Data Scientist Algorithms Machine Learning

At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.
Data Science is at the heart of Lyft’s products and decision-making. As a member of the Science team, you will work in a dynamic environment, where we embrace moving quickly to build the world’s best transportation. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building algorithms that power our internal and external products. We’re looking for passionate, driven Data Scientists to take on some of the most interesting and impactful problems in ridesharing.
As a Data Scientist, Algorithms, you will be developing mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We are hiring motivated experts in each of these fields. We're looking for someone who is passionate about solving mathematical problems with data, and are excited about working in a fast-paced, innovative and collegial environment.
You will report to a Data Science Manager.
Responsibilities:

Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context
Perform exploratory data analysis to gain a deeper understanding of the problem
Develop and fit statistical, machine learning, or optimization models
Write production model code; collaborate with Software Engineers to implement algorithms in production
Design and implement both simulated and live experiments
Analyze experimental and observational data; communicate findings; facilitate launch decisions

Experience:

M.S. or Ph.D. in Statistics, Operations Research, Mathematics, Computer Science, or other quantitative fields or related work experience
3+ years professional experience in a technology company setting involving a product
Passion for solving unstructured and non-standard mathematical problems
End-to-end experience with data, including querying, aggregation, analysis, and visualization
Proficiency with Python, or another interpreted programming language like R or Matlab
Ability to collaborate and communicate with others to solve a problem

Benefits

Great medical, dental, and vision insurance options
Mental health benefits
Family building benefits
In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
401(k) plan to help save for your future
18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
Pre-tax commuter benefits
Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Lyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
Until further notice, Lyft employees working in the United States and Canada in any capacity (on a daily or hybrid schedule, remote, or as a visitor) are required to provide proof that they are fully vaccinated and up to date against COVID-19. Fully vaccinated and up to date means an employee has: 1) received all recommended doses in a primary series of COVID-19 vaccine; and 2) either has received a booster dose or is not yet eligible to receive a booster dose but will do so when eligible. Lyft will maintain records associated with your vaccination history in a way that is compliant with all relevant Federal, state and local laws. Exceptions to this requirement are employees who require religious or medical exemption as approved through Lyft's accommodations process. New employees must provide proof of full vaccination or receive an accommodation exception approval prior to their start date.
This role is work-from-anywhere, excluding the following states and U.S. territory: Alabama, Delaware, Iowa, Kansas, Mississippi, Oklahoma, West Virginia, Puerto Rico
For candidates living in Colorado the expected base pay range is $154,000-$179,400 depending on a variety of non-discriminatory factors, including qualifications, experience and geographic location.


Data Scientist Causality

Metaculus is one of the largest forecasting platforms and communities today with over 950,000 forecasts on over 6,000 questions. We’re best known for our focus on science and technology forecasting that benefits the public. Our mission is to build epistemic infrastructure that enables the global community to model, understand, predict, and navigate the world’s most important and complex challenges.As a Data Scientist focused on Causality, you'll make key contributions to an important next step in the evolution of our platform: enabling forecasting-based decision making. You'll also work with our rich, extensive dataset to grow our causal understanding of key variables – forecast accuracy and question popularity, for example – and to enable data-driven internal decision making, ensuring the long-term health and growth of the platform.You'll work with a team of talented engineers and researchers who are deeply engaged with and passionate about our mission, in an impact-focused culture that values learning, growth, and autonomy. A deep theoretical understanding of causality, especially causal inference A proven track record of applying ideas from causality to drive decision making in practice A solid understanding of data science, and experience applying it in industry Metaculus's mission resonates strongly with you Metaculus offers competitive compensation and flexible benefits, including health insurance cost reimbursement. Metaculus is an equal opportunity employer that knows and appreciates the benefits of a diverse workforce.


Quantitative Research Analyst Ai Forecasting

The speed, sophistication, and impacts of AI technology development together comprise some of the most astonishing and significant events of our lifetimes. Clearly, AI development promises both enormous risks and opportunities for society. To help humankind navigate this crucial period, Metaculus is building a team dedicated to AI forecasting.As a Quantitative Research Analyst in AI Forecasting, you’ll use quantitative modeling to improve our ability to anticipate the future of AI and its impact on the world, enhance our AI-related decision making capabilities, and enable quantitative evaluation of ideas about the dynamics governing AI progress.Using your deep and broad knowledge of AI concepts, algorithms, and research trends, your understanding of causality and causal inference, and your strong mathematical, statistical, and computational skills, you’ll work to fortify the team’s outputs with a rigorous quantitative element. You’ll build causal models and simulations to facilitate decision making in crucial areas such as AI alignment strategy, will contribute to a suite of world model components that will be used across multiple AI-relevant analyses, and will build a detailed, interactive, public-facing model estimating many key facets of the trajectory of transformative AI. You’ll also use our unique AI dataset to identify trends, and to evaluate claims about AI progress.A note about locationMetaculus is currently hiring within several "regional hub" zones in order to enable team members to frequently meet and collaborate in person. This role could be based in London or New York City. For exceptional candidates, we are open to discussing alternative solutions. Strong scientific programming skills, ideally in Python or Julia Solid background in mathematics and statistics Good understanding of causality theory, and experience applying causal inference in practice Familiarity with AI concepts and algorithms, and with the latest trends in ML research Practical experience with ML/data science techniques Metaculus’s mission resonates strongly with you Metaculus offers competitive compensation and flexible benefits, including health insurance cost reimbursement. Metaculus is an equal opportunity employer that knows and appreciates the benefits of a diverse workforce.


Data Science Intern Summer

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 700 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 mission is to engage and hire the emerging talent that will shape the future of Dropbox.  Learn about our internships here!
Team Description:
The Data Science team plays a strategic role in unlocking Dropbox’s next stages of growth. We solve key challenges to improve user experience, grow revenue, and launch high impact initiatives. Our team is highly cross-functional, working closely with Product, Marketing, Engineering, and Design teams. We are leaders in experimentation strategy and drive product roadmaps with our insights.
Role Description:
As a Dropbox intern, you are part of a top-notch learning experience with data scientists from all backgrounds. You will become a subject matter expert for a particular business unit (Growth, Core File Sync and Share, Hellosign, etc.) and analyze Dropbox data to deliver highly actionable insights that drive product decisions and revenue wins. You’ll work side-by-side with a dedicated, experienced Dropboxer as your mentor. By the end of the internship, you will walk away with the experience of owning high-impact projects and a great network!
Our goal is to create a robust and impactful learning experience. You can expect to learn how to apply modern data science principles across our revenue, marketing and product teams and receive regular and effective feedback on your work. We’ll also help you connect with fellow interns, establish mentors, and build the foundation of a strong professional network.
We will work with you to accommodate your school end and start dates culminating in a minimum of a 12-week long internship.
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 experimentsIdentify 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 writtenWork with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, and User Research) to rapidly execute and iterate
Requirements:
2024 graduate pursuing degree in Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related fieldAble to work independently and proactively engage with business stakeholders Experience with analyzing unstructured datasets using tools like SQL/Python/ RWorking knowledge of probability and statistics. Applied experience in experimentation design, A/B testing and/or probabilistic modeling a plus.Strong verbal and written communication skills
Total Rewards
For candidates hired in Colorado, the expected salary/On-Target Earnings (OTE) rate for the role is $7,500/mo, subject to change.
Salary/OTE is just one component of Dropbox’s total rewards package. Dropbox is committed to investing in the holistic health and wellbeing of all Dropboxers and their families. Our intern benefits and perks programs for interns include:
Competitive medical, dental and vision coverageFlexible Time Off/Paid Time Off, paid holidays, Company-wide PTO days, Volunteer time offPerks Allowance to be used on what matters most to you, whether that’s productivity, learning & development, wellness, co-working space
Additional benefits details are available upon request.
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).


