1 year of experience managing data scientists or other similar management experience. It is fine that you may be relatively early in your career, and we appreciate the expectation that you will grow in this role.
You have experience with a breadth of analytical methodologies and possess a solid foundation in numerous statistical techniques.
You also have experience with common data science technologies, namely SQL, Python, or R, as well as familiarity with conventional code and programming concepts.
You have strong communication skills; experience speaking at industry or academic conferences a plus.
You consider contributing to a collaborative and open team culture an important responsibility.

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

Group: D
#LI-REMOTE


Head Of Data Science

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 a Head of Data Science. This role reports to the President of Product and Business, and supports Planet’s product and technology teams (and beyond) through data science. 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. This role is responsible for guiding and leading teams consisting of both direct reports as well as matrixed employees from across the business.
Impact You’ll Own:

Be the champion for the customer, from identifying their challenges and opportunities in data, to highlighting potential solutions.
Work with leadership and cross-functional partners to define a lasting vision for the product
Build and support an incredible team of data scientists, balancing bottom-up and top-down decision making, and providing for career growth and development.
Encourage high performance and innovation by engaging employees in decision-making and development of new product and process improvement ideas

What You Bring:

5+ years of experience in data science supporting commercial or government software products
5+ years of experience managing teams of 10 or more, with a proven record of excellent leadership
A passion for Planet’s mission to use space to help life on Earth

What Makes You Stand Out:

Proven ability to build and lead teams that ship world-changing products in fast-paced environments
Experience hiring world-class data science leaders and building customer-centric cultures
A growth mindset and a desire to learn quickly
Executive presence and ability to communicate effectively to technical and non-technical audiences.
Experience with cross geographical team coordination and management
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.
Compensation (For Colorado Applicants Only):
The base pay range targeted for this position in Colorado is: $156,600- $243,900. This role is eligible for bonus and 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-CM1


Data Scientist

The Impact of Nana
Nana is a vertically integrated student-to-operator trade skills school, today focused on Appliance Repair. We work with some of the 35 million people who will lose their jobs by 2030 to tech automation, teaching them trade skills, building their experience through our mentorship program, and connecting them to good jobs on our marketplace. By perfecting this pipeline and teaching life skills to a new generation of tradespeople, we are accelerating the retooling of America’s workforce and creating millions of economic opportunities. We value transparency, hustle, clarity, truth, and humility.

About The Role
As a Data Scientist at Nana, you'll join a team of skilled engineers in helping to define and implement our data pipeline and science strategy. You will use existing and new tools to help answer questions about the state of the business, the impact of our engineering efforts, and the direction we're headed in. You'll work with Operations, Growth, and Product, to figure out what questions we should be asking - and then help answer them! You'll uncover important insights into the efficient operation of a marketplace and the levers that impact user behavior, and ultimately help propel Nana's growth across orders of magnitude.

About You

You are inquisitive.  You dive deep into problems, leaving no stone unturned, working hard to find the right approach before you write a line of code.
You are an excellent communicator who is able to explain technical concepts clearly to technical and non-technical audiences.
You find clarity in ambiguity, taking initiative to find new ways to solve problems.
You are a collaborator who is excited to work across multiple teams in the organization.
You know when something needs to be perfect, and when something needs to be done quickly, and change your approach accordingly.

You Should Have

An expansive understanding of statistical concepts and methodologies.
A deep understanding of SQL and Python, or experience with R and an interest in using Python.
Ability to communicate complex or ambiguous concepts to a variety of stakeholders.
Experience building data visualizations and dashboards.
Experimentation and A/B Testing experience
ML Model development experience [Nice to Have]
Able to read JavaScript and work with MongoDB [Nice to Have]
Your own unique talents! If you don’t meet 100% of the qualifications outlined above, tell us why you’d be a great fit for this role in your cover letter

What you Will Do

You will collaborate with Nana’s Operations and Marketing teams to deliver insights in the form of reports and dashboards.
You will work within our data warehouse to generate tables that support analyses and data products.
You will bolster our data request support process by building robust solutions for internal customers.
You will dive deep into complex business problems and devise data-driven solutions.
You will work with engineering to put in processes for new data collection to enable better insights in the future.

What Sets Nana Apart
* Work alongside brilliant and kind people who are motivated by Nana’s mission
* Competitive compensation including meaningful Series A equity
* Comprehensive benefits package including healthcare and 401k matching
* Unlimited PTO and generous parental leave policies
* Access to performance coaching and mental health counseling
* Leadership opportunities abound as the team scales
* Remote friendly with flexible access to our lovely downtown Oakland office

About Nana
Nana has raised $30.7M from some of the world’s most successful builders and has a deep and diverse advisory bench. We’re using the funding to expand our team, scale our volume and diversify our products. Come build with us!
Learn more about us:

There’s 30 people on the Nana team and we’re in 12 markets nationwide

Hundreds of active technicians are completing thousands of jobs each month with an average CSAT of 4.5+

We have raised $30.7M from top tier investors

Nana is featured on  TechCrunch, WSJ & Cheddar TV
What do people say about Nana?

