nathansutton/data-science-job-descriptions huggingface dataset:
Data Scientist India at Token Metrics

Token Metrics is searching for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

As a machine learning engineer, you should demonstrate solid data science knowledge and experience.

A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive models.


Responsibilities

Consulting with the manager to determine and refine machine learning objectives.
Designing machine learning systems and self-running artificial intelligence (AI) to automate predictive models.
Transforming data science prototypes and applying appropriate ML algorithms and tools.
Ensuring that algorithms generate accurate user recommendations.
Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
Developing ML algorithms to analyze huge volumes of historical data to make predictions.
Stress testing, performing statistical analysis, and interpreting test results for all market conditions.
Documenting machine learning processes.
Keeping abreast of developments in machine learning.



Requirements

Bachelor's degree in computer science, data science, mathematics, or a related field.
Master’s degree in computational linguistics, data science, data analytics, or similar will be advantageous.
At least two years' experience as a machine learning engineer.
Advanced proficiency with Python, Java, and R code.
Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
In-depth knowledge of mathematics, statistics, and algorithms.
Superb analytical and problem-solving abilities.
Great communication and collaboration skills.
Excellent time management and organizational abilities.



About Token Metrics

Token Metrics helps crypto investors build profitable portfolios using artificial intelligence based crypto indices, rankings, and price predictions. 

Token Metrics has a diverse set of customers, from retail investors and traders to crypto fund managers, in more than 50 countries.
Data Scientist Intern at Lacework

Lacework is the data-driven security platform for the cloud. The Lacework Cloud Security Platform, powered by Polygraph, automates cloud security at scale so our customers can innovate with speed and safety.
At Lacework, we strive to provide a supportive, collaborative environment where people are empowered to do the best work of their careers.
Our team members enjoy solving complex problems, big sky thinking, and obsess over getting the details right—all while building bonds of teamwork and friendships that last a lifetime. We love what we do and are proud of our work to secure clouds and container environments for thousands of users worldwide.
The Data Science & Engineering team is central to Lacework, and collaborates across multiple domains to ship value through data analysis and modeling. Our work contributes directly to delivering the core data-driven products and features that Lacework offers to its customers, as well as improving and optimizing the technologies and processes that the company relies upon.
The Role: We are looking for a Data Scientist Intern to join our Data Science & Engineering team. This is a hands-on role where you will be responsible for executing on projects with tangible deliverables for the company and to our customers. You will be expected to:

Employ languages and tools like SQL, Python, R, and/or others to perform efficient data exploration and modeling, and deploy those solutions in production.
Build actionable insights and models to help drive critical decisions and improve our products.
In partnership with engineering, product and business teams, build roadmaps & goals and execute against them while balancing speed, accuracy and precision.
Build strong cross functional partnerships.
Demonstrate good communication skills and present work to peers and leadership.
Strive to use general and scalable methodologies and tools; stay current with the latest tools and techniques.

Minimum Qualifications

Currently enrolled in a degree in quantitative field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, Economics, or other related fields).
Experience doing quantitative analysis including experience with SQL, other programming languages (e.g, Python) or statistical/mathematical software (e.g, R, SAS, MATLAB).
Experience with statistical methods such as forecasting, time series analysis, experimentation, hypothesis testing, classification, clustering, anomaly detection, regression analysis and/or others.
Experience developing data pipelines, building dashboard, and deploying machine learning models.
Ability to deal with ambiguity, drive projects / analyses to conclusion with limited supervision and communicate analysis in a clear, concise and actionable manner.