Research Analyst Ai Forecasting

The speed, sophistication, and impacts of AI technology development together comprise some of the most astonishing and significant events of our lifetimes. Clearly, AI development promises both enormous risks and opportunities for society. To help humankind navigate this crucial period, Metaculus is building a team dedicated to AI forecasting.As a Research Analyst in AI Forecasting, you’ll engage deeply with ideas about the future of AI and its potential impacts, and share insights with the AI research and forecasting communities and with key decision makers. You’ll use crowd forecasting to help generate these insights, writing forecasting questions that are informative and revealing, facilitating forecasting tournaments, and coordinating with Pro Forecasters. You’ll engage in deep qualitative analysis of potential AI trajectories and resulting impacts in key areas, reviewing relevant research literature, speaking with experts, and thinking critically and independently to arrive at your own ideas and perspectives. You’ll liaise with quantitative researchers, and integrate quantitative outputs – including forecasts – with your qualitative research, providing holistic, multifaceted analyses of some of the most important questions facing humanity today.You’ll communicate insights distilled from your own research, outputs from the rest of the AI Forecasting team, and opinions from SME’s and the forecasting community, via written reports. Some of these will be visible to the public, with the aim of generating engagement and excitement from the AI research, forecasting, and policy communities, while others will be confidential, feeding directly into crucial decisions made by influential organizations.A note about locationMetaculus is currently hiring within several "regional hub" zones in order to enable team members to frequently meet and collaborate in person. This role could be based in London or New York City. For exceptional candidates, we are open to discussing alternative solutions. Familiarity with AI concepts and algorithms, and with the latest trends in ML research Excellent written and verbal communication skills Demonstrated ability to understand highly technical content across multiple domains Experience with writing reports on technical subjects for technical and non-technical audiences Metaculus’s mission resonates strongly with you Metaculus offers competitive compensation and flexible benefits, including health insurance cost reimbursement. Metaculus is an equal opportunity employer that knows and appreciates the benefits of a diverse workforce.


Senior Data Scientist

Bungie is looking for an experienced Data Scientist to help shape measurement and optimization of marketing campaigns. As part of the Bungie Analytics & Insights team you will join a diverse team of analysts, data scientists, data engineers, and researchers. You will leverage your expertise in data analysis and machine learning to provide marketers, business leaders, and project leads with actionable insights to make the best marketing campaigns possible. Most importantly, you will work at a fun and energetic company that is devoted to making world-class games.
RESPONSIBILITIES
Develop relationships with members of the publishing and marketing teams to understand their analytics and data science needs
Designing experiments to clearly measure lift with control groups, as well as conducting inferential analysis to estimate uplift (casual analysis) from historical efforts
Perform ad-hoc analyses that inform marketing decisions being made by the team
Transform raw data and build efficient pipelines to create and support customer facing dashboards and reporting resources
Communicate the results of your analyses to technical and non-technical colleagues
Translate hypotheses about marketing campaign behavior into models to improve campaigns
Develop models for predicting and segmenting audience response
Various other data related tasks necessary to support the team
REQUIRED SKILLS
Proven experience as a Data Scientist, Technical Analyst, or similar role
Advanced SQL skills
Intermediate Python or R skills
Experience analyzing large media data sets (e.g. Attribution, Campaign Tests, etc.)
Experience applying ML models and statistical analysis
Foundational knowledge of statistics and test measurement
Understanding of digital media fundamentals
Ability to create clear data visualizations for a variety of stakeholders
Ability to effectively communicate technical insights to a non-technical audience
Understanding of data science use cases and data engineering concepts (e.g., modeling, pipelines, warehousing)
Knowledge of database marketing fundamentals (e.g. segmentation)
NICE-TO-HAVE SKILLS
Experience with Google Cloud Platform (GCP) or Amazon Web Services (AWS)
Experience with Tableau or similar data visualization tool
Experience with Web Analytics tools (e.g. Google Analytics)
Experience with data warehousing and data engineering
Interest in Gaming and foundational knowledge of Games
Most Bungie full-time employees will adopt a digital first approach allowing remote work in Bungie approved locations (outside of positions identified as 100% onsite in Bellevue/Seattle, or individuals preferring a hybrid/flex environment). Prospective full-time employees located outside of CA, CO, DC, FL, GA, IL, MA, MD, MN, NC, NJ, NY, OR, TN, TX, UT, VA, WA, or WI will need to establish residency in one of the states we are compliant in within 45 days of a start date. Contractors will follow a digital first approach adhering to the location guidelines agreed upon by our third-party employer/vendor and Bungie. Bungie’s remote policy is subject to change at the company’s discretion.


Senior Data Scientist Machine Learning

Overview
Bungie is seeking a Senior Data Scientist to join our newly formed Machine Learning team.  Reporting to the Director of Machine Learning, you will scope, prototype, and deploy machine learning models that will support initiatives across our organization.  As an early hire for this group, you will have the ability to influence the future trajectory of the team and projects therein.
As part of the Bungie Analytics & Insights team, you will join a diverse team of analysts, data scientists, data engineers, and researchers.  You will leverage your expertise in data analysis and engineering to build services that feed game personalization, optimize storefront commercialization, and create internal tools that empower Bungie teams to continue doing what they do best. Most importantly, your work will be essential to creating unmatched entertainment experiences designed to inspire friendships and lifelong memories.
RESPONSIBILITIES
Work with partners across the organization, gathering requirements, designing project plans, determining approaches, and defining success criteria for machine learning solutions
Develop and deploy machine learning services end-to-end in a cloud environment
Transform raw data and build efficient pipelines to support modeling and analytical capabilities within our team
Communicate the results of your analyses to both technical and non-technical colleagues
REQUIRED SKILLS
Experience working within cloud-based infrastructure to build, deploy, and manage models at scale in a live service environment
Advanced proficiency in Python and SQL
Advanced knowledge of machine learning frameworks such as scikit-learn
Experience creating and using advanced machine learning algorithms and statistical models: regression, simulation, scenario analysis, clustering, decision trees, neural networks, etc.
Effective at data visualization and storytelling geared towards both technical and non-technical audiences
NICE-TO-HAVE SKILLS
Advanced degree in Computer Science, Statistics, Machine Learning, or a related field
Experience working within a variety of different technical environments
Experience with Tableau or similar data visualization tool
A love of games
Most Bungie full-time employees will adopt a digital first approach allowing remote work in Bungie approved locations (outside of positions identified as 100% onsite in Bellevue/Seattle, or individuals preferring a hybrid/flex environment). Prospective full-time employees located outside of CA, CO, DC, FL, GA, IL, MA, MD, MN, NC, NJ, NY, OR, TN, TX, UT, VA, WA, or WI will need to establish residency in one of the states we are compliant in within 45 days of a start date. Contractors will follow a digital first approach adhering to the location guidelines agreed upon by our third-party employer/vendor and Bungie. Bungie’s remote policy is subject to change at the company’s discretion.


