nathansutton/data-science-job-descriptions huggingface dataset:
Senior Data Scientist at Sofi

Social Finance Inc. seeks Senior Data Scientist in San Francisco, CA:
Job Duties: Work with business unit leaders and product teams to identify businessopportunities, measure KPIs to craft compelling stories, make data-driven recommendations,and drive informed action. Own end-to-end product analytics workflow including formulatingsuccess metrics, socializing them across the organization, and creating dashboards/reports.Design, analyze, and interpret the results of experiments that could optimize productperformance. Work cross functional with engineering, product teams, and data architects toensure data is being captured and reports are accurate. Act as a curator of data by defining,instrumenting, and tracking necessary analytics of our product. Build self-service systems toenable others in the organization to leverage your work. Leverage in-house, external and otheropen-source machine learning software/algorithms. Research and apply superior data andmethodology for the models. Perform ongoing monitoring of the models through constructionof dashboards and KPI tracking. Telecommuting Permitted.
Minimum Requirements: Bachelor's degree in Computer Science, Mathematics, Statistics,Physics, Engineering, or related quantitative field plus two (2) years of experience in relatedoccupations.
Special Skill Requirements: Requires 2 years of experience with: Business analytics, KPIdashboard development, business performance analysis; Designing and building predictivemodels using statistical and machine learning techniques (e.g. logistic regression, linearregression, random forest, neural networks, gradient boosting); Proficiency with SQL, R, Python,Tableau; Strong stakeholder management skill. Telecommuting Permitted.
Submit resume with references to: Req.# 21-12153(CP) at: ATTN: Rae Myles, rmyles@sofi.org.
Data Scientist Consumer Marketing Analytics at Reddit

Reddit is looking for an enthusiastic and motivated individual to help us understand the value of our paid marketing efforts around the world. While Reddit has experienced very strong organic growth throughout its history, as we expand into new markets, marketing is a key growth lever. This role will work with Reddit’s consumer marketing team to analyze the effectiveness of marketing programs and user behavior that will improve marketing decision making. This role is responsible for making sure marketing spend data is accessible and accurate for data analysis, analyzing the value of customers acquired through marketing channels, and influencing marketing decisions through scenario development and modeling. This role will play a pivotal role in helping execute our global growth strategy leveraging paid media channels. 
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Responsibilities

Improve and maintain marketing data accessibility
Develop dashboards to analyze marketing spend performance
Analyze the behavior of customers acquired through paid marketing channels 
Develop lifetime value models to estimate the value of users acquired through paid marketing 
Conduct in-depth post-campaign analysis to help the team understand performance and opportunities for improvement
Work closely with cross-functional teams such as product and finance to model, analyze and influence the impact of multiple scenarios

Requirements 

2+ years of experience in data analysis and reporting focused on consumer product usage patterns
Understanding of the core Reddit experience and passion for Reddit
Strong analytical skills, comfortable with data analysis and statistics
Ability to work with cross-functional teams and partners to 
High attention to detail with ability to manage multiple projects simultaneously
Intellectually curious with demonstrated ability of performing thorough data analysis
Proficient using SQL & Python
Knowledge of visualization tools such as Tableau/Looker/Mode a plus
Senior Data Scientist Frontend Platform Analytics at Reddit

The Clients Platform organization at Reddit is focused on bringing a modern, performant, high quality and cohesive experience to Reddit’s iOS, Android and web frontend platforms.  
As a Data Scientist in the Clients Platform org, you will partner with cross functional teams to ensure data is a key part of our decision making process and power the stories we share org-wide about our user’s attributes and actions, including where you’ve discovered interesting opportunities. Ultimately, your work analyzing user trends, identifying behavioral insights, and showcasing the results to directly impact the product roadmap will help to shape the future of Reddit’s front end platforms. 
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Responsibilities:

Partner with senior leaders in Product to define the right vision for how Reddit should be thinking and talking about the core user experience based on how users actually interact with the site
Leverage analytics to understand key user journeys to inform decisions about the future of the product
Develop and maintain KPIs related to the user experience, performance, and quality, and monitor how they change with updates/new releases by creating custom automated reporting (e.g. dashboards)
Analyze and interpret metrics resulting from A/B tests, and contextualize the results for cross-functional stakeholders across Product, Design, Research, and Leadership teams
Build and own data analysis products and analytical processes (ETLs, data collection and aggregation, experiment measurement) to support with the activities described above
Lead and/or partner with other PMs and DS on time-sensitive investigation into metrics variation for platforms within the Clients Platform ownership 

What We Can Expect From You:

2+ years of experience in analytics roles, including communicating insights to stakeholders
Bachelor’s degree or above in a STEM major 
Proficiency in SQL required, additional experience with python or R preferred 
Experience with dashboarding tools and data visualization (e.g. Tableau, Mode, PowerBI, Looker, etc)
Familiarity with experimentation and causal inference analyses
Consumer product, consumer goods, or e-commerce experience preferred but not required
Sr Machine Learning Scientist at Overjet

Overjet is on a mission to improve oral healthcare for all. 
Our cutting-edge artificial intelligence technology encodes dentist-level training and analysis into scalable software tools. Today, our flagship products are used by some of the country’s largest insurance companies, dental support organizations, and dental practices to enable the best patient care. 

All of this is made possible by the industry leading AI technology built by our Machine Learning (ML) team. We’re looking for a Sr Machine Learning Scientist to join us in our journey to build impactful and bleeding edge Dental AI and research. The ideal team member has a winning mix of creative energy, scientific innovation, and a practical mindset that is focused on building technology that is valuable to Overjet customers.  
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You will



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

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

Focus on scalability and productionalization of the models 

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

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






 
You are



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

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

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

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





 
You have experience in



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

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

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

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. 
With a sufficient timezone overlap with the team, we’re able to hire eligible candidates for this role from any location in Australia and/or New Zealand. If this sparks your interest, apply today and chat with our friendly Recruitment team further.
In this role, you'll get to:
Develop machine learning algorithms to predict customer lifetime value and drive business applications using these predictionsConstruct and refine AI algorithms to optimise our marketing and onboarding funnelsEmploy behavioural data and insights to intelligently customize the user journey, boost engagement and purchase rates and increase our number of active usersWork with our seriously large volume of analytics data to understand insightful trends and behavioursCraft machine learning and predictive models to drive intelligent product features
On your first day, we'll expect you to have:
 Bachelor or higher degree (or equivalent) in a quantitative subject (statistics, mathematics, computer science, engineering or physics)Industry experience in the data science or machine learning domainDevelopment experience in a programming language, Python is strongly preferredExpertise in SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)Experience developing, building and scaling machine learning models in business applications using large amounts of data. Previous experience in customer lifetime value, churn and propensity modelling is highly regardedAbility to communicate and explain data science and machine learning concepts to diverse audiences and craft a compelling storyFocus on business practicality and the 80/20 rule; very high bar for output quality but recognise the business benefit of “having something now” vs “perfection sometime in the future”Agile development approach, appreciating the benefit of review, constant iteration and improvement within a collaborative team environment
It's great, but not required, if you have:
Experience working in an enterprise or B2B space for a SaaS product provider, as well as the consumer or B2C spaceFamiliarity working with go-to-market (GTM), Strategy, Product and Growth teamsKnowledge of advanced machine learning and deep learning methods applied to digital user behavioursKnowledge of A/B experimentation
Senior Data Scientist Customer Analytics at Atlassian

Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. 
With a sufficient timezone overlap with the team, we’re able to hire eligible candidates for this role from any location in Australia and New Zealand. If this sparks your interest, apply today and chat with our friendly Recruitment team further.
Does the challenge of scaling a fast-growing company by empowering it with data and analytical insight excite you? Using your business instincts, analytics mastery and creativity, you will support a market-leading product, from analysis through to action. If you love finding patterns amidst chaos, making quick decisions, and aren’t afraid of being wrong, this could be a great fit!
You have a proven track record of delivering analyses leading to product or business strategy insights. You develop strong and trusted relationships with product executives and use your communication skills to change the way your partners approach problems, and influence product roadmaps. You are passionate driving your learning and growth in a dynamic, fast-paced environment.
In this role, you will have a business critical mission that will impact every aspect of our organisation. You will often use imperfect data to influence strategic company decisions under tight timelines. This is a role that will stretch you, accelerate your learning curve and give you the chance to really leave your mark in the history of Atlassian.
On your first day, we'd expect you to have:
Strong sense of accountability, self-drive, and the ability to function independentlyExtensive experience in analytics, statistics or closely related fieldsProficiency in SQL and expertise in Python / R strong intuition for crafting raw data and analysis into well-written and persuasive contentThe ability to prioritise your time wisely against multiple competing projects and requestsExperience translating insights into decisions and actions that have a direct business impact
It's great, but not required, if you have:
Experience in both enterprise (or B2B) as well as consumer (or B2C) environmentsTrack record of presenting at meet-ups and conferencesMS, MBA or PhD degree in a relevant topic
Data Science Co Op July December at Liberty Mutual

Help shape the future of Data Science across Liberty!
As a coop in Liberty Mutual’s Office of Data Science (ODS), Enablement & Collaboration unit, you will work with a team of data science (DS) and machine learning (ML) experts to solve some of Liberty’s most challenging problems.
The ODS was created to provide additional centralized support and expertise to DS teams across the global organization. Our projects focus on key areas of interest to multiple teams, bleeding edge research and experimentation, common tool development, and establishing best practices to ensure the scientific community at Liberty is well-positioned to rapidly meet the challenges of modern industry.
If you are interested in making an impact on an entire culture at a Fortune 100 company, the ODS is the place for you!
Why you may enjoy working in the Office of Data Science:
As a centralized group, our project scope is vast.  Possibilities include:
Design new language models (NLP/NLU) to understand and build predictions or summaries from customer calls, claim notes, web chats, medical records, and beyond.
Detect property hazards from aerial imagery, customer photos, geospatial data, etc. using computer vision (CV).
Explore the advantages and limitations of privacy-preserving ML, to accelerate experimentation and better protect our customers’ data.
Push the boundaries in fundamental experimentation to boost and augment small-sample or rare-event data, transfer learning, and similar techniques.
Engage in theoretical research in collaboration with a top-tier academic institution (link) to shape the future of AI 
You’re good at and offer:
Working knowledge of data science and machine learning techniques
Ability to exchange ideas and convey complex information clearly and concisely
Fluent in Python and other relevant programming languages
Job Specifications:
Reference:  2022-45026
Category: Data Science
Primary Location: Boston, MA
Additional Locations: Remote
Schedule: Intern/Coop
Salary: USD-$26.00-–-$32.00-/-Hour
Education Level: Bachelor’s Degree
 Travel: As Needed
Data Science Contractor at Rhythm Energy

About Rhythm:
Rhythm is a renewable energy and technology company empowering you to take control of your budget and your carbon footprint.  We combine energy market expertise with technology, design, and data science to create best-in-class products and services that are simple, delightful, and seamlessly integrated within the rhythm of your life. Our mission is to upend the energy status quo by setting a new standard of service excellence and customer partnership. We are a mission-driven, results-oriented group of engineers, businesspeople, designers, and artists who love solving tough problems, all while making a positive impact on our communities.
Our team has a variety of Data Science project opportunities for independent contractors.  Depending on your skills and experience, we need help with projects such as:

Building models to understand how energy is generated and consumed in a rapidly changing world of renewables
Building models to understand our customers and their energy behaviors
Integration of different models, ensuring insights can be delivered repeatably and reliably to make business decision

Relevant Qualifications and Experiences:

Strong working knowledge of Python, including relevant data science tools such as pandas, numpy, sklearn, tensorflow, etc.
Familiarity with pyspark, Databricks, or other mechanisms for big data manipulation and model training are a big plus
Strong analytical skills and ability to translate a business problem into a conceptual model and a resulting Python implementation
Familiarity with a modern cloud-based ecosystem as used to manage data, train and deploy machine learning models (e.g. AWS, Snowflake, Redshift, Databricks, MLflow, etc.)
Experience working on energy, finance, or e-commerce problems is an advantage

We are a remote-enabled company that utilizes a cloud-only tech stack, making it easy for you to contribute from anywhere.  We will consider qualified remote candidates willing to work aligned to our time-zone (central US) and are proficient in technical communication in English.
Ml Research Education Intern at Truera

TruEra, Inc. is an early stage startup commercializing research in explainable machine learning. We are working to help humans understand ‘why’ machine learning models behave the way they do in order to address algorithmic bias and discrimination and to help people make better decisions with AI. Our team has a strong research DNA with ties to CMU and Stanford, and engineering DNA with infrastructure and machine learning engineers from Google, Microsoft, and enterprise startups.  

We’re looking for a Machine Learning intern for the Summer of 2022 to join our engineering and research team. Part of the excitement around trustworthy AI is that it is a nascent field – so the creation and education of best practices is critical. The ML Research & Education intern would help us pioneer and scale our education efforts. Given interest, there is opportunity to work alongside the team on new directions around trustworthy AI including but not limited to performance debugging, fairness, explanations, and stability.


What to expect:

Learn about the rapidly evolving field of explainability (XAI) and how AI is applied in industry settings. 
Solve exciting and challenging technical problems related to explainability and trust.
Create and share best practices and guidance on ensuring the trustworthiness and quality of ML models. 
Experience what it is like to be a part of a fast-growing, early startup.



Welcomed Qualifications:

Past internship/work experience with machine learning frameworks (scikit-learn, Tensorflow/PyTorch/Keras etc.) and other data science tools.
Research experience in machine learning or related field.
Excellent quantitative, analytical and communication skills.


** We have listed some responsibilities and experience guidelines below, but do not consider these as set in stone—talent and passion for what we’re working on are the most important.
Data Scientist Growth at Axiom Zen

NBA Top Shot caught lightning in a bottle, bringing in over one million users to the blockchain in a matter of months. We’re looking for a Data Scientist to take our growth trajectory to the next level.

We're looking for an experienced data leader who can bring a data-driven culture and expertise to Dapper Sports. The ideal candidate has worked in gaming, e-commerce, marketplaces, and other companies working with large sets of data and inputs.

Location: Remote OK, working on Pacific Time and traveling to Vancouver when needed


Jobs to be done:

Build mathematical models and automated machine learning tools to analyze and optimize all aspects of Dapper Sports products, providing actionable insights in real-time
Understand the competitive marketplace, business issues, and data challenges to deliver actionable insights, recommendations, and business processes
Design and implement experiments to test various hypotheses
Influence development teams to implement tools, features, and designs - success is measured in new users, retention, marketplace activity, drops, and lifetime value
Research new modeling algorithms, languages, packages, and statistical tools to enhance the overall productivity of the team
Work with members of the Data Science team to deliver high-impact AI/ML products.





More about Dapper Labs:

Dapper Labs, the company behind CryptoKitties, NBA Top Shot, NFL ALL DAY, UFC Strike and the Flow blockchain, uses blockchain technology to bring NFTs and new forms of digital engagement to fans around the world paving the way to a more open and inclusive digital world starting with games and entertainment.

Since it was founded in 2018, Dapper Labs has given consumer enthusiasts a real stake in the game by bringing them closer to the brands they love, building engaged and exciting communities for them to contribute to, and producing new pathways for them to become creators themselves. Dapper Labs' current studio partners include the NBA, NBPA, WNBA, WNBPA, LaLiga, NFL, NFLPA, Warner Music Group, Ubisoft, Genies, and UFC. We have raised over $600M from leading and notable investors including Andreessen Horowitz, Coatue, Union Square Ventures, Venrock, Google Ventures (GV), Samsung, and the founders of Dreamworks, Reddit, Coinbase, Zynga, and AngelList, among others.

Dapper Labs is accelerating the move to Web3 by building new apps and platforms that enable great user experiences while being accessible to hundreds of millions of fans of organizations like the NBA and NFL, for example. We’re ready to empower even more to bring mainstream-ready user experiences and scale to web3 applications.

Visit our website to learn even more about Dapper Labs, including information about benefits and perks.

#LIremote
Data Science Manager Engagement at Calm

Data Scientist Manager, Engagement at Calm

Remote
Who We Are: 
At Calm, we have a simple, albeit BIG mission: to make the world a happier and healthier place. Through our website, blog, and app—filled with meditations, sleep stories, music, movement, and more—we’re redefining what mental care looks like in 2021 and beyond. With over 100 million users worldwide, 100,000 new users daily, and our growing partnerships with major companies, we’re having a positive effect on more and more people each and every day. And while the heart of Calm is digital, we are growing and expanding offline with a variety of products and services to help deliver on our mission of health and happiness, the world over. 
What We Do:
We are a team of insights specialists that focus on finding insights relevant to driving business outcomes across the Calm organization. For us, the business problem comes first (what are we trying to solve?) and the analysis follows (how do we best solve this problem?). Sometimes the solution is straightforward and sometimes it is highly complex. 
What You’ll Do:
As the Data Science Manager of the Engagement team you will lead a team of data scientists who are working to increase user engagement. You will do this by providing insights and analysis related to how our members interact with Calm and make their content choices. The output of our work most directly impacts the product and content organizations. This role also has significant executive exposure.

Manage, develop, and motivate a group of data scientists
Be a thought leader and go-to expert for how users engage and retain
Lead and conduct deep-dive analyses to identify needs and priorities of the business
Facilitate data-driven and informed decision making and prioritization
Develop strong cross-functional partnerships across Calm to drive our team's success
Drive outstanding performance both for this team and the broader product org

Who You Are: 

5+ years of analytics experience, ideally with digital consumer products 
Experience managing data scientists or analysts
BA/BS in quantitative field
Expert-level skills in SQL, R/Python, and statistical methods 
Strong relationship management and executive presentation skills
Data Scientist at Hazy

Hazy offers an extraordinary opportunity to the right person to make a real contribution as a Data Scientist to a company that is scaling up and working with clients from multiple sectors to offer transformational synthetic data solutions.Your responsibilities will include: Develop product features such as new generative models, new metrics or support for a data type; Collaborate with the engineering team to bring and integrate relevant work into the product; Document and test implemented machine learning models clearly and thoroughly; Implement and reproduce results found in relevant literature in a production environment; and Contribute to the scientific body of literature as part of the Hazy team. The value you will bring to the Hazy team will include: Experience implementing and deploying generative models in production; Deep understanding of Machine Learning concepts;  Advanced Python; Extensive knowledge of the following packages : Numpy, pandas, scikit-learn, scipy, tensorflow, pytorch; and The ability to design visuals to showcase metrics and results. Knowledge of Julia and experience experimenting with privacy concepts such as Differential Privacy would also be welcome.  We are proud to offer a range of benefits that will become even broader after we close our funding round in Q1.  For now, we provide: Competitive salary + equity options Generous holiday allowance Cycle to work scheme Day off on your birthday High-end laptop Remote working policy Social activities - book club, mindfulness and many more! We also offer our investment in you.  This includes a comprehensive onboarding process to get you up to speed as soon as possible, ongoing pastoral care and development of your personal and professional career.  We’ll work closely with you to scope out clear objectives and goals that make sure you hit your marks and keep developing. // Inclusion & DiversityHazy is committed to creating and sustaining an inclusive and diverse working environment in which everyone has an equal opportunity to fulfil their potential. We welcome applications from suitably qualified people from all sections of the community, regardless of their race, sex, gender, disability, religion or belief, sexual orientation or age.
Senior Data Scientist at Signifyd

Data Science at Signifyd
The Data Science team builds production machine learning models that are the core of Signifyd’s product.  
We help businesses of all sizes minimize their fraud exposure and grow their sales.  We also improve the e-commerce shopping experience for individuals by reducing the number of folks’ orders that are incorrectly declined and by making account hijacking less profitable for criminals. 
The team has end-to-end ownership of our decisioning engine, from research and development to online performance and risk management.  
We value collaboration and team ownership -- no one should feel they’re solving a hard problem alone.  
Together we help each other develop our skill sets through peer review of experiments and code, group paper study to deepen our ML and stats understanding, and frequent knowledge-sharing via live demos, write-ups, and special cross-team projects.
The Data Science and Engineering teams at Signifyd have always had a strong contingent of remote folks, individual contributors as well as team leads.  The challenges of working remotely aren’t new to us and we have a track record of iterative improvements to our remote culture.
 
Here you’ll have the opportunity to:

Build production machine learning models that stop fraud rings
Think creatively to engineer new features that identify fraudulent behavior
Devise algorithmic approaches to payments risk management that evolve the process from one that’s human-driven and heavy on gut feel to one that is quantitatively-rigorous and leverages an ecosystem of in-house tools
Work collaboratively with other teams across the company on strategies to tackle entirely new e-commerce verticals, geographical regions, and product offerings

Mentor other team members and help to foster a psychologically-safe environment that allows everyone on the team to leverage their full creativity and grow professionally


Past experience you’ll need:

A degree in computer science or a comparable quantitative field
At least 5 years of post-undergrad work experience
Building production machine learning models (they don’t need to have been related to fraud)
Hands-on statistical analysis with a solid fundamental understanding
Writing code and reviewing others’ in a shared codebase, preferably in Python
Practical SQL knowledge
Familiarity with the Linux command line

Bonus points if you have:

Previous work in fraud, payments, or e-commerce
A Master's Degree or PhD

Benefits in the USA:

4-day workweek
Discretionary Time Off Policy (Unlimited!)
Talkspace Online Therapy Membership
Dedicated learning budget through Learnerbly
401K Match
Stock Options
Annual Performance Bonus or Commissions
Paid Parental Leave (12 weeks)
Health Insurance
Dental Insurance
Vision Insurance
Flexible Spending Account (FSA)
Short Term and Long Term Disability Insurance
Life Insurance
Company Social Events
Signifyd Swag

#LI-Remote
Senior Data Science Manager at Signifyd

How you’ll have an impact:

Leading a team of Data Scientists and helping them set goals, collaborate, and scale
Providing mentorship to team members through feedback, coaching, and hands-on technical guidance, focusing on their long-term growth
Partnering with senior leaders including Product & Engineering to ensure data-driven decisions across the organization by applying the appropriate data science & analytics approaches where they will have a material impact
Thinking strategically to optimize the key components of the Signifyd Commerce Protection Platform
Collaborating with engineering teams to continuously strengthen our machine learning pipeline
Researching real-time emerging fraud patterns with our Risk Intelligence team
Building production machine learning models that identify fraud
Writing production and offline analytical code in Python 
Working with distributed data pipelines

Past experience you’ll need:

A degree in computer science or a comparable analytical field
2+ years of experience in people management with experience building teams and growing talent
At least 4 years of post-undergrad work experience required
Experience leading projects that depend on the contributions of others in multiple teams
Using visualizations to communicate analytical results to stakeholders outside your team
Hands-on statistical analysis with a solid fundamental understanding
Writing code and reviewing others’ in a shared codebase, preferably in Python
Practical SQL knowledge
Designing experiments and collecting data
Familiarity with the Linux command line

Experience we love to see:

Experience managing remote teams
Previous work in fraud, payments, or e-commerce
Data analysis in a distributed environment
Passion for writing well-tested production-grade code

#LI-Remote
Benefits in our US offices:

4-day workweek
Discretionary Time Off Policy (Unlimited!)
Talkspace Online Therapy Membership
Dedicated learning budget through Learnerbly
401K Match
Stock Options
Annual Performance Bonus or Commissions
Paid Parental Leave (12 weeks)
Health Insurance
Dental Insurance
Vision Insurance
Flexible Spending Account (FSA)
Short Term and Long Term Disability Insurance
Life Insurance
Company Social Events
Signifyd Swag
Data Scientist at Signifyd F7E134Af 5A3B 40F1 8D0C Af0Af035B24F

The Data Science team builds production machine learning models that are the core of Signifyd's product. 
We help businesses of all sizes minimize their fraud exposure and grow their sales. We also improve the e-commerce shopping experience for individuals by reducing the number of folks' orders that are incorrectly declined and by making account hijacking less profitable for criminals.
The team has end-to-end ownership of our decisioning engine, from research and development to online performance and risk management.
We value collaboration and team ownership -- no one should feel they're solving a hard problem alone. 
Together we help each other develop our skill sets through peer review of experiments and code, group paper study to deepen our ML and stats understanding, and frequent knowledge-sharing via live demos, write-ups, and special cross-team projects.
The Data Science and Engineering team at Signifyd have always had a strong contingent of remote folks, individual contributors as well as team leads. The challenges of working remotely aren't new to us and we have a track record of iterative improvements to our remote culture.
How you’ll have an impact:

Researching real-time emerging fraud patterns with our Risk Intelligence team
Thinking strategically to optimize the key components of the Signifyd Commerce Protection Platform
Communicating complex ideas effectively to a variety of audiences
Building production machine learning models that identify fraud

Writing production and offline analytical code in Python 

Working with distributed data pipelines
Collaborating with engineering teams to continuously strengthen our machine learning pipeline

Past experience you’ll need:

A degree in computer science or a comparable analytical field
At least 2-3 years of post-undergrad work experience required
Using visualizations to communicate analytical results to stakeholders outside your team
Hands-on statistical analysis with a solid fundamental understanding
Writing code and reviewing others’ in a shared codebase, preferably in Python
Practical SQL knowledge
Designing experiments and collecting data
Familiarity with the Linux command line

Bonus points if you have:

Previous work in fraud, payments, or e-commerce
Data analysis in a distributed environment
Passion for writing well-tested production-grade code
A Master's Degree or PhD 

#LI-Remote
Benefits in the USA:

4-day workweek
Discretionary Time Off Policy (Unlimited!)
Talkspace Online Therapy Membership
Dedicated learning budget through Learnerbly
401K Match
Stock Options
Annual Performance Bonus or Commissions
Paid Parental Leave (12 weeks)
Health Insurance
Dental Insurance
Vision Insurance
Flexible Spending Account (FSA)
Short Term and Long Term Disability Insurance
Life Insurance
Company Social Events
Signifyd Swag
Data Science Recommender Systems at Relationalai

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

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

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

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

Nice to have

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

Hiring Process
Qualified candidates can expect the following hiring process:  

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

All calls will be conducted using zoom with video.
Senior Product Manager Data Science at System1

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

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


What You Can Expect on the Team

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



 What You Will Bring

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



What We Have to Offer

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

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

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

Qualifications:

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

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

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

Qualifications:

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

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

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

Qualifications:


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

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

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