Learn more about our software, classes, academy students

Check out Nana Academy and Nana Home

Salary & Equity
$90,000-150,000
.05%-.1%
All applicants must be authorized to work in the United States.


Data Scientist Transaction Fraud

About the company

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

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

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

About The Position

The Divvy risk team is responsible for managing risks through the customer lifecycle and across all of our products. We develop risk capabilities, build profitable decision-making frameworks, create machine learning-powered predictive models, and improve customer servicing and collections strategies. This team is focused on enabling profitable growth and delivering best-in-class customer experience.

You will work in a highly dynamic and exciting environment and will have the opportunity to shape strategies and policies for Divvy products and services. You will play an influential role in working closely with colleagues in other Risk Management teams, Marketing, Finance, Servicing, Legal, Product, and Technology to create world-class strategies and capabilities.

What You'll Be Doing

Develop statistical models and scanners to detect and prevent transaction and customer level fraud
Conduct statistical analysis on large volumes of data to identify emerging fraud patterns and reinforce current fraud prevention strategies.
Conduct quantitative analysis to decide the thresholds within which consumers and businesses can access funds or continue to spend funds given fraud and performance trends
Monitor fraud daily, maintain an effective control environment and respond to gaps with speed, urgency, and discipline
Partner in designing customer communication and servicing strategies to support risk management strategies, ensuring a positive experience across every customer touchpoint, and ensure Divvy compliance with applicable law and best practices
Develop and continuously enhance policies, processes, and controls for mitigating fraud risk exposure and preventing fraud and AML.
Identify, evaluate, and integrate new data sources and capabilities into decision-making
Partner with other teams across the company to standardize methodologies

Qualifications

Advanced degree (e.g., MS, PhD, or MBA) in a quantitative field such as Data Science, Econometrics, Statistics, Mathematics, Operations Research, Engineering, or Computer Science
Advanced degree is preferred but not required given a suitable combination of formal education and work experience
Card Fraud risk management experience and understanding of the credit lifecycle is highly preferred
Strong background in Statistics & Probability highly preferred. Able to think through business challenges and translate these into the appropriate analytic framework
A sense of passion, urgency and personal ownership over controlling losses and driving growth
A blend of analytical skills, process expertise, project management, and relationship-building skills
Ability to handle large datasets using SQL and Python, R, or another similar programming language
Thought leadership and solution-oriented mindset
Ability to think strategically and apply both quantitative methods and business insights to drive results
Ability to build strong relationships in a cross-functional environment
Clear, effective written and oral communication skills
Ability to plainly explain complex statistical & data science topics to non-technical audiences

Needed Competencies

Thought leadership and solution-oriented mindset
A sense of passion, urgency and personal ownership over controlling losses and driving growth
Ability to think strategically and apply both quantitative methods and business insights to drive results
Ability to build strong relationships in a cross-functional environment
Clear, effective written and oral communication skills

Total rewards

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

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

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

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


Senior Data Scientist

Wattpad is a global multiplatform entertainment company whose vision is to entertain and connect the world through stories. Since 2006, we’ve been on a mission to use the power of community and technology to unleash the full potential of stories to the world. Every month 90 million people around the world spend over 23 billion minutes on Wattpad to share and discover stories they can’t find anywhere else.  Our brand banner includes: Wattpad, W Ventures, Wattpad WEBTOON Studios, Wattpad Books and Wattpad Brand Partnerships. We’re proudly based in Toronto, but our reach is global. Come build the future of entertainment and storytelling, and write your next chapter with us!

At Wattpad, we have a massive scale and reach across our global users; this is what makes us unique. It’s been an exciting time of growth, change and development for Wattpad. Working at Wattpad, you will have access to large and unique data sources. In addition to a massive corpus of stories, we work with engagement data such as comments, votes (i.e., likes), and conversations between readers and creators. These conversations and engagements have driven the popularity of hit fiction titles such as 'After', 'The Kissing Booth', 'I am a Gay Wizard', and many others.

The Data Products & Services (DPS) team owns Wattpad’s Search and Recommendation system. We are a cross functional team of engineers and data scientists with the vision to connect millions of readers to the right story at the right time. We build recommendation engines and information retrieval systems to power everything from the “Home” page to “Search” and “Browse” experiences. If you have a passion for building discovery systems at massive scale, come join us to build the next iteration of our ML engines!