Senior Data Scientist Pricing

Pricing Team
You’d be joining the Pricing Team which sits within the Product organization. We’re responsible for pricing every transaction in the marketplace and for using pricing as a lever to improve customer experience.
Where we are today
We’re a fast paced team that travels the problem identification → experiment proposal → experimentation → system wide deployment loop in a median time of 2 weeks. It’s not uncommon for us to travel across it within a day or two.
Where we are going
Today, most successful experiments are launched systemwide as an additional pricing policy. But we have 600+ active markets, each of which has unique needs. The future we’re building will allow us to tailor policies to each market using an automated infrastructure. If you join, you’ll be embarking on this journey with us.
As a Data Scientist, you will:

Identify opportunities to improve the marketplace experience using pricing by knitting together data and customer conversations
Iterate on experiment proposals that make first-principles arguments to tackle important problems with creative policies
Deploy and monitor experiments using our Python-based experimentation infrastructure and iterate on our infrastructure on a regular basis
Present the results of implemented policies and their impact on the business to a cross-functional group of executives on a weekly basis and launch them systemwide
Coordinate with cross-functional teams to tackle pricing related issues, including customer concerns

You should apply if:

You pride yourself on your writing. You’ll have to write relatively technical experiment proposals that can be read by a broad audience and regular write-ups for weekly rituals. Your writing must be clear and should be able to survive a high level of scrutiny.
You can analyze a dataset forever. We’ll expect you to dive deep into the mechanics of customer behavior and reveal powerful, actionable insights about our marketplace. Folks who excel at this always have 10x more questions to ask. We’ll expect you to learn SQL if you don’t already know it.
You focus on delivering value, fast. You’ll be the CEO of your own work. That means prioritizing ruthlessly to ensure that your work delivers tangible value to customers. A lot of times, this means using answers you already have to deploy customer solutions instead of continuing to analyze.
You know probability theory. You’ll have to think deeply about second order marketplace effects on a regular basis. Thinking about the odds of an event happening and how to change those odds will be a regular exercise. You’ll also have to express those odds logically.
You don’t do incremental work. We have a lot of interesting problems, so it’s easy to find ones that deliver clear, but little value. You’d rather focus on thinking about big problems in entirely new ways than focus on small problems.
You can do the math. We stay away from plug-and-play models if we can’t write the math and explain exactly how they’re working. Our ability to use progressively complex ML models is proportional to our first-principles mathematical understanding of our marketplace.

Qualifications:

B.A., M.A. or PhD in a quantitative discipline, like mathematics, computer science, statistics, or engineering, or equivalent quantitative experience.
Experience programming, ideally with Python. Javascript experience is helpful.
Deep understanding of probability theory.
1+ years of experience in a high-growth environment is preferred but not required. New graduates are welcome.


Actuarial Data Scientist

About the Team:
Data scientists at Ledger are critical to the success of the company. Our team specializes in modeling the behavior of casualty insurance risk portfolios. We analyze and predict the performance of every insurance program that seeks capital through us, and our analyses are critical in determining on what terms, if any, our investors are willing to offer capital for each program. In short, our math forms the ground truth that serves as the basis of negotiations for transactions with tens of millions of dollars at stake.
About the Position:
The questions we focus on have broad overlap with traditional topics within actuarial science: estimating loss development, forecasting portfolio performance, quantifying tail risk, and the like. The statistical models we use to answer these questions (and the philosophy behind them) is not always in the mainstream of actuarial science. In particular, we eschew human-driven decisions and adjustments in the modeling process (i.e., "actuarial judgment") to the greatest extent possible.
At the same time, we recognize the value in more traditional actuarial perspectives, as they are usually borne of decades of practical experience. Team members with actuarial training and experience are able to quickly recognize elements of insurance portfolios that pose particularly thorny modeling challenges, and how they are traditionally addressed. We also still regularly deal with stakeholders who are immersed in a traditional perspective, and actuaries play a vital role in translating to and from the modern Bayesian approaches we use internally.
If these problems sound fun and interesting, we'd love to have you on our team.
About You:
Successful candidates will have all of the following attributes:

Extensive knowledge of statistics, machine learning, and data science; MS or PhD in statistics or a related field preferred.
Professional, hands-on experience in pricing and/or reserving for property and/or casualty insurance lines.
Demonstrated ability to apply new statistical or modeling techniques to actuarial problems (e.g., loss development, rate segmentation, trend estimation, etc).
Some exposure to modern Bayesian modeling techniques.
Extensive experience with R, Python, Julia or other open-source languages with strong numerical computing ecosystems; willingness to learn Python.
Strong attention to detail and ability to reconcile conflicting or ambiguous sources of information.
Ability to work independently and communicate ideas effectively.

The following attributes will help you stand out from the crowd:

A track record of publications and/or presentations on actuarial modeling topics.
An actuarial designation (ie., ACAS or FCAS).
Familiarity with Bayesian modeling using Stan.
Familiarity with version control, especially Git/GitHub.

Benefits:

Generous salary and equity compensation
Work from anywhere (this position is full-time remote, as long as your working hours can overlap with US Eastern time for a couple hours per day)
Unlimited paid vacation time
401k
Medical, dental, and vision insurance
Gym membership
$5,000 paid by Ledger towards your dream desk setup!

Ledger Investing is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. We strictly prohibit and do not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, religion, creed, national origin or ancestry, ethnicity, sex, gender (including gender nonconformity and status as a transgender or transsexual individual), sexual orientation, marital status, age, physical or mental disability, citizenship, past, current or prospective service in the uniformed services, predisposing genetic characteristic, domestic violence victim status, arrest records, or any other characteristic protected under applicable federal, state or local law.


Product Data Scientist Senior And Staff Levels

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

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

Your Professional Profile

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

About Mozilla
Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.
Commitment to diversity, equity, inclusion, and belonging
Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission.  We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities and expressions.
We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccomodation@mozilla.com to request accommodation.
We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws.  Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.
Group: D
#LI-REMOTE
Req ID: R1691


Principal Security Data Scientist

Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The Security Data Analytics team at Adobe is on the mission to design, develop, and deploy AI solutions to help make Adobe products and services secure. Data generated by the SaaS products are rich and diverse and driving insight from them is a very exciting and challenging task. The Data Scientist at Adobe is setting a data science foundation for our fast-growing data team, to enable the company to tackle engineering and security challenges by designing analytics and AI solutions. This opportunity involves defining the path to discover trends, patterns, and hidden cyber-attacks from system and sub-system level communication and protocols.
Role
Work on innovative large-scale data analytics and machine learning projects Drive predictive analytics from billions of log data Help define the analytical direction and influence the direction of the Engineering teams.
Use mathematical techniques to arrive at an answer using data. Translate analysis results into business recommendations. Partner with Cybersecurity teams on projects to identify and articulate opportunities and see beyond the data to identify solutions that will set the standard for decision making. Extract actionable insights from broad, open-ended questions Adapt machine learning and data mining algorithms to solve problems across several security teams Use quantitative analysis and the presentation of data to see beyond the numbers and understand what can improve our processes.
Engage broadly with the organization to identify, prioritize, frame, and structure complex and ambiguous security-related challenges, where advanced analytics projects or tools can have the biggest impact.
Qualifications
Advanced degree in Computer Science, Mechanical engineering, Statistics, or related STEM field. 5+ years of Data or Machine Learning experience working on highly complex problems in a dynamic setting Strong programming skills, especially in Python, Scala, or R with 3+ years of relevant experience in a programming intensive role.
Experience with security information and event management (SIEM) systems and concepts like denial-of-service (DoS) or distributed denial-of-service (DDoS) attacks. Technical expertise and in-depth knowledge in one or more of the following Data Science topics: Anomaly detection and signal processing, time-series data analysis, and modeling, Conventional Machine Learning methods, Deep learning and CNNs, text mining, sentiment analysis, information retrieval, etc. Proficiency with a deep learning framework such as TensorFlow, Keras, Pytorch, Caffe, MXNet, etc. Proven track record of developing and deploying algorithms for production-ready anomaly detection, or prediction systems using languages and big data platforms such as Python, Scala, or Java. Excellent communication and presentation skills.
Nice to Haves
Proven experience in Cybersecurity is a huge plus
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform crucial job functions, and receive other benefits and privileges of employment. Please contact us to request any accommodation.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability, or veteran status.


