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

Our Mission:
In the age of large marketplaces like Amazon, we expect products delivered to our doorsteps in one or two days at no extra cost. Millions of sellers on other marketplaces fall short, unable to afford fast product delivery to their customers. Our mission is to build an intelligent, asset-lite network that enables any seller to offer ultra-fast, low-cost fulfillment -- transforming the $8 - $12 trillion per year fragmented and outdated logistics industry.
Our Team:
Our backgrounds span journalism, academia, consulting, entrepreneurship, and more. We’re united by our curiosity, bias for action, and entrepreneurial ownership. We're looking for intelligent and ambitious people to join us in the early stages of building our vision -- backed by leading firms in logistics and venture capital.
Sr. Data Scientist - ML/ Operations/ Experimentation: The Data Science team is responsible for Deliverr's predictions, optimizations, and analytics. As a Data Scientist, you will power Deliverr’s decisions by owning and developing a specialized domain of Deliverr’s models.
What you'll do:
This role will specialize in at least one of the following domains:

Machine learning: develop models forecasting various phenomena. Examples include:

How is product X’s future demand distributed across geography and time?
What is carrier X’s speed between points A and B?
How likely are service failures in warehouse / carrier networks?


Operations research: develop optimization models. Examples include:

What is the best way to distribute a product's inventory across a warehouse network?
What is the best way to fulfill an order?
How do we do the above in the face of warehouse capacity constraints, changing transportation network performance, dynamic demand forecasts, etc.?


Experimentation: design and implement experimentation initiatives. Examples include:

How do sellers behave given different features / pricing models?
How do products' demand profiles change as a result of changing fulfillment options?
How do we optimize our marketing budget?



What we’re looking for:

4+ years of experience in a relevant role.
Academic background in a relevant field.
Proficiency in SQL and Python (or similar language)
Ability to work, prioritize, and adapt in a rapid-growth startup.
Knowing the difference between sophisticated and effective.
Data Scientist at Lokavant

About the Opportunity
Now more than ever, improving the speed and reducing the cost of drug development is a top priority for the biopharma and healthcare industry. At Lokavant, we’re leveraging our unique dataset and advanced analytics to do just that.
We are seeking a thoughtful, hands-on, and output-oriented data scientist with an aptitude for or strong interest in clinical trial data to join the rapidly growing Data Science team. Working closely with the Engineering and Product teams, you will use our one-of-a-kind trial dataset to build modern, tech-enabled trial delivery products, powered by your predictive models.
Data Science is a key competency at Lokavant, so you will be instrumental in setting and executing upon the vision for Lokavant’s differentiation in the clinical research industry.
 
Key Responsibilities

Design, build, test and integrate your predictive models into our product. Think anomaly detection for key risk indicators and Bayesian forecasting models for patient enrollment modeling.
Develop tools to enable scalable practices across the growing Data Science team. Think model and query optimization, re-usable internal libraries, and process improvements.
Perform exploratory data analysis and produce easy-to-understand visualizations highlighting key insights.
Take an active role in defining the development roadmap and deliverables for the Data Science team in an integrated agile product development process.
Work in a small team setting partnering with engineers and scientists to derive the insights needed to support our products and product features, including informing our Commercial strategy.
Mentor and be mentored by data scientists of varied experience levels and subject matter areas.

 
Minimum Requirements

3+ years of relevant experience in an analytical role involving data science and statistical modeling
High proficiency in Python and SQL. Bonus points for R, or other scripting languages.
Experience applying advanced statistical models to real world business problems.
Bonus points for experience building data models, and a solid understanding of the “modern data stack”.
Bonus points for experience with Looker, Tableau or other BI visualization tools.
Exceptional written and verbal communication skills.
Strong attention to detail and highly organized, with effective multi-tasking and prioritization skills.
Ability to work as part of a collaborative cross-functional team in a fast-paced environment.
Bachelor’s or Master’s degree with strong academic performance in Statistics, Mathematics, Computer Science, Economics, or equivalent field.