What you'll be doing:

Model complex problems, and identify opportunities through statistical, algorithmic, data mining, and visualization techniques
Validate findings using experimental and iterative approaches and present findings back to stakeholders
Designing experiments, preparing datasets, developing new models and creating prototype implementations focusing on applications to various challenging business problems
Build queries, conduct in-depth analysis and develop models to understand content, user engagement, and diversification
Prepare and integrate large, varied datasets and also maintain them to train models
Work cross-functionally to identify problems and turn data into knowledge which can be
actioned into product features or business decisions
Work closely with live production systems and product teams, and deliver ML solutions at scale
Uphold high data science standards and best practices
Drive decisions such as assessing vendors in order to buy vs build/make
(DPS Team) Improve existing search and recommendation systems through experimentation, feature engineering, etc.
(DPS Team) Build features and develop new ranking algorithms

Do you have most of the following? If so, please apply!

You have a passion for machine learning
You have industry or academic experience with personalization, recommender systems or Natural Language Processing (NLP)
3+ years experience in an applied machine learning or quantitative role with knowledge in statistical machine learning and deep learning techniques
Experience in algorithm development and adapting existing algorithms to novel applications
Comfort working with complex, high dimensional data
Fluency with Python, and familiarity with one or more deep learning software frameworks such as TensorFlow or PyTorch
Familiarity with data extraction languages and tools (SQL or Apache Spark)
Development experience involving data pipelines and/or large-scale data processing
You have an understanding and/or experience of open-source ML frameworks (e.g. Tensorflow, TFX, PyTorch)
You love to deliver impactful products that accelerate the workflows of our business and end users
You have a systematic approach to project planning and dealing with ambiguity
You are able to articulate the strengths and weaknesses of solutions, and to reason about the compromises required for systems at scale
You have a solid understanding of Matrix Factorization and/or Factorization Machines
You have an understanding of Recsys metrics and evaluation methodologies

Bonus Points:

Good understanding of Stochastic Ranking, Bandit Algos and probabilistic methodologies such as (Variational Inference)
Experience with running Online Recsys experiments
Experience with Learning to Rank algorithms
Good understanding of Deep Learning based recsys (such as NCF, DeepFM, DCN etc.)
Have published in Recsys focused conferences such as ACM Recsys, KDD, WSDM, WWW etc.
You have experience in a technical/project leadership role

What we offer:

Competitive salary
Career development; we believe in mentorship and investing in your learning, supporting you to achieve your goals
Health benefits, fully covered by us!
RRSP Contributions (Canada), 401K Contributions (USA)
Generous vacation and Parental Leave Top-up
Monthly home office allowance, choice of hardware, flexible hours, and remote work options
Corporate discount for gym membership for you and your family
Summer Fridays with afternoons off!
And a whole lot more!

Wattpad is conducting all interviews in a distributed manner using applicable third party software where needed and using visual interface tools such as Google Hangouts and Zoom.

About Wattpad

Who are we? Entrepreneurs and Do-ers. Our vision is to entertain and connect the world through stories, and our mission is to use the power of community and technology to unleash the full potential of stories to the world.

What does that mean? We are visionaries, community builders, passionate problem solvers, storytellers, coffee snobs (tea drinkers, too!), curious by nature, and culturally diverse.

What are we obsessed with? Our users. Solving complex problems and maximizing flow. Learning constantly. Building the next great storytelling product. Finding the greatest stories ever told. Dogs (and cats), coffee, and good snacks.

How do we work? Autonomously, collaboratively, respectfully. Balancing with work, family, and play...and all while having a great time.

Wattpad is a remote friendly company and encourages remote candidates to apply as long as they are located and authorized to work in either the US or Canada (excluding Quebec) as a precondition of employment. We are not able to sponsor applicants for work permits.

If you happen to live near the areas of either Toronto, Ontario or Halifax, Nova Scotia, you may also have the opportunity to work from our beautiful offices - 1 located in Downtown Toronto and the other in Downtown Halifax, both with easy access to transit.

Culture and Diversity

Wattpad is an equal opportunity employer. We do not discriminate. Period.

Wattpad welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. We have taken a leadership position on creating a culture and an organization that truly values diversity. We are committed to fostering a global team that reflects the diversity of the Wattpad community. At Wattpad, we believe cultural fit doesn’t mean culturally identical, and diversity of thought helps us to challenge one another to think big and think differently. We consider employment applicants without regard to age, race, colour, national origin, citizenship, religion, creed, sex, sexual orientation, veteran status, marital status, disability status or any other protected status.

If you have any special needs or accessibility requirements, please let us know. We will do our utmost to accommodate, in accordance with applicable local legislation.


Data Science Manager

On the Data Team, our focus is the strategic application of data science and engineering across the business. We tackle diverse problems that span molecular biology, robotic automation, finance & business strategy, and operations, all in service of supporting data-driven decision-making. We do that through a combination of durable software tools, closely embedded analysts, and side-by-side collaboration with data engineering.