Preferred Qualifications

Currently enrolled in an advanced degree (Master’s or PhD) in a quantitative field.
Experience with cloud platforms like Snowflake, AWS, GCP, etc.
Experience in Cloud Security or Infrastructure Security.
Staff Data Scientist Finance at Shopify

You will need to have:
7-10 years of commercial experience as in a data science role solving high impact business problems, including 3+ years leading and maintaining high performance data science teams
Experience building and managing high performance data science teams
Experience delivering business impact through analysis and data products
Experience building data pipelines and driving ETL design decisions
Technical leadership and management experience (you enjoy doing both).  You can jump into the code to the level that your direct reports admire and respect, but are also interested in developing people and capacity for your team
Experience creating data product strategies, shipping data products, iterating after launch, and trying again
Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
Strong ability to prioritize and communicate to technical and non-technical audiences alike
It would be great if you have:
Previous experience using Spark (either via Scala or Pyspark)
Experience with statistical methods like regression, GLMs or experiment design and analysis, shipping productionized machine learning systems or other advanced techniques are also welcome
Experience with data storytelling using Tableau, QlikView, Mode, Matplotlib, D3, or similar data visualization tools
All your information will be kept confidential according to EEO guidelines.
If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.
As there are multiple positions, this posting will remain live until all positions have been filled. Successful candidates can expect to hear back from us within 2 weeks of application.
#LI-REMOTE
Senior Data Scientist Partnership Insights at Shopify

Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success. 
Our Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.
The One Shopify and Executive Insights Team is responsible for three areas:
Strategic Analysis & Projects:
Engaging in strategic projects and data investigations / deep dives to inform team strategies and investment plans (e.g., merchant segmentation & opportunity sizing; growth opportunities; roadmapping).
Performance Measurement & Operational Support: 
Setting north star metrics, KPIs and targets for the team.
Building self-serve dashboards to support ongoing partner performance measurement for use both internally and externally.
Conducting deep dive performance analyses on pilots, product launches & GTM initiatives.
Supporting and engaging in Monthly and Quarterly Business Reviews, sharing data insights and performance. 
Executive Insights: 
Surfacing executive-level insights to inform executive briefs, investor relations & external facing reports.
In coordination with Partnerships & BizOps, building strong data narratives for executives that accurately reflect performance for our partners.
Senior Data Science Manager Buyer Trust at Shopify

On the Buyer Trust team, we believe that buyers want to be able to trust independent merchants. Shop Promise helps merchants build this trust by showing potential buyers a guaranteed and branded delivery estimate across the buyer journey. Now that Shop Promise has been launched, we are looking for a strong leader to take the Buyer Trust Data Science team to the next phase in their journey. You’re joining a team in the early stages of building a product that has the potential to be transformational for merchants across the globe.
You will be:
Leading a team of super-talented data scientists
Guiding the short-term and long-term data science strategy for the Buyer Trust team
Providing technical leadership to our data science team as they analyze data, run experiments, create models, and build data products 
Joining a cross-discipline product leadership team and contributing to the strategic decisions that guide the team’s roadmap
In partnership with product managers, engineers, and designers, building product experiences that enable Shop Promise to scale across our merchant base
This unique role combines global scale in a hyper-growth and fully remote environment. For the right individual this is the challenge and the opportunity of a lifetime.Some of the Data Science & Engineering members you’ll work with:
Mike Develin, Director of Data Science (Merchant Services)
Josh Kraut, Sr. Data Science Manager

Rohit Mishra, Director of Product, Markets and Buyer Trust
Data Scientist New Grad at Gopuff