 
Preferred (Nice-to-have) Qualifications

Experience in the life sciences industry
Experience with healthcare data, ideally clinical/operational clinical trial data
Knowledge of clinical data standards (e.g. CDISC, FHIR, HL7, etc.)
Knowledge of e-clinical systems and technologies (e.g. EDC, CTMS, IRT, etc.)
Senior Full Stack Data Scientist Returnly at Affirm

At Affirm/Returnly, we value you as a whole person. We care about the skillset you bring to the table, but more importantly, we care about the kind of person you are, and the culture and attitude you bring to the table. As a Senior Full Stack Data Scientist, you will build data products that will affect thousands of customers with the objective to improve user experience, drive revenue and optimize processes. You will find success in this role if you are a seasoned data scientist who enjoys to design, build and implement statistical models, covering the whole process end-to-end from idea to production.
What you'll do

Solve new and challenging problems around eCommerce payments, credit issuance and settlement, fraud detection, SaaS integration, model serving
Work cross-functionally with some of the best people in different disciplines like data science, analytics, finance, product management, marketing & sales, design
Break down business problems into statistical and machine learning problem formulations
Explore, identify, query and correlate data from several different state-of-the-art data sources (Snowflake, Databricks Delta, Redis, etc.)
Use advanced statistical methods to identify meaningful patterns, producing insights from data
Develop robust classification, function approximation and anomaly detection models based on relational, text, image and time series data
Use feature engineering to extract the best signals for a problem and apply suitable regularization techniques
Develop and write production grade code in Python for our back-end microservices and REST APIs that serve our machine learning applications
Drive quality by writing unit, integration, and performance tests in a continuous delivery environment

What we look for

6+ years industry experience
Very good understanding of applied statistics, such as distributions, hypothesis testing, regression, classification, etc.
Excellent understanding of machine learning techniques and algorithms, such as k-means, k-NN, naive Bayes, SVM, tree-based models, HMM, neural nets, deep learning etc.
Thorough, expert level knowledge of data structures, algorithms, object oriented programming and design patterns in Python
Deep understanding and experience of various technologies, frameworks and libraries in the Python ecosystem
Strong familiarity with *nix environment including bash and command-line tools
Experience with Git version-control system
Strong experience with relational and non relational databases, including SQL
Familiarity of web service technologies and REST best-practices
Basic understanding of distributed systems in a cloud environment, and event-driven architecture
Bachelors or Masters degree in Computer Science, a related field or equivalent experience
Strong interpersonal and communication skills are required
Excellent command of the English language, both written and spoken is a must for communicating with a global team
Proven track record of shipping models in a delivery-focused environment
Exposure to Amazon Web Services
Prior startup experience a big plus




Location - Remote Spain
#LI-Remote
Data Science 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 you will help our product and our customers to build machine learning applications that will solve significant real-world problems. 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)

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 machine learning projects
Natural curiosity, problem solving skills, communication skills
Proficiency in Python 

Nice to have

Masters or PhD degree in Computer Science, Statistics, Economics, Information Technology or related field with a specialization in machine learning
Experience with Tensorflow, PyTorch, or other related machine learning technologies 
Familiarity with deep learning models

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 Data Scientist For Risk at Axiom Zen

We're looking for a top-tier Senior Data Scientist to help us extract, manipulate, analyze, and interpret data. You’ll play a key role in growing a business through your insights, and you’ll help shape the way a revolutionary new technology is introduced to and adopted by new audiences.

Every one of us shares a common vision: to create the future we want to live in. We need the right people to help us realize that vision.


What we'll accomplish together:

Explore, learn and grow Dapper Lab's capacity to mitigate risk in the exciting new world of blockchain and NFTs.
Develop effective data approaches that improve user experience across all areas of our product, including customer onboarding, risk, and deliver insights to stakeholders.
Analyze customer behaviors, rule effectiveness, risk strategies, fraud and money laundering patterns with the goal of building and refining automated risk rules.
Able to identify red flags, suspicious activity, investigate patterns / typologies and work on appropriate solutions from our 'big data' warehouse and disparate external data sources.
Work in a cross-functional team that overlaps product, marketing, engineering and Trust & Safety.
Establish and maintain effective communication with internal and external stakeholders.
Comfortable building relationships across organizations and articulating facts to a diverse audience.