Every day we face new technical and scientific challenges that require deep cross-functional collaboration and novel solutions. Success in this evolving field is only possible with teams that represent diverse people, ideas, backgrounds, experiences, and ways of working. Active inclusion is core to how Ginkgo wins. We’re an equal opportunity employer and encourage individuals from underrepresented backgrounds to apply.

As a Data Science Manager, you’ll join a distributed, highly collaborative team composed of data engineers, analysts, and data scientists with a wide range of backgrounds and experiences (the team is currently located in Boston and Seattle). You'll partner closely with scientific collaborators from across Ginkgo to develop analysis plans, deliver durable reports, on-board and train partners, and work with data scientists and engineers to design data-driven software tools. Ideal candidates are self-starters with a strong technical background who can identify opportunities to solve problems with data. Candidates should be curious and eager to learn about both the science and the business, possess analytical skills and reasoning, be a strong leader who can mentor and grow the team, and excel at communicating the team's work to broad audiences.

Responsibilities

Leading high-output technical team; building and nurturing team culture, coaching, and creating personalized development plans for all team members from entry-level to principal
Delivering end-to-end data products, i.e. ability to work across the product lifecycle from exploration and discovery, to operationalization and production
Project management including managing complexity and making informed trade-offs to quickly escape rabbit holes and make on-time deliveries
Breaking down complex technical and quantitative topics for audiences with mixed levels of technical expertise; in particular, translating technical and scientific concepts into business outcomes and recommendations is essential for success in this role
Comfort and aptitude for presenting progress, insights, and recommendations to stakeholders and senior leadership
Storytelling with data, specifically supporting data-driven decisions with compelling visualizations
Building strong partnerships with collaborators and stakeholders, influencing and collaborating at all organizational levels
Willingness to work on a distributed team and adhere to common working hours across time zones
Minimum requirement of quarterly travel to headquarters in Boston, MA

Minimum Requirements

Must be able to start the day at 10am EST and have familiarity with communication strategies and tactics for managing a distributed team
Strong working knowledge of SQL and the ability to self-serve with basic data exploration tools like Tableau
Software development best practices including story estimation, test-driven development, code review, and version control with git
Excellent written and verbal communication skills
Strong technical writer and documenter
Fluency and practical experience with statistical methods like exploratory data analysis, hypothesis testing, power analysis, regression, and generalized linear models, as well as familiarity with advanced methods like time-series and survival analysis
Fluency and practical experience with machine learning concepts and algorithms in supervised and unsupervised learning settings; examples include general machine learning workflow, linear/logistic regression, decision trees, neural networks, clustering, etc.
Fluency and practical experience with data visualization techniques and best practices

Preferred Capabilities and Experience

Experience with Agile workflow practices and familiarity with Atlassian tools including Jira, and Confluence
Experience with the Amazon Web Services ecosystem
Familiarity with biological data, specifically in the context of high-throughput screening

To learn more about Ginkgo, check out some recent press:
What is it really like to take your company public via a SPAC? One Boston biotech shares its journey (Fortune)
Ginkgo Bioworks resizes the definition of going big in biotech, raising $2.5B in a record SPAC deal that weighs in with a whopping $15B-plus valuation (Endpoints News)
Ginkgo Bioworks CEO on scaling up Covid-19 testing: ‘If we try, we can win’ (CNBC)
Ginkgo raises $70 million to ramp up COVID-19 testing for employers, universities (Boston Globe)
Ginkgo Bioworks Redirects Its Biotech Platform to Coronavirus (Wall Street Journal)
Ginkgo Bioworks Provides Support on Process Optimization to Moderna for COVID-19 Response (PRNewswire)
The Life Factory: Synthetic Organisms From This $1.4 Billion Startup Will Revolutionize Manufacturing (Forbes)
Synthetic Bio Pioneer Ginkgo Raises $290 Million in New Funding (Bloomberg)
Ginkgo Bioworks raises $350 million fund for biotech spinouts (Reuters)
Can This Company Convince You to Love GMOs? (The Atlantic)

We also feel that it’s important to point out the obvious here – there’s a serious lack of diversity in our industry, and that needs to change. Our goal is to help drive that change. Ginkgo is deeply committed to diversity, equity, and inclusion in all of its practices, especially when it comes to growing our team. Our culture promotes inclusion and embraces how rewarding it is to work with people from all walks of life.

We’re developing a powerful biological engineering platform, so we must remain mindful of the many ways our technology can – and will – impact people around the world. We care about how our platform is used, and having a diverse team to build it gives us the best chance that it’s something we’ll be proud of as it continues to grow. Therefore, it’s critical that we incorporate the diverse voices and visions of all those who play a role in the future of biology.

It is the policy of Ginkgo Bioworks to provide equal employment opportunities to all employees and employment applicants.


Principal Data Scientist

At MissionWired, we help clients create revolutionary digital strategies that advance their mission, change our country, and have a positive impact on the world.

