Data Scientist Content Development

We're Karat, the leader in technical interviewing and pioneer of the Interviewing Cloud

Karat’s purpose is to unlock opportunity, and we built the world’s first Interviewing Cloud to conduct predictive, fair, and enjoyable technical interviews 24/7. Karat helps companies expand interviewing capacity, unlock developer time, and raise engineering quality so they can hire smarter and grow faster, and create more opportunities for software engineers. From our industry-leading solutions to Karat’s Brilliant Black Minds program, the work we do here matters. We’re a team of passionate, focused, human-centric team, and we want you to join us!

Come join our Technical Content team

Our Technical Content team is committed to the creation and testing of questions that are a part of the most predictive and fair technical interviews available to software engineering candidates.
What you will do
As a Data Scientist - Interview Content at Karat, you will help develop best-in-class technical interview content in the domain of data science by authoring new questions and serving as the arbiter of quality on all content within this domain. You will also meet with clients, working with their data science teams to talk through how Karat’s assessments work, helping them to understand what signal they’re looking to capture from the interview process.

Author, test, and validate technical interview questions to assess the most important domains in data science across all levels of seniority.
Serve as a domain authority on new data science assessment content crafted by other contributors in the development pipeline, and provide feedback on improvements.
Ensure the performance of data science content in Karat’s library, ensuring it reflects up-to-date technologies and best industry practices.
Investigate and innovate on new types of interview formats to make Karat’s data science interviews predictive, fair, and enjoyable.
Collaborate with Karat’s client partners, including hiring managers, data scientists, data engineers, and data analysts to understand the hiring signal required for client roles; provide advice on what content is needed to create and gather that signal.
Establish the feasibility of producing predictive models from available data to meet specified product requirements on the content team.

The experience you will bring

6+ years of experience in an industry Data Science-focused role (focus on machine learning preferred)
Previous experience conducting interviews and hiring for industry data science roles
Experience with Python and related data science and machine learning libraries
Familiarity applying machine learning to solving business prediction and automation challenges
Strong data analysis and scientific thinking skills
Significant experience with relational databases with a strong knowledge of SQL and data modeling best principles
Experience with data visualization and presentation, familiar with data analytics and BI tools
Experience with — and a knack for — communicating technical work to partners

This is a full-time, salaried position. Immigration sponsorship is available.
Karat is a remote company with employees throughout the United States, Canada, and the United Kingdom. For this position, we are considering individuals based in the United States, Canada, and the United Kingdom.

Benefits of joining Karat
Karat strives to offer everything you need to best support you today, tomorrow, and beyond. We’re proud of our current offerings, and highlight some of our team’s favorites below. There are more, just feel free to ask!
Compensation / Time Off:

Highly competitive salary and stock options
401(k) with company match
Generous paid PTO (see below) and Sick Leave (10 days per year)
Flexible Time Off Policy for salaried positions
Three weeks accrued per year for hourly positions
Global Parental Leave (16 weeks paid with additional 8 weeks transition back to work in part-time capacity)
20 paid Company Holidays for 2022

Benefits / Wellness:

Medical, dental, and vision insurance via Cigna or Kaiser (for CA-based employees)
100% premium covered for employees
70% premium covered for dependents
FSA, STD, LTD, Standard Life Insurance, and Optional Life Insurance
Mental Wellness offerings such as Calm, Happify, Talkspace, Modern Health, and more
$150 per month contribution to miscellaneous benefit/wellness of employee’s choice

Learn more about us

Statement of Inclusivity:
In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at Karat.
We value a diverse workforce: people of color, womxn, and LGBTQIA+ individuals are strongly encouraged to apply.
If you have a disability or special need that requires accommodation, please let us know at accommodation@karat.com.


Senior Product Manager Data Science

System1 is looking for a senior product manager to join our Data Science team. You will drive product direction for a talented team focused on building models that power our large scale marketing platform. System1 products touch 100s of millions of users per month and our platform processes 5B+ data points every day.

The ideal candidate will have a background in managing technical data science & analytics projects, balancing stakeholder requests, working cross-functionally with engineering and operations teams and writing detailed functional specifications.

What You Can Expect on the Team

Define detailed product specifications pertaining to our data science & analytics efforts
Identify, prioritize & evangelize the areas that can get the biggest impact from using data science techniques
Create a prioritized roadmap of Data Science & Analytics projects,  and define measurable success criteria for them
Be a thought partner for counterparts in Product, Engineering & Operations to recommend technical solutions, and influence the roadmap
Productize the ML platform and ensure it’s performance & quality is measurable using business metrics
Own the definition, tracking, and reporting on KPIs for all data science products

 What You Will Bring

5+ years of product management experience in integrating and managing data science products, and data analytics
Proficient in scripting languages (Python/R)
Advanced SQL skills
Experience with NLP pipelines
Experience with experimentation (A/B testing, RDD, diff-in-diff experiments)
Knowledge of with Data visualization techniques
Engineering or computer science education and/or relevant technical background
Excellent written, verbal, and leadership skills
ETL experience is a plus

What We Have to Offer

Competitive PTO
11 Company Holidays
Untracked sick time
100% covered Medical, Dental, Vision for employees
401k w/match
Paid professional development
Leadership & growth opportunities
Virtual company and team building events
#BI-Remote
#LI-Remote


Director Data Science

About Transfix:

Transfix, named to Forbes’ “Next Billion-Dollar Startups” list, is the leading transportation solutions provider whose digital brokerage marketplace and logistics software offerings are helping transform the $800 billion trucking industry. Since its founding in 2013, Transfix has been driven by a mission to deliver simple, smart, and sustainable solutions for shippers and carriers, powered by people and technology.

Here at Transfix, we are not only building incredible technology solving some of the world’s biggest, most complex, and most important challenges in the freight and logistics industry; We are also helping protect our environment and are passionate about making the world a better place by increasing sustainability and eliminating the extreme amount of waste that currently exists in our industry.

By combining deep industry expertise and a best in class carrier network with cutting-edge technology, Transfix is reimagining the world of transportation. Transfix works with some of the largest Fortune 500 companies such as Staples, Unilever, Target and Wayfair rely on Transfix to handle their most important FTL freight needs. With instant pricing, algorithmic matching, superior service, and unmatched intelligence, Transfix is optimizing the supply chain from start to finish.

The problems we solve everyday are real and require creativity, grit, and determination. Recognized as one of Built In’s Best Places to Work 2021, Transfix is building a culture that challenges norms while fostering experimentation and personal growth. We’re hiring team members who are passionate and are energized by the vision to simplify and transform one of the largest and most complex industries through technology, data and a strong commitment to customers.

About this Role:

Transfix is making huge investments in our Data & Analytics function, and we’re looking for a Director of Data Science to join and play a key role in the growth of Transfix. Reporting to the VP of Data & Analytics, this person will serve as a thought leader and subject matter expert in our Data Science function, and will manage our existing team as well as grow and scale the team to take our algorithms to the next level to help accelerate our already incredibly fast growth.

In this role, you will evaluate our current business & technical systems, gain a deep understanding of our future state, and will hire, build, train, and develop a team of data scientists. You’ll define and strive to solve key business challenges by reframing core issues into solvable problems, partnering with product managers, engineers and managers, and a range of stakeholders to drive cross-departmentalization alignment, as well as position Transfix as a leading player in Data Science within the logistics space.

This role is ideal for you if you are a data science subject matter expert and passionate people leader who is motivated to coach and develop teams to meet their full potential, and want to be a part of a growing organization that is driving automation and sustainability in a critical industry.