A little about you:

Bachelor's degree OR Master's degree in a technical discipline with 5+ year track record of relevant experience.
Professional experience leveraging heuristic methods and data science approaches (eg., predictive modeling) to solve problems.
Crafty data wrangler with experience working with data engineers and cloud technology (GCP, AWS, Azure, or similar).
Data storyteller with ability to present a compelling narrative surrounding data insights to non-technical stakeholders.
Strong interpersonal and collaboration skills, advisory and communication experience.
Proficiency in Python or R with solid coding skills + top notch mastery with SQL.
Any blockchain, crypto, financial institution or payment industry experience would be an asset.



More about Dapper Labs:

Dapper Labs is the world's first blockchain entertainment company. We are the creators of industry-leading experiences including CryptoKitties and NBA Top Shot, as well as Dapper Wallet, the simplest way to manage your assets and use the blockchain. We are also the original developers behind Flow, a new decentralized blockchain designed from the ground up for scalability and ease of use.

Our mission at Dapper Labs is to make the world a more open, empowering, and enjoyable place through consumer adoption of decentralized technologies. We have raised over $600M from leading VCs including Fred Wilson (USV) and Chris Dixon as well as Venrock, Samsung, Google Ventures, Coatue, NBA players, and global artists, among others. Dapper Labs partners include the NBA and NBPA, the NFL-PA, Ubisoft, Warner Music, Turner, Dr. Seuss, Genies, and the UFC, as well as 100+ others.

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

Jellysmack is the global creator company that detects and develops the world's most talented video creators on social media. We're an optimistic crew who naturally goes the extra mile, has a glass-half-full mindset, and sees challenges as opportunities. We look for positive people who think outside the box, are inventive, bold, lead change, and believe that teamwork matters.
The Team Culture
Our job is to take numbers and turn them into reasons to celebrate! Data drives everything we do at Jellysmack and is thus essential to the company. Data is at the heart of our success, and it drives the content we create and how we edit videos so we can optimize everything we publish. Everyone on our team is capable of going above and beyond the call of duty. Our goal is to gather and analyze data to help the company grow. Do you have what it takes to be part of our team?
The Role 
As a Data Scientist, you will be responsible for product development using data science, all in a strong spirit of collaboration. You will also participate in a guild made up of thirty data scientists to date to share knowledge. You will also have the opportunity to be a mentor for more junior profiles at the algorithmic level and work on our current Data Science projects-- we already have over 40 algorithms in production.
The Responsibilities 
Understanding the financial business challenges and converting them into a Data Science problem. Setting up Time Series POCs and measuring the business impact. Working on Pricing and Budget allocation models.  Industrializing and deploying MVPs in production while ensuring quality throughout the process. Supporting junior profiles, be able to popularize complex algorithms and take on a mentoring role on the Data team. Jellysmack’s technical Stack: Language : Python, C++, Julia (to be “re”-tested) Databases : Aurora, Redshift, ElasticSearch on AWS Librairies : Pandas, PyTorch, Tensorflow, Scikit-learn, SQLAlchemy,... Visualisation : PowerBI, Plotly, Seaborn, bokeh DevOps: Gitlab, Airflow, MLFlow, Docker Environment : We use Pycharm, VSCode, VIM and Jupyter but we’re open to anything on any OS!
Vp Data Science at Keeptruckin

About the Role: 
We are seeking a VP, Data Science to lead a team of Data Scientists and Strategic Analysts. This role has responsibilities across the business -  from building core product capabilities using cutting edge machine learning techniques, to working closely with our customers to help them optimize their business to partnering closely with our executive team on making key strategic decisions.
What You’ll Do: 

Lead and manage a team of 25+ people both in the US and internationally
Solve complex industrial problems using advanced ML, DL, AI, and mathematical modeling and optimization techniques with involvement in the whole cycle of data science tasks. Work with engineering to build scalable solutions that are deeply integrated into every aspect of our product suite.
Work closely with the executive leadership team to inform company strategy and drive a data driven decision making culture across the organization.
Meet with and work with customers on understanding their most complex problems and identifying solutions using the rich data that our systems collect.
Attend industry conferences to stay current on industry trends, challenges, and potential market opportunities

What We’re Looking For: 