We’re digital-obsessed, tech-savvy do-gooders who care deeply about social change. We’ve brought digital strategies to life for nonprofit organizations working around the world, including Save the Children, Sandy Hook Promise, and Friends of the Earth, as well as progressive political organizations, campaigns and candidates. This cycle, we're excited to support the DGA in flipping and protecting governorships across the country while expanding the Democratic majority in the Senate via our work with the DSCC, Sen. Raphael Warnock, Rep. Val Demings, Sen. Catherine Cortez Masto and Sen. Maggie Hassan.

We’re an equal-opportunity employer and take seriously our commitment to equality and equity. Our efforts to be inclusive and create opportunity don’t end when someone joins us – they begin.

We’ve set our sights on changing the world through our work and with our clients, and representation is at the foundation of what we do. We know that diversity of thought and background makes us stronger. That’s why we’re committed to building and maintaining a diverse community.

Every new team member broadens our perspective and allows us to think bigger. We’ll be at our best when people from underrepresented communities and people with a range of perspectives and lived experiences want to come, stay, and push the boundaries of what’s possible.

Overview: We are looking for a principal data scientist to join us in bringing machine learning to online fundraising through our AdvantageAI product. The models you create will improve the lives of people throughout the world by empowering digital donors and activists to support our mission-driven clients. You’ll be driving positive change as part of a team of data scientists and engineers developing first-of-their-kind machine-learning products.

You’ll join an engineering team that is deeply devoted to inclusion, particularly in the following three areas:

Process: We create a context in which everyone is empowered to contribute.

Machine Learning: We are committed to identifying and removing bias from our algorithms.

Philanthropy: We empower diverse groups of individuals to participate in giving.

With us, you’ll put your skills to use for innovation that powers social good. We want your ideas and your leadership. Join us. Let’s go.

You will be responsible for:

Joining each and every one of your colleagues in creating an inclusive workspace;
Developing and enhancing the core models that power the AdvantageAI platform, supporting digital donor acquisition and UX optimization;
Designing experiments to determine how to maximize client goals, such as philanthropic donation or email activation;
Developing and supporting the development of infrastructure for optimal extraction, transformation, and loading of data from a variety of data sources;
Working to constantly improve data reliability and quality;
Collaborating with cross-functional teams to support their data infrastructure needs.

Must-have qualifications:

Professional experience in designing and implementing machine learning solutions to business problems;
A passion for statistical methodology, including an ability to unpack the assumptions and interpretations of various approaches, an openness and critical eye to the latest techniques, and a willingness to lead collaborations to find optimal solutions;
Experience with SQL to write nuanced analytic queries;
High-level familiarity with big data tools using AWS or other cloud services;
Attention to detail;
Intellectual curiosity to innovate on ways to solve data management issues.

Nice-to-have qualifications:

Working knowledge of Pandas and ideally PySpark;
Experience deploying deep learning models;
Experience managing data warehouses and/or data lakes;
Ability to build and optimize data pipelines, architectures, and data sets;
Experience working with cross-functional teams in a dynamic environment.

We are looking for candidates in a range of seniority levels, including very experienced data scientists. The salary floor for this role is $90,000 per year and goes up depending on experience.

If you feel you can do the job and are excited about this opportunity but are not sure if you meet all the qualifications, consider applying anyway. We’d love to hear from you!


Director Data Science Analytics

Our mission: to eliminate every barrier to mental health.

Spring Health is the leading comprehensive mental health benefit for employers. We help employees understand their mental health issues and connect with best-in-class providers to get the right treatment at the right time.

From early detection to full recovery, Spring Health is the only clinically validated solution in the market proven to be more effective than traditional mental healthcare. By combining the latest technology with vetted providers, we help engage 1 in 3 employees, reduce recovery times, and lower healthcare costs. We are an award-winning, passionate, and mission-driven team with the support of leaders in psychiatry. We have raised over $300 million to date 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 an experienced data science and analytics leader to join the growing Data Science organization and build out our Operational Analytics department.  You will partner directly with senior leadership across the business to effectively leverage data to enable best-in-class financial and care operations. Your team will work on our most analytically challenging problems - everything from evaluating the pricing strategies for our various product lines, to predicting growth targets for hiring care teams in different geographical regions, to identifying factors and strategies that drive member engagement.  You shall be a strategic thought partner to all operations and business functions at Spring Health and work with them to set and drive company and department wide KPIs.