Financial Data Scientist Systems And Automation

Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The Opportunity
This is an exciting opportunity to join the Digital Media Finance team as we continue to propel the business through data-driven forecasts and provide influential insights. We are looking for a Data Scientist who is passionate about using big data to deliver key insights for critical business decisions, improve forecasting accuracy, automate financial planning and budgeting processes. You will focus on driving data science and analysis across strategic projects to improve customer engagement & retention. The position will report to the Group Manager, Business Intelligence and Visualization and will provide an outstanding opportunity to drive timely insights for growth across Digital Media (DMe) Business at Adobe.
The ideal candidate for this role will have hands-on experience with analytics and data science applied to subscription business, outstanding quantitative analysis and technical skills, superb communication, and experience working across cross-functional teams
What you'll Do
Partner with finance, accounting, BU partners, and leadership to develop and enhance forecasting methodologiesDrive data science modeling initiatives for forecasting and analysisAutomate, enhance, and maintain analytic applications and data structures used for modeling and forecastingPresent findings to leadership and maintain dashboards tracking key indicatorsAccountable for ad-hoc support & participation in critical business analytics and key project support as directed by managementDemonstrate strong intellectual curiosity towards enhancing current methodologies and processesBe a change agent, ensuring users embrace new and innovative technologies
What you need to succeed
BS/BA with preferred focuses in areas of Business, Finance, or Information Systems3+ years of relevant experience in data science and analytics in creating/maintaining financial models for a subscription/SaaS business a plus.Proficient in data querying and coding in SQL, Python, R or similar languagesStrong understanding of predictive analytics and machine learning techniquesProficient in data platforms/systems (such as SQL, Hadoop, Snowflake, Databricks), ETL tools (such as Alteryx, SnapLogic), process automation, and standardizationExperience exploring large amounts of information, extracting insights, and achieving real-world results.Self-starter with high attention to details, excellent interpersonal skills, and ability to take charge, set objectives, and deliver resultsStrong team orientation with great customer focus


Senior Data Scientist

Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

The Adobe 3D & Interactive team is seeking an experienced data science professional to drive our culture of data-driven decision-making. At Adobe 3D&I, we make and market a suite of software products that enable creative professionals to unleash their creativity in 3D and populate the metaverse.
As a Data Scientist, you will work with Product, Marketing and Engineering to build the data ecosystem and discover insights. Adding business context to the data insights will allow you to craft compelling narratives that drive decision making. You will have a direct impact on the 3D&I business and product decisions!
Are you passionate about exploring data and create data driven stories? Are you self-motivated with strong interpersonal, communication and collaboration skills? We invite you to apply today!
What You'll Do:
Work across the 3D&I organization and our partners to uncover insights and guide business decisionsCollaborate with 3D&I leadership to define and implement the right metrics to track our business and product performanceRegularly monitor and contextualize reports to build a consistent narrative and insights
What You'll Need to Succeed:
5+ years of professional experience in data science/analyticsBS or MS degree in an analytical field: statistics, applied mathematics, computer science, engineering, economics, etc.Strong proficiency in querying and manipulating large datasets using SQL-like languages (Hive, Spark, Presto, Databricks)Experience designing and analyzing A/B/n experiments, using appropriate statistical techniques to mitigate bias and interpret statistical significanceFamiliarity with descriptive and inferential statistics (e.g. t-test, chi-square, ANOVA, correlation, regression, etc.) to understand usage behaviors and generate hypothesesExperience creating data visualizations and storytelling to effectively communicate analysis results to both technical and non-technical audiences (preferably Tableau or PowerBI)Experience with data science workflows in Databricks, Jupyter, Python, GitExcellent communication, relationship skills, and a strong standout colleague
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists (http://www.adobe.com/careers/awards.html). You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In (http://www.youtube.com/watch?v=hmL6uQZhYhw&list=UUlDSu3-Y4-BfI08784K-P4g&feature=share&index=1) approach where ongoing feedback flows freely.  If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog (http://blogs.adobe.com/adobelife/) and explore outstanding benefits (http://benefits.adobe.com/) we offer.  Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.


Bioinformatics Scientist

You + Helix
Helix is a place where innovators and doers gather in order to drive significant progress in population genomics. We have come together to work at the intersection of clinical care, research, and genomics.
If you’re excited by the idea of making a meaningful impact and joining a team where we pride ourselves on driving innovation through fostering an environment with an emphasis on empowering one another to grow, Helix might be the place for you!
Helix + The World
Our end-to-end population genomics platform enables health systems, life sciences companies, and payers to advance genomic research and accelerate the integration of genomic data into routine clinical care. We support all aspects of population genomics from recruitment to translational research and help our partners use genomics to improve health outcomes, increase patient engagement, and lower costs.   Leading health systems, including Renown Health, AdventHealth, and Mayo Clinic, use our population genomics platform to power some of the world’s largest and fastest-growing population genomics initiatives.
For the COVID-19 public health crisis, Helix has built one of the nation’s largest COVID diagnostic labs and has been on the leading edge of national viral surveillance efforts tracking B.1.1.7 and other viral strains.
Job SummaryWe are looking for a Bioinformatics Scientist to join our team. You will work cross-functionally to develop new analytical capabilities toward democratizing access to genomic information and creating the next early detection pandemic warning system. The ideal candidate has an insatiable curiosity, entrepreneurial spirit, enjoys teamwork, and is excited about the potential of combining next-generation sequencing (NGS) data with the expertise of all our partners.
As a Bioinformatics Scientist, you will:

Lead analytical investigations for early stage projects to enable rapid development of new laboratory assays
Develop novel tools and methods for increasing our analytical capabilities
Collaborate cross-functionally with experimental biologists, product managers, software engineers, quality engineers

Required:

Ph.D. in a quantitative field (computational biology, mathematics, statistics, computer science, etc), or an MS + 2 years of experience in the industry
Hands on experience with raw sequencing data
Experience analyzing and manipulating large biological datasets in Python, R, or other languages
Strong communication skills, both oral and written
Entrepreneurial spirit; willing to contribute in multiple areas; curious and independently motivated
Problem-focused and able to drive tasks to completion

Pluses:

Experience with human or viral genomics
Trained in graduate-level probability/statistics
Ability to explain complicated topics to lay audience
Experience with GitHub, AWS, etc
Code documentation intended for general audience readability and use

What’s important to us:

Curiosity — we are all passionate about the possibilities enabled by having access to your own genome
Responsibility — we have an obligation to people and our partners to operate with highly credible research guided by well respected advisors, with clear and effective communication about our products
Agility — flexibility and a desire to be nimble, smart, and effective are important to the Helix culture
Follow-through — we’re building a diverse team with amazing track records of achievement in multidisciplinary environments

What Helix can offer you:

Competitive and equitable compensation
401(k) with employer matching
Health insurance, including medical, dental, and vision
12 weeks of Maternity or Paternity leave
4 weeks of paid Pregnancy Disability
On-premise nursing room
Flexible PTO

Helix is proud to be 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.