12+ years of combined industry and post-graduate academic experience in a quantitative field and a proven ability to apply scientific methods to solve real-world problems
5+ years of leadership experience managing a team of 15+ data scientists and product analysts across multiple locations at a technology company. Experience in leading an organization with managers, ICs, and technical leads.
5+ years working in SaaS
5+ years of experience in M/L

Creating a diverse and inclusive workplace is one of KeepTruckin's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives. 
Please do not let an arrest or conviction record prevent you from applying for employment at KT. KT considers qualified applicants with arrest and conviction records.
Please review our Candidate Privacy Notice here.
Implementation Data Scientist Uk at Altana

The Solutions team is looking for talented Implementation Data Scientists to help execute on this vision. You’ll work closely with our Data Scientists, Product Managers, Software Engineers, and leadership team in order to:

Manage successful customer software deployments and technical work streams from end-to-end, with the ability to effectively manage priorities, deliver on-time, and communicate effectively internally and with customers
Become a power-user of the Atlas platform and API products, support customers in rapidly achieving value from the solution, and identify new use cases to address customer pain points
Oversee the specification and development of new or expanded solutions
Deeply understand the trade compliance/supply chain risk domain, Altana’s technology, and our customer base--and demonstrate effective communication and writing skills with respect to each 
Work closely with Solutions Managers to integrate feedback from internal and external customers.
Leads firm-building activities (e.g, recruiting, knowledge building / domain expertise development, etc.)

This position can be worked remotely, but you should be comfortable working on London time.
About You

3+ years of success in consultative/complex technical sales, deployment or otherwise client facing projects (where necessary, managing various stakeholder relationships to get consensus on solution/projects)
1-2 years technical experience in analytics, data science, software engineering or a similar technology related field
Exposure to trade compliance, supply chain management or a field similarly related to international commerce
Experience with machine learning
Record of ownership and delivery of projects with major organizational impact

Strong written and verbal communication skills


Nice to have, but not required

Expertise or experience with Python, SQL, Databricks, ArangoDB, AWS or Azure
Experience with Machine Learning toolsets (Scikit-learn, Numpy, Pandas, Dedupe)
Working knowledge of cloud services like AWS, Azure, or GCP

Technologies we love

Languages: Python, Spark
Tools: Docker, Git, Kubernetes, Swagger/OpenAPI, AWS, Azure
Datastores: Databricks, Elasticsearch, Postgres, Redshift, ArangoDB
Senior Data Scientist Causal Inference at Discord

You will:
Partner with Data Scientists and Growth PMs to understand our key business questions and map our causal inference needs.
Develop, deploy and socialize frameworks for causal inference in AB testing, Quasi Experiments, and no experiments environments.
Champion experiment design (including A?B, Geo, Social Graph) and partner with Data Platform on how we should revamp our experimentation platform.
Deliver complex analyses that require causal inference methods to be addressed rigorously.
Conduct literature reviews, socialize and deploy best statistical practices for Causal Inference across Discord, Experimentation, and Data science. 
Train and empower our Data Science personnel to use more rigorous causal inference methods. 
You have (not hard qualifications - if you're not sure, please apply!):
PhD in a quantitative field and 4+ years of experience in experimentation / causal inference or related field.
Track record in using causal inference methods that translated into business decisions and outcomes.
Experience in autonomously leading cross functional projects and influencing cross functional partners.
Proficient with Python / R, SQL, and other statistical programming languages. 
Bonus Points
Passion for Discord or online communities. 
Experience with experimentation for social media or international subscription-based online services.
Experience with driving changes in experimentation platforms. 
Causal inference related publications.  
Benefits and Perks
Comprehensive medical insurance including Health, Dental, and Vision (Plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
19+ paid holidays, 4 weeks of PTO, use-what-you-need sick days and volunteer time off
Paid parental leave (plus fertility, adoption and other family planning benefits)
Generous stipends for headphones, your remote work setup, and lunch on a daily basis (while we're all remote)
Flexible long-term work options (remote and hybrid)
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees 
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
In a world of polarization, social curation, and loneliness, Discord is working toward an inclusive world where no one feels like an outsider. We believe in the value of genuine human connection, which can so easily be lost online. So we’re building a space where everyone can find belonging from the inside out. If this strikes a chord with you, come build belonging with us!
#LI-GB1
Apply Now
Director Data Science Territory Modeling at Liberty Mutual