What You’ll Do In this Role:

Manage, develop, and recruit a growing team of data scientists; provide effective leadership and mentorship while fostering a culture of collaboration, autonomy, and excellence
Partner with stakeholders to understand key business challenges and priorities; present insights, unlock opportunities, and develop solutions that aim to address organizational roadblocks
Position yourself as a thought partner across the business by harnessing the power of data to drive effective decision making
Define, manage and update project pipelines
Develop a thorough understanding of our current models and continuously find ways to improve their accuracy and efficiency
Streamline the adoption and usability of data science systems across the organization
Partner closely with talent acquisition team to define an effective recruitment strategy for data science with the goal of tripling the size of the team within your first year
Create, define, and deliver the data science roadmap for next 18-24 months by understanding business needs and prioritizations - and aligning the roadmap to business goals

How You Know this Role is For You:

You have 8+ years of experience working as a Data Scientist, Machine Learning Engineer or Applied Statistician
You have 5+ years of experience leading analytical teams and have preferably managed a team of Data Scientists that have deployed end models
You have a demonstrated history of expanding Data Science as a service within a company
You possess the technical ability and business acumen to effectively communicate with both technical and business stakeholders - you’re as comfortable speaking with an Engineer as you are with a Salesperson
You love to recruit  - you know how to identify Data Science talent and have a track record of hiring them
You have working experience building models that have been deployed to production and have added tangible value to a business
You have extensive programming experience in a language such as Python or R
You have experience querying SQL databases and working with data in business intelligence tools like Tableau or Looker
You’ve worked with a variety of machine learning techniques such as clustering, dimensionality reduction and decision tree learning
You have experience with advanced statistical techniques such as regression, sampling, simulation, and time series forecasting

You’re miles ahead If:
You have a graduate degree in Data Science, Economics, Statistics, Mathematics or another STEM discipline

#LI-Remote
#LI-SD1

Transfix is deeply committed to advancing diversity, equity, inclusion, and justice in our hiring, programming, and in our work both internally and externally. We recognize how critical diversity, equity, inclusion, and justice are to achieving our mission, our growth, and our success. In support of this commitment, some of our focuses include (but are not limited to):

-Developing policies, procedures, and services to our employees, carriers, and shippers that uplift and        protect to prevent inequalities
-Building relationships among our employees, customers, and supporters that are reflective of our community
-Prioritizing the inclusion of diverse communities and underrepresented groups in internal leadership
-Fostering a culture of compassion, empathy, open-mindedness, compassion, and inclusivity
-Creating and maintaining opportunities for continuous education, discourse, and engagement related to issues of equity, diversity, inclusion, and social justice

Transfix is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Transfix are based on business needs, job requirements, and individual qualifications, and are made without regard to race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. It is Transfix’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. Transfix does not and will not tolerate discrimination or harassment based on any of these characteristics. Transfix encourages applicants of all ages.

To all recruitment agencies: Transfix does not accept unsolicited agency resumes and will not be held responsible for any fees related to unsolicited resumes.


Sr Data Scientist

Are you passionate about Data? Are you excited by the opportunity to build a beloved B2B brand? Do you want to have a significant impact at a high-growth startup?

At OpenPhone, building simple and delightful experiences is not only our competitive advantage but a value we hold dear. This philosophy applies to everything we do; from the way we work to the look and feel of our product, from the infrastructure it’s running on to our content, customer interactions, and everything else.

As a Sr. Data Scientist at OpenPhone, you'll have the opportunity to dive into large datasets to guide decision-making.  We tackle a wide range of exciting challenges including sales forecasting, lead scoring, operational optimization, product launches and more.  If you're someone who enjoys finding patterns, speaking through data, and has experience using analytics to impact revenue, growth, and operations, we're looking for someone like you!

Here Are Some Things That You'll Do:

Use quantitative analysis and the presentation of data to share beyond the numbers and understand what drives our business
Build full-cycle analysis using SQL, R, Python, or other scripting and statistical tools
Produce recommendations and use statistical techniques and hypothesis testing to validate your findings.
Provide insights to help business and business leaders understand marketplace dynamics, user behaviors, and long-term trends
Identify and measure levers to help move essential metrics and make recommendations
Report against our goals by identifying essential metrics and building executive-facing dashboards to track progress
Collaborate with engineering to implement, document, validate, and monitor our evolving data infrastructure

About You:

Degree in Analytics, Data Science, Economics, Statistics or a related field
Experience in analytics, statistician, data scientist or consultant role
Ability to work on large databases and synthesize into useful reports and dashboards
Strong proficiency in SQL, R/Python, Tableau, Mode, other Business Intelligence tools
Ability to deliver actionable insights by synthesizing data into useful formats, and influence through logic, interpretation of data and effective communication.
Ability to manage and influence senior, cross-functional stakeholders
Strong business communication skills, both verbal and written
Familiarity with SaaS Enterprise systems and SaaS business operations a plus
Organized, attentive to detail, and intellectually curious

There's no such thing as a 'perfect' candidate. We're looking for an optimist with grit and determination, who is excited to face the challenges of a growing startup. OpenPhone is the type of company where you can grow, and we encourage you to apply to us even if you don't 100% match the exact candidate description.

About OpenPhone

OpenPhone is a new type of business phone. Our mission is to help people communicate better and be more productive.

We’re backed by Y Combinator and the best venture firms including Craft Ventures, Slow Ventures, Kindred Ventures, and others. We're serving thousands of businesses around the world and growing quickly. We take a lot of pride in providing an exceptional customer experience and a product people love. Our customers rated us #1 on all possible categories on G2 Crowd.

We're a distributed team working from around the world - San Francisco, Seattle, Ottawa, Moscow, Manila, Sydney, and many more.

We are committed to creating an inclusive workplace that values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Data Scientist App Ecosystem

Clio is more than just a tech company–we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.
We are currently seeking a Data Scientist, App Ecosystem to join our Business Operations department in Burnaby, Calgary, or Toronto. This role is also available to remote candidates across Canada, excluding Quebec.
What your team does:
The App Ecosystem team is a cross-functional team, made up of folks in software development, product design, product marketing, app partnership management and dev relations - and we are so excited to welcome a data scientist to our group! The App Ecosystem team’s goal is to create a thriving and profitable ecosystem for 3rd-party developers to deliver legal technology to our customers. We already have 200+ integrations but we're only just getting started.
Who you are:
We are currently seeking a Data Scientist to be embedded on our App Ecosystem team, collaborating to guide rapid iterations of hypothesis, prioritization, experimentation, analysis and roll-out (supported by our Director of Data Insights and team of data scientists). You will help build a scientific culture in our Product team, help our business grow, and help our customers succeed. You’ll contribute to the success and growth of Clio’s App Ecosystem - both the success of our third-party app partners as well as value for customers using third-party apps. You’ll also help lay the foundation for this work by assisting us with the development of a tracking plan to ensure we have the data needed.
We aren’t looking for just any traditional Data Scientist to join this team. We’re looking for someone who takes data seriously, thrives in a rapid-growth, high-velocity environment, and someone who lives and breathes their values. We’re looking for an innovator and a thought leader! We’re looking for someone who is:

Passionate about driving growth empirically;
Always looking to innovate with data and explore open-ended questions;
Strategically minded and never shies away from a challenge;

Self-motivated and able to work autonomously and collaboratively;

Agile and responsive, and comfortable with constant change.

What you’ll work on:

Collaborate with the App Ecosystem team to identify opportunities, develop hypotheses, and run experiments that drive growth;
Ensure that the data needed for our hypotheses and experiments is available and usable (event tracking, data modelling);
Identify new questions about our business, product, and customers that lead to impactful insights for the success of our third-party app partners and our customers, related to the App Directory;
Build predictive models to forecast the impact of specific App Ecosystem initiatives;
Establish requirements and best practices for event tracking, testing frameworks, and other data collection to enable new insights in a scalable and predictable way;
Innovate new techniques in statistical analysis, machine learning, and data mining to unlock opportunities in the App Ecosystem using both small and large datasets;
Build a scientific culture in the Product team by enabling discussions with data, disseminating best practices, and leading by example.

What you may have:

An undergraduate or graduate degree in a relevant quantitative discipline (computing science, statistics, mathematics, etc.)
3-5 years applied experience in data science;
Experience in product analytics working with product and user behaviour data;
Experience working with smaller datasets (e.g. Bayesian approaches) and making effective inferences using the volume of data available;
Proficiency in database modelling, SQL, and data warehousing principles;
Proficiency in developing analysis in Python, R, or a similar language;
Strong team player mindset, but able to work under own initiative and manage time effectively;
Excellent written and verbal communication skills.