Position Overview:
Are you passionate about advanced analytics and data science? Do you describe yourself as an innovative problem solver? Looking for an opportunity that will directly impact the customer experience at Gopuff? Come join the Gopuff Data Science team and #ChangeTheGame.
Gopuff is a high-growth startup that is revolutionizing hyper-local e-commerce. We warehouse and deliver thousands of products to your door super fast. We're currently operating in over 700+ cities within the US and expanding quickly.
As a Data Scientist at Gopuff, you’ll build and deploy machine learning models for all sorts of highly important use cases - including recommendation and personalization, predictive LTV, pricing optimization,  predictive inventory planning, operations optimization, etc. You will also drive changes that increase efficiencies and improve the customer experience. You’ll have the opportunity to make a huge impact on the future success of goPuff.
We’re looking for a doer, problem solver, and thought-leader.
Key Responsibilities: 
Collaborate with our business and engineering partners across the organization to deliver data science solutions for practical business problems. Work with the project leads and product managers to identify and scope new opportunities for data science projects and implement advanced analytics solutions that become essential to our daily business operations
Build Recommender Systems and personalization solutions to greatly enhance shopping experience
Build models that support real-time events and internal stakeholder decisions across the business - from Marketing and Merchandising to Operations and Supply Chain
Productionize and deploy models using cloud based tech stacks including Snowflake, Databricks, Azure Ecosystems and etc.
Drive adoption of data products and data science solutions into the planning process for investment decisions with finance and the leadership teams
Identify gaps in existing data, create data product specs, and work with Engineering teams to implement enhanced data tracking
Partner with Analytics team members and other functions to share insights and best practices, ensuring consistency of data-driven decision-making throughout the org
Required Qualifications:
Currently pursuing a Masters or Ph.D. in statistics, mathematics, analytics, computer science, engineering or another quantitative field from an accredited university or college
Graduating between December 2022 - June 2023
Preferred Qualifications:
Hands-on experience applying descriptive statistics, machine learning, predictive modeling to solve challenging problems
Programming skills in Python
Data querying skills in SQL
Excellent communication and presentation skills
Ability to explain technical concepts in simple terms to business stakeholders
Move fast, be a team player, always be learning and give back
Staff Data Scientist at Shopify

About the role
Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.
Our Staff Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.
Qualifications
7-10 years of commercial experience in a data science role solving high impact business problems
You have well built technical experience that inspires individual contributors  creativity and innovation. 
You have experience with product leadership and technical decision making.
You have been working closely with various levels of business stakeholders, from c-suite and down.
You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team.
Multiple work streams excites you, you are able to use ambiguity as an opportunity for high level thinking.
Experience creating data product strategies, data products, iterating after launch, and trying again.
Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
What would be great if you have:
Previous experience using Spark.
Experience with statistical methods like regression, GLMs or experiment design and analysis.
Exposure to Tableau, QlikView, Mode, Matplotlib, or similar data visualization tools.
All your information will be kept confidential according to EEO guidelines.
If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.
At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.
#LI-REMOTE
How we hire
At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
Learn more about our hiring process
Data Scientist at Sardine

Sardine helps neobanks and crypto wallets with fraud indemnification and advanced risk scoring. We're rapidly growing but still a small team. You'll be essential part of building next phase of company.
You will:
Develop statistical and machine learning models for fraud prevention and other use casesUse data and models to support the development of risk mitigation strategies and interventions while preserving and improving the user experienceEvolve our risk metrics, the datasets to support them, and the measurement of causal impact of initiatives to improve themBring data-driven thinking to our team and our customers
We’re looking for someone who has:
5+ years of data science/quantitative modeling experienceAdvanced Degree in Mathematics, Statistics, Quantitative Finance, Economics, Sciences, Engineering, or Computer ScienceStrong working knowledge of SQL, R, Python, Matlab, C++, or equivalentCreative problem solving, strong critical thinking, and a get things done mentality
Technologies we use includes:
bigtablepostgresGCP dataflow (apache beam)bigqueryElasticSearchMetabaseTypeScript (React + node)GolangPythonRuby
Benefits
Remote-firstFlexible PTOHealth care and 401KWork from home stipend7-year for post termination option exercise (vs standard 90 days)
Analyst Baseball Research Development R D at Washington Nationals