Description & Responsibilities
Qualifications
Featured Benefits
Why Liberty Mutual?
The Product Design and Modeling organization within Global Retail Markets is hiring a front-line manager for its Complex Components group to lead the Territory Modeling team.  The Complex Components group develops sophisticated models that are used as input, or as complement, to our core pricing programs. This manager will report directly to the head of Complex Components and be tasked with managing a team of Data Scientists towards our broader goal of creating and implementing the greatest territory factors the world has ever seen.  The ideal candidate would be someone who is resilient (undeterred in the face of failure), passionately driven to make things better, holds themselves to a high standard and wants to be surrounded by others who do the same.
Manage a team of Data Scientists building territory models across Auto, Property, Business Lines, for the US and East/West markets.
Research new geographic predictors and predictive algorithms to enhance pricing sophistication.
Work with DSOs, Product Delivery, and East/West local teams to implement industry leading territorial pricing.
Work with regulators to get territory pricing models approved in all our markets.
Establish project plans, ensure quality deliverables within agreed upon timeframes, communicate results, and make recommendations to address issues.
Collaborate with analytical peers and counterparts to stay on top of business trends and analytical best practice.
Job Specifications:
Reference:  2021-43094
Category: Data Science
Primary Location: Remote
Additional Locations: Boston, MA; Seattle, WA; 
Schedule: Full-Time
Salary: USD-$144,700.00-–-$204,900.00-/-Year
Education Level: 
 Travel: As Needed
Director Data Science at Liberty Mutual

Description & Responsibilities
Qualifications
Featured Benefits
Why Liberty Mutual?
The Global Risk Solutions Advanced Analytics Hub is seeking an experienced data scientist to develop and deploy innovative and cutting-edge models that solve business problems in a variety of new business areas.  In this role, you will be the first hire on a new team responsible for expanding the AA Hub’s capabilities and reach in new areas like Distribution and Portfolio Management.  You will manage data science engagements from beginning to end — ideation with business partners to final system implementation.  Projects will vary in nature, complexity, location, and duration creating a dynamic environment with ample opportunities to learn, influence decisions, and solve complex business challenges. You will also be expected to help develop the teams’ modeling practices and toolsets for model development and deployment. Knowledge of insurance and Actuarial principles is a plus.
Responsibilities
Engage with business partners to understand problems/aspirations and develop innovative data science solutions that address business needs.
Lead preparation of modeling data and other analysis. Conduct research and identify experts to develop robust understanding of the issue, available information, and best modeling approach.
Provide technical expertise to set project direction, resolve issues encountered in modeling, and develop team members. Perform complex modeling.
Present findings and make actionable business recommendations that influence decisions and/or customer satisfaction.
Effectively communicate results in written, oral and presentation formats. Build effective relationships with business partners.
Continually improve your technical skillset through research, collaboration, and other modes of learning. Participate in the broader DS/ML community to stay current with the latest techniques. Engage with staff within and beyond the predicative analytics team, training and advocating for the use of DS/ML techniques in other business areas.  Actively participate in peer review and quality checking processes.
Help attract and develop top talent. Help create an inclusive, engaging, and collaborative team environment. 
Job Specifications:
Reference:  2021-40376
Category: Data Science
Primary Location: Remote
Additional Locations: 
Schedule: Full-Time
Salary: USD-$128,200.00-–-$179.50-/-Year
Education Level: 
 Travel: As Needed
Senior Data Scientist at Amazon

DESCRIPTION
Are you interested in taking the world’s most broadly adopted and comprehensive cloud platform and architecting and building solutions that will deliver consumer and retail like customer excellence to the recruiting and hiring process at AWS?About the teamThe AWS Talent Acquisition Product Development team is responsible for innovating, architecting, and building, global and scalable technology solutions that transform the recruiting and hiring experience. These solutions will be utilized by thousands of people inside and outside the organization. This team and the solutions we build are a critical component in AWS’s continued growth.A day in the lifeInnovation is at the center of this team. As a Senior Data Scientist you will work collaboratively with a global customer base, program managers, product managers, designers, and engineers to create, refine, and explore ways in which we can transform the recruiting and hiring process at AWS with chat and voice based solutions delivered to users in the flow of work. In this role, you will be a technical expert with significant scope and impact. You will work with Product Managers, Designers, Data Engineers, and Software Engineers to build new ML models to optimize customer experience for the consumption of data and market intelligence. You communicate ideas effectively, drive ideas to detailed product deliverables, and help establish success metrics to optimize results.
BASIC QUALIFICATIONS
· Bachelor's Degree in data science or related disciplines including but not limited to computer engineering/science, management information systems, informatics and analytics.· 3+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)· Minimum 4 years working as a Data ScientistExperience with complex data sets and structured and unstructured human perception data, such as data collected on Likert scale via survey platform
PREFERRED QUALIFICATIONS
· Experience in machine-learning methodologies (e.g. supervised and unsupervised learning, deep learning etc.)· Strong background in statistical methodology, applications to business problems, and/or big data.· Comfortable communicating with technical and non-technical audiences.· Able to work in a diverse team of scientists, product managers and program managersAbility to work on a diverse team or with a diverse range of coworkers
Machine Learning Scientist at Strong Analytics

Strong Analytics is seeking Machine Learning Scientists to help design and develop machine-learning based solutions for clients ranging from startups to Fortune 500s. ML Scientists are core contributors at Strong, with responsibilities such as building data analysis pipelines, designing/training/validating machine learning models and algorithms, and collaborating with colleagues and clients on state-of-the-art research. The ideal candidate is proficient in Python and/or R, SQL, and has prior experience working on ML solutions from concept to production.

At Strong, your work will have an immediate impact on clients addressing real world challenges. Our work spans industries such as manufacturing, gaming, agriculture, automotive, and healthcare, among others. We pride ourselves not only in building the right solutions for our clients through research and development, but in implementing and scaling up those solutions through strong engineering. This role thus requires a deep expertise in applying data science and machine learning to real-world problems where data must be gathered, transformed, cleaned, and integrated into a larger architecture.
Responsibilities
Work with other machine learning scientists and engineers to develop custom ML solutions for a variety of industries and use cases
Develop, train, and validate machine learning algorithms
Apply techniques such as classification, clustering, regression, NLP, deep learning (CNN, RNN, GANs), time series forecasting, and Bayesian methods to build scalable solutions
Help create generalized solutions out of specific use cases
Help identify areas of opportunity and improvement within projects
Research new techniques and technologies in the space of ML and AI, and evaluate their potential for business use cases
Collaborate in a fully remote, Agile-like environment using tools like Slack and Git (with a lot of uninterrupted development time)
We offer a comprehensive compensation package, including:
Competitive salary
100%-covered Health insurance for employees, 75%-covered dependents
Four weeks PTO
401(k) with employer contribution matching
Personalized monthly perks with matched charitable donations
A 100% remote work environment with highly protected work/life balance
Data Scientist Growth at Dapper Labs

Data Scientist, Growth
Full-time | Dapper Labs | Remote | Data
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-timeUnderstand the competitive marketplace, business issues, and data challenges to deliver actionable insights, recommendations, and business processesDesign and implement experiments to test various hypothesesInfluence development teams to implement tools, features, and designs - success is measured in new users, retention, marketplace activity, drops, and lifetime valueResearch new modeling algorithms, languages, packages, and statistical tools to enhance the overall productivity of the teamWork with members of the Data Science team to deliver high-impact AI/ML products.
More about Dapper Labs:
Dapper Labs is the world's first blockchain entertainment company. We are the creators of industry-leading experiences including CryptoKitties and NBA Top Shot, as well as Dapper Wallet – the simplest way to manage your assets and use the blockchain. We are also the original developers behind Flow, a new decentralized blockchain designed from the ground up for scalability and ease of use.
Our mission at Dapper Labs is to make the world a more accessible and enjoyable place through consumer adoption of decentralized technologies.
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’ current studio partners include the NBA and NBPA, the NFL-PA, Ubisoft, Warner Music, Turner, Dr. Seuss, Genies, and the UFC, as well as 100+ others.
Visit our website to learn even more about Dapper Labs, includinginformation about benefits and perks.
#LIremote
Apply Now
Senior Data Scientist International Analytics at Reddit

We are looking for a results-oriented and strategically minded Senior Data Scientist, Analytics to work with our International Growth team as Reddit expands its user base to India.
How You’ll Have Impact:
Today the majority of Reddit’s user base lives in the US. Reddit’s mission is to bring community and belonging to everyone in the world, which means we’ll be making a major push to expand our audience internationally. We’ve identified India as a key market and need you to be a key player in exploring and understanding the key levers to drive growth.
What You’ll Learn:
As a Data Scientist, you will become an expert in improving Reddit’s product-market fit for a global user base. You’ll be pivotal in understanding how Indian users interact with our product today and how that differs from other audiences. You’ll be a champion to the users through evaluating performance of existing Reddit features for India users, as well as uncovering opportunities for new experiences that are optimized for worse internet connections.
You will work side by side with a world-class org of Engineering, Machine Learning, Search, Community Operations, Product Management practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product creation. In this process, you will be exposed to a variety of new techniques in experimentation, machine learning, and exploratory analysis
What You’ll Do:

Partner cross functionally with Eng and Product leads to help define and execute international growth’s India roadmap and initiatives
Become the expert at understanding user behavior and long-term trends in India
Generate data-driven insights that propose next steps in the strategic roadmap
Design and evaluate A/B tests for product feature experiments to determine the effectiveness of product strategy
Define team metrics and goals and make them easily available through ETLs (extract/transform/load) and reporting dashboards

Who You Might Be:

4-6 years of experience in quantitative analytical roles, preferably for growing at-scale consumer products outside the US
Proficiency with relational database (e.g., SQL)
Familiarity with statistical analysis and programming languages (e.g., R / Python)
Results-oriented with a strong customer and business focus
Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments.
Ability to communicate and discuss complex topics with technical and non-technical audiences
Ability to tackle ambiguous and undefined problems
Previous experience with the India market preferred but not required
Senior Data Scientist Analytics Ecosystem at Reddit

The mission of our newly formed Ecosystem team is to support Reddit’s strategy through the independent evaluation of new initiatives & by being the source of truth of company-level product performance metrics. We are looking for a Staff Data Scientist who would like to join our organization and help build our Ecosystem vertical. If you would like to join a thriving new area that is driving the conversation on the most strategic decisions Reddit will take at the executive level over the next months and years, we have a role for you!
How You’ll Have Impact:
You will be the eyes and brain behind getting a foundational understanding of how Reddit works, and the expected impact of various different strategic initiatives. You will steer Reddit’s strategy and guide the company’s investment so we can fulfill our mission of bringing a sense of community and belonging to everybody in the world. 
What You’ll Learn:

You will be exposed to the ins and outs of everything that is happening at Reddit, and as a result will learn about every single strategic area that is being created
You will work directly with senior leadership and every Data Science team embedded across the organization

What You’ll Do:

Lead the definition and reporting of Reddit’s core product metrics across all levels of leadership, including Reddit executives
Define KPIs and make them easily available through ETLs (extract/transform/load) and reporting dashboards
Generate data-driven insights, analytical frameworks, metrics strategy and data models to evaluate product/company performance and guide strategic decisions
Collaborate with your peers across Data Science and Data Platform to guide an overarching data strategy for Reddit, including a plan for robust data validation and data quality
Establish yourself as a leader and mentor within the broader Data organization

Who You Might Be:


4-6 years of experience in Data Science or Analytics function in a tech consumer company

Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)
Experience writing ETLs 
Experience creating and owning reports in visualization tools (Mode, Tableau, Looker, Power BI, etc)
Experience with product metrics across different areas, including new metrics definition
Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way. 
Experience working with senior cross-functional stakeholders (Director+)
Bonus Points: Experience working with Finance and/or Corporate Strategy teams
Credit Model Risk Lead Machine Learning at Affirm

We’re looking for an intelligent, driven professional to join our Model Risk Management (MRM) team. This team seeks to establish, maintain and oversee an effective MRM framework to identify, quantify, monitor, mitigate and report on model risk throughout the company. You will have an outstanding opportunity to work cross-functionally to develop a profound understanding of models that drive critical business decisions, and add value to the company by mitigating risks due to ineffective model design or model misuse. 
What you'll do

Perform independent challenges of machine learning models used for credit underwriting/credit risk management through thorough validation and ongoing monitoring. Identify model weaknesses and opportunities for improvement;
Collaborate with model owners to remediate model validation findings;
Partner cross-functionally to implement and maintain the company’s MRM framework;
Partner with Internal Audit, Internal Controls, and Compliance to ensure timely resolution of audit and regulatory requests.