What you’ll be doing:

Act as a strategic thought partner to cross functional partners and senior executive team, helping to prioritize and execute data and analytics efforts and investments
Create and drive the execution of the analytic roadmap for the business intelligence and data foundations teams
Own the strategy for our business intelligence, data analytics and data warehousing software applications, keeping a close watch on the evolving vendor landscape
Work with the engineering platform team to lead the design and development of our data warehouse in alignment with the overall analytics strategy
Guide your team on strategic communication and how to translate from a business use case to underlying conceptual data models, data pipelines and business logic
Grow, mentor and scale a team of data analysts, data scientists and data architects

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
8+ years of working experience driving analytics and data science for a brand-new or rapidly scaling business or product lines
4+ years of previous leadership experience
You have exceptional communication skills and are excited to champion and operationalize data driven decision making at all levels across the organization
You are passionate about data, metrics, innovation, and operational excellence
Proficiency with sql; Experience with an analytical scripting language (ex:python/R) and command line/git
Bonus points for experience with Snowflake, Looker, dbt
Proximity to NYC or willingness to travel to NYC often

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


Senior Data Scientist Product

Our mission: to eliminate every barrier to mental health.

Spring Health is the leading comprehensive mental health benefit for employers. We help employees understand their mental health issues and connect with best-in-class providers to get the right treatment at the right time.

From early detection to full recovery, Spring Health is the only clinically validated solution in the market proven to be more effective than traditional mental healthcare. By combining the latest technology with vetted providers, we help engage 1 in 3 employees, reduce recovery times, and lower healthcare costs. We are an award-winning, passionate, and mission-driven team with the support of leaders in psychiatry. We have raised over $300 million to date 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 own the analytics and data product roadmap and deliverables on a newly established team that will be focused on member engagement.  You will enable us to better understand our member journey, and unlock our ability to best engage with the members who would benefit the most from getting support through Spring Health, and to set and track a robust set of supporting KPIs. This role will be highly cross-functional and you will work collaboratively with our Strategy, Marketing, Customer Success, and Product & Engineering teams. As the sole data lead for the Member Engagement team, you will play an integral role in setting up our experimentation roadmap and driving our overall product and growth strategy.

What you’ll be doing:

You will drive the data insights and analysis to inform strategies to drive member engagement
You will ideate and design A/B tests to evaluate new product features and member engagement strategies;
You will build the analytical infrastructure and insightful, automated dashboards necessary to track member and engagement metrics and KPIs
You will proactively analyze data across all aspects of the member health journey and identify opportunities to accelerate member growth, engagement and utilization.
You will craft compelling narratives and data informed recommendations to drive the overall member engagement and outreach strategy.
You will use predictive modeling to uncover trends, drivers, impacts and key influences on member utilization and outcomes that will drive user growth and engagement, improve marketing effectiveness, and inform target KPIs across our member engagement funnel.

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
Proficiency with data querying language (ex:SQL) and a statistical analysis language (ex:R/Python) to analyze and model user data.
Experience working with modern data warehouses (ex: Amazon Redshift, Google Bigquery or Snowflake) and data visualization tools (ex: Looker)
Excellent verbal and written communication skills to guide and make recommendations to technical and non-technical business users
You have past experience in the area of user-centric product and web analytics
You are comfortable in an ever-changing environment and have a passion for successfully navigating ambiguous problem areas
You are committed to collaboration and are able to work well with other business units to build iterative solutions that continuously deliver value
You are proactive, not afraid of getting your hands dirty, and are equally comfortable balancing tactical and strategic execution

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 New College Grad

Data and its proper use is crucial to that vision and the data science team plays a fundamental role in understanding and interpreting those data sources.

The Wealthfront data science team creates data products to deliver personalized financial product experiences, develops best in class investment algorithms, and analyzes our rich financial and behavioral data to make key business decisions. The team draws from a variety of backgrounds in Computer Science & Engineering, Statistics, Economics, Math, Operations Research, and Financial Engineering. We derive strength from this diversity and are constantly learning and teaching each other in a down-to-earth and dynamic environment. We are neither too big where you would be just another cog in the system, nor are we too small that none of our efforts can be realized.

As a Data Scientist in Wealthfront’s Data Science organization, you’ll be responsible for improving the quality of our decisions using data and the scientific method. Your work will generate tools and insights that inform product and business decisions throughout the company and across the product lifecycle, from ideation and research to launch and iteration. You will mentor and collaborate with your data science colleagues with a focus on technical skills and career development. We are fortunate to work with experienced product managers and engineers that have worked on products at companies like Facebook, Google, Twitter and Apple. This is an opportunity to learn from some of the most experienced operators in the startup world and to further an important and meaningful mission. Our Data Science team focuses on product analytics (for the product areas of Investments and Banking), A/B Testing, growth/marketing analytics, and risk analytics (fraud, credit).