Serious bonus points if you have:

A deep understanding of SaaS business metrics and growth drivers;
Experience with App Marketplaces or App Directories.

Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility
Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.
Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.
Learn more about our culture at clio.com/careers.
About Clio
At Clio, we are on a mission to transform the legal experience for all. As the world's leading provider of cloud-based legal software, we provide lawyers with low-barrier, affordable solutions to manage and grow their firms more effectively, more profitably, and with better client experiences. Through the cloud, we believe that we can help create a more inclusive legal community and a more equitable legal system.  We are an award-winning team that has been recognized as one of Canada’s Best Managed Companies, Canada’s Most Admired Cultures and has topped Fast Company’s list of Most Innovative Companies. In line with our mission, we’ve been up to some big things, including becoming a multi-product company, launching a $1 million COVID-19 Legal Relief Initiative, and most recently, securing a US$110M Series E funding round and a USD $1.6B valuation.This is a historic moment in the growth of legal technology! As the first legal practice management unicorn globally, and one of only a handful of Canadian unicorns, this is only the beginning. If you’ve ever wanted to do the best work of your career, while having a meaningful impact in the lives of others, then Clio is the place for you.


Senior Data Scientist

Company Description
Dropbox is a leading global collaboration platform that's transforming the way people work together, from the smallest business to the largest enterprise. With more than 500 million registered users across more than 180 countries, our mission is to design a more enlightened way of working. From our headquarters in San Francisco to eight dedicated Studios and a worldwide team of employees who choose where they work best, our Virtual First approach is leading the way into the future of work.
Team Description
Our Product team advocates for our users and our business, setting the vision for our growing family of products. We use data, research, strategy, and empathy to guide multidisciplinary teams toward a common goal, balancing diverse perspectives and empowering our teams to do great work. As we scale globally, there’s plenty of space for you to grow alongside us and simplify life for millions of people around the world in team that always focuses on we, not I, and creates delightful products that are worthy of trust.
Role Description
We're looking for a Senior Data Scientist to partner with revenue, marketing, and product teams to answer key questions about how to grow revenue, scale and monetize the business, and launch high-impact initiatives for Dropbox. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company.
Responsibilities
Develop a deep understanding of customer journey phases and key business metricsPerform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experimentsInform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insightsCreate personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes Identify key trends and build executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets Translate complex concepts into implications for the business via excellent communication skills, both verbal and writtenUnderstand what matters most and prioritize ruthlesslyWork with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate
Requirements
Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field3-5 years experience using analytics/data science to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consultingProven track record of being able to work independently and proactively engage with business stakeholders with minimal directionSignificant experience with SQL and large unstructured datasets such as HadoopProficiency in programming/scripting and knowledge of statistical packages like R or Python is a plusDeep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision treesStrong verbal and written communication skills
Dropbox is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, Latinx, Pridebox (LGBTQ), Vets at Dropbox, Women at Dropbox, ATX Diversity (based in Austin, Texas) and the Dropbox Empowerment Network (based in Dublin, Ireland).
Benefits and Perks
Generous company paid individual medical, dental, & vision insurance coverage

401k + company match
Market competitive total compensation package
Free Dropbox space for your friends and family
Wellness Reimbursement
Generous vacation policy
11 company paid holidays
Volunteer time off
Company sponsored tech talks (technology and other relevant professional topics)


Data Science Manager Data Science

Company Description
Dropbox is a leading global collaboration platform that's transforming the way people work together, from the smallest business to the largest enterprise. With more than 500 million registered users across more than 180 countries, our mission is to design a more enlightened way of working. From our headquarters in San Francisco to eight dedicated Studios and a worldwide team of employees who choose where they work best, our Virtual First approach is leading the way into the future of work.
Team Description
Our Engineering team is working to simplify the way people work together. They’re building a family of products that handle over a billion files a day for people around the world. With our broad mission and massive scale, there are countless opportunities to make an impact.
Role Description
The Data Science team is a central function which seeks to leverage data to help make better business decisions. This team leverages a variety of data sources and quantitative techniques to synthesize stories around how our customers use our products and develop key insights and actionable recommendations for our product teams.
We're looking for a manager, who will lead a team of data scientists to partner with growth, revenue, and product teams to answer key questions about how to grow revenue, scale a business, and launch high-impact initiatives. You’ll will work alongside product, engineering, design, marketing and research group leads to advise on high value quantitative projects and help achieve strategic business goals, as well as partner with the growth organization to create and execute a quantitative monetization strategy tied to our products.
To do this, you’ll align key analytics projects for you and your team with business objectives, and communicate your insights broadly across multiple leadership teams. You’ll also have the unique opportunity to define what analytics means at Dropbox by influencing groups across the company to better understand how they can leverage data to achieve their most ambitious goals. At the same time, you will get to lead an amazing team of talented, passionate data scientists and partner with senior leaders across Dropbox functions to shape the future of our business.
Responsibilities
Develop a deep understanding of customer journey phases and key business metricsPerform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experimentsInform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insightsCreate personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes Identify key trends and build executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets Translate complex concepts into implications for the business via excellent communication skills, both verbal and writtenUnderstand what matters most and prioritize ruthlesslyWork with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate
Responsibilities
Build and manage a team of high performing team of data scientists to deliver best in class analytics Work with cross-functional teams (including Growth, Marketing, Product, Engineering, Design, User Research) to rapidly execute and iterate on our growth & monetization strategyLeverage data-driven insights to proactively identify most impactful opportunities, and inform future experimentation design and product roadmaps  Create personalized segmentation strategies leveraging ML models to enable targeting of offers and experiences based on user attributes Identify key metrics and leverage automated dashboards to track health of the businessEnsure active collaboration with cross functional partners and perform analytical deep-dives to analyze problems, size opportunities and optimize through experimentation. Translate complex concepts into implications for the business via excellent communication skills, both verbal and writtenCoach, mentor and help set strategy for Data Scientists to drive even more impact for the teamUnderstand what matters most and prioritize ruthlessly
Requirements
Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field5+ years experience of leveraging data-driven analysis to influence key business decisions, preferably in a tech company2+ years directly managing data scientists, quantitative researchers, or product analystsProven track record of being able to work independently and proactively engage with business stakeholders with minimal direction & driver measurable business impactAbility to lead and inspire a team who converts data into insights Ability to influence prioritization and execution of high impact projects effecting customer experience and monetizationAbility to analyze large datasets and use data to inform product or business decision making, with a track record of driving directly measurable product or business impactExcellent verbal and written communication skillsPrevious experience building data driven programs and teams - experience with SQL and large datasets, deep understanding of statistical analysis & experiment design
Dropbox is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, Latinx, Pridebox (LGBTQ), Vets at Dropbox, Women at Dropbox, ATX Diversity (based in Austin, Texas) and the Dropbox Empowerment Network (based in Dublin, Ireland).
Benefits and Perks
Generous company paid individual medical, dental, & vision insurance coverage

401k + company match
Market competitive total compensation package
Free Dropbox space for your friends and family
Wellness Reimbursement
Generous vacation policy
11 company paid holidays
Volunteer time off
Company sponsored tech talks (technology and other relevant professional topics)


Staff Data Scientist Product

Are you interested in championing a product that makes work better? The science is clear: happier employees are more productive and stay at companies longer—everyone wins!
Who we are
We’re Humu — we build products based in behavioral science that help people grow and thrive at work. In short, we’re here to make work better.
Humu nudges people towards better ways of working, unlocking the potential of individuals, teams, and organizations. We enable companies to drive positive change by deploying personalized, scientifically-backed suggestions called nudges to employees. These nudges help people build better habits, work smarter and connect with their colleagues.
What you’ll get to work on
Humu’s Nudge Engine® deploys thousands of customized nudges—small, personal steps—throughout organizations to empower every employee, manager, team, and leader as a change agent. Over time, our nudges grow increasingly aware of the timing, messaging, and motivational techniques that inspire individual employees towards action.
The details
As a senior member of our Data Science team, you will:

Conduct rigorous analyses to understand how people interact, communicate, and collaborate, using large and complex product datasets
Transform messy, raw, complex product data into meaningful and valid features that effectively describe collaboration and communication behavior
Collaborate with non-Data Scientists in the Product Organization (Product Managers, Engineers, and Designers) to build new product features, and adopt a product mindset in all your analyses
Collaborate with our Behavioral Science team to design user-facing dashboards and insights that motivate and inspire action
Design meaningful metrics and KPIs to track product performance, and build internal dashboards to build a deeper understanding of our product internally
Learn from and collaborate with other Data Scientists, as well as mentor others on the team

Qualifications:

4+ years of industry experience working on a Data Science team; preferably a team that uses product usage/interaction data to drive product development and innovation
Expert knowledge of advanced statistical techniques  (e.g., regression, cluster analysis, social network analysis, latent profile analysis, hierarchical linear modeling, choice modeling, Bayesian methodologies, etc.)
Expert in R or Python
Proficient in SQL
Knowledge of Git a plus but not required
Knowledge of human behavior (e.g., economics, sociology, psychology) a plus but not required
Ability to translate data into compelling insights for a non-technical audience
Strong cross-functional collaboration and communication skills
Ability to navigate ambiguity and solve problems in a fast-paced environment


Data Scientist Product

Who we are
We’re Humu — we build products based in behavioral science that help people grow and thrive at work. In short, we’re here to make work better.
Humu nudges people towards better ways of working, unlocking the potential of individuals, teams, and organizations. We enable companies to drive positive change by deploying personalized, scientifically-backed suggestions called nudges to employees. These nudges help people build better habits, work smarter and connect with their colleagues.
What you’ll get to work on
Humu’s Nudge Engine® deploys thousands of customized nudges—small, personal steps—throughout organizations to empower every employee, manager, team, and leader as a change agent. Over time, our nudges grow increasingly aware of the timing, messaging, and motivational techniques that inspire individual employees towards action.
The details
As a member of our Data Science team, you will:

Use key metrics and KPIs to track product performance
Conduct high-impact analyses to understand how people are using our product, and which features are driving the most engagement
Use data to help our Product team more deeply understand our user base
Build internal dashboards to build a deeper understanding of our product internally
Learn from and collaborate with other Data Scientists

Qualifications:

0-4 years of experience on a Data Science team
Knowledge of common statistical techniques  (e.g., regression, cluster analysis, etc.)
Proficient in R or Python
Proficient in SQL
Knowledge of Git a plus but not required
Knowledge of human behavior (e.g., economics, sociology, psychology) a plus but not required
Ability to translate data into compelling insights for a non-technical audience
Strong cross-functional collaboration and communication skills
Ability to navigate ambiguity and solve problems in a fast-paced environment


People Science Intern Teams Research

Are you interested in championing a product that makes work better? The science is clear: happier employees are more productive and stay at companies longer—everyone wins!
Who we are
We’re Humu—we build products based in behavioral science that help people grow and thrive at work. In short, we’re here to make work better.
Humu nudges people towards better ways of working, unlocking the potential of individuals, teams, and organizations. We enable companies to drive positive change by deploying personalized, scientifically-backed suggestions called nudges to employees. These nudges help people build better habits, work smarter and connect with their colleagues.
What you’ll get to work on
Humu’s Nudge Engine® deploys thousands of customized nudges—small, personal steps—throughout organizations to empower every employee, manager, team, and leader as a change agent. Over time, our nudges grow increasingly aware of the timing, messaging, and motivational techniques that inspire individual employees towards action.
The details
Responsibilities:
As an intern on the People Science team, you will:

Use research and data to help us better understand team dynamics and how to drive behavior change within teams most effectively
Identify opportunities to build even more behavioral science into the Humu platform
Collaborate cross functionally to design, implement, and iterate new product features and user experiences
Contribute to the Humu nudge library
Inform our approach to capturing and interpreting new data signals that further optimize nudges and other behavioral interventions
Learn from and collaborate with other Behavioral Scientists, Data Analysts, and Data Scientists

Qualifications:

Enrolled in a graduate program in a field that uses research and analytics to understand and influence human behavior (e.g., Organizational Behavior, Social Psychology,  Industrial/Organizational Psychology, etc.), preference given to candidates who have completed at least their second year of graduate coursework

Deep expertise in research related to teamwork in organizations  (team effectiveness, collaboration, communication, etc.)
Experience analyzing group-level, team-level or dyadic data in a business or academic context
Passion for applying social science research to solve real-world organizational issues
Demonstrated knowledge of statistics and statistical software (e.g., R, SPSS, Stata)
Ability to communicate clearly and effectively, and to translate data into insights for a non-technical audience
Ability to navigate ambiguity and solve problems in a fast-paced environment

*This role is fully remote and open to US based candidates.


Staff Data Scientist Social Networks

Are you interested in championing a product that makes work better? The science is clear: happier employees are more productive and stay at companies longer—everyone wins!
Who we are
We’re Humu — we build products based in behavioral science that help people grow and thrive at work. In short, we’re here to make work better.
Humu nudges people towards better ways of working, unlocking the potential of individuals, teams, and organizations. We enable companies to drive positive change by deploying personalized, scientifically-backed suggestions called nudges to employees. These nudges help people build better habits, work smarter and connect with their colleagues.
What you’ll get to work on
Humu’s Nudge Engine® deploys thousands of customized nudges—small, personal steps—throughout organizations to empower every employee, manager, team, and leader as a change agent. Over time, our nudges grow increasingly aware of the timing, messaging, and motivational techniques that inspire individual employees towards action.
The details
As a senior member of our Data Science team, you will:

Conduct rigorous analyses to understand how people interact, communicate, and collaborate in the workplace, using large and complex datasets
Transform messy, raw, complex data into meaningful and valid features that effectively describe collaboration and communication behavior
Collaborate with non-Data Scientists in the Product Organization (Product Managers, Engineers, and Designers) to build new product features that rely on social network data
Collaborate with our Behavioral Science team to design user-facing dashboards and insights that use social network and communication data to motivate and inspire action
Learn from and collaborate with other Data Scientists, as well as mentor others on the team

Qualifications:

Strong background in human behavior, statistics and data analysis

PhD, Masters, or equivalent expertise in a field that uses data to understand and model human social behavior and social interactions (e.g., Social Psychology, Economics, Public Health, Political Science, Education, Behavioral Economics, Industrial/Organizational Psychology)

5+ years of experience working with social network data
4+ years of industry experience working on a Data Science team that uses product usage/interaction data to drive product development and innovation; experience with social networking apps or collaboration/communication software a plus but not required
Expert knowledge of advanced statistical techniques in addition to social network analysis (e.g., regression, cluster analysis, latent profile analysis, hierarchical linear modeling, choice modeling, Bayesian methodologies, etc.)
Expert in R or Python
Proficient in SQL
Knowledge of Git a plus but not required
Ability to translate data into compelling insights for a non-technical audience
Strong cross-functional collaboration and communication skills
Strong data visualization skills
Ability to navigate ambiguity and solve problems in a fast-paced environment


Intern Data Science

Job Requisition ID #22WD63894Autodesk customers make sense of the world through rich streams of data that might include 3D scans of buildings, fluid dynamic simulations, daily notes on the construction site, trends on product usage and more. As a Data Scientist Intern, you will get to apply your knowledge in data engineering, work with the latest machine learning models, contribute to the next-generation MLOps platform and make an impact by helping our customers create a better, safer, more sustainable world.   Responsibilities
Develop, prototype, and deploy machine learning models
Perform analysis on large datasets and produce qualitative visualizations based on reporting requirements
Develop analytical solutions and dashboards that integrate data from a wide variety of sources such as relational databases, AWS, data virtualization tools
Understand technology operations data from many different sources in detail to create these models
Optimize workflows and scripts on data lake for data cleaning, processing, and transformation
Extract and derive useful metrics and KPIs from raw data gathered from multiple data sources

Minimum Qualifications

Pursuing a Master's in Computer Science or Data Science.
Proficiency with data analysis using Python and experience with open-source data science toolkits (Pandas, SciKit-Learn, NLTK, etc.)
Familiarity with various statistical and machine learning techniques including classification, regression, dimension reduction, regularization, clustering and various multivariate methods
Familiarity with relational data modeling and SQL
Familiarity with Snowflake or comparable Data Warehouse and ETL tooling like Astronomer/Airflow and DBT.