Senior Marketing Data Scientist Lifecycle

ABOUT THE ROLE
The CRM & Governance team at Peloton is responsible for analytics, segmentation, testing, and predictive modeling to accelerate and optimize Connected Fitness membership growth across all owned marketing channels.
The Senior Data Scientist will partner with our Lifecycle Marketing team to engage our leads and members in impactful and meaningful ways, and play a critical part in advancing our capabilities to personalize lifecycle communication and ultimately drive incremental sales and subscribers across our Connected Fitness portfolio. The ideal candidate combines best-in-class analytical/modeling skills and an outstanding eye for business to own the application of customer models, experimental design, and best-in-class measurement tools across our marketing teams.
YOUR DAILY IMPACT AT PELOTON

Deploy advanced data models that will improve our segmentation, personalization, and targeting capabilities to drive incremental performance in our lifecycle channels
Build up customer segmentation capabilities in CRM channels to personalize customer communication journeys across lifecycle channels
Lead experimental design for A/B and multivariate tests in lifecycle channels to optimize engagement and conversion
Partner with Lifecycle Marketing on measurement of channel reporting and incremental performance to understand and optimize email campaigns
Perform deep-dive analyses and communicate channel findings and useful insights across business partners
Design and maintain CRM data infrastructure with the Analytics Engineering team by translating business requirements from partners to data models that will enable reporting, dashboards, and segmentation through our CDP to appropriate CRM channels

YOU BRING TO PELOTON

5+ years of analytics experience, with a strong grasp of measurement, modeling, and testing techniques. Extensive knowledge in CRM,  Lifecycle marketing functions, e-commerce, and lifecycle channel measurement critical metrics preferred.
Expertise in SQL and working with structured and unstructured data-sets, as well as data visualization technologies such as Looker or Tableau
Working knowledge of a scripting language (e.g. Python, R) and experience operationalizing sophisticated data models (regression, segmentation, clustering, and other predictive or machine learning models) from exploration, modeling, testing to performance evaluation
Experience designing and analyzing A/B testing and lifecycle marketing experiments
Expertise in data transformation, ETL, and data pipelining
Excellent communication skills presenting to and influencing cross-functional leaders, especially through distilling technical matters into clear and concise explanations
Operational experience with CRM tools such as Customer Data Platforms (CDP) and email service providers (ESP) is a plus

#LI-SV2
#LI-Remote


Senior Data Scientist Product Analytics

About the Role
As a Senior Data Scientist on the Product Data team, you will be responsible for working on a wide range of data-related projects, from the infrastructure driving our systems to metric design to analyses that drive business decisions across our company. You will have the opportunity to partner with stakeholders across our Product, Engineering, and Design teams, using data from across the entire Lattice spectrum to produce insights and recommendations on both internal technology choices and crucial business functions like product success metrics and the product roadmap.
Responsibilities

Further implement definitions of what healthy usage of the Lattice products looks like
Partner with the product team to build on their success metrics and inform their roadmapping decisions
Assist in operationalizing up our BI tool, Looker, to make it easily explorable and actionable for internal end users
Model first- and third-party data into analytics-ready tables that can be used across the business
Advise the engineering, product, and design teams on event tracking, ensuring standardization across the Lattice platform and suite of products
Collaborate with stakeholders across the business to create repeatable, standardized analytics that drive strategy and decision making processes
Conduct end-to-end projects to uncover insights and drive product driven engagement at Lattice
Own or collaborate on easily digestible outputs of insights and findings
Research and make recommendations on best practices for our data tech stack

Qualifications

3-5 years of experience working in Data Science or Analytics
Ability to distill ambiguous, open-ended questions into workable problems
A proven track record of collaboration with stakeholders and ability to translate technical output into non-technical recommendations and summaries
Experience developing metrics and productizing those for greater consumption
Deep knowledge of SQL
Knowledge of R or Python
Experience with a BI tool such as Looker
Self-starter who is excited by learning new technologies, getting your hands dirty, and creating scalable solutions

Nice to Haves

Experience working in data at a B2B SaaS company
Knowledge of DBT


Data Scientist Product Analytics

About the Role
As a Data Scientist on the Product Data team, you will be responsible for working on a wide range of data-related projects, from the infrastructure driving our systems to metric design to analyses that drive business decisions across our company. You will have the opportunity to partner with stakeholders across our Product, Engineering, and Design teams, using data from across the entire Lattice spectrum to produce insights and recommendations on both internal technology choices and crucial business functions like product success metrics and the product roadmap.
Responsibilities

Further implement definitions of what healthy usage of the Lattice products looks like
Partner with the product team to build on their success metrics and inform their roadmapping decisions
Assist in operationalizing up our BI tool, Looker, to make it easily explorable and actionable for internal end users
Model first- and third-party data into analytics-ready tables that can be used across the business
Advise the engineering, product, and design teams on event tracking, ensuring standardization across the Lattice platform and suite of products
Collaborate with stakeholders across the business to create repeatable, standardized analytics that drive strategy and decision making processes
Conduct end-to-end projects to uncover insights and drive product driven engagement at Lattice
Own or collaborate on easily digestible outputs of insights and findings
Research and make recommendations on best practices for our data tech stack

Qualifications

2-4 years of experience working in Data Science or Analytics
Ability to distill ambiguous, open-ended questions into workable problems
A proven track record of collaboration with stakeholders and ability to translate technical output into non-technical recommendations and summaries
Experience developing metrics and productizing those for greater consumption
Deep knowledge of SQL
Knowledge of R or Python
Experience with a BI tool such as Looker
Self-starter who is excited by learning new technologies, getting your hands dirty, and creating scalable solutions

Nice to Haves

Experience working in data at a B2B SaaS company
Knowledge of DBT


Real World Data Scientist

Passionate about precision medicine and advancing the healthcare industry?
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
The Real World Data Analytics team at Tempus partners with external Pharma, biotech and academic institutions to provide best in class data, analysis and methodological guidance to Tempus’s real world data offering. We are seeking a highly motivated and capable Real World Data Scientist with extensive experience and interest in design and analysis of pharmacoepidemiological studies to join our team.
Responsibilities:

Participate in clinical projects with external Pharma, academic and other partners
Represent the Real World Data function and collaborate with internal and external stakeholders in the design, analysis, interpretation and publication of clinical real world studies
Contribute to study protocols and statistical analysis plans. The RWD scientist will then perform sample size and power calculations, execute interim and final statistical analyses, communicate the findings to the stakeholders, and prepare written reports
Work on complex problems, exercising judgment in selecting and adapting methods as appropriate
Work in interdisciplinary groups of scientists, engineers, and product developers to translate research into clinically actionable insights for our clients
Stay current with the latest methodological advances in real world studies
Comply with all applicable regulations and Company procedures

Required Experience:

Ph.D. or Masters Degree in Biostatistics, Statistics, or Epidemiology with a minimum of 2+ years (Ph.D.) / 4+ years (MS/MA) relevant experience working with clinical, epidemiologic or genomic studies
Thorough understanding of clinical trial methodology and statistical methods including methods for time to event analysis
Computational skills using Python, R or SAS, especially relevant statistical tools and packages

Ideal candidates will possess:

Extensive experience with time to event analysis and methodology
Experience working in oncology Phase II-IV clinical trials and/or experience with the analysis of RWD studies (e.g. using claims, EHR or registry data sources)
Hands-on experience in helping to prepare regulatory submissions to the FDA
Familiarity with machine learning techniques and the advantages and disadvantages of different approaches, especially with respect to predictive and prognostic algorithms in medical research
Experience in cancer genetics, immunology, or molecular biologySelf-driven and works well in interdisciplinary teams
Collaborative mindset, an eagerness to learn and a high integrity work ethic
Sharp attention to detail and passion for delivering high quality and timely analytics deliverables
Able to effectively present research results to study team and other collaborators, including results interpretation and drawing appropriate inferences based on study design/statistical methods as well as assessment of study limitations

Nice to have:

Experience with version control and software testing
Experience supporting data science teams in model building and validation
Client facing or consulting experience and comfort with presenting results to stakeholders
Proficient in SQL

#LI-Onsite
#LI-Hybrid
#LI-Remote


Staff Data Scientist

About Veho

Veho is a technology-driven shipping company that enables personalized next-day package delivery, extending partner brand value. Veho brand partners have seen a 20% increase in customer repurchase, 40% increase in customer lifetime value, and 8% rise in net promoter score.