What we look for

3-6 years of professional experience in related technical areas such as model development, model validation, data science
Deep and broad knowledge and experience in machine learning modeling, credit underwriting, and credit risk management
Strong coding skills in Python, SQL
BS, MS, or PhD in a quantitative field such as Math, Data Science, Computer Science
Oriented toward detail, curious about data/models/algorithms, skilled at critical thinking and problem solving
Extraordinary interpersonal and verbal/written communication skills



Location - Remote U.S.
Grade - USA29

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Data Scientist at Signifyd 4A42B37C 2426 42B2 A47F 5248Ec89066B

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 skills through peer review of experiments and code, group paper study to deepen our ML and stats understanding, and frequent knowledge-sharing through 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 and team leads. The challenges of working remotely aren't new to us and we have experience iterative improvements to our remote culture.
How you'll have an impact:

Research real-time new fraud patterns with our Risk Intelligence team
Improve the important components of the Signifyd Commerce Protection Platform
Communicate complex ideas to a variety of audiences
Build production machine learning models that identify fraud
Write production and offline analytical code in Python
Work with distributed data pipelines
Collaborate with engineering teams to strengthen our machine learning pipeline

Past experience you'll need:

A degree in computer science or a comparable analytical field
2+ years of post-undergrad work experience required
Use visualizations to communicate analytical results to members outside your team
Hands-on statistical analysis with a solid fundamental understanding
Write code and review others' in a shared codebase, preferably in Python
Practical SQL knowledge
Design experiments and collect 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

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(Colorado only*) Minimum salary of $95,000 + bonus + equity + benefits.

Note: Disclosure as required by sb19-085 (8-5-20) of the minimum salary compensation for this role when being hired into our offices in Colorado.

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 Scientist at Cohere Health

Opportunity overview
We are looking for innovative and creative individuals who seize opportunities to uncover hidden drivers, impacts, and key influences to support our product, leadership and clinical teams by applying optimization and statistical methods on a variety of data. You will work closely with the clinical program and product teams to support decision-making and will dig into a wide range of strategic and clinical problems.
As a growing organization, we have built a team of talented and experienced people who are passionate about helping providers and patients and this is a position that offers the ability to make a substantial impact on the company with rapid growth opportunities. You will be part of a growing data science team within the technology organization. 
What you will do: 

Play a key role in gathering business requirements, using them for product analysis and uncovering actionable insights, and writing technical requirements; using a variety of analytic tools
Perform in-depth analysis of healthcare data coupled with data from product and other sources to independently design, develop, and deliver analytic deliverables that meet quality, cost and service objectives
Leveraging data from various sources, e.g., eligibility, medical, pharmacy claims, and data submitted by providers via the prior authorization process, working with Clinical Programs to analyze and simulate expected impact and ROI, e.g., medical expense, administrative cost, improved quality and outcomes
Present information using data visualization techniques and propose solutions and strategies to business challenges

What you bring:

3+ years analytical experience at company where health outcomes were critical to the mission, preferably a healthcare analytics company or population health organization
Proficient in current modeling approaches, standard scientific methods for intervention based analysis, trend identification, and data analytics
Strong experience using a variety of data mining/data analysis methods, utilizing a variety of analytic tools, building and implementing models, creating algorithms and running simulations
Experience with programming languages (Python, R, PySpark, Scala and/or Spark SQL)
Strong interest and understanding of EMR data, Claims and SDOH data
Experience with data visualization tools such as Tableau and  Kibana, preferred
Bachelor’s or Master’s degree in STEM, public health, biostatistics, economics, or other related field

What you bring bonus edition:

Experience with Amazon AWS cloud platform 
Experience with ElasticSearch
Experience with graph database

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#BI-Remote