What you'll do

Work closely with cross-functional teams of product managers and engineers, translating open-ended business issues into data questions, identifying practical approaches including A/B testing to answer them, and carrying out timely and well-documented analyses that influence our product and company strategy
Design and develop data products to assist consumers with decisions around investments, banking, and financial planning
Continuously look for, and execute upon, opportunities to improve the quality of our data, infrastructure and products
Understand and communicate a data-driven picture of our clients, product and business
Promote automation of repetitive tasks and the creation of tools over ad hoc analyses, making your insights available to anyone that can benefit from them

What we're looking for

Knowledge of Python and SQL toolchain to access, transform, visualize, and model business data
A firm foundation in data analysis basics including regression and classification models, experiment design, time series modeling and hypothesis testing
Ability and empathy to explain technical and statistical work to business stakeholders
Interest and ability to map business requirements and priorities to technical projects
Interest in continuous learning and mentoring others
BS, MS, or PhD in computer science, mathematics, statistics, economics or related field

Everyone across the financial spectrum deserves to live secure and rewarding lives. In order to successfully serve clients across the United States, the Wealthfront team is focused on hiring team members with a diverse range of backgrounds, experiences and perspectives. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

About Wealthfront

Our first chapter was about transforming the investment advisory business. We focused on unlocking access to low cost investing for delegators - people who were underserved by high fee and human financial advisors. We built the first automated portfolio that allows you in seconds to invest in a personalized portfolio of thousands of companies for a remarkably low fee, which resulted in attracting more than $25 billion of our client’s hard earned savings, created the robo-advisor category and transformed the broader industry.

Now, we’ve embarked on expanding into an adjacent opportunity to transform the digital self-directed brokerage space. This focus enables us to empower a dramatically wider audience to build long-term wealth - people who are eager to learn about investing by making their own investment decisions, but need guidance. In the last few years, several financial technology companies have made it incredibly accessible and engaging to trade in individual stocks, but because of their transaction based business models, these apps keep people focused on the day-to-day gyrations of the market leading to short-term thinking and behaviors. As a result, millions of people are investing their hard earned savings in a handful of stocks which is inconsistent with building long-term wealth. We believe our vision serves their needs far better and that we can extend our core philosophy of embracing diversification, managing risk, minimizing fees and taxes and taking a long-term view, into self-directed investing. We believe this is an ideal opportunity to leverage our strength of building simple, easy-to-use products that offer a delightfully engaging experience to build long-term wealth.


Data Scientist Finance

About Mynd:
Mynd is a tech-enabled real estate company serving the $85B+ property management and real estate investment market. In the past few years, consumers have gained access to free stock trades, greater transparency in the mortgage market, and apps that make managing their money more convenient. Yet real estate investment, the most powerful tool for building generational wealth, has largely been the purview of wealthier individuals and professional money managers.
Mynd is determined to overhaul that paradigm.
At Mynd, we’re on a mission to democratize access to happy homes and sustainable investments by making the purchase of single-family residential real estate as 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 buy real estate in their geographic area, or have been priced out of competitive big city housing markets.
With operations in 25 markets across the U.S. and real-time insights via our platform, we remove the time, communication, and geographic barriers traditionally associated with buying real estate. Investors can now find, purchase, lease, manage, and sell single-family rental properties 100 percent 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, The New York Times, 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 recently 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:
Partnering with the VP of Finance, the primary focus of this role is to build predictive models that help strategic decision making. You will be responsible for multiple input complex modeling problems (VTM analysis / Vacancy Forecasting / By Market P&L-Margin forecasting, among others). You will also be part of the broader Data Science team and work closely with other data scientists on machine learning solutions for Mynd’s business.
Responsibilities:

Extract and analyze large datasets using SQL
Conduct data analysis and visualizations using Python/R
Reasoning from first principles, apply a variety of statistical and mathematical modeling techniques to research and understand patterns and behaviors
Write code concisely and effectively
Collaborate with cross functional stakeholders
Effectively communicate results to diverse audiences
Work with data engineers to ensure data accuracy and best practices

Qualifications:

Bachelor’s/Master's Degree with 2-4 years of experience working within an analytical role
Proficiency in a scripting language (Python/R) and a database querying language (SQL)
Proven ability to succeed in both collaborative and independent work environments.
Strong intellectual curiosity and critical-thinking 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


Senior Data Scientist Credit

About Caribou
At Caribou, we’re on a mission to help people save money and take control of their car payments. Caribou does this by using technology to unlock low rates, and people to make the process easy and enjoyable. We offer a fully online application and a dedicated team to walk you through the process. We put Drivers in control.
Caribou is a hyper-growth company built by leaders from the technology, automotive, and finance industries. We’re proud to be backed by a great team of investors, including QED Investors, Goldman Sachs, Moderne Ventures, Accomplice, Link Ventures, Motley Fool Ventures and others.
About the Role
Caribou is looking for a Senior Data Scientist to help develop modeling and quantitative strategies in the Credit space. You’ll work closely with our Credit Strategy team to develop credit-centric productionized models including estimating propensity to respond to mailers and propensity to default on loans, among others. You’re familiar with credit data and best practices in the space, but also can think outside the box to develop novel solutions to major strategic initiatives for the business. You thrive in fast paced environments and have a knack for taking unstructured problems and breaking them down into digestible and actionable pieces.
Responsibilities