Veho gives package recipients greater insight and control, letting them know when they will receive their package, when drivers are en route, and enables real-time rescheduling, address changes, and personal delivery instructions. Veho's technology matches demand for package delivery with a network of qualified crowdsourced driver partners, ensuring every package is delivered on time and correctly.

The concept for Veho started as a school project while co-founder Itamar Zur attended Harvard Business School. Zur constantly experienced issues receiving packages - from getting the dreaded “we missed you” note, to stolen packages. He set out to fix the problem so many customers and brands face.

Today, Veho’s robust technology platform provides customers and e-commerce brands with an unparalleled shipping experience, an industry record 99.9% average on-time performance for next-day delivery and an average 4.9-star customer rating.

Veho is looking for a Data Scientist who will support our product, sales, leadership, and marketing teams with insights gained from analyzing company data. You'll be adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. Having strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms, and creating/running simulations is integral. You'll have a proven ability to drive business results with their data-based insights as well as be comfortable working with a wide range of stakeholders and functional teams.

We are looking for someone with a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes, business decisions, and, ultimately, change the face of an industry!

What You'll Be Doing:

Working with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Mining and analyzing data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies.
Assessing the effectiveness and accuracy of new data sources and data gathering techniques.
Developing custom data models and algorithms to apply to data sets.
Using predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
Developing company A/B testing framework and test model quality.
Coordinating with different functional teams to implement models and monitor outcomes.
Developing processes and tools to monitor and analyze model performance and data accuracy.

Experience and Skills You'll Need to Have

Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.

Why You Want to Work with Us

Competitive compensation packages including a very generous equity program.

Full suite of benefits with partial company subsidization of the premium.

Flexible PTO plan.
You'll be part of an AMAZING team that is using innovative strategies and cutting-edge technologies to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers!

“The starting salary for this role is $176,634. The actual salary is dependent upon many factors, such as: education, experience, and skills. The pay range is subject to the discretion of the Company.”

#LI-Remote

Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission:  to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.  We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people.  We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time.  Applicants must be able to understand and effectively communicate orally and in writing with all parties regarding work matters, which are generally conducted in English.  Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.


Senior Data Scientist

Ginkgo is constructing, editing, and redesigning microorganisms to answer humanity's most pressing challenges in health, energy, food, materials, and more. Our mission is clear--to make biology easier to engineer--and it is the foundation of everything we do at Ginkgo. On the Data Team, our focus is the strategic application of data science and engineering across our business. We tackle diverse problems that span molecular biology, robotic automation, finance & business strategy, and operations, all in service of supporting data-driven decision-making. We do that through a combination of durable software tools, closely embedded analysts, and side-by-side collaboration with data engineering.

As a Senior Data Scientist, you’ll join a distributed, highly collaborative team composed of data engineers, analysts, and data scientists with a wide range of backgrounds and experiences (the majority of the team is currently located in Boston and Seattle). You'll partner closely with scientific collaborators from across Ginkgo to develop analysis plans, deliver durable reports, on-board and train partners, and work with data analysts and engineers to deliver data-driven software tools. The Data Scientist role will be primarily focused on analytical automation and support of our in-house automated foundry for designing and building new organisms, i.e. automated outlier detection, normalization for batch effects, and hit detection, and delivery of results in clean, easy-to-understand outputs. You are a self-starter and a strong technical contributor who can identify opportunities to solve problems with data. You should be curious and eager to learn about both the science and the business, possess analytical skills to uncover rich insights from complex datasets, and excel at communicating your work to audiences with varying degrees of technical expertise.

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

Please note: This is a residence-based (remote) role with a minimum requirement of quarterly travel to our headquarters in Boston, MA. Candidates must be willing to work on a distributed team and adhere to common working hours across time zones, with an expected start time of 10AM ET.

Responsibilities

Consult directly with foundry scientists in order to deliver automated data science and analysis pipelines to better help scale foundry operations
Design, build, and deliver end-to-end data products such as APIs or web front ends to deliver models to internal stakeholders
Present work progress, insights, and recommendations to stakeholders and senior leadership
Eagerness to learn about both the science and the business and identify opportunities to solve problems with data

Minimum Requirements

Track record of delivering end-to-end data science products, i.e. ability to work across the product lifecycle from exploration and discovery, to operationalization and production
Experience analyzing complex data, drawing conclusions, and making actionable recommendations
Track record of storytelling with data, specifically supporting data-driven decisions with compelling visualizations using tools like Tableau, seaborn / Altair, and/or ggplot2 / shiny
Strong project management skills including managing complexity and making informed trade-offs to quickly escape rabbit holes and make on-time deliveries
Fluency and practical experience with statistical methods like exploratory data analysis, hypothesis testing, power analysis, regression, and generalized linear models, as well as familiarity with advanced methods like, time-series and survival analysis
Fluency and practical experience with machine learning concepts and algorithms in supervised and unsupervised learning settings; examples include general machine learning workflow, linear/logistic regression, decision trees, neural networks, clustering, etc
Fluency and practical experience with data visualization techniques and best practices, and deep skill in at least one visualization tool
Software development best practices including story estimation, test-driven development, code review, and version control with git
Extensive experience with SQL required
Excellent written and verbal communication skills
Strong technical writer and documenter
Familiarity with communication strategies and tactics for managing a distributed team

Preferred Capabilities and Experience

Experience working with biological data, specifically in the context of high-throughput screening
Experience with Agile workflow practices and familiarity with Atlassian tools including Jira, and Confluence
Experience with the Amazon Web Services ecosystem
Experience working with NoSQL data environments and tools such as Hadoop, Spark, DynamoDB
Experience writing and maintaining ETL workflows with tools like Airflow or Luigi
Deep Python skills including familiarity with pandas, scikit-learn, and advanced visualization libraries such as Altair, seaborn and matplotlib

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

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

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

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


Sr Battery Data Scientist

Responsibilities

Build machine learning models to provide valuable estimations and predictions to the product and the user. Interface closely with the battery experts (modeling/electrochemical/mechanical/thermal/software) and engineers to define features & metrics from the domain knowledge.

Work with vehicle telemetry data at scale to provide insight on the battery health, performance, and powertrain efficiency of Rivian products
Work with battery scientists to improve state of health estimation for batteries based on field data models.
Develop statistical and machine learning models for predicting and forecasting field failures, cell chemistry variations, battery health degradation and how various driving behaviors affect battery performance for safety and drivability.
Build scalable full stack infrastructure and data pipelines to aggregate telemetry and service data in order to monitor and predict failures in the field.
Research and development of multivariate models for prognostics applications, predictive maintenance, and battery state of health estimation, battery health coaching.
Run cloud-based data models to assist improving battery power and energy estimation based on current, voltage and temperature data points across various drive cycles and geographies.
Work with embedded systems engineers to bring cloud-based data models to run on embedded systems.