Summary:
The Washington Nationals are seeking an Analyst to join our Baseball Research & Development team. The analyst will use data science to derive insights from baseball datasets to support player evaluation, player development, and in-game strategy. The analyst will report to the Director of Baseball Research and largely work on long-term research projects. Collaboration is a critical part of working on the R&D team, including informal interactions, as well as weekly analyst meetings and regular code reviews. Analysts must also be able to communicate clearly with members of departments across baseball operations, including technical and non-technical audiences. Our department is flexible enough to accommodate candidates with specialized strengths or areas of interest, but we are seeking applicants with general ‘baseball feel’ and data science experience.
Essential Duties and Responsibilities:
Research specific areas of the game using statistical modeling
Build and maintain these models and take ownership of their results
Communicate findings through written reports, presentations, and informal conversations
Develop deep understanding of existing body of R&D team’s research, code base, and database. Take on some responsibility for improving and maintaining existing projects
Design and build informative data visualizations for use in automated reports or internal web applications
Perform ad hoc analyses on questions that come to Baseball R&D from across the organization
Requirements:
Minimum Education and Experience
Experience analyzing datasets and training statistical models using R, Python, or equivalent
Has an undergraduate or graduate degree from a four-year college or university, preferably in Data Science, Statistics, Mathematics, Computer Science, or related field
Authorized to work in the United States
Knowledge, Skills, and Abilities Necessary to Perform Essential Functions
Ability to complete long-term statistical modeling projects and incorporate technical feedback
Proficiency in technical report composition
Clear writing and communication
Enthusiasm for learning new skills related to programming, statistical modeling, and data visualization
Passion for baseball and desire to work in baseball operations
Working knowledge of sabermetric concepts
Physical/Environmental
Attend approximately half of the Nationals home games (meals provided)
Ability to work occasional weekends and/or evenings during the baseball season
All applicants for employment at the Washington Nationals are required to be fully vaccinated against COVID-19 prior to commencing employment. Applicants who receive a conditional offer of employment will be required to produce proof of vaccination status prior to their first day of employment. Applicants with qualifying disabilities or bona fide religious objections may be exempted from this requirement or otherwise accommodated if they are unable to be vaccinated.
Senior Data Scientist Ads Optimization Ml at Reddit

We are looking for a Senior level Machine Learning Data Scientist to build new ML products to improve ad performance and advertiser ROI. You will work closely with engineers and product managers from the Advertiser Optimization team to up-level the current Budget Pacing system, build ML-based auto-bidding products, as well as develop reinforcement learning models for dynamic creative optimization (Ad Level Optimization). This person is an industry technical leader in the online ads marketplace optimization domain with a solid technical background, strong business acumen, and excellent cross-functional stakeholders management skills. 
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:

You will dive deep into the Budget Pacing system and help the team identify efficiency gaps and areas for improvement. You will research and develop ML-based PID controllers and auto-bidding products to improve advertisers’ performance.
Research, design, and develop contextual bandit models or similar reinforcement learning techniques for dynamic creative optimization (DCO) that can improve ad performance and bring more value to advertisers, especially for Shopping Ads. 
Be involved in all phases of modeling such as ideation, offline modeling, online implementation, experimentation, deploy and post-launch monitoring/measurements.
This role will have a lot of overlap with other Machine Learning Engineer roles, but will differ in a couple of areas. First is that you will work mainly on offline modeling and rely on engineers to productionize your models. Secondly, you will have a keen interest in the collection and quality of underlying data (experiment design and analysis, data deep dive), along with working on ETLs and data aggregations needed for training, testing and productionizing models. 
Serve as a thought-partner for product managers, engineers, leadership in shaping the monetization roadmap and strategy for Reddit by identifying opportunities through deep-dive analyses and/or modeling.

What We Can Expect From You:

Relevant experiences in ads marketplace.
Ph.D., M.S. or Bachelors degree in Statistics, Machine Learning, Operations Research, or other quantitative fields (If M.S. degree, a minimum of 1+ years of industry data science experience required and if Bachelor’s degree, a minimum of 2+ years of industry data science experience).
Proficiency in at least one of the areas: operations research, operations management, control theory, reinforcement learning, statistical modeling, and optimization.
Deep understanding of online experimentation and causal inference.
Strong analytical and communication skills.
Strong skills in programming (Python or R) and SQL.
Machine Learning Researcher at Brave

Brave is looking for an experienced Machine Learning engineer to help build our Brave Web Browser. It's already receiving rave reviews and we are only just beginning. Jump in and work with a top-notch team and watch our adoption soar with your help. We need to hire a machine learning engineer to help with a wide range of key issues, ranging from better ad targeting to finding and fighting malware. 
Specific Skills That Will Set You Apart from the Competition

Privacy-preserving machine learning
Decentralized machine learning
Deep knowledge of adtech
Ph.D. in computer science from a top-tier school 

About you
An ideal candidate will have a mix of skills that include the following:

Demonstrates a high level of initiative and consistently delivers high-quality answers
Has an enquiring mind and a disciplined scientific approach to extracting facts and understanding observed behavior
Is excited by the potential of realizing high-value commercial outcomes and change the way that the advertising business operates
Want to be part of a high-growth startup company with global ambitions 
Comfortable with JavaScript and C++ so that they can effectively interact with the rest of the team. Knowledge of Python, Java or C# is also strongly encouraged.
Has a proven track record implementing data driven products and a broad understanding of the state of the art in machine learning 
Comfortable working in an open source setting
Able to create and deploy machine learning pipelines
Has a passion for helping protect users’ privacy and security
A Ph.D. in computer science is highly preferred, but we may consider some exceptions

Specific Skills


Logistic Regression, Decision Trees, Random Forest, Naive Bayes, Clustering, etc. and a good grasp of the strengths and weaknesses of specific approaches
Basic data cleansing and preparation, variable preprocessing/transformation
Univariate analysis, performing statistical tests, covariance analysis, multivariate analysis and linear/non-linear regression
Preparation of data sets for predictive modelling, robust predictive model building, validation and application
Automation of statistical processes and integration into a bigger product
Experience in Hadoop technologies such as Hive / Impala and distributed data pipelines such as Airflow / Luigi

What we offer



Ability to work at an exciting and well-funded international startup headquartered in San Francisco
Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions
Competitive compensation and plenty of room for personal growth
Great international exposure and team atmosphere



We are looking to hire in London but would consider an exceptional candidate in the rest of Europe.
Senior Data Scientist at Fast

Build the world's fastest Identity and Checkout products

Company Mission

Our mission is to make buying online faster, safer and easier for everyone. Fast Login and Fast Checkout enable a one-click sign-in and purchasing experience that makes it easier for people to buy and merchants to sell. The company’s products work on any browser, device or platform to deliver a consistent, stress-free purchasing experience. Fast is entirely consumer-focused and invests heavily in its users’ privacy and data security. Headquartered in San Francisco but open to a globally remote workforce,  we are a founders-led, privately held company funded by Stripe, Index Ventures, Susa Ventures and other world-class investors.

We are committed to diversity and inclusion, and demonstrate our values through equitable pay, fantastic benefits, and access to all reasonable accommodations. 


Summary
We’re looking for a Senior Data Scientist to join the best Data Science and Analytics team! As a Senior Data Scientist, you will partner closely with both technical and non-technical teams to design metrics, build models, conduct comprehensive analysis, and run experiments to measure the impact of new initiatives.


Role

Work with cross functional stakeholders to scope data science projects and drive the project from start to finish
Develop scalable, efficient automated pipelines to process massive datasets, identify patterns from various data sources and produce actionable insights
Build statistical models to improve our understanding of user behavior and predict future performance
Be a thought partner to business leaders in determining quantitative success and process improvements
Design, implement, and analyze A/B experiments to measure the impact of product changes
Create dashboards and reports with effective data visualizations



Requirements

5+ years of data science experience 
5+ years in SQL and one scripting language (Python/R)
BS in quantitative field (e.g. Statistics, Economics, CS, OR), or equivalent experience
Strong knowledge of experimentation and statistical methods
Skilled at leading DS projects and taking initiative
Skilled with data visualization tools (Looker, Tableau, Jupyter Notebook)
Knowledge of building data pipelines (e.g. dbt, airflow) 
Communicative with team members, thought partners, and others



Bonus

Advanced degree in a quantitative field
Experience in e-commerce
Previous mature startup experience




Benefits and Perks- Because People Matter

Comprehensive insurance (paid 99% by the company) with no deductible, and 10 dollar copays
Globally remote with flexible work schedules to fit your needs
Generous parental/family leave for all caregivers- available at any time within 12 months after the new family member joins you
401k with match up to 4%
Equity grant 
People-focused PTO that you determine- time off is there when you want it, when you need it
Frequent inclusive events scheduled to allow everyone to express their voice (or dance skills)
Monthly exercise and internet stipends---and snacks
Game Data Scientist at Mythical Games

We are Mythical Games. A venture-backed next-generation game technology company at the intersection of video games and economics led by industry veterans. Our goal is to lead the industry with the launch of exceptional video game experiences that leverage distributed ledger technology while also providing a platform of robust tools that will allow any other game developers to do the same.
We are looking for a highly-skilled  Game Data Scientist to dive into diverse data and derive insights using appropriate tooling for the job. In this role, you will work with multiple parts of the business to identify improvements and influence our product direction.  Actionable insights will need to be presented in a clear and supported way.
COVID-19 Hiring Update: We’ve transitioned to a work-from-home model and are continuing to interview and hire during this time. This role is expected to begin as a remote position. We understand each person’s circumstances may be unique and will work with you to explore possible interim options.
 
Duties and Responsibilities:

Influence Mythical’s game and NFT marketplace products through data-centric reports and presentations to appropriate stakeholders
Build predictive machine learning models to anticipate a customer’s future behaviors based on existing events
Create additional data models on top of our existing BigQuery data warehouse as needed
Gather requirements from internal/external customers to clear frame data analysis projects and their estimated impact
Build and improve data tooling in partnership with internal data teams

 
Requirements:

Bachelor’s Degree in a technical field
3+ years in a quantitative analytical role in technology or consulting companies
3+ years of experience with SQL and a programming language for data analysis (e.g., Python, R)
2+ years of experience building machine learning models for predictive use cases (e.g., Tensorflow, Scikit-learn, Kubeflow),
Excellent communication skills and a drive for continuous learning

 
Pluses:

Industry experience with video games, marketplaces, or digital marketing

 
Our team values diversity and believes that it strengthens our games, products, and communities. We strongly encourage POC, folks with disabilities, those belonging to the LGBTQIA+ communities, and folks across all gender identities to apply.
We offer our team benefits such as (but not limited to) high-quality Vision, Dental, and Health Care, generous Parental Leave, and Unlimited PTO to ensure that they actually take time off without the stress of needing to accrue time.
If you need assistance around accommodations due to a disability, please reach out to accessibility@mythical.games. We’ll be with you as soon as possible; our goal is to ensure an accessible and equitable interview process for everyone.
Senior Data Scientist at Reddit

"The front page of the internet,” Reddit brings over 500 million people each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities. 
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
The mission lies at the core of Reddit's success as a platform: we build features that encourage engagement and belonging, enabling smooth and effective community and content creation, enabling our content creators, and applying a growth framework to activate new communities equipping moderators with the tools they need to succeed. These teams drive several key product metrics for the entire Reddit platform.
This is a high-impact role where you will be involved in technical & product strategy, operations, architecture, and execution for one of the largest sites in the world.
What You’ll Do:

Work cross-functionally with product, design, and other engineering counterparts to execute on product and business strategy and build novel products and features that our users will love.
Contribute to the full development cycle: technical design, development, test, experimentation, analysis, and launch. You’ll be reviewing code and design docs, giving feedback on product specs and mocks.
Collaborate with a team of thoughtful, fast-moving, and motivated engineers. Contribute to standards that improve developer workflows, recommend best practices, and help mentor junior engineers on the team to grow their technical expertise.
Continuously learn and improve your technical and non-technical abilities.

Who You Might Be:

At least 3+ years of software development experience in one or more general-purpose programming languages; Go, Python, Rust, C++, Javascript, Typescript
Experienced with GraphQL, REST, HTTP, Thrift basics, and the ability to design and implement maintainable APIs is a plus.
Experienced with distributed caching layers, and distributed large-scale data storage systems like Cassandra or Redis
Strong organizational and communication skills, the ability to prioritize tasks and keep projects on schedule discussing complex topics with technical and non-technical audiences.
BS degree in Computer Science, a similar technical field of study or equivalent practical experience.
You are self-directed, innovative, and biased towards action in fast-paced environments. You love to build new things and thrive in ambiguity and even failure.
Leveling will depend on the right experience and duration in the space.
Senior Data Science Manager at One Concern

About One Concern

One Concern brings disaster science together with machine learning for better decision-making. We quantify resilience from catastrophic perils, empowering leaders to measure, mitigate, and transfer risk. We believe that by pioneering cutting-edge science, we can make disasters less disastrous and, ultimately, build planetary-scale resilience.

The Role 

One Concern is growing rapidly and we are looking for a passionate, mission-driven Data Science Manager to join our team. You'll lead a team of data scientists and partner with engineering teams to guide the development of event response features. 

Reporting into the Director of Data Science, you'll combine strategy, execution, management, and leadership to drive adoption and growth of our technology. We seek an innovative, strategic, high-empathy leader, who can steer the team towards expectations as we continue to mature and grow our solution offerings.


What You’ll Do

Guides the strategy and its execution of one or more teams across multiple projects or workstreams on a six to twelve month roadmap
Drives impactful outcomes in the face of significant organizational and technical ambiguity and change
Cultivate the development of your team and strategically partner with product, program and engineering 
Increasingly optimizing for the wider org and driving cross data science initiatives to impactful outcomes outside my normal area of scope
Drive business outcomes through expertise in data science as well as through strong relationships, management and cross functional influence
Guide the team to impactful results by setting strategy that is aligned with the org and business
Create an environment that empowers the teams to deliver at a high level of impact by building, organizing, and motivating well-balanced, diverse teams with a strong sense of belonging.



Qualifications & Experience

Graduate degree in an engineering or science related field, including Civil and Environmental Engineering, Data Science, and Statistics
3+ years of experience within catastrophe modeling, hazard modeling, risk management, analytics or in a similar field
2+ years experience in building and managing a team of data scientists




Nice to Haves

Interest to learn new topics and skills and to develop innovative products for our customers
Curiosity and willingness to experiment, fail fast, learn, and adapt
Ability to thrive in a fluid startup environment 
Mission-driven and team-focused 



Compensation will be competitive with the market for this position and will include equity consideration. 

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

About One Concern

One Concern brings disaster science together with machine learning for better decision-making. We quantify resilience from catastrophic perils, empowering leaders to measure, mitigate, and transfer risk. We believe that by pioneering cutting-edge science, we can make disasters less disastrous and, ultimately, build planetary-scale resilience.

The Role 

One Concern is growing rapidly and we are looking for a passionate, mission-driven Data Scientist, Hydrodynamics to join our team. 


What You’ll Do

Calibrate and validate flood prediction pipeline in deployment regions
Evaluate model predictions and quantify uncertainties between observed and predicted outcomes using statistical and GIS tools
Suggest, research and implement improvements of model calibration and validation process, including automation of calibration and validation process for scalable and speedy deployment
Collect, analyze and efficiently manage a wide variety of structured and unstructured data (such as river gauge, damage and loss data) used in the development and validation of catastrophe models
Provide support on ad-hoc analysis and reports



Qualifications & Experience

Graduate degree in an engineering or science related field, including Civil and Environmental Engineering, Data Science, and Statistics
2+ years of experience in the area of flood inundation modeling and flood forecasting/simulation
1+ year experience in quantitative analytics and/or statistics
Strong drive to learn new topics and skills and to develop innovative products for our customers
Experience with scientific computing in an interpreted language (e.g. Python) is a plus



Nice to Haves

Experience in storm surge modeling, wind modeling
Experience in calibrating and validating large scale flood pipeline, and flood risk modeling
Experience in Parallel programming in GPU and cloud computing
Understanding of MySQL, Postgres, relational databases etc.



Compensation will be competitive with market for this position and will include equity consideration. 

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

At HUMAN, we know who’s real. We are the global leader in bot mitigation. We protect more than 200 enterprises—including the largest internet platforms—from sophisticated bots by verifying the humanity of nearly one trillion online interactions every week. The most sophisticated bots look and act like humans when they click on ads, visit websites, fill out forms, take over accounts, and commit payment fraud. We stop them.
Founded in 2012 in a Brooklyn sci-fi bookstore, our Bot Mitigation Platform protects enterprises from the sophisticated bots that threaten them. It’s an ongoing war that we fight passionately every day. Join our mission to stop bots, disrupt the economics of cyber crime, and keep it human.
The Data Science team at HUMAN is at the heart of what we do - finding and stopping bots. We build the algorithms that run behind the scenes analysing and decisioning more than 10 trillion events per week. We deploy state-of-the-art statistical and machine learning models that need to work at massive scale while also being robust to common fraudster tactics of evasion and deception.
MediaGuard is our product for advertising platforms, allowing real-time insight for customers into which advertising opportunities are fraudulent bot-driven events.
Who you are

You’ve got solid experience (at least 2 years) of solving large-scale data science problems in ad-tech or a closely related domain (such as e-commerce or web analytics).
You know enough about how the internet/web works to give a convincing explanation of DNS / HTTP / JavaScript.
You are fluent with Python and SQL and familiar with related tools, libraries and platforms (e.g. Jupyter, Pandas, NumPy etc).
You have a strong sense of ownership which drives you to find ways to keep moving forward in the face of uncertainty.
You’ve mentored more junior data scientists and helped them grow.

What you'll do

Establish yourself as a technical leader at HUMAN. First by understanding our detection methodology and how data science fits in, then by using your experience to identify where we can improve and making that improvement happen.  
Evaluate and implement data analysis strategies to improve detection efficacy at internet-scale.
Influence detection strategy and aid our leadership in understanding the detection impact of new initiatives.
Collaborate with product, engineering and customer success to define and develop new data-intensive product features that will delight our customers.
Research for case studies with our partners on botnets, fraud and abuse in online advertising.
Contribute to toolkits and platforms that scale detection analytics.

Life at HUMAN
Our HQ office is located in the heart of New York City. We are growing the company deliberately with a keen eye towards maintaining a culture that values diversity, lifestyle, and career growth. We are doing meaningful work and our ambition means we need more people to help us. We have offices located in NYC, London, Washington DC, and Victoria (Canada).
Director Data Science at Zwift

Seniority Level: Director
Location: Long Beach, CA or US Remote (in select states)
About the role and about You:
Zwift is looking for an innovative, experienced and mindful manager to build and lead the data science team. The focus of this role is on proactively seeing opportunities to improve our products, services, marketing and customer experience, partnering with multi-functional teams from across the organization to develop and iterate on innovative solutions and products, and building the capabilities and platform to enable rapid deployment of these new capabilities. 
The company is at a pivotal moment in its development with exciting strategic plans, continuing rapid growth and offers the chance for a motivated and forward-thinking leader to have high impact and help shape the future of the business.
The ideal candidate will have a proven track record of applying sophisticated statistical and machine learning techniques to solving exciting business problems across a broad range of business functions. If you are a genius at balancing deep technical wizardry with the ability to deliver practical applications in a fast-paced environment, then this is the role for you. 
What you’ll do: 

Establish the vision and roadmap for the data science team, prioritize the most impactful analyses, and guide team members in solving ambiguous and complex problems
Translate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering and data science applications
Partner closely with Engineering, Product and Marketing leaders to develop innovative analytics solutions and products
Provide thought leadership and hands-on expertise in advanced analytics applications to business problems across the spectrum, including: data mining, forecasting, target setting, retention / churn prediction, LTV, segmentation, experimentation, marketing effectiveness, auto-categorization, personalization and recommendations
Partner with Data Engineering to build a platform for the development, testing, productization, deployment and monitoring of ML models
Hire and develop a growing team of data scientists

What you'll have:

Advanced Degree in Computer Science, Engineering, Econometrics, Math, Statistics, Information Sciences, or other quantitative fields
12+ years of experience in analytics or data science teams, with 5+ years of industry experience building data science driven solutions to solve business problems and managing data science teams
Proven experience with: machine learning, data mining, predictive modeling, statistics, experimental design, attribution, and econometric modeling
Fluent in SQL and Python or R
Expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication

Bonus points: 

Experience building and leading Experimentation best practices and capabilities across multiple platforms / products and customer touch points
Passion for cycling, running, triathlons and/or experienced Zwifter
Passion for video games