Identify and solve business challenges in the credit space with advanced data science and analytics tools, including audience selection and credit risk
Partner with credit, product and engineering to translate business insights into productionalized models to meet business needs
Work with product and engineering to set up the necessary pipelines and infrastructure to deploy productionalized models at scale throughout various parts of the business
Act as a thought partner to our Credit and Strategy and Analytics functions to develop a winning data-driven strategy

This role can be based out of Caribou offices in Washington, DC; Denver, CO; Austin, TX. Alternatively, the role may be based remotely within the U.S. Caribou currently requires that all personnel and visitors to any of its offices are fully vaccinated against the COVID-19 virus.  As a result, candidates must be fully vaccinated against COVID-19 to be eligible for this position (subject to any exemptions or accommodations due to medical or religious reasons).
About You
We are looking for a candidate with:

A degree in a quantitative field like computer science, math, economics, statistics, finance, or engineering
3-5 years of experience in a data science role in the technology or finance space

Experience working consumer data (especially consumer finance), including data from credit bureaus

Experience working in cloud ML environments (GCP, AWS, Azure, VertexAI, etc.)
Expert in SQL and Python, including key data science packages (Scikit-learn, XGBoost, Pandas)
Demonstrated ability to explain and visualize complex data science techniques to non technical audiences
The ability to break down and solve large unstructured problems
Independent thinker and self starter

How we will take care of you
Everyone at Caribou is a valued team member, and we always strive to live up to our value Take Care of Each Other. Our compensation and benefits package includes:

Competitive compensation: 125k - 145k annual salary
Equity in a high-growth company
401k savings program with 3% company contribution
Generous paid time off including: 20 days accrued PTO per year, 14 annual company holidays, 16-weeks paid parental leave, bereavement leave, and volunteer day
Robust wellness benefits including company-paid plans for health, dental, vision, mental health, disability and basic life insurance
Optional benefits to suit your individual circumstances such as HSAs, FSAs, supplemental life and medical insurance, and pet insurance
Up to $1,000 per year for eligible professional development expenses

Our Core Values
We come from all walks of life and are joined together by our shared values, which guide our work. This helps us improve life for our customers, our communities and our team members.

See people as people
Take care of each other
Commit to the mission
Move quickly and bravely
Get better every day
Seek truth

Caribou is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, marital status, military or protected veteran status, genetics, or any other characteristic protected by law. This position is not restricted solely to the responsibilities listed above, and the scope and responsibilities are subject to change. A pre-employment background check is required as a condition of employment.
#LI-REMOTE#LI-NH1 #ZR


Data Science Recommender Systems

About the Data Science Team
In the Data Science Team, we are using state-of-the-art machine learning to build applications that help  enterprises to take advantage of new capabilities with a focus on knowledge graphs. Examples of applications that are usually focused on knowledge graphs include, but are not limited to, search, recommendation, natural language understanding, and computer vision.
The Opportunity (aka role description)
Instructions: As a Data Scientist with expertise in search and recommender systems, you will help our product and our customers to build search and recommender system applications that will solve significant real-world problems. The search and recommender systems will be built on top of our knowledge graph management system and they will be powered by the knowledge graph paradigm. During this role, you will have the opportunity to work with our top-talent team, on real-world data where your work will have a direct business impact.
 What You Will Do (aka responsibilities)

Build search and recommender system applications on top of our knowledge graph management system
Translate business problems to machine learning applications
Stay up-to-date with state-of-the-art machine learning models relative to the area of your work
Push the boundaries of current approaches
Design and implement state-of-the art machine learning models
Day-to-day collaboration with the members of our data science team

Who You Are & What You Bring (aka qualifications)
Required

Bachelor's degree in Computer Science, Statistics, Economics, Information Technology or related field  with a specialization in machine learning
Experience in designing scalable machine learning models
A good portfolio of search and/or recommender systems projects such as  content-based recommendations, collaborative filtering, hybrid recommendations
Natural curiosity, problem solving skills, communication skills

Nice to have

Masters or PhD degree in Computer Science, Statistics, Economics, Information Technology or related field with a specialization in recommender systems
Familiarity with the state-of-the-art on search and/or recommender systems
Experience in declarative logic programming languages such as Datalog

Hiring Process
Qualified candidates can expect the following hiring process:

One 45 minutes screening meeting with our Head of Data Science
A 45-60 minutes meeting with one of our senior Data Scientists on technical communication skills
A 45-60 minutes meeting with one of our senior Data Scientists on machine learning expertise
A 45-60 minutes meeting with one of our senior Data Scientists on coding

All calls will be conducted using zoom with video.