Data Scientist I Product

Description
About LegalZoom
We're here to make legal help accessible to all. LegalZoom transformed the legal industry with the launch of our online services and groundbreaking technology in 2001. Since then, millions of customers have counted on us to officially start and run businesses, protect brands and intellectual property, and look after loved ones through wills and trusts.
As the industry leader for over 20 years, innovation remains at the center of all we do. We're creative thinkers and problem solvers with a passion for building legal and tax products that make a positive impact on the world, and we're always looking for exceptional people to push us further.
With us, you'll do work that's as rewarding as it is challenging with a team where every voice matters and diversity, equality, and inclusion are truly embraced. Together, we'll continue to democratize the law and make a real difference in the lives of millions.
Remote-first
Since March 2020, our Zoomers have worked remotely and reported an overall better work-life balance with more time for family and personal wellness.
At the end of 2021, LegalZoom made the official commitment to being a remote-first company. Remote-first means that there is no expectation that Zoomers come into an office for a fixed number of days outside of those employees identified as essential onsite workers. While we remain a remote-first culture, our local offices have evolved as collaboration spaces for Zoomers to meet and engage in person.
Overview
The Data Science team at LegalZoom helps us make measurably better decisions faster. We work on everything from shaping product strategy to designing and running experiments that let us know how well our strategy performs.
As a Data Scientist on our Product Data Science team, you’ll tackle many of our business's existential questions. We work on questions around go-to-market & commercialization strategy, modeling customer lifetime value, and digging into the details of how our customers interact with our products.
You will
Be a key driver of product strategy by thinking beyond immediate analysis and understanding the long-term implications of actionsPerform descriptive and predictive analyses to form hypotheses about how we can grow the business through building better productsInfluence LegalZoom leadership to pursue our hypotheses so that we better serve customers and grow our business Design and run experiments to test our hypotheses, including defining metrics that enable us to understand product experienceInterpret experiment results and use them to drive strategic and tactical recommendations for how to improve our products Provide insights at scale through building pipelines and dashboards to provide a more complete view of our products Work closely with Product and Engineering partners to help them understand the data and form their own hypotheses so we can move faster Explore, automate, and leverage our data in analyses that will shape Legalzoom productsWork with fellow data scientists to continually improve our code and data best practices, prioritizing long-term data hygiene
You have
Basic qualifications: M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields (If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 2+ years of industry experience as a Data Scientist or equivalent)Advanced SQL expertiseUnderstanding of experimental design (e.g. A/B experiments) and statistical methods (e.g. Bayesian inference)Ability and experience in extracting insights from data, and summarizing learnings / takeawaysProduct data science or consulting experienceAdvanced experimentation experience including multivariate and causal analysisExperience working on web analytics (behavioral analytics)Detailed knowledge of data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environmentsSolid understanding of source data, its strengths, weaknesses, semantics, and formats; solid knowledge of logical and physical data modeling concepts (relational and dimensional)Someone who is willing to contribute new ideas and articulate them to a variety of business partners and not just execute on existing ones
For onsite roles or roles that require periodic onsite visits, LegalZoom requires all employees to be fully vaccinated for COVID-19 before starting work, unless precluded from doing so by applicable law. The CDC currently defines “fully vaccinated” as two weeks after the second dose for Pfizer and Moderna, and two weeks after the single dose of Johnson & Johnson. LegalZoom will require proof of vaccination before a successful applicant’s first day of work, and will consider requests for exemption from this requirement during the offer phase (1) as a reasonable accommodation for medical reasons or sincerely held religious beliefs where the accommodation would not LegalZoom undue hardship or pose a direct threat to the health and safety of others, or (2) for other reasons under applicable law.
Join us in making a difference as we build our future and help ensure access to professional legal advice to all! LegalZoom is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment.  LegalZoom prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
#LI-REMOTE


Data Scientist

Data Science is at the core of Nielsen’s business. Our team of researchers come from diverse disciplines and they drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world. We support all International Media clients and are located where our clients are.

Data Scientist  (Remote) (Canada)

Job Summary
Want to join a team where your talent, ideas and creativity would matter? Do you value autonomy, crave new knowledge, and appreciate working on impactful solutions? Then this position may be for you! We seek passionate, creative and innovative Data Scientist to join our team and help build leading edge technologies. With a balance of research, development, and cutting-edge technology, daily routine will never show its boring face.

Qualifications and Skills

Relevant degree in Computer Science, Machine learning, Physics, Mathematics.
At least 2 years of experience developing and implementing data science solutions.
Hands on experience working on machine learning and data analysis/mining.
A strong understanding of the principles of Statistics.
Good understanding of ML concepts, theories and algorithms.
Experience with using various statistics/ML libraries, e.g.  Scipy, Statsmodel, SciKit, Tensorflow, or similar.
Knowledge of Python and familiarity with Java are assets.
Hands-on experience with Jupyter Notebooks.
Database experience and knowledge of SQL.
Experience with analyzing large volumes of data is an asset.
Authorized to legally work in Canada

Nice to haves

Familiarity with distributed systems is a plus.
Familiarity with Spark or other Big Data technologies.
Familiarity with AWS, GCP, Node JS, and Python are assets.
Eager to learn and willing to take initiatives

#LI-GR1


Data Science Manager

You’ll be a successful Data Science Manager on our Data Science Team if:

You want to help improve the financial health of the 100 million working-class Americans who live paycheck-to-paycheck
You make your team better on a daily basis because you can be clear about goals, the team’s shared purpose, and need to execute through education, organization, and trust
You can grow members of your team because you can help them identify their strengths and weaknesses, put them in a position to succeed, and get them the training and opportunities they need.
You have a deep understanding of the field of data science and can develop and communicate a vision to your team on how the field can be applied to solve difficult practical problems
You’ve created, deployed, and managed experiments and models in production systems and can genuinely speak to practitioners about the fundamental principles and challenges required to be successful in that work
You are more motivated by practical solutions than theoretical elegance
You can communicate, collaborate, compromise, and be sensitive to the needs of your partners and teammates

We are offering:

A low-ego, respectful, data science team committed to solving practical problems together
The chance to work at a company where data science is at the heart of the business and integral to both our day-to-day operation and our executive team’s strategic vision
Flexible work hours and flexible work location (even after the pandemic)
A generous parental leave policy
Excellent opportunities for career growth, with both management and technical tracks for advancement
A team that values learning and approaches work with a “growth mindset”
A competitive salary, equity, and a full benefits package (health, dental, vision, 401k)

You might be particularly excited about the role if you want:

To work on fairness, accountability, and transparency in machine learning (FAccT ML) or explainable AI (XAI)
To find practical ways to apply modern innovations from diverse research areas like Causal Inference, Cost-Sensitive Machine Learning, and Time Series Classification

If you’re excited about the role and aren’t sure if you meet all the requirements - we want you to apply anyway! We believe people can contribute to our team in a wide variety of ways and want to meet people who find meaning in our mission and our technical work compelling.


Senior Data Scientist

Position Description
Eleanor Health is looking for an experienced Data Scientist to join our growing organization. In this role, you will work with stakeholders across the organization to help develop the foundation for predictive modeling and machine learning intelligence at Eleanor Health. As a data scientist you will build innovative, scalable solutions that address key business, operational, clinical, and product use cases. You will report directly to our Head of Data and Analytics as a core member of the data team.
Responsibilities.

Function as a thought partner for business stakeholders to determine impactful applications of statistical analysis and machine learning
Wrangle and analyze large structured and unstructured datasets in a highly repeatable fashion
Iterate with internal and external partners to tailor models and tools to address needs and requirements across the organization
Drive a data-informed process for experimenting with new products to improve patient outcomes and operational efficiency.
Develop general-purpose frameworks to support machine learning applications in production

Qualifications

Advanced degree in a technical field (i.e. Computer Science, Engineering, Statistics, Economics), or bachelor's degree in a similar quantitative field with 5+ years of industry experience
Strong communication and presentation skills required, particularly regarding the communication of data and insights
Strong analytical and problem-solving skills with a critical approach to data and are mindful of the responsibilities that come with technologies that drive scale
Ability to work on projects from initial to final phase- beginning by defining a problem, developing an implementation plan, and overseeing deployment and maintenance
Excellent command of data science libraries in Python
Experience using SQL-based data warehouses required, bonus if experience using Google Cloud Platform tooling such as BigQuery, as well as proficiency with data programming languages such as R or python and their relevant statistical packages
Experience working with claims data is not required but a plus

About Eleanor Health
Eleanor Health is the first outpatient addiction and mental health provider delivering convenient and comprehensive care through a value-based payment structure. Committed to health and wellbeing without judgment, Eleanor Health is focused on delivering whole-person, comprehensive care to transform the quality, delivery, and accessibility of care for people affected by addiction.
To date, Eleanor Health operates multiple clinics and a fully virtual model statewide across Louisiana, Massachusetts, New Jersey, North Carolina, Ohio, Texas, and Washington, delivering care through population and value-based partnerships with national and regional payors, employers, and other stakeholders.
If you are passionate about providing high quality, evidence based care for individuals with substance use disorder through an innovative practice, and about building a great business that makes a difference, Eleanor Health is an ideal opportunity for you. We seek highly skilled, motivated and compassionate individuals who take responsibility and adapt quickly to change to join our deeply committed and collaborative team.
Job Type: Full-time


Data Science Manager

Code for America builds technology to make government services work for those who need them most. The Data Science Team supports Code for America’s work in improving access to safety net services, automating record clearance, and making it easier for lower income households to claim tax benefits. As a Manager on the Data Science team, you’ll coach and support team members in doing research and building tools that help us spot opportunities for impact, design and evaluate interventions, and that make data and insights available to the rest of CfA staff.
Most of the team’s work is about understanding what problems exist in government services, how big those problems are, and how we can address them. We do a lot of descriptive data analysis using case, survey, and event data to identify and size problems. We collaborate with qualitative researchers and designers to identify potential improvements that help more people get through each step in the process. Finally, we love running experiments to evaluate those potential improvements, whether small a/b tests in Optimizely, more extensive changes in website flows and logic, or variations in text and email messages to help people get or keep benefits.
We’re committed to sharing what we learn from our research so that government agencies and others in the civic tech ecosystem can benefit from what we’ve learned. We document research thoroughly and have a knowledge manager on staff to help us synthesize findings and reflect on what we’ve learned and what questions we ought to pursue next. We disseminate findings through our blog, white papers, and in journals when we’re collaborating with academic partners.
The team has nearly a dozen members and range from social science, human computer interaction, statistics, and public policy. Team members regularly support each other on analyses, interpreting results, storytelling, etc. We lean heavily toward quantitative research with only occasional use of ML. We’re growing and have flexibility with how we allocate staff to managers: depending on how much experience you have with government work, you may want to initially split your time as a manager and an individual contributor.
We’re looking for someone who is:

Excited to invest in and help develop people. You enjoy coaching, whether that’s giving feedback on a write-up, pairing on analyses, or talking through how to answer a question.
An excellent listener. You get to know people’s strengths, preferences, goals, and what challenges they’re facing day to day in their work. You elevate what you are hearing and think resourcefully about how to support your team.
A clear communicator, both in writing and speaking. If needed, you can help team members improve their ability to communicate findings to different audiences.
A thought partner: Enjoys getting to better ideas through discussion, is able to think clearly and systematically and is able to convey that thinking.
Pragmatic: you encourage resourcefulness, “good enough” for the goals and task at hand, and staying focused on real-world impact.
A thoughtful empiricist: you make decisions with data and advocate for decisions to be made with data, but you think hard about limitations of the data and can educate others on how to spot those limitations.

Requirements:

10+ years of experience, with some experience as a manager
Depth in one of: social science, policy, statistics, machine learning
Expert fluency with Python or R
Extensive experience with data wrangling and data management
Solid understanding of a wide range of statistical concepts and methods

Extra Credit:

Personal experience with the justice system, social safety net, workforce training, or other mission-relevant government services.
Work experience in or with government agencies

This role is remote, is a full-time opportunity, and will report to a Data Science Director. Salary ranges from $134k - $158k, depending on location.
Benefits
Code for America offers full health and dental benefits, a 401k plan with matching funds and a culture that is collaborative, hardworking and fun.
About Code for America
Code for America is a startup non-profit with a great culture and a huge opportunity to make a difference. We work in cross-functional teams, collaboratively and agilely and value high-quality, user-friendly work product. We strive to learn from everything we do and regularly host talks from leaders in the civic technology movement. We respect each other, work hard, and have a great time together.  We’re looking for individuals who share our vision, our values, and our willingness to do what it takes to achieve an ambitious mission over the next few years.
Equal Employment Opportunity
Code for America values a diverse workplace and strongly encourages women, people of color, LGBT individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. Code for America is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition or any protected category prohibited by local, state or federal laws.


Principal Research Scientist

System1 is looking for an experienced machine learning researcher and practitioner to join our data science and machine learning team as a Principal Research Scientist.  This is a senior individual contributor role focused on driving research and development of new cutting-edge machine learning and artificial intelligence algorithms that power automation and optimization capabilities for one of the biggest real-time acquisition marketing platforms in the world - reaching 100s of millions of users every month.

The ideal candidate will have extensive experience designing and building algorithms to automate and optimize planning and decisioning for extremely complex dynamic systems with imperfect information.  You should keep up with the latest academic research and developments in reinforcement learning (e.g. MuZero, AlphaStar, Player of Games/growing-tree counterfactual regret minimization, etc) and intuitively understand how these algorithms can be applied to automate and optimize execution of large-scale advertising campaigns to balance both performance and portfolio risk.

With billions of data points ingested daily and the ability to impact and automate millions of critical decisions that drive the core of our business, this is a unique opportunity to build new advanced ML and AI capabilities at a company that still innovates at the pace of a startup but has the data and scale of a successful billion dollar company!

What You Can Expect on the Team

Provide both hands-on/individual contributor support and technical thought leadership in the development of an automated and intelligent advertising system by advancing the state-of-the-art in machine/reinforcement learning techniques to support large-scale optimization of media/channel mix, ad selection, bidding and overall campaign performance, etc
Deploy and test promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved ML driven products and capabilities
Keep abreast of relevant research in online ad auction design, computational advertising, and computational economics
Maintain expert knowledge in computer science, machine (and deep) learning, data mining, reinforcement learning, large-scale robust optimization techniques and more
Work with cross-functional teams of engineers, scientists, and analysts, to devise implementation and experimentation strategies
Actively contribute to the wider internal and external data science and machine learning communities by sharing and publishing research and findings
Utilize broad and deep knowledge of machine learning to contribute to the development of System1’s roadmap for core machine learning capabilities
Coach and mentor data scientists to elevate the talent bar across System1

What You Will Bring

Degree in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent work experience
Demonstrated experience researching & developing algorithms for intelligent automation and optimization systems
Strong machine learning and algorithmic background with a deep understanding of advanced reinforcement learning and deep learning techniques
Hands-on experience using high performance machine learning libraries and/or deep learning frameworks (e.g. PyTorch, Tensorflow, RAPIDs, etc)
Hands-on experience building ML driven products
Experience leading technical research and production grade development efforts
Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia)
Strong functional programming development skills (preferred)
Ability to effectively communicate technical information to a wide spectrum of cross-functional team members
Experience mentoring and coaching junior team members

What We Have to Offer

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


Principal Machine Learning Scientist Search Recommendations

System1 is looking for an experienced machine learning researcher and practitioner to join our data science and machine learning team as a Principal Machine Learning Scientist supporting the Search & Recommendations team.  This is a senior individual contributor role focused on driving research and development of new cutting-edge machine learning and artificial intelligence capabilities that power dynamic content decisioning for one of the biggest real-time acquisition marketing platforms in the world - reaching 100s of millions of users every month.

The ideal candidate will have experience leading efforts researching, developing, and deploying cutting-edge machine learning search, recommendations, and advanced personalization algorithms into production systems. You should keep up with the latest academic research and developments. You should have strong engineering skills and experience with integrating machine learning and engineering in a dynamic production environment.

With billions of data points ingested daily and the ability to impact and automate millions of critical decisions that drive the core of our business, this is a unique opportunity to build new advanced ML and AI capabilities at a company that still innovates at the pace of a startup but has the data and scale of a successful billion dollar company!

The Role You Will Have

Provide both hands-on/individual contributor support and technical thought leadership in the development of highly scalable algorithms based on state-of-the-art machine learning models to build products delivering new recommendations, search, personalization, and dynamic content decisioning capabilities
Leverage knowledge of software engineering principles to guide development and deployment of production machine learning solutions that can scale to millions of requests per second with millisecond latency
Maintain expert knowledge in the latest in machine learning with an emphasis on emerging techniques in natural language understanding, semantic search, image recommendations, and optimal ranking
Actively contribute to the wider internal and external data science and machine learning communities by sharing and publishing research and findings
Work with cross-functional teams of engineers, scientists, and analysts, to devise implementation and experimentation strategies
Utilize broad and deep knowledge of machine learning to contribute to the development of System1’s roadmap for core machine learning capabilities
Coach and mentor data scientists to elevate the talent bar across System1

What You Will Bring

Bachelor's degree (Master's or Ph.D preferred) in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent work experience
5+ years of experience researching & developing algorithms for search and/or dynamic content recommendations
Strong machine learning and algorithmic background with a deep understanding of advanced language models, recommendations and search systems, and advanced deep learning techniques
Hands-on experience using high performance machine learning libraries and/or deep learning frameworks (e.g. PyTorch, Tensorflow, RAPIDs, etc)
Hands-on experience building ML driven products
Experience leading technical research and production grade development efforts/teams
Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia)
Strong software design and implementation skills with a general-purpose programming language (e.g. Rust, Scala, C++/C#, Java, Haskell, etc)
Experience building scalable distributed products to implement batch, real-time, and streaming machine learning products
Strong functional programming development skills (preferred)
Ability to effectively communicate technical information to a wide spectrum of cross-functional team members
Experience mentoring and coaching junior team members

What We Have to Offer

Competitive salary + bonus + equity
Generous PTO + 11 Company Holidays
Untracked sick time
100% covered Medical, Dental, Vision for employees
401k w/match
Paid professional development
Leadership & growth opportunities
Virtual company and team building events
#BI-Remote
#LI-Remote


Senior Machine Learning Scientist Search Recommendations

System1 is looking for an experienced machine learning practitioner to join our data science and machine learning team as a Senior Machine Learning Scientist supporting the Search & Recommendations team.  This is an individual contributor role focused on driving research and development of new cutting-edge machine learning and artificial intelligence capabilities that power dynamic content decisioning for one of the biggest real-time acquisition marketing platforms in the world - reaching 100s of millions of users every month.

The ideal candidate will have experience researching, developing, and deploying cutting-edge machine learning search, recommendations, and advanced personalization algorithms into production systems. You should keep up with the latest academic research and developments. You should have strong engineering skills and experience with integrating machine learning and engineering in a dynamic production environment.

With billions of data points ingested daily and the ability to impact and automate millions of critical decisions that drive the core of our business, this is a unique opportunity to build new advanced ML and AI capabilities at a company that still innovates at the pace of a startup but has the data and scale of a successful billion dollar company!

The Role You Will Have

Hands-on development of highly scalable algorithms based on state-of-the-art machine learning models to build products delivering new recommendations, search, personalization, and dynamic content decisioning capabilities
Leverage knowledge of software engineering principles to guide development and deployment of production machine learning solutions that can scale to millions of requests per second with millisecond latency
Research the latest in machine learning for emerging techniques in natural language understanding, semantic search, image recommendations, and optimal ranking
Actively contribute to the wider internal and external data science and machine learning communities by sharing and publishing research and findings
Work with cross-functional teams of engineers, scientists, and analysts, to devise implementation and experimentation strategies
Contribute to the development of System1’s roadmap for core machine learning capabilities

What You Will Bring

Bachelor's degree (Master's or Ph.D preferred) in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent work experience
2+ years of experience researching & developing algorithms for search and/or dynamic content recommendations
Strong machine learning and algorithmic background with a deep understanding of advanced language models, recommendations and search systems, and advanced deep learning techniques
Hands-on experience using high performance machine learning libraries and/or deep learning frameworks (e.g. PyTorch, Tensorflow, RAPIDs, etc)
Hands-on experience building ML driven products
Experience leading technical research and production grade development efforts/teams
Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia)
Strong software design and implementation skills with a general-purpose programming language (e.g. Rust, Scala, C++/C#, Java, Haskell, etc)
Experience building scalable distributed products to implement batch, real-time, and streaming machine learning products
Strong functional programming development skills (preferred)
Ability to effectively communicate technical information to a wide spectrum of cross-functional team members

What We Have to Offer

Competitive salary + bonus + equity
Generous PTO + 11 Company Holidays
Untracked sick time
100% covered Medical, Dental, Vision for employees
401k w/match
Paid professional development
Leadership & growth opportunities
Virtual company and team building events
#BI-Remote
#LI-Remote


Senior Machine Learning Scientist Ai Automation Optimization

System1 is looking for an experienced machine learning practitioner to join our data science and machine learning team as a Senior Machine Learning Scientist supporting the AI Automation & Optimization team.  This is an individual contributor role focused on driving research and development of new cutting-edge machine learning and artificial intelligence algorithms that power automation and optimization capabilities for one of the biggest real-time acquisition marketing platforms in the world - reaching 100s of millions of users every month.

The ideal candidate will have experience designing and building algorithms to automate and optimize planning and decisioning for complex dynamic systems with imperfect information.  You should keep up with the latest academic research and developments in reinforcement learning (e.g. MuZero, AlphaStar, growing-tree counterfactual regret minimization, etc) and stochastic black box optimization and understand how these algorithms can be applied to automate and optimize execution of large-scale advertising campaigns to balance both performance and portfolio risk.

With billions of data points ingested daily and the ability to impact and automate millions of critical decisions that drive the core of our business, this is a unique opportunity to build new advanced ML and AI capabilities at a company that still innovates at the pace of a startup but has the data and scale of a successful billion dollar company!

The Role You Will Have

Hands-on development of an automated and intelligent advertising system by advancing the state-of-the-art in machine/reinforcement learning techniques to support large-scale optimization of media/channel mix, ad selection, bidding and overall campaign performance, etc
Deploy and test promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved ML driven products and capabilities
Keep abreast of relevant research in online ad auction design, computational advertising, and computational economics
Build expert knowledge in computer science, machine learning, data mining, reinforcement learning, large-scale robust optimization techniques and more
Work with cross-functional teams of engineers, scientists, and analysts, to devise implementation and experimentation strategies
Actively contribute to the wider internal and external data science and machine learning communities by sharing and publishing research and findings
Contribute to the development of System1’s roadmap for core machine learning capabilities

What You Will Bring

Bachelor's degree (Master's or Ph.D preferred) in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent work experience
2+ years of experience researching & developing algorithms for intelligent automation and optimization systems
Strong machine learning and algorithmic background with a deep understanding of advanced reinforcement learning and deep learning techniques
Hands-on experience using high performance machine learning libraries and/or deep learning frameworks (e.g. PyTorch, Tensorflow, RAPIDs, etc)
Hands-on experience building ML driven products
Experience leading technical research and production grade development efforts
Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia)
Strong functional programming development skills (preferred)
Ability to effectively communicate technical information to a wide spectrum of cross-functional team members
Experience mentoring and coaching junior team members

What We Have to Offer

Competitive salary + bonus + equity
Generous PTO + 11 Company Holidays
Untracked sick time
100% covered Medical, Dental, Vision for employees
401k w/match
Paid professional development
Leadership & growth opportunities
Virtual company and team building events
#BI-Remote
#LI-Remote


Lead Staff Data Scientist

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 (i.e Lead) 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.
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
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.
At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.
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


Analyst Speech Science

Job Summary:
Responsible for the performance of the overall quality speech analytics category design. Works cross-functionally with various groups internally and externally. Collaborates and synthesizes analyses for the implementation of scorecards. Responsible for extrapolating data, developing queries, ensuring standardization of external files, leading projects that relate directly to the speech analytic platform, and make recommendations for the betterment of the company. Works hand-in-hand with other analysts and specialists within the team to build and invent an outstanding product with a prime focus on accuracy, understandability and performance of the product.
Job Responsibilities:
Implement statistical language models, computational frameworks to process massive volumes of data, and engineer prototypes in a programming language (examples: Python, Java, R).Analytical and knowledgeable, recognize pertinent language patterns and conversational content that lead to business valueAnalyze recorded audio and audio-based data sets for critical insights.Captures combinations of keywords phrases within the system for optimal configurations performanceNatural Language Processing: Develop and/or apply statistical modeling techniques, optimization methods, and other ML techniques to different applications.Participate in design, development, evaluation, deployment and updating of data-driven models and analytical solutions for natural language applications.Responsible for determining opportunities through analysis of current or future trends and provide ongoing speech category designDetermine what call events (keywords and phrases) to train the software to recognize as structured data to support analytics and business goals, by using an inquisitive and intuitive approachWeekly/monthly reporting to management and business unitsFamiliarity with Voice User Interface (VUI) documentsUse a variety of testing methods to measure the impact of ongoing campaigns and new initiatives.Build positive relationships, cultivate decisions and communicate findings to executives and partners.


Staff Data Scientist

100% Remote - Hiring in the US  and Canada only
At Urbint, our mission is to make communities more resilient. We do this by pairing external data with artificial intelligence to identify areas of high risk and prevent catastrophic loss for utilities and infrastructure operators across the country. We are a team of close-knit engineers, entrepreneurs, and data geeks who obsess over problem-solving, new technologies, and making a positive impact in our communities
We encourage people from underrepresented groups to apply.
At Urbint, the machine learning team does not work on making consumers spend more or work on maximizing clicks. That is all fine; we work on reducing carbon emissions, reducing infrastructure risk and avoiding fatalities.  We find meaning and excitement solving these problems, and we hope you do, too.
We are looking for a Staff Data Scientist to join our high visibility, high impact Machine Learning team to help with this mission.  Members of the Machine Learning team have the option to major/minor in areas from a large data science specialization spectrum: Technical Product Management, People Management, Data Story-Telling,  Applied ML, ML Research, AutoML  and MLOps. This is a great role for someone who enjoys variety and is also looking to expand their skill set in a structured fashion.
What You'll Do
You will major in ML Research, autoML and have the option to minor in any of the areas listed above.
You will leverage or adapt existing research and derive new algorithms to solve atypical problems (use cases).
You will provide technical leadership to the ML team.

provide technical guidance for the team to formulate the research problem, design the experiment and narrow down the solution space.
be the go-to person for in-depth questions on the underlying math behind different techniques and their applicability for a given problem.
develop a roadmap on which technologies the team should invest in.

Overall you will be responsible for developing state of the art solution frameworks for difficult to solve use cases.
Who You Are
Minimum 6 years of experience as a Data Scientist.

Note: If you have a background in Data Analytics, Data Engineering, or a Machine Learning Operationalization, we'd still love to hear from you and invite you to apply for roles more relevant to your background here: Urbint Careers Page

Strong technical breadth and strong technical depth in at least two areas of machine learning (eg. Time Series, NLP, DL, Classical ML etc.).
Experience solving concrete, real-world machine learning problems in a commercial setting.
Passionate about delivering commercial/customer value through ML.
Well-versed in Python.
Nice to Have
PHD in a quantitative field preferred.
Comfortable writing production ready code and Strong software design engineering experience.
Experience with Startup, Product and/or Agile environments.
Track record of creating excellent slack emojis and memes.
Benefits
Mission Driven - Some companies use AI to serve better digital ads and trade stocks, we seek to make our communities safer and more resilient
We are 100% Distributed - work from almost anywhere
Competitive compensation packages
Your health and wellness matters to us, so we offer 100% employer-paid premium options and more…
Physical Health: Monthly wellness reimbursement to assist with gym memberships and other related activities
Home Office Reimbursement: Monthly allowance covering utilities (electric, internet) and related home office expenses
Co-Working: Monthly allowance covering expenses for co-working space
Professional Development: Generous annual allowance, supporting your growth
Employee Meals: Weekly lunch allowance
--
Urbint's Core Values
Passionate about customers: We strive to deliver sustainable value and exceed expectations, and we’re not satisfied until our customers are raving fans.
Be decisive: We make timely, informed, and pragmatic decisions to keep the organization moving forward.
Build trust: Our values are the building blocks to trust. As we live them, we grow and build lasting relationships.
Focus on impact: We measure and strive to continuously improve our real-world impact.
Be tenacious: We are agile in our approach to addressing challenges but firm in our beliefs.
Win together: We efficiently leverage our diverse skills and perspectives for one another, united by our shared vision.
We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status


Senior Data Scientist Applied Auto Ml

100% Remote - Hiring in the US  and Canada only
At Urbint, our mission is to make communities more resilient. We do this by pairing external data with artificial intelligence to identify areas of high risk and prevent catastrophic loss for utilities and infrastructure operators across the country. We are a team of close-knit engineers, entrepreneurs, and data geeks who obsess over problem-solving, new technologies, and making a positive impact in our communities.
We encourage people from underrepresented groups to apply.
Job Summary
At Urbint, the machine learning team does not work on making consumers spend more or on maximizing clicks. That is all fine; we work on reducing carbon emissions, reducing infrastructure risk and avoiding fatalities.  We find meaning and excitement solving these problems, and we hope you do, too.
We are looking for a Senior Data Scientist to join our high visibility, high impact Machine Learning team to help with this mission. The ML team collaborates with a diverse, broader-mission team to deliver value for our customers.  Members of the Machine Learning team have the option to major/minor in areas from a large data science specialization spectrum: Technical Product Management, People Management, Data Story-Telling,  Applied ML, ML Research, AutoML (Algo/Performance)  and MLOps (DE, SRE). This is a great role for someone who enjoys variety and is also looking to expand their skill set in a structured fashion.
What You’ll Do
You will major in Applied ML (customer-facing) and minor in AutoML, focused on delivering value to customers.
You will translate business problems into data science problems, and develop solution frameworks (for repeatability/scaling) with focus on speed to value.
You will own key portions of OKRs that help maximize team productivity.
You will have strong communication and organizational skills.

You will convey complex ideas & trade-off decisions to business stakeholders.
You will provide guidance to your team on task level prioritization and cross team coordination.
You may support other teams during ideation with customers.

Overall, you will be responsible for building ML products that deliver measurable business value for customers.
Who You Are
3+ years of experience in data science/machine learning roles.
Experience solving concrete, real-world machine learning problems.
Well-versed in Python or R (and willing to continue to learn the Python ecosystem).
Comfortable writing production-ready code.
Demonstrated problem-solving skills and experience maximizing team productivity.
Experience leveraging AutoML technologies.
Up to date with what’s under the hood of some of the advanced ML tools available.
Nice to Have
Experience with startup or Agile environments.
Experience building AutoML tools.
Track record of creating excellent slack emojis and memes.
Benefits
Mission Driven - Some companies use AI to serve better digital ads and trade stocks, we seek to make our communities safer and more resilient
Top Compensation - Competitive compensation package
We are 100% Distributed - work from almost anywhere
Distributed work monthly stipend
Office Space Stipend for co-working space expenses
Wellness reimbursement
Educational Allowance
Weekly lunch stipend
--
Urbint's Core Values
Passionate about customers: We strive to deliver sustainable value and exceed expectations, and we’re not satisfied until our customers are raving fans.
Be decisive: We make timely, informed, and pragmatic decisions to keep the organization moving forward.
Build trust: Our values are the building blocks to trust. As we live them, we grow and build lasting relationships.
Focus on impact: We measure and strive to continuously improve our real-world impact.
Be tenacious: We are agile in our approach to addressing challenges but firm in our beliefs.
Win together: We efficiently leverage our diverse skills and perspectives for one another, united by our shared vision.
We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.


Senior Manager Data Science

Hiring in Canada and the US
Urbint is an AI-first SaaS company. Our mission is to make communities more resilient by identifying areas of high risk and preventing catastrophic loss for utilities and infrastructure operators across the country. We are a team of close-knit engineers and entrepreneurs who obsess over problem-solving, new technologies, and making a positive impact in our communities.
We encourage people from underrepresented groups to apply.
Job Summary
We find meaning and excitement solving real world problems, and we hope you do, too. At Urbint, the machine learning team does not work on making consumers spend more or on maximizing clicks. We get to make an impact with our work by reducing carbon emissions and infrastructure risk, and even saving lives.
We are looking for a “product fluent” ML leader to join our high visibility, high impact team to help with this mission. The ML team collaborates with a diverse, broader-mission team to deliver value for our customers.  Members of the Machine Learning team have the option to major/minor in areas from a large data science specialization spectrum: Technical Product Management, People Management, Data Story-Telling,  Applied ML, ML Research, AutoML (Algo/Performance)  and MLOps (DE, SRE). This is a great role for someone who enjoys variety and is also looking to expand their skill set in a structured fashion.
While research is an important aspect of machine learning, we are not an R&D only team. We deploy models, and are able to measure and quantify the real-world impact.
What You'll Do
Overall, you will be responsible for delivering business value at scale via Machine Learning.
You will be “an orchestrator” - managing out and cross-functionally, building roadmaps, and providing leadership for squads, including:

Working closely with ML, Product and Customer Success leadership to understand business goals and translate them into Machine Learning initiatives.
Providing technical guidance for the team to formulate the research problem, design experiments and narrow down the solution space.
Managing your team’s sprint goals, stories and deliverables.

You will use your strong communication and organizational skills to help the  team convey complex ideas & trade-off decisions to business stakeholders.
You will be a significant contributor in building our products, specifically through creating frameworks, tools & operating models for:

Discovery:  Ensure the Data Science solutions clearly reflect and effectively solve the business problem in question.
Delivery: Will be responsible for your team’s deliverables with an obsession towards customer value.
Speed to value:  developing tools that enable team productivity and accelerate deliverable quality.

You will build and manage a team of high performing data scientists
You will assist the VP, ML in  offering  strategic guidance in leveraging data science to shape product vision, business strategy and drive competitive moats or differentiators - with a lot of room for growth!
Who You Are
8+ years of progressive  experience in data science/machine learning roles, having built successful models yourself,  and leading/mentoring teams for 4 years+
Expert level in coding, package management & architecture designs.
Experience in Agile and comfortable with startup environments.
Up to date with what’s under the hood of some of the advanced ML tools available.
Most importantly,  you’ll offer strong product thinking skills. E.g Able to define n versions of the ML task to solve the same business problem and be able to articulate the tradeoffs for the customer.
Nice to Have
Experience building AutoML tools.
Track record of creating excellent slack emojis and memes.
Benefits
Mission Driven - Some companies use AI to serve better digital ads and trade stocks, we seek to make our communities safer and more resilient
We are 100% Distributed - work from almost anywhere
Competitive compensation packages
Your health and wellness matters to us, so we offer 100% employer-paid premium options and more…
Physical Health: Monthly wellness reimbursement to assist with gym memberships and other related activities
Home Office Reimbursement: Monthly allowance covering utilities (electric, internet) and related home office expenses
Co-Working: Monthly allowance covering expenses for co-working space
Professional Development: Generous annual allowance, supporting your growth
Employee Meals: Weekly lunch allowance
We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.


Staff Applied Scientist I Recommendations Personalization

Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect entrepreneurs with buyers around the world. Etsy, Inc.'s 'house of brands' portfolio has expanded to now include four individually distinct ecommerce brands -- Etsy, fashion resale marketplace Depop, musical instrument marketplace Reverb, and Brazil-based handmade goods marketplace Elo7. As an Etsy employee, you'll tackle unique problems alongside talented coworkers committed to Keeping Commerce Human. We're large enough that you'll focus on meaningful, complex challenges, but small enough that you can make a rewarding impact.
Job Description
What’s the role?
Etsy is an international marketplace with 65M+ handmade and vintage items from passionate artists, designers, and vintage collectors. Our Recommendations and Personalization (PersoEng) enables product teams across Etsy to understand, personalize, and rank recommendations that we present to buyers.
As a Staff Applied Scientist, you will be responsible for initiating and delivering new solutions for the domain application of Recommendations. We are looking for individuals who are product & technology-driven, and are passionate about making ML innovations in areas such as: Natural Language Processing, Representation Learning, Clustering, Optimization, Deep Learning, Graph Learning, and Reinforcement Learning to help improve the Etsy buyer/seller experience!
This is a full-time position reporting to the Applied Science Manager, Recommendations. For this role, we are considering candidates based in the U.S. who are either remote, flex or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our flexible work options and vaccination policy here.
What's this team like at Etsy
We build capabilities to select relevant item candidates to help product teams to provide personalized user experiences.We use machine learning algorithms to train models which can be used to choose relevant personalized candidate sets for our recommendation engine.
What does the day-to-day look like?
Initiate and lead a new track of works to enhance the capability of candidate generation for Etsy’s Recommendation engine.Develop innovative representations to capture salient signals of our users and listings, including aspects like content, function, budget, and preferences.Develop models with custom architecture or objective functions that target Etsy-specific problems, including but not limited to personalized retrieval, ranking, revenue optimization, seller fairness, and seasonalityMentor other applied scientists and guide them during their projectsWork closely and collaboratively with software engineers, data scientists, product managers, and designersOf course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualifications
Qualities that will help you thrive in this role are:
Successful track record of applying machine learning techniques in addressing real-world problemsExperience with / working in one of the following fields: reinforcement learning, deep learning, or computer visionShown success developing productionized machine learning systems. You are comfortable with using git, docker, and other tools for writing robust, production-ready codeAbility to write and manipulate data at a large scale, in distributed environmentsExperience using Google Cloud PlatformExperience in representation learningExperience in Approximate-Nearest- Neighbor (ANN) searchExperience in building production search, recommendations, advertising, knowledge base (structured data), or general e-commerce systems.Experience using the following frameworks: Spark Scala, Airflow, Kubflow, Tensorflow
Additional Information
What's Next
If you're interested in joining the team at Etsy, please send a cover letter and resume telling us why you'd be right for the position. As you've hopefully seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So write to us and tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace makes us a more relevant, more competitive, and more resilient company. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application and interview process, to perform essential job functions, and to receive other benefits and privileges of employment. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skillsets.
For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska. For candidates who will work remotely from Colorado, visit this link for information related to Colorado's Equal Pay for Equal Work Act.


Data Scientist

We're Karat, the leader in technical interviewing

Karat’s purpose is to Unlock Opportunity for engineers and companies alike, and our mission is to make every interview predictive, fair, and enjoyable. As the world’s technical hiring expert, we help companies hire smarter and grow faster, and create more opportunities for software engineers. From our industry-leading solutions to Karat’s Brilliant Black Minds program, the work we do here matters. We’re a passionate, smart, and committed team, and we want you to join our mission!
Come join our Data team
Our Data Science team is committed to partnering in exploratory data analysis, conducting experimentation, and building and automating data-driven product features. We conduct research and development needed to make technical interviews more predictive. Working on the Data Science team, you will shape the future for the intelligence and efficiency of our product.
What you will do
As a Data Scientist at Karat, you will collaborate with Data Analysts, Data Engineers, and Software Engineers to design, implement, and scale our data processing and modeling platforms. You will be responsible for determining the feasibility of producing predictive models from available data to meet specified product requirements.
Job Responsibilities

Identify experimentation, automation and efficiency needs for Karat's business and product teams, understanding their goals and metrics in order to conduct research to identify potential solutions.
Design, build, and deploy efficient and reliable cloud-based data modeling pipelines to deliver automation and predictive modeling services.
Help refine our interview data processes to increase the signal captured in every minute of our interviews and maximize the value provided to our customers.
Investigate new data sources and methods for combining multiple data sources to support new types of data analysis, modeling and new product features
Identify methods for automating existing manual business processes
Help manage and advance our experimentation platform to support testing new features and making intelligent product development decisions
Protect Karat's data processes against quality issues. Design and develop data modeling performance monitoring.
Support our engineering teams by reviewing code and designs as-needed
Nurture data conversations within Karat by educating teammates about data science and machine learning.

The experience you will bring

3+ years of tech industry experience in data science, machine learning, software engineering, or other related roles
Bachelor’s degree in Economics, Statistics, Computer Science, Operations Research, Engineering, a natural science or equivalent quantitative subject (or equivalent experience) preferred
Experience with Python and related data science and machine learning libraries
Significant experience with relational databases with a strong knowledge of SQL and data modeling best principles
Experience with data visualization and presentation, data analytics and BI tools, and cloud services

Karat’s HQ is based in Seattle, Washington, but we are open to remote candidates for this role (within the U.S.). Immigration sponsorship is not available for this position.

Benefits of joining Karat
Karat strives to offer everything you need to best support you today, tomorrow, and beyond. We’re proud of our current offerings, and highlight some of our team’s favorites below. There are more, just feel free to ask!
Compensation / Time Off:

Highly competitive salary and stock options
401(k) with company match
Generous paid PTO (see below) and Sick Leave (10 days per year)
Flexible Time Off Policy for salaried positions
Three weeks accrued per year for hourly positions
Global Parental Leave (16 weeks paid with additional 8 weeks transition back to work in part-time capacity)
20 paid Company Holidays for 2022

Benefits / Wellness:

Medical, dental, and vision insurance via Cigna or Kaiser (for CA-based employees)
100% premium covered for employees
70% premium covered for dependents
FSA, STD, LTD, Standard Life Insurance, and Optional Life Insurance
Mental Wellness offerings such as Calm, Happify, Talkspace, Modern Health, and more
$150 per month contribution to miscellaneous benefit/wellness of employee’s choice

Learn more about us

Statement of Non-Discrimination:
In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at Karat.
We value a diverse workforce: people of color, womxn, and LGBTQIA+ individuals are strongly encouraged to apply.
If you have a disability or special need that requires accommodation, please let us know at people@karat.com.
Karat is an E-Verify company.


Data Scientist

Job Summary:
Supporting the Disney Advertising Sales organization within our Disney Media & Entertainment Distribution (DMED) segment, the Audience Modeling and Data Science team are subject matter experts in each of the following areas:
Creating and optimizing audience classification models that enable us to predict and target strategic audience attributes, including brand affinity, purchase behavior, and psychographicsIntegrating a broad suite of complex datasets, from digital event logs to sporting event metadata, into carefully curated and reusable data modelsPublishing audience attributes across an array of ad-serving endpointsWorking cross-functionally to ensure our data product is aligned with the goals of each strategic sales vertical and the business as a whole
We are looking for Data Scientists with strong SQL skills, knowledge of implementing ETL/orchestration processes and excellent data engineering background to join the Walt Disney Company’s DMED segment on the Ad Sales team. This role reports into the Data Science Strategy organization that manages key revenue-driving products for the Audience Modeling and Data Science team. The ideal candidate is a Data Science Engineer, Data Scientist, Data Engineer or Software Engineer that is looking to grow into a high-visibility, client-facing role.
Responsibilities :
Create automated data feeds using various SQL orchestration platforms to support data science products.Participate and engage in product-development meetings and translate business requirements to technical action items for data feeds and reporting.Analyze the UX of data science products and provide feedback to management/product teams to implement.Leverage cloud SQL software and open-source tools to wrangle huge amounts of data across dozens of sources into a unified data model.Interact with business stakeholders (both internal and external) to understand macro-level organization strategy and help drive forward data science initiatives.Assist in development and orchestration of processes that egress data to storage repositories and API endpoints.Collaborate on rapid prototype MVP (minimum-viable product) solutions for emerging opportunities.Translate business language and requirements into technical action items.
Basic Qualifications :
2-3+ years of experience in data engineering, data science or software engineering.Strong experience in Google Cloud, AWS, or other cloud platforms a must.Experience in end-to-end data quality assurance analysis, with ability to identify and address the ‘why’ in complex pipeline processes.A desire to work directly with business stakeholders and understand strategic decision making in a communication-heavy data science role.Proven ability in developing production-ready data pipelines utilizing orchestration applications.Strong experience using SQL to transform and summarize data (Spark, Beam, Hadoop, and other big data processing software a plus).Innovative thinker capable of operating both in a strategic capacity (big-picture perspective, asks "why") and a hands-on/execution capacity (detail-oriented, conscientious).Great organization, communication, and teamwork skills.Self-motivated with the ability to work and learn independently.
Required Education :
B.A. or B.S. (MS, MBA, or PhD a plus) in a quantitative field (Math/Statistics, CS, Engineering, Business, Economics, experimental science, or similar)


Principal Data Scientist

Fountain is enterprise software that accelerates global high volume hiring. Our customers hire millions of hourly workers annually in 78 countries. Job seekers often struggle to get connected with companies seeking hourly workers due to inefficiencies in their hiring processes, and Fountain makes it easier for them to get offers for work quickly. Getting hired fast eases some of the financial instability millions of families face.

Fountain is a Remote-first company that embraces a work from anywhere policy and offers flexibility on location, so our employees feel free to enjoy the world. Fountain is widely trusted by leading organizations, including Chipotle, StitchFix, GoPuff and Just Eat Takeaway.

We just