Preferred Qualifications

Prior experience implementing and deploying data science models or data products in Production
Experience working in an Agile/SCRUM environment
Experience working in an AWS environment and leveraging its offerings such as EC2, S3, Lambda, Glue, Athena, SageMaker etc.
Be self-motivated, creative and collaborative

About the US Intern Program

The U.S. program runs from May through August for 12 weeks and will be remote (subject to change). All internships are paid. Interns have the opportunity to work alongside peers from universities all over the country and participate in intern events such as TED talks, mentoring, fun events, and more. US recruiting begins in the Fall and concludes end of March.

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers.


Security Data Scientist Duo Security

Duo Security, now part of Cisco, is the leading multi-factor authentication (MFA) and secure access provider.
With the Most Loved Company in Security and the global leader in network technology joining forces, there are more exciting opportunities than ever to be at the forefront of securing the cloud.
Our mission is simple: democratize security by making it easy and effective for everyone. We’re transforming security from the ground up by solving the world’s most pressing geopolitical challenge — safe, secure information access. We engineer our business to enable our customers to easily address their ever-evolving security challenges.
We believe that impactful work is rewarding work and that our team is at its best when everyone feels empowered to bring their whole self to work. We learn together by hiring for cultural contribution, not cultural fit, and recognize that diversity in background and thought are essential to building high-impact teams.
We invest in growth and learning opportunities and encourage our people to never stop learning. We foster collaboration and believe in being recognized (and rewarded!) for hard work. We champion a healthy work-life balance. We’re kinder than necessary.
Together we build for the future by designing simple solutions for complex problems. And that’s why we’re the most loved and trusted name in security.
About the team:
Duo’s data science teams empower our colleagues and customers to improve security outcomes and make data-informed decisions. We support product development and prioritization, architect Duo’s data analysis environment, research and build the models and logic behind Duo Trust Monitor and risk-based authentication flows, coauthor impactful public reports, participate in the security and data science research communities, and more. We spend a fair bit of time on the deceptively difficult task of counting things.
As part of this group, the Algorithms Research team brings Data Science and Security expertise together to develop product features that use data to improve security and user experience. We are an applied research team, working collaboratively with Engineering and Product on a daily basis to create tangible customer impact. From large scale anomaly detection models to simple rule-based detectors, we discover and deliver algorithms that solve the problem at hand while also driving innovation.
As a Data Scientist on our Algorithms Research team, you will…
Collaborate with Product Managers, Designers, and Engineers to develop and deploy algorithms that power Duo’s adaptive product capabilities. Some days you might be choosing thresholds for simple detection rules. Other days you might be experimenting with unsupervised anomaly detection at massive scale.Combine empirical investigation and security domain knowledge to understand the current landscape of threats faced by Duo’s customers.Represent a Data Science perspective during product development, helping teams appropriately prioritize data collection, feedback loops, and other prerequisites for future data work.Identify when machine learning isn’t the best solution to a problem, and collaborate with appropriate stakeholders to pivot to a design or engineering based solution.
You should have...
A strong grounding in at least one of Security, Data Science, or Machine Learning, with some experience and substantial interest in the others.Foundational knowledge of statistical and modeling techniques - you can reason about sampling and variance, evaluate model fit or predictive performance, and choose between modeling frameworks given problem, infrastructure, and data constraints.Fluency in at least one data analysis and modeling language (like Python or R), plus at least some familiarity with Python specifically. Experience delivering impactful research projects in an applied setting. A focus on collaboration with Engineers, Designers, Product Managers and other stakeholders. You know how to translate between data science vocabulary and a variety of product, user, and stakeholder perspectives.Excellent communication skills across multiple modalities, audiences, and contexts. We do a lot of our work through asynchronous messaging and documents.High tolerance for ambiguity and an appreciation for negative results, balanced by an eye for delivering incremental value where possible. You value an effective solution over a fancy model.
Even better if you have...
Experience applying data science tools to unsupervised problems in the security domain.Graduate-level expertise and/or formal education in statistics, data science, machine learning, computational sciences, or similar.Software Engineering training or experience, and comfort working with the AWS ecosystem.Experience working on a SaaS product.
WHY CISCO SECURE
#WeAreCisco, where each person is unique. We bring our talents to work as a team each day, helping power an inclusive future for all. Get to know us! We’re global, we’re adaptable, we’re diverse, and our security portfolio is as extensive as it is groundbreaking. Have you heard of Threat, Detection & Response, Zero Trust by Duo, Common Services Engineering, or Cloud & Network Security? Those are only a few of our product teams! The only thing we’re missing is YOU.
Join an enterprise security leader with a start-up culture, committed to driving innovation and giving you the opportunity to make an impact. We #InnovateToWin and we know we’re better together, that’s why we’re dedicated to inclusivity, collaboration, and diversity in everything we do.
We’re proud to be the Best Security Company in 2021 with the Best Authentication Technology and the Best Small and Mid-Size Enterprises Security Solution in 2022 by SC Media. Cisco Secure continues to grow and evolve year after year with 100% of Fortune 100 Companies using our products, and we’re excited to see the new heights we’ll reach with your passion for security, your customer focus, and your desire to change things up!
What else can you expect? An ongoing investment in your growth—that’s why we offer many employee resource groups (called Inclusive Communities), mentorship programs, and hundreds of learning resources to consistently level up your skillset and explore your interests. Because when you succeed, we succeed!
“Cisco Secure offers an environment that combines cutting-edge, mission-critical, technology with some of the brightest, most diverse set of people I’ve ever had the pleasure of working with.” – Chief of Staff, Engineering
Join Cisco Secure – Be You, With Us!
#CiscoSecureEng23
Duo is committed to cultivating and preserving a culture of inclusion and connectedness. We are able to grow and learn better together with a diverse team of employees. The collective sum of the individual differences, life experiences, knowledge, innovation, self-expression, and talent that our employees invest in their work represents not only part of our culture, but our reputation and Duo’s achievement as well. In recruiting for our team, we welcome the unique contributions that all potential candidates can bring in terms of their education, opinions, culture, ethnicity, race, gender identity and expression, nationality, age, languages spoken, veteran’s status, religion, disability, sexual orientation and beliefs.

And if this role is exciting to you, we encourage you to apply even if you don’t meet all 100% of the description or qualifications. Finally and most importantly, we are a proud Equal Opportunity Employer.

#LI-NG2


Senior Data Scientist Product Strategy Duo Security

As a Senior Data Scientist for Product Strategy on our Product Insights Enablement team, you will empower data-driven innovation by working closely with Duo’s Product org. In collaboration with Product Managers and Product leadership, you will create and coordinate relevant metrics, models, and analyses to improve the speed and effectiveness of Duo’s strategic and prioritization processes.

What you’ll do…
Build relationships across Duo’s Product org, maintaining broad context about Duo’s products and customers.Collaborate with data scientists embedded with product development teams to ensure that the product metrics they develop are centralized and available to appropriately inform product strategy.Work with domain experts through the business to establish and use shared metrics, models and concepts for customer segmentation, financial forecasting, customer retention, and more.Empower Product Managers and Product leadership to use data and models appropriately and effectively in their decision making processes.Become an expert on Duo's product metrics across the portfolio. Use your data detective and creative problem solving skills to identify and find solutions for any gaps in the data, and work collaboratively with other data scientists to advise on consistent cross-product understandings of these metrics.Communicate the results of any findings plus their limitations clearly to others who may have little experience interpreting complex data and who will share those complexities more broadly across the business and with customers.

Skills you have…
Background in statistics, product analytics, or another data-intensive field, with 3 or more years of experience in a relevant professional setting.Significant experience applying data modeling and analytics to decision making for a commercial software product (bonus points for experience with SaaS B2B products).Proven capability to work with a variety of partners to elicit and articulate their data needs.The ability to translate technical findings and their limitations to diverse audiences.Familiarity with SQL, R, Python, or other data analysis tools, with expert-level experience in at least one of these.An aim to leave data, processes, and pipelines better than you found them.Comfort working under ambiguity, and an ability to build clarity from uncertainty.

Even better if you have...
You have direct experience with product management for a SaaS B2B product.Knowledgable in the security sector.

Why cisco secure
#WeAreCisco, where each person is unique. We bring our talents to work as a team each day, helping power an inclusive future for all. Get to know us!
We’re global, we’re adaptable, we’re diverse, and our security portfolio is as extensive as it is groundbreaking. Have you heard of Threat, Detection & Response, Zero Trust by Duo, Common Services Engineering, or Cloud & Network Security? Those are only a few of our product teams! The only thing we’re missing is YOU.

Join an enterprise security leader with a start-up culture, committed to driving innovation and giving you the opportunity to make an impact. We #InnovateToWin and we know we’re better together, that’s why we’re dedicated to inclusivity, collaboration, and diversity in everything we do.

We’re proud to be the Best Security Company in 2021 with the Best Authentication Technology and the Best Small and Mid-Size Enterprises Security Solution in 2022 by SC Media. Cisco Secure continues to grow and evolve year after year with 100% of Fortune 100 Companies using our products, and we’re excited to see the new heights we’ll reach with your passion for security, your customer focus, and your desire to change things up!

What else can you expect? An ongoing investment in your growth—that’s why we offer many employee resource groups (called Inclusive Communities), mentorship programs, and hundreds of learning resources to consistently level up your skills and explore your interests. Because when you succeed, we succeed!

“Cisco Secure offers an environment that combines brand new, critically important, technology with some of the brightest, most diverse set of people I’ve ever had the pleasure of working with.” – Chief of Staff, Engineering

Join Cisco Secure – Be You, With Us!
#CiscoSecureEng23


Junior Data Scientist

Superpedestrian is engineering the future of micromobility. The Superpedestrian team is composed of some of the most talented operations specialists, policy managers, designers and engineers, all focused on transforming the future urban mobility. Our scooters, called LINK,  were designed to prioritize safety from the inside out, and our Superpedestrian team is dedicated to building meaningful local and city partnerships across the world. Join us!

Superpedestrian is seeking an ambitious and talented Junior Data Scientist to join in research and development of cloud software projects to apply data collected from next generation IoT hardware deployed in a variety of applications.  Potential applications may include computer vision, digital signal processing, fleet management, and user behavior analysis.

What you’ll do:

Analyze data collected from IoT devices using state of the art data analysis tools to identify modeling opportunities
Make use of state of the art machine learning techniques to create, maintain and improve statistical models of data collected from our IoT fleet
Write software to integrate models into cloud applications and workflows
Work with stakeholders to identify business value that can be delivered from models
Contribute to infrastructure for collaboration with other Data Scientists working on other capacities at Superpedestrian

What you’ll bring:

MS or equivalent experience in computer science, machine learning, digital signal processing or related field
Fluency in Python with a focus on Data Science
Experience with: Machine Learning frameworks such as Tensorflow or PyTorch, data science workbench such as JupyterLab, and Visualization tools such as Plotly, Matplotlib or bokeh.
Basic understanding of web architecture (preferred)
Enthusiasm for IoT systems

Why you'd want to join us:

We’re different.
We are born of engineers, not venture capitalists. Our control centre and test labs are located in Cambridge, Massachusetts, alongside MIT and Harvard University. We have some of the sharpest minds in the industry, and we hold more than 30 patents for our amazing technologies. None of our competitors come close.
LINK is the result of eight years developing our artificial intelligence-driven safety platform, and two years designing a robust chassis and efficient powertrain to match. We take our time to get our technology, our operations and our recruitment just right, because we think long-term.
And we’re growing fast. You’ll have the opportunity to shape our company and the way we work, and make a real difference to communities through our services.

Superpedestrian actively encourages applicants of all backgrounds. If you think you meet most of the requirements, but not every single point on the job description, please apply! We’d love to have a chat and see if you'd be a great addition to our team.


Principal Data Scientist Space Systems

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 a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, and The Netherlands.
About the Role:
The Space Systems division at Planet designs, develops, and operates Planet’s fleet of imaging satellites. We own the full lifecycle of satellite development, from concept to re-entry, and prioritize speed, efficiency, continuous improvement and scale as we field these systems. As a Staff Data Scientist you are responsible for partnering with Space Systems executive leadership and R&D/engineering teams to drive the remote sensing data science strategy that informs our development of next generation satellite hardware. You will be responsible for understanding the end user applications of our systems and products, working as a subject matter expert and embedded ‘product architect’ to inform our engineering roadmap. This will entail collaborating across multiple teams within Space Systems and Planet as a whole to define and derive requirements that will influence satellite design, and performing the necessary analysis to be sure the satellites of today are compatible with the cutting edge applications and products of tomorrow.
Crucially, this is a very visible and cross-functional role requiring excellent collaboration and communication skills and you must demonstrate a strong commitment to Planet’s cultural values, agile principles and leadership through influence to succeed. You will partner directly with the chief spacecraft architect, executive program sponsors, product managers, and spacecraft design teams, and act as a bridge to many more teams including core imagery and data platform engineering teams, analytics and sensor fusion R&D teams, and sales and product marketing teams as necessary.
Impact You’ll Own:

Space Systems’ primary product stakeholder and subject matter expert for Planet’s future analytical offerings, acting as the bridge between mission/satellite development and downstream analytics product offerings in order to create a closed loop feedback cycle early on in new mission specification
Accountable for ensuring that future satellite capabilities clearly represent and serve Planet’s commercial, technical and product roadmap
Liaising with Planet’s product management and product marketing teams to validate imagery product requirements via analysis, and negotiating changes as necessary
Converting Planet’s market use cases into specific and actionable remote sensing requirements to inform new remote sensing system development
Helping to drive the remote sensing data science strategy to make sure Planet’s new systems are collecting the right information at the right time at the right price to maximize their business and impact value
Acting as Planet’s ambassador for future capabilities to potential partners, customers and internal stakeholders as needed
Pushing the boundaries of the possible in using automated analytics to derive value from geospatial data, with sensor selection and onboard/edge in mind
Supporting the Planetary Variable, analytics SW, the EOLab R&D and other teams on high priority roadmap work as needed
Fostering greater consistency of engineering practices across software teams, and providing “golden paths” to support those practices

What You Bring:

Demonstrated capability as both leader and individual contributor throughout the journey from design through shipping and operations
Passion for identifying opportunities to improve practices, explore solution options, and socializing ideas with colleagues toward fostering common cause
Mentorship of engineers and “lifting all boats” in an organization
Passion for improving the status quo and making teams work better together
A strong interpersonal skill set where team alignment can consistently be delivered and maintained
Experience working with synthetic/simulated/surrogate imagery datasets and imaging physics models, and a deep understanding of the strengths and limitations of such tools
Experience with remote sensing time series analysis, data structures, and building complex models
Vast experience as an end user of satellite imagery for remote sensing, GIS applications, and advanced analytics
Exceptional understanding of the current and future needs of analytics and machine learning thresholds for extracting maximal utility out of our satellite data
The ability to operate effectively and decisively in an information rich environment with minimal guidance and extended autonomy
The ability to make decisions that align with Planet’s technical and strategic roadmap as well as Planet’s core values
A willingness to travel to Planet HQ in SF as needed

Benefits While Working at Planet:

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

Some Press About Us:
Our CEO, Will Marshall featured on TED and featured in a Planet Blog
“Planet: Bringing Space Back Down to Earth”
Tiny, privately owned satellites are changing how we view the Earth features in NBC News
“Planet And Rocket Lab Create Mission Patch To Honor Women In Aerospace” —Planet Blog
Why we care so much about Belonging.
We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate  north star of Belonging, dreaming big as we approach our ongoing work with diversity, equity and inclusion.  If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply!  At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description.  We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts.  We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride.
EEO statement:
Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.
Accommodations:
Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the interview process, please call Planet's front office at 669-214-9404 or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.
Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
Compensation (only applicable for Colorado applicants):
The base pay range targeted for this position in Colorado is: $156,600 - $243,900. This role is eligible for equity.
The actual offer, including the compensation package, is determined based on multiple factors, including experience, location, and other business considerations.
Planet is registered as an employer in many, but not all, states. If you are not able to work from a state where Planet is registered, you will not be eligible for employment.
#LI-REMOTE
#LI-CL1


Manager Data Science Analytics Central Analytics

Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 90 billion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.

As a senior member of the analytics team, you will deliver re-usable data products for use by executive, operations, partnerships, product, and engineering teams. You will collaborate with data engineers, data scientists, product managers, and operations analysts to develop and drive the data analysis strategy for Chartboost’s data platform. You will create re-usable, and easily maintainable data products, dashboards, design and execute A/B tests. Our data is massive ~4.3PB, with ~100TB ingested daily. If you’re looking for the rare opportunity to solve complex challenges at scale and impact the ad-tech ecosystem in a meaningful way, you will find this role compelling and rewarding.
Impact you will make:

Deliver analyses and reporting to the leadership team to track achievement and performance of financial targets. Deliver weekly deep-dives on opportunities and gaps in business performance. Empower the leadership to make critical business decisions.
Design and execute A/B tests to compare performance of new features and strategies vs. benchmark. Empower product team to evaluate product performance.
Develop statistical and machine learning models that drive product insight and impact product vision
Design and execute analyses to key operational questions to improve yield revenue, and profitability of advertising campaigns. Empower the operations and business teams to prioritize advertisers, and publishers and test operational strategies.
Define, prioritize and deliver analytics roadmap and product features based on business requirements.
Take ownership of the data and visualization strategy for the analytics team.
Manage members of the team by providing technical and career guidance

Who you are:

BS in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters, MBA or PhD preferred
5+ years of experience as a data analyst ideally with 1+ years of experience in digital advertising or gaming
Fluent in SQL; Solid experience with programming in Python; Adept in at least one visualization tool such as Tableau, or QlikView
Demonstrable experience with some or all of the following: statistics, experimental design, machine learning, deep learning
Experience in analyzing large datasets, preferably in a Hadoop or Spark environment, and deploying production ready systems at scale
Strong written and oral communication skills
Ability to work effectively in a fast-paced environment with changing priorities
Ability to collaborate effectively with engineers, product managers, analysts, and marketing to deliver unambiguous business impact

Perks:

Comprehensive medical, dental and vision insurance
401(k) plan with match through Fidelity
Catered lunches and fully stocked kitchens
Commuter Program
Flex Vacation – personal time to refresh your mind/body/soul, spend time with loved ones and celebrate life events. There is no accrual or specific limit to the amount of time an employee may use

More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind.  Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
California Residents, please review the Chartboost California Employment Candidate Privacy Notice before submitting any personal information.


Senior Data Scientist

About The Role
The Analytics team does product research, builds analytical frameworks and forecasts, tells data stories, and makes recommendations so that Mixpanel can run on data. Since Mixpanel's mission is to enable our customers to be data-driven, it is only natural that Mixpanel itself is serious about being data-driven too. As a result our team's scope covers the entire business and product.
We believe analytics is a profession. We inform the most important decisions the company makes with our analyses. We ensure everyone at Mixpanel has easy access to the data and research they need. And because Mixpanel builds an analytics product, we are a valuable input for our product teams as they build future analysis features.
Responsibilities

Answer Mixpanel's biggest business and product questions to inform our strategy and operations.
Work with Mixpanel’s leadership to identify the highest priority strategic questions, and define a research roadmap to answer them.
Lead quantitative research to discover:

The relationships between user-level behavior in Mixpanel and organization/customer-level outcomes.
The best strategies for our product, marketing, and sales teams to drive higher user adoption, customer happiness, and revenue growth.
The best proxy metrics for teams to use to achieve company goals.

Conduct regular metrics and research reviews with company leaders.
Forecast metrics and attribute metrics trends to internal and external factors.
Design the right “data interfaces” or data UX for internal users in operational teams to get easy access to the right data at the right time to best do their jobs.
Communicate analysis insights at all levels of the organization to drive positive change.

We're Looking for Someone Who Has

Experience driving dramatic positive change with recommendations rooted in data analysis and quantitative research.
Ability to work with structured and unstructured data, including:

Advanced SQL
Scripting ability in Python, R, or a similar language.
Familiarity with cloud-based data warehouses, dbt, and collaborative data science notebooks.

Hands-on experience building and deploying statistical and/or machine learning models.
Experience collaborating effectively with teams and leaders in different parts of a business.
Strong written and verbal communication

 #LI-JY1


Senior Data Scientist

Why you?
You are a mission driven, customer obsessed, natural problem solver. You dig balanced startup life and can wrestle challenges and change with composure. You are a fearless and collaborative communicator, with the ability to make quick decisions while always in learning mode. You love big, interesting problems and bringing solutions to the masses while making sure it feels personal, authentic and connected. If this sounds like you, we'd like to talk.
Why us?
The Mom Project is a pioneering, remote-first venture-backed startup with roots in Chicago. We are backed by some of the best investors in the world and are lucky to be surrounded by an incredible team of advisors, including Serena Williams.
The Mom Project is a platform and community leading a cultural movement that matches companies with diverse talent. To date, our platform has unlocked over $300M in earning potential by connecting our 1M+ moms, dads and allies with opportunities at world class brands like Apple, Accenture, Etsy and Nike… and we are just getting started!
Our team is growing as we push to rewrite the narrative for working women at every stage of life. We believe women should be able to choose both a successful family life AND career aspirations without sacrificing one over the other.
TMP Diversity Statement
We move forward when we all move together.
At The Mom Project, we understand the Moms we serve are not all the same and neither are the employees that support her. We are inspired by people who come from all walks of life.
Equality and inclusion at TMP is recognizing and honoring the uniqueness of each person who works to bring our mission to life, valuing all dimensions of diversity as our greatest asset.
We are committed to being a safe, respectful, fair, and inclusive culture for all.

About the Role:
We’re looking for a Senior Data Scientist to join our team! Our newest team member will lead the development, evaluation, and deployment of our resume-job match engine
Our data science team is full-stack, meaning we own the DS process end-to-end from training models to API deployment. We code in Python, and we use technologies like Docker, Redshift and PyTorch. We work in two-week sprints with daily scrums, bi-weekly planning, demos, and retros.
This role requires machine learning and natural language processing skills, experience using Elasticsearch, and fluent Python.
What you’ll do:
Collaborate with data scientists, data engineers, product managers, and other TMP personnel to build new ML/AI features into our hiring and career management platform Lead the development of our NLP-based resume-job description match engine Work with product managers, data engineers, and solutions architects to scope out requirements for a project Undertake one-off ad hoc exploratory analyses to inform plans for delivering new AI/ML-based features Contribute to team’s knowledge and help us come up with the best processes for our team Advocate for best data practices including thinking about what data we should be collecting Develop tools to monitor our models and ensure their performance doesn’t degrade Write production-quality Python code for training, evaluating, deploying, and monitoring machine learning models Research how best to address particular business requirements using ML/AI techniques, making sure to keep in mind available time and resources
About you:
You have 5-10 years experience in software engineering, data engineering, or full-stack data science, ideally using Python You have solid SQL skills and an ability to gather and prepare the data you need to build match and other machine learning models You have, or can quickly develop, the capabilities to work as a full-stack data scientist, with an ability to write production-ready Python code, build and evaluate models from scratch, and run exploratory analyses of data You have an understanding of machine learning approaches including supervised and unsupervised modeling, collaborative filtering, deep learning, and natural language processing You apply industry best practices for data science projects You have experience writing production Python code that follows best software engineering practices including writing unit tests and Dockerizing projects You have a willingness to take on whatever work needed to get our AI/ML capabilities into production You are humble, curious, and hard-working

Why you’ll love working for TMP:
Compensation & Benefits:
Base Compensation Full medical, dental, vision Short and Long Term Disability Generous Paid Parental Leave Family planning benefits through Progyny Generous PTO (that people actually use!) 401K match Career Pathing Flexibility/Autonomy Talkspace
Let me see those Perks, Perks, Perks!
An incredible remote team that will support and champion your work Casual Culture: because work should be a place you want to be Health and Wellness stipend Learning and Development stipend Work From Home Stipend
Pay Transparency: The pay range for this position is $114,000-$172,000 and doesn't include our benefits and very generous equity package. This pay range may be adjusted for certain geographies, based on local labor costs. If you are hired at The Mom Project, your final base salary will be based on factors such as geographic location, skills, and depth of experience.
We're just getting started. Join us in building the future of work.


Data Scientist Machine Learning And Algorithms Risk Management

Binance is the global blockchain company behind the world’s largest digital asset exchange by trading volume and users, serving a greater mission to accelerate cryptocurrency adoption and increase the freedom of money.
Are you looking to be a part of the most influential company in the blockchain industry and contribute to the crypto-currency revolution that is changing the world?
Data driven based business is the core in helping  to use cloud native platform to serve tens of millions of crypto-currency users. Engineers and Data Scientists across the company use the data platform to do interesting and impactful analysis for continuous innovations.
As a data scientist, you will have the opportunity to leverage rich data (PB-level scalability) and state-of-art machine learning infrastructure to develop data products which are used by our tens of millions of crypto-currency users.
You will collaborate with a strong team of engineers, data analysts, business operation and product/marketing managers to define and build solutions, features, algorithms and products based off our rich data and cutting-edge machine learning technology.
Responsibilities:
Universe risk management: data analysis and modeling to KYC, payment, credit, exchange scenesUser behavior and pattern analysis
Leverage of our PB-scale data warehouse to perform in-depth analysis to build personalized services and provide abnormal user automated recognitionDigital data asset
Obtain the blockchain based data to perform chain-based data analysis, prediction and recommendations
Data driven customer feedback and satisfaction analysis: leverage of machine learning techniques to understand customer’s feedback and satisfaction with proven data evidence and analysis
Requirements:
2+ year experience developing machine learning models at scale from inception to business impact
Deep understanding of modern machine learning techniques and mathematical underpinning, such as classifications, recommendation systems, optimization and etc.
Working with data size from Terabyte to Petabyte scale
Good experience with Python, Java and/or Scala is preferred (2+ years) with solid project experience
Excellent communication skills (English Reading/Writing skills are required)
Master’s Degree with at least 2 years machine learning experience or PhD
Experience in Deep Learning is a plusExperience in productionizing machine learning models is a plus
Working at Binance
•     Do something meaningful; Be a part of the future of finance technology and the no.1 company in the industry
•     Fast moving, challenging and unique business problems
•     International work environment and flat organisation
•     Great career development opportunities in a growing company
•     Possibility for relocation and international transfers mid-career
•     Competitive salary
•     Flexible working hours, Casual work attire
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Data Scientist Lead

Data Scientist, Lead
The Challenge:
Are you a seasoned analytics professional who wants to be at the cutting-edge of data science and artificial intelligence? If you care about leading a mission forward as much as advancing the field of data science, this is the opportunity for you. Your deep analytics and consulting expertise, coupled with an original approach to your work, will guide clients and stakeholders as they make sense of their data and encourage actionable results. We’re looking for someone like you to lead complex data exploration and analytics projects.
As an advanced data scientist on our AI team, you’ll introduce innovative methodologies to make a real-world impact on fraud prevention and healthcare. You’ll share your skills in data science, AI and machine learning and shape the future of analytics through a variety of means like business development and intellectual capital creation including peer-reviewed papers, or major conference presentations.
We’ll keep you sharp and moving forward in your career, with access to online courses, the latest tools and methods and opportunities to publish or present at conferences. Whether you’re using AI to detect fraud, waste and abuse or enhancing the quality of healthcare for Veterans, you’ll lead a team that serves critical missions from end to end. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.
Join us. The world can’t wait.
You Have:
6+ years of experience with data science, data analytics, bioinformatics, machine learning or data engineering, including in a management or advisory roleExperience with programming languages, including SQL, Java, R, Python, or PySparkExperience with cloud computing technologies including AWS, Azure, or GCPExperience with creating solutions within a collaborative, cross-functional team environmentAbility to explain analytic and model findings to senior leadership and non-technical audiencesAbility to obtain a security clearanceBachelor’s degree
Nice If You Have:
3+ years of experience with project management, including providing technical direction and leadership to data science teamsExperience with developing and implementing successful market strategies and business developments and leading proposal, project, and intellectual capital creationExperience with fraud detection analytics and data, including developing predictive models around fraud, risk, or other rare eventsExperience in working with healthcare data, including claims, electronic health records, or financial transactions and paymentsKnowledge of the landscape of technology capabilities around AI/ML, including experience with a wide range of supervised and unsupervised machine learning techniques, including neural networks, decision trees, logistic regressions, or dimension reduction
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation:
At Booz Allen, we celebrate your contributions, provide you with opportunities and choice, and support your total well-being. Our comprehensive benefit offerings include healthcare, retirement plan, insurance programs, commuter program, employee assistance program, paid and unpaid leave programs, education assistance, and childcare benefits.
The salary for this position will be determined based on various factors. The proposed salary range for this position in Colorado is 130,000 to 170,000.
Build Your Career:
At Booz Allen, we know the power of analytics, and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you’ll have the chance to:
access online and onsite training in data analysis and presentation methodologies and tools like Hortonworks, Docker, Tableau, and Splunkchange the world with the Data Science Bowl—the world’s premier data science for social good eventparticipate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government
You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, on-site boot camps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success.
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.


Data Scientist Mid

Data Scientist, Mid
The Opportunity:
As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by the internet of things, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors including fraud detection, cancer research, and national intelligence, we need you to help find the answers in the data.
On our team, you’ll use your analytical skills and data science knowledge to create a real world impact. You’ll work closely with your clients to understand their questions and needs, including digging into their data rich environments to find the pieces of their information puzzle. You’ll develop algorithms and systems, and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.
This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.
Work with us as we use data science for good.
Join us. The world can’t wait.
You Have:
2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining2+ years of experience with statistical and general purpose programming languages for data analysis, including Python, R, C or JavaExperience analyzing structured and unstructured data sourcesExperience developing predictive data models, quantitative analyses and visualization of targeted data sourcesKnowledge of Machine Learning, Artificial Intelligence, or Natural Language ProcessingKnowledge of text mining or machine learning techniquesAbility to obtain a security clearance  Bachelor’s degree
Nice If You Have:
2+ years of experience in the development of algorithms leveraging R, Python, or SQL and NoSQL2+ years of experience using statistical software applications, including SAS or R2+ years of experience developing experimental and analytic plans for data modeling processes, using strong baselines, and accurately determining cause and effect relationshipsExperience with visualization packages, including Plotly, Seaborn, or ggplot2Secret clearance Master’s degree
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
At Booz Allen, we celebrate your contributions, provide you with opportunities and choice, and support your total well-being. Our comprehensive benefit offerings include healthcare, retirement plan, insurance programs, commuter program, employee assistance program, paid and unpaid leave programs, education assistance, and childcare benefits.
The salary for this position will be determined based on various factors. The proposed salary range for this position in Colorado is $85,000 to $95,000.
Create Your Career:
Grow With Us
Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.
A Place Where You Belong
Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll develop your community in no time.
Support Your Well-Being
Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.
Your Candidate Journey
At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us.
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.