Qualifications

Must have 3 or more years of industry experience in a data science or software engineering role or Masters/PhD. Level of role depends on experience and qualifications.
Ideally 3-5 years' experience in battery domain, focusing on hardware and engineering
Minimum:

Experience working with data in Apache Spark, Python and SQL
Strong fundamentals in software engineering with Python
Understanding of statistical and machine learning concepts
Data visualization and communication best practices

Ideal:

Experience with cloud infrastructure such as AWS with Terraform/Docker
Programming in multiple languages, such as Golang/Scala/C/C++
Experience with battery prognostics and health management
Working knowledge of mathematical or advanced machine learning concepts
Experience with reinforcement learning


Head Of Actuarial Analytics

Our mission: to eliminate every barrier to mental health.

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

Today, Spring Health equips over 800 companies, from start-ups to multinational Fortune 500 corporations, as a leading and preferred mental health service. Companies like General Mills, Guardian, Bain, and Instacart use the Spring Health platform to provide mental health services to thousands of their team members globally. We have raised over $300 million from prominent investors including Kinnevik, Tiger Global, Northzone, RRE Ventures, Rethink Impact, Work-Bench, William K Warren Foundation, SemperVirens, Able Partners, True Capital Ventures, and a strategic investor, Guardian Life Insurance. Thanks to their partnership, our current valuation has reached $2 billion.

Ready to do the most impactful work of your life? Learn more about what motivates us and the ways we work to see if this is the right place for you: Our Values

We are looking for a Staff Actuary/Health Economist to join our Data Science team. You will be responsible for technical roadmapping and thought leadership on healthcare economics and return on investment of Spring Health services. You will work in concert with internal and external resources including third party consultants to lead projects estimating the financial value of Spring Health services to our customers, and performing financial forecasting to build pricing models and value proposition assessments. Internally, you will collaborate with a team of data scientists, product managers, psychologists, and psychiatrists. You will use statistics and visualization tools to turn real-world insurance claims and clinical data into actionable insights for Spring, our customers, our members, and their associated health plans.

We are creating the future of mental healthcare: within your first year, you’ll discover something no human ever knew before about mental health.

What you’ll be doing:

 Build upon and expanding existing internal and external ROI analyses to quantify Spring Health’s impact on medical and workplace spend
Identify data-driven product enhancement opportunities from the lens of financial ROI and present recommendation to senior leaders
Lead financial forecasting and scenario modeling to develop new and improved payment models for Spring services
Lead development of prospect financial value proposition assessments
Collaborate with internal and external stakeholders to support ROI, sales,and product initiatives

What we expect from you:

Degree in statistics, health economics, actuarial sciences, or related field
Knowledge of, or experience in, the employer benefits or payor space
ASA to FSA or health economist or applied healthcare statistician with 5-10 years of relevant experience
Experience working with  medical claims data
Track record of interprofessional collaboration and ability to communicate effectively with multiple stakeholders with widely varying levels of technical expertise
Strong presentation skills — fluently tell a compelling clinical or business story with data
Strong written communication skills
Experience leading/mentoring junior data analysts
Experience working cross-functionally
Experience working with external stakeholders (clients, consultants)

What we’d love to see:

Demonstrated passion for, and understanding of, mental illness and broader U.S. healthcare system
Expertise in causal inference or related methods for observational study designs and financial outcomes evaluations
Experience in building forecasting models
Experience with predictive modeling
Fluency in a statistical programming language (R, python, or equivalent)
Experience with Git, SQL, and other data science toolkits
 Experience using data visualization techniques to present key findings

#LI-BW1

Don’t meet every requirement? Studies have shown that women, communities of color and historically underrepresented talent are less likely to apply to jobs unless they meet every single qualification. At Spring Health we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we strongly encourage you to apply. You may be just the right candidate for this or other roles!

Benefits of working at Spring Health:

Focus on total health including:
Generous medical, dental, vision coverage available day 1 + access to One Medical
12 yearly no-cost visits to the Spring Health network of therapists and medication management providers for you and your dependents
Unlimited paid time off in addition to 12 paid holidays throughout the year
4-4.5 months of fully paid parental leave
$500 per year Wellness Reimbursement

Supporting you financially through:
Our People team benchmarks all salaries to ensure all team members are paid competitively. On top of a competitive salary, Spring Health offers stock options that begin vesting one year into your role at the company
Employer sponsored 401(k) match of up to 2% after 90 days of employment

Creating a culture you can thrive in:
Flexible work arrangements: 60% of Spring Health team members work fully remote while 40% work in a hybrid model from our New York City offices
Calm Fridays: no meetings, no distractions, just time for you to get work done.
$200 per year donation matching to support your favorite causes
Our team members have created five employee resource groups thus far and looking to add on more

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

Members Come First We are genuine member advocates.

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

Take Ownership We extend trust and hold ourselves accountable.

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

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

Candor with Care We are open, honest and empathetic.

Ready to do the most impactful work of your life? Learn more about what motivates us and the ways we work to see if this is the right place for you: Our Values

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

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Senior Data Scientist

Why this role
As a tech-enabled disruptor in the vacation rental industry, Evolve is professionalizing the category by leveraging data science to capitalize on opportunities across the vacation rental ecosystem. The projects we work on aim to fundamentally change how guests interact with vacation rentals and how homeowners maximize rental income generation. As a member of the core data science team, you will be responsible for crafting machine learning solutions to the most challenging prediction problems within the vacation rental industry using a combination of modeling, exploratory analysis, and data strategy to transform how a business domain is able to operate.
What you’ll do

Implement algorithmic solutions to prediction problems that exceed existing baselines and provide a meaningful impact for our homeowners and guests
Employ retrospective statistical methods to enhance domain understanding
Partner deeply with cross-functional leaders to gain domain knowledge, challenge existing assumptions, and develop data product roadmaps
Effectively communicate complex and ambiguous information to technical and non-technical stakeholders
Leverage internal and 3rd party experimentation capabilities to measure the impact of new solutions
Consider model explainability as a key factor in maintaining trust and understanding across stakeholders and provide meaningful insights where possible
Accelerate continual improvement on the data science team by sharing learnings and providing feedback on other challenging projects around the company
Innovate on existing strategies by researching and applying techniques from other leading data science teams outside of Evolve

What makes you a great fit

5+ years of data science related work
Strong programming experience with Python and SQL, ideally in a full-stack machine learning setting
Software development understanding to be able to create high-quality, reproducible code
Proven track record of business impact from models you took from prototype to production
Experience working in a collaborative environment and communicating effectively with a variety of stakeholders
Bachelor’s degree in Computer Science, Statistics, or related quantitative field, Masters or PhD preferred

Location

Evolve has a flexible working environment so teammates can work remotely anywhere in the state of Colorado, in our beautiful downtown Denver office, remotely or a hybrid of both! As we grow, we are working towards opening remote opportunities across the entire U.S. We currently are able to hire across the U.S except in the following locations: California, District of Columbia, Hawaii, New Jersey, New Mexico, and Pennsylvania.

