nathansutton/data-science-job-descriptions huggingface dataset:
Staff Data Scientist Social Networks at Humu

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

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

Qualifications:

Strong background in human behavior, statistics and data analysis 

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

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

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

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


What you’ll do:

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



What you’ll bring:

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



Why you'd want to join us:

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


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

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

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

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


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

We're Looking for Someone Who Has

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

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


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

 #LI-JY1
Data Scientist Machine Learning And Algorithms Risk Management at Binance

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

Description
The Experience Center is transforming Humana into a human-centered, tech-driven company. We are accomplishing this by developing experience-first healthcare software rapidly, flexibly and iteratively. We are a technology incubator for the company and are expanding our capabilities by integrating Data Engineering and Data Science into the balanced team model. The Data Scientist will work with software engineers, product designers, and product managers to identify, validate, and adopt new technologies, tools, and practices, and turn these into human-centered experiences.
The Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Data Scientist work assignments involve moderately complex to complex
Read more about this job
Lead Nlp Data Scientist at Humana

Description
Humana is seeking a Lead Data Scientist who has extensive experience with Natural Language Processing (NLP). The ideal candidate will have experience developing NLP models with transformer architecture and preferably have experience with Hugging Face. This is your opportunity to join our Fortune #40, Best Places to Work company and help us make a difference as we help our members achieve their best health!
Responsibilities
The Lead NLP Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Lead NLP Data Scientist works on problems of diverse scope and complexity ranging from moderate
Read more about this job
Lead Data Scientist Marketing at Humana

Description
Humana is a Fortune 60 market leader in integrated healthcare whose dream is to help people achieve lifelong well-being. As a company focused on the health and well-being of the people we serve, Humana starts from within, and is committed to providing progressive benefits that advance the employment experience and vitality of the associate community. Through offerings anchored in a whole-person view of human well-being, Humana embraces a focus on stimulating positive individual and population changes while nurturing a sense of security, enabling people to live life fully and be their most productive.
Against that backdrop Humana is building a best-in-class Consumer Marketing organization to drive profitable membership growth
Read more about this job
Data Scientist at Humana

Description
Humana’s Clinical Strategy and Analytics (CSA) Team is seeking a Data Scientist 2 (Remote).
Healthcare is rapidly changing, and our members are living longer, often with more chronic conditions. The Clinical Strategy & Analytics team identifies clinical saving opportunities and enables clinical solutions through an evidence-based approach using data science, clinical and business expertise, and rigorous study designs to improve health outcomes and lower costs for millions of senior lives. In this multi-disciplinary team, you’ll have the opportunity to work closely with decision-marking executives and clinicians to shape Humana’s enterprise clinical strategies and initiatives.
The Data Scientist 2 uses statistics, machine learning, business analysis, and technology to transform high
Read more about this job
Data Science Analytics Leader Member Product at Netflix

At Netflix, we are always on our way to bringing even more joy to members around the world. Within Product, we have a very high velocity in innovations in the core member experience and we never stop challenging ourselves and are constantly thinking about connecting with our members in new ways or even in new domains!
Member Product DSE is at the forefront of these innovations with a mission to relentlessly improve Netflix member interactions by surfacing insights, and identifying, incubating & enabling product innovations leveraging data, analytics, experimentation & modeling.
We are looking for a data science leader to join our group to lead a sub-team focusing on consumer algorithm innovations. You will support a team of talented data scientists, work closely with our engineering partners and product leaders, and co-drive algorithmic innovations that power our member product interactions.
What we are looking for:
You have a deep technical background in applied data science, spanning some or all of: Statistics, Experimentation, Machine Learning, Causal Methods, and Behavioral Analytics. You likely have a M.S. or Ph.D. in a quantitative field such as Mathematics, Computer Science, Statistics, Artificial Intelligence, Machine Learning, Physics, Operations Research, etc.You have experience and demonstrated success in leading and building high-caliber, data-focused teams with diverse technical strengths.You are impact-driven and demonstrated success influencing the business by establishing roadmaps and vision for new and existing areas. You are skilled at operating in a complex, cross-functional organization or company where collaboration and integration with other teams across multiple disciplines are essential to the success of your team.You have exceptional communication skills, especially when partnering with engineering & business stakeholders to drive impact and shape strategy. 
Netflix culture 
Netflix'sculture is an integral part of what makes us successful, and we approach diversity and inclusion seriously and thoughtfully. We are an equal opportunity employer and celebrate diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Data Scientist at Grow Therapy

Role Overview:
Since founding, Grow has been gathering rich data throughout its systems. We are looking for a scrappy and motivated data scientist to derive insights from this data that power high-impact decisions across a variety of functions (product, growth, billing, operations, and more). The company is growing rapidly and offers many opportunities to leverage data skills to make an impact. 
The ideal candidate is passionate about mental healthcare and is comfortable working in a fast-paced startup environment. You will define metrics and KPIs, build dashboards, conduct deep dives, build ETL pipelines and data models, and communicate your findings to stakeholders across the entire organization using the latest data tools (we use Snowflake, DBT, and Looker here). The ideal candidate is ruthlessly pragmatic and can identify the highest points of leverage to drive value for the organization. 
Requirements:

Mission-driven and passionate about improving accessibility to quality mental healthcare
3+ years of relevant work experience
You’re a SQL ninja, bonus points if you’re comfortable working in Python
Comfortable with statistics and basic modeling
Critical thinking skills and the ability to distill complexity into impactful insights
Excellent communication skills; comfort sharing insights with different audiences (non-technical users, C-suite, engineers, PMs, etc. )
Excited about being a decision-maker, driving recommendations, and working in a rapidly growing startup environment
Bonus: startup experience, master’s degree in a quantitative field

The salary range for this position is 137 - 154K per year.
Director Data Science at Dick S Sporting Goods

The Director of Data Science plays a leadership role in technology and is responsible for the creation of new data science capabilities for the business by envisioning and executing strategies that will drive direct business value.
This role requires detailed understanding of the role that Data Science can play in the retail business. You will work along-side business, product and engineering leaders to identify the application and deliver of advanced analytic data modeling systems and machine learning to all areas of the business.
The ideal candidate will have a passion for connecting delivery to business value, a strong pedigree in retail application of data science and a knack for illustrating the art of possible when it comes to innovative application of AI & ML.
Strategy & Vision:
Set the mission and vision for the organization and connecting it to overarching business and technology strategies and outcomes.
Partner with Product & Architecture to plan, create and deliver business value through relevant application of Data Science and Machine Learning across all DSG capabilities.
Form and manage strategic partnerships both internal and external to support the business.
Responsible for departmental planning, organizational design and budget.
Set organizational KPI and measures, driving visibility and accountability
Coaching, Support & Enablement:
Plan, assign and supervise the work of others.
Provide oversight, guidance and direction in the career growth of teammates.
Fields questions from other product teams or support teams
Communicate the company’s technology strategy to stakeholders including investors, executives, and team members.
Advocate, evangelize and implement modern data science and engineering practices.
Lead and Grow a team of Data Science Managers and Data Scientists.
Delivery & Execution:
Direct the growth and application of Data Science across all lines of business at DSG.
Foster collaboration between local and abroad development teams to drive consistency across all departments.
Partner with product and business partners to understand the needs of the company and illustrate the art of possible in application of Data Science & Advanced Analytics
Collaborate with the executive team to help translate business requirements into technical needs and actions.
Lead workstreams that require cross-functional squads that include data scientists, data engineers, analysts, and product managers
Learning:
Work across the business to understand and assess development opportunities that align with our vision and deliver value to our customers
Manage vendor relationships with domestic and international suppliers while also holding them accountable to product requirements and quality specifications
Keep abreast of new technologies for the purpose of recommending changes in existing programs or new programs warranted by such developments
Participate in the initial production phases of product/process design and all subsequent inquiries and problems
Junior Data Scientist at Recast

We're hiring a junior data scientist to help us build the future of media measurement.
What you'll do in your first 6 months:
Onboard new clients onto Recast's platform and work hand-in-hand with them to set priors, interpret their results, and plan experiments to validate the model.
Develop and manage data pipelines in R
Perform complex data analyses and present the results to clients to interpret the results of the Recast model
Things you probably have experience in:
Use of R for data cleaning and exploratory data analysis
Basic statistic and experimental methods
Presenting results of your analyses to both technical and non-technical audiences
2+ years of experience working as a data analyst
Bonus points:
Marketing data science and media performance measurement
Partnering directly with marketers to shape budgets and structure tests
Experience with Bayesian statistical modeling
Things that should excite you that might scare off other folks:
Working with a team of math-loving statistics nerds
Working directly with marketers on applying modeling result to marketing strategy
Exploring the output of a complex statistical model with over 30k parameters
Contributing directly to product direction and business strategy
Opportunity for ownership in a fast-growing company at the cutting-edge of a multi-billion dollar industry
As a junior data scientist you’ll get to work with some of the biggest brands in the world, helping them measure the effectiveness of hundreds of millions of dollars of marketing spend, forecast future performance, optimize budgets, and plan experiments.
Note: Recast is committed to building a diverse team so if you are from an under-represented background in tech (e.g., women, non-white, etc.) please apply even if you don’t necessarily check all of the boxes here.
While Recast is officially based in the US, we're a fully remote team (one founder lives in Brooklyn, the other in Mexico City).
If this sounds interesting to you, email us with a bit about yourself and any relevant linkedin / github links / resumes at jobs@getrecast.com.
Junior Data Scientist at Liberty Mutual

Note: This is a remote opportunity with compensation dependent on candidate’s geographic location, overall experience, and skill level. 
Advanced Analytics & Modeling
From automating claims processes to optimizing marketing tactics to designing effective chatbots, Advanced Analytics & Modeling (AA&M) develops predictive analytics tools and provides data-driven insights that inform strategic decision making. By leveraging AI, machine learning and other advanced analytics techniques, AA&M increases efficiency and drives profitability across Liberty Mutual. Join the creative problem solvers of our Insights & Solutions group who are harnessing the power of data, analytics and technology to innovate today and transform tomorrow.
The Junior Data Scientist gains experience in collaborating with business partners to develop predictive analytic solutions that enable data driven strategic decision making. This role utilizes data science techniques to manipulate large structured and unstructured data sets, identify patterns in raw data, and develop models to predict the likelihood of a future outcome and/or to optimize business solutions. This role is part of the Capacity & Forecasting team, which provides staffing guidance to the Global Retail Markets US Service and Claims organizations, including predicting the amount of incoming calls/claims in the future.
This level focuses on gaining industry knowledge, development of predictive analytics techniques, and obtaining experience in storytelling with data.
Responsibilities:
Applies data science techniques; gains confidence in skill application using analytics and data science techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions.
Identifies and tests hypotheses, ensuring statistical significance, as part of building predictive models for business application.
Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
Gains experience in enabling the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes.
Assists in customizing analytic solutions to specific client needs.
Responsible for smaller components of projects considered low to moderate complexity and may work on smaller components of complex projects.
Engages with the Data Science community.
Participates in cross functional working groups.
Job Specifications:
Reference:  2022-52465
Category: Analytics
Primary Location: Remote
Additional Locations: 
Schedule: Full-Time
Salary: USD-$99,000.00-–-$115,000.00-/-Year
Education Level: 
 Travel: As Needed
Senior Data Scientist at Samsara

About the role:
The Samsara AI team builds end-to-end machine learning and computer vision solutions for our customers as well as core ML infrastructure for Samsara. As a Senior Data Scientist you will be a science leader and key contributor in building core models and predictive techniques for use in building and understanding products. You will work closely with other scientists as well as full-stack, firmware, and platform teams to deliver core infrastructure, services, and optimizations.
This role can be office-based or fully remote in the US and Canada.

In this role, you will: 


Build and improve the accuracy of ML / CV models, including retraining and optimizing open-source models to solve Samsara-specific problems 
Work with petabyte-scale data from Samsara camera and sensor devices to develop new models
Lead org-wide initiatives on science, testing, and data-driven decision making
Research, adapt, and apply cutting edge techniques in CV and deep learning
Optimize models for inference on the backend and/or on edge devices
Partner with our hardware teams to design devices for optimal performance and cost
Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs.
Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Minimum requirements for the role:

BS or MS in Computer Science or other quantitative field (e.g., Applied Math, Statistics)
8+ years experience as a Data Scientist, Machine Learning Engineer, or similar role
Proficiency in data modeling as well as SQL, Python, R, or a similar scripting language
Ability to distill informal or ambiguous customer and business requirements into crisp problem definitions
Proven ability to communicate verbally and in writing to technical peers and leadership teams with various levels of technical knowledge
Experience coaching and mentoring more junior scientists

An ideal candidate also has:

PhD in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics)
Strong functional knowledge of common tools like Jupyter Notebooks, AWS (e.g., EMR, Redshift, S3, Sagemaker)
Record of successful mentoring and development of junior team members
Experience working with large datasets using distributed computing (e.g., Spark, Hive)
Sr Data Scientist at Drivewealth

The Data & Analytics team at DriveWealth creates data outputs and products for internal and external customers.  We are looking for a Sr. Data Scientist to work closely with the product team to create both ad-hoc analytics and reusable outputs (dashboards and python notebooks) to monitor product growth and ideate on product usage. The output is focused on answering existing product questions but may lead to data and analytics features in the customer facing data products.  In addition, this role will establish a centralized data science practice so will work closely with the larger Data & Analytics team to create a reproducible data science pipeline. 
 The ideal candidate thrives working closely with product managers while also being able to communicate very effectively with data engineers, analytics engineers and other internal stakeholders. The role will encompass working end-to-end on data products (from clarifying requirements to ideateing on the solution to building) with a central role of choosing the correct level of data science rigor to meet the objectives without being too sophisticated and time intensive. The candidate should be excited about coming into a team in the process of shaping the direction of data and analytics at DriveWealth; this means balancing competing priorities and laying the groundwork for data science to grow and help DriveWealth. 

Responsibilities include, but are not limited to:

Work with product managers to understand the products and determine the appropriate analytic and data science outputs to help grow DriveWealth
Lead the construction of reusable outputs for internal end users (python notebooks, dashboards, csv outputs depending on use case)
Help create the structure necessary to reproduce “one off” data science results that can scale with DriveWealth and the data science team
Work with analytics engineering to create growing set of data features and data engineering to create data science and ML pipeline as needed

Proactively create analytics and dive into research on relevant data science topics, including ideating on analytics and data science usage through DriveWealth, helping to increase ability to make informed data driven decisions


Work to establish an open and scalable data culture through documentation, constructive code reviews and clear explanations of priorities and pain points


Qualifications:

5+ years of experience solving data problems with business partners to produce automated deliverables (ideally leveraging Python Notebooks)
Fluent in SQL and Python
Experience working in Tableau, QuickSight or other similar BI tools
Strong analytics and statistics background ideally with knowledge of behavioral modeling such as cohort and survival analyses
BS in Economics, Computer Science or equivalent program

Bonus

Familiarity with Snowflake and Databricks
FinTech or stock market experience
Familiarity with github and AGILE development
Experience with DBT, Airflow or other orchestration and SQL code management tools

#LI-TD1
Senior Data Scientist Web Analytics And Experimentation at Atlassian

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
Does the challenge of scaling a fast-growing company by powering it with data and analytics excite you? Using your business instincts and creativity, you will support a market-leading product with nuanced analysis, relevant insights, and recommendations.
We're growing quickly, so you'll need to help define the processes for sustainable growth across the Economy organization. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, this is a great fit!
What you'll do
Use data to understand complex customer experiences on Atlassian's website (e.g. www.atlassian.com, support.atlassian.com and confluence.atlassian.com). Analyze how customers navigate our website and identify opportunities for improvement.Define success metrics and report on KPI for Atlassian's websites. Research and explain trends and their impact on the success of the business.Accelerate web experimentation through best practices, tooling and clear recommendations.Build instrumentation and web tracking in collaboration with partners and engineers to establish a solid data foundation for this space.Collaborate with engineers, marketers & senior leadership to bring data to the forefront of decisions.
Your background
5+ years of experience in analytics, data science, or other quantitative fieldsAdvanced proficiency in SQLExperience defining and auditing web instrumentation requirements and web analyticsExperience designing and analyzing different types of web experimentation (e.g. A/B testing quasi-experimentation, rollout)Experience collaborating with senior management and translating insights into actionsAbility for creating raw data and analysis into well-written contentProficiency with data visualization best practices and tools such as TableauFamiliarity partnering with Product Management, Engineering, Design, Finance, Customer Research and Data Engineering teamsAn agile development mentality, appreciating the benefit of constant iteration and improvement
Data Scientist Varying Levels at Windfall Data

At Windfall, we aim to democratize access to people data and insights. The company helps nonprofit and for-profit organizations to more effectively identify, understand, and engage affluent consumers with the industry’s most reliable and accurate dataset available. More than 800 organizations use Windfall Data to identify and engage their most promising constituents. As a company, we are growing quickly, and every member of our team has a tangible impact on the success of our business and our customers.

At Windfall, data is our product — and data science lies at the heart of everything we do. We are looking for experienced data scientists who are able to run machine learning models in production from day one, and who are driven to deeply understand and build upon our unique data assets.

We’re on a mission to change how organizations perceive and use people data. And we hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Make a difference every day; and (5) Act with integrity and trust.


Responsibilities:

Build production-quality, custom predictive models to enhance and expand our core product
Collaborate with team members and stakeholders to deliver findings to clients quickly & reliably
Investigate new data sources, perform statistical analyses, and document findings
Work with engineering and data vendors to improve the accuracy of our data sources 



Requirements:

Advanced degree in a quantitative discipline
3 – 8+ years of full-time data science experience, including applied techniques in modern data science and machine learning in production environments
Expert knowledge of Python & SQL
Collaborative, team-focused attitude with a strong desire to advance the product and learn new things
The ability to communicate technical ideas to a non-technical audience
Self-starter with experience turning ideas into actionable designs
Excellent written and verbal communication
Eligible to work within the United States



About Windfall
Windfall is a people intelligence and AI company that gives go-to-market teams actionable insights. By democratizing access to people data, organizations can intelligently prioritize go-to-market resources to drive greater business outcomes. Powered by best-in-class machine learning and propensity modeling, Windfall activates insights into workflows that engage the right people for each respective organization. More than 800 data-driven organizations use Windfall to power their business.


We comply with CCPA. For more information on how we comply, review our privacy notice.
Bayesian Data Scientist at Ledger Investing

About the Team:
Data scientists at Ledger are critical to the success of the company. Our team specializes in modeling the behavior of casualty insurance risk portfolios. We analyze and predict the performance of every insurance program that seeks capital through us, and our analyses are critical in determining on what terms, if any, our investors are willing to offer capital for each program. In short, our math forms the ground truth that serves as the basis of negotiations for transactions with tens of millions of dollars at stake.
About the Position:
Our data science practice is deeply Bayesian. We are invested in quantifying and disclosing every source of uncertainty in our modeling – our investors care about our level of confidence in our results as much as the top-line results themselves. The domain we work in is rife with small, noisy datasets, and Bayesian hierarchical modeling techniques are typically quite beneficial. Many of the problems we are most interested in have received relatively little attention in the academic literature, and we have a robust agenda of potential model enhancements that will improve the state of the art in the industry and improve our company's bottom line.
If these problems sound fun and interesting, we'd love to have you on our team.
About You:
Successful candidates will have all of the following attributes:

Extensive knowledge of statistics, machine learning, and data science
Demonstrated track record of applying and adapting Bayesian statistical methods to solve complex real-world problems.
Familiarity with hierarchical modeling, time-series/state-space methods, and/or distribution fitting.
Extensive experience with Python, R, Julia or other open-source languages with strong numerical computing ecosystems
Experience with Stan or another open-source tool for estimating Bayesian models via HMC; willingness to learn Stan.
Ability to work independently and communicate ideas effectively.

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

A track record of publications and/or presentations on Bayesian modeling topics.
MS or PhD in statistics or a related field 
Familiarity with version control, especially Git/GitHub.
Working knowledge of property & casualty insurance, particularly from an actuarial and/or underwriting perspective.
Actuarial Data Scientist at Ledger Investing

About the Team:
Data scientists at Ledger are critical to the success of the company. Our team specializes in modeling the behavior of casualty insurance risk portfolios. We analyze and predict the performance of every insurance program that seeks capital through us, and our analyses are critical in determining on what terms, if any, our investors are willing to offer capital for each program. In short, our math forms the ground truth that serves as the basis of negotiations for transactions with tens of millions of dollars at stake.
About the Position:
The questions we focus on have broad overlap with traditional topics within actuarial science: estimating loss development, forecasting portfolio performance, quantifying tail risk, and the like. Instead of using traditional actuarial methods, we rely instead on more modern statistical approaches, particularly from the fields of Bayesian statistics and machine learning. We are building a robust, scalable, and highly automated pipeline by which we can price ILS transactions at scale with minimal human intervention.
At the same time, we recognize the value in more traditional actuarial perspectives, as they are the fruit of decades of practical experience. We also still regularly deal with stakeholders who are immersed in a traditional perspective, and actuaries play a vital role in translating to and from the modern Bayesian approaches we use internally. The synthesis of actuarial domain knowledge with cutting-edge techniques is at the crux of what we do.
About You:
Successful candidates will have all of the following attributes:

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

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

 A track record of publications and/or presentations on actuarial modeling topics.
 Contributions to open-source data science or machine learning projects.
 An actuarial designation (ie., ACAS or FCAS).
MS or PhD in statistics or a related field preferred.
 Familiarity with Bayesian modeling using Stan.
 Familiarity with version control, especially Git/GitHub.
Data Scientist Search Recommendation at Faire

Job Description: Data Scientist - Search & Recommendation, Machine Learning
Faire is using machine learning to change wholesale and help local retailers compete with Amazon and big box stores. Our experienced data scientists and machine learning engineers are developing solutions related to discovery, ranking, search, recommendations, logistics, underwriting, and more - all with the goal of helping local retail thrive.
The Data Science team owns a wide variety of algorithms and models that power the marketplace. We care about building machine learning models that help our customers thrive. 
As a member of Search for the Data Science team you’ll be responsible for developing machine learning-powered search ranking models and adding personalization to our search and discovery. You’ll determine answers to questions like, how relevant is this product to this retailer and how can we infer that in real-time? Can we create real-time embeddings of users' interests and use them to power rankings? How can we improve purchase flow? What techniques can we use to enable our A/B tests to more quickly converge when dealing with low sample sizes?
Our team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, and Pinterest. Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there!
You’re excited about this role because…

You’ll be able to work on cutting-edge search query and understanding problems combining a wide variety of data about our retailers, brands and products
You want to use machine learning to help local retailers and independent brands succeed
You want to be a foundational team member of a fast growing company
You like to solve challenging problems related to a two-sided marketplace

Qualifications

1+ years of industry experience using machine learning to solve real-world problems
Experience with search/query processing for product development
Strong programming skills
An excitement and willingness to learn new tools and techniques
Experience with relational databases and SQL
The ability to contribute to team strategy and to lead model development without supervision
Strong communication skills and the ability to work with others in a closely collaborative team environment 

Great to Haves:

Highly recommended: Master’s or PhD in Computer Science, Statistics, or related STEM fields
Ability to quickly implement state of the art algorithms from an academic paper

Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Data Scientist at Credit Key

Credit Key’s mission is to deliver a superior business payment experience at B2B point-of-purchase. Our core product allows B2B merchants to offer buy-now-pay-later financing at ecommerce checkout.About the RoleCredit Key is seeking a Data Scientist Manager to join our rapidly expanding team. The Data Scientist Manager’s primary responsibilities are in credit and fraud risk management along with analytics for Product and Marketing teams. This is a ‘hands-on’ analytics role with the ability to drive significant results and key insights while leveraging our unique mix of credit, transaction, and payment data. The ideal candidate will be able to independently dig deep into the data to solve challenging and fast paced business problems while also helping to build a leading risk management infrastructure and strategy.What you'll do Develop, validate, and implement proprietary credit models using our unique data to drive the next phase of our risk strategy Create new strategies to identify and mitigate fraud risk across the credit lifecycle- from new applications, to real time transaction authorizations, to account management Propose, implement, and analyze testing to further enhance key features of our product including approvals, line assignment, pricing, and term lengths Work in a very cross-functional, fast paced environment with key stakeholders in Finance, Product, Marketing, and Operations. Partner directly with industry leading small business lending data providers to optimize use of existing and new data in our credit and fraud strategies Develop and execute credit and fraud risk tracking and credit bureau reporting. What we look for Bachelor’s Degree in STEM field. Master’s Degree preferred Prior experience with large complex time series datasets at a financial institution. Prior risk management and/or ML experience preferred Deep hands-on experience in data analysis (writing your own code) utilizing tools such as Python, R, SQL, Tableau, SAS, or equivalent Experience in financial modeling to determine business cost benefit results from A/B testing. A team player attitude with the ability to communicate clearly with both technical and non-technical stakeholders and handle ambiguity Why you want to work with us Unlimited Vacation. We hire adults and treat them as such. We are committed to an output-oriented, not butt-in-seat culture. Competitive Compensation Package Great Healthcare Benefits 401k Match 100% Remote. Flexible Work Schedule & Location. Work From Home / Internet / Cell Phone Stipend. Supportive. Highly collaborative team environment.