Compensation
For this role our salary range is $136,000 to $156,000 depending on relevant experience.  This role will also be eligible to receive a variable annual bonus based on both company and individual performance.
In addition to the base salary you will also receive:
Equity: 50% of salary equivalent RSUsVariable comp: 10% of salary target
#LI-MS1


Data Scientist

Why this role
As a tech-enabled disruptor in the vacation rental industry, Evolve is professionalizing the category by leveraging data science to capitalize on opportunities across the vacation rental ecosystem. The projects we work on aim to fundamentally change how guests interact with vacation rentals and how homeowners maximize rental income generation. As a member of the core data science team, you will be responsible for crafting machine learning solutions using a combination of modeling, exploratory analysis, and data strategy to transform how a business domain is able to operate.
What you’ll do

Build, deploy and monitor machine learning models and algorithms that have a sustained business impact
Maintain model explainability and present new models in a way that builds trust and understanding across stakeholders
Monitor model performance and identify opportunities for iterative improvement
Build predictive datasets using data cleaning and feature engineering techniques
Continue to learn new data science techniques, tooling, and coding best practices
Research new methodologies, concepts and industry trends to guide the creation and adoption of new analytical approaches and technologies
Communicate complex, technical information to non-technical audiences

What makes you a great fit

5+ years of experience in data analytics and 2+ years of data science work
Related technical bachelors, masters, or doctoral degree preferred
Programming experience with Python and SQL, ideally in a full-stack machine learning setting
Software development understanding to be able to create high-quality, reproducible code
Clear recognition of how and when to iterate on deployed models
Track record of consistently identifying and prioritizing high value opportunities
Experience working in a collaborative environment and communicating effectively with a variety of stakeholders

Location
Evolve has a flexible working environment so teammates can work remotely anywhere in the state of Colorado, in our beautiful downtown Denver office, remotely or a hybrid of both! As we grow, we are working towards opening remote opportunities across the entire U.S. We currently are able to hire across the U.S except in the following locations: California, District of Columbia, Hawaii, New Jersey, New Mexico, and Pennsylvania.
Compensation
For this role our salary range is $105,000 to $120,000 depending on relevant experience.  This role will also be eligible to receive a variable annual bonus based on both company and individual performance.
In addition to the base salary you will also receive:
Equity: 50% of salary equivalent RSUsVariable comp: 10% of salary target
#LI-MS1


Data Scientist

COMPANY  At 0x Labs, our mission is to create a tokenized world where all value can flow freely. 0x Labs is the parent company of several cutting-edge technologies and initiatives within the crypto space, representing a tight-knit group of teams that work together toward actualizing that mission. The 0x core team builds across the entire 0x stack — from protocol-level development through end-user products. In joining us, you'll take part in transforming the way that value is exchanged on a global scale. We're passionate about open-source software and decentralized technology's potential to act as an equalizing force in the world, and our technology is deployed by a wide array of projects at the forefront of internet and economic advancement.   WHO YOU ARE You're excited about the opportunity to shape 0x's culture and practices. You thrive in ambiguity, and you're excited about converging on salient ideas and solutions. You're highly motivated to advance not only 0x through data, but to do the same for our growing ecosystem and the broader Ethereum community.  You're experienced in forming and testing theses against large data sets to help drive product decisions and company strategy. You enjoy sharing your findings and presenting them both internally and externally, tailoring your language and visualizations to the audience. Working with experimental and cutting-edge technology inspires you, and you find the process of solving problems without a known best practice motivating.  RESPONSIBILITIES

Work with 0x Labs leadership to help us answer questions about problems we're facing, and develop reports for both the 0x core team and broader 0x ecosystem
Curate and refine appropriate data sources to power our analyses
Canonicalize metrics and construct dashboards to help teams mark progress and measure success.
Develop models to forecast key metrics in order to identify opportunities and problem areas.
Help 0x ecosystem and broader Ethereum ecosystem by contributing to open source, publishing data sets and analyses, and establishing best practices for working with blockchain data

REQUIREMENTS

2+ years experience as a Data Scientist or Analyst
Basic familiarity with programming (ideally in Python and/or TypeScript/Node, but we’re flexible)
Experience analyzing, cleaning, and preparing reports on large, diverse data sets
Passion for the benefits of decentralization and the 0x mission
Exhibit our core values: do the right thing, consistently ship, and focus on long-term impact

PREFERRED

Experience interacting with Ethereum nodes / web3
Experience building ETL pipelines

BENEFITS

Additional cryptocurrency-based compensation
Comprehensive insurance (medical/dental/vision/disability/pet)
401k, HSA, and FSA
Monthly mobile phone bill, wellness, and pre-tax transportation expense
Flexible hours, liberal work-from-home policy, and a supportive remote environment
Meals and snacks provided in office daily
Laptop, headphones, and any other work gear you may need
12-week paid parental leave
Great office conveniently located in Soma/East Cut, SF
Unlimited vacation: Take time when you need it (and we really mean it)

0x Labs and its associated entities (0x) are dedicated to fostering diversity, inclusion, and belonging in its teams and workforce, and are proud to be equal opportunity employers. 0x does not make employment or hiring decisions on the basis of race, color, creed, religion, sex, sexual orientation, gender, gender expression or identity, age, disability, veteran status, marital status, pregnancy, citizenship, national origin, or any other basis that is protected by applicable local, state, or federal laws. 0x will also consider qualified applicants with arrest and conviction records in a way that is consistent with San Francisco’s Fair Chance Ordinance and similar local laws.


Data Scientist

What you'll do

Partner and align with business leaders, stakeholders, product managers and internal teams to understand the business and product challenges and goals and address them using predictive analytics in a globally distributed environment.
Understand data landscape i.e tooling, tech stack, source systems etc. and work closely with the data engineering team to improve the data collection and quality.
Understand business/product strategy and high-level roadmap and align analysis efforts to enable them with data insights and help achieve their strategic goals.
Strong audience focused presentation and storytelling skills focused on key takeaways in a crisp and concise manner.
Define, implement, and train statistical, machine learning, and deep learning models.
Use software engineering best practices to publish model scores/insights/learnings at scale within the company.
Ability to define and spot macro and micro levels trends with statistical significance on a regular basis and understand key drivers driving those trends.
Active role in hiring, growing, and mentoring the data scientist team in Austin.

Examples of desirable skills, knowledge and experience

M.S or Ph.D in Computer Science, Statistics, Mathematics, or other quantitative fields.
3+ years of data scientist experience with proven industry experience in a large scale environment (PBs scale & globally distributed teams)
Strong experience working with business functions such as Finance, Sales, and Marketing to build models and drive impactful business outcomes (eg: customer and revenue growth)
2+ years experience with a fast-growing SaaS business based company is preferred.
Strong experience in scientific computing using Python, R, or Scala.
Experience with Spark, SQL, Tableau, Google Analytics, Hive and BigQuery (or any other Big data/Cloud equivalent) etc.
Experience working with and processing structured, unstructured, and semi-structured data.
Strong cross-functional collaboration experience with data engineering and data analysts teams within the function.
Proven track record of applying data insights and machine learning in order to address business needs and drive revenue.
Strong communication and presentation skills catered to different audiences within the company.
Capable of working closely with business, engineering, and product teams to ensure data initiatives are aligned with business needs.
Experience in hiring data scientists and establishing team best practices is preferred.

Compensation
Compensation may be adjusted depending on work location. For Colorado-based hires: Estimated annual salary of $140,000 - $172,000.
[Commissions: If applicable include this line:] This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range in Colorado includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan.
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits

Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance

Financial Benefits

Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan

Time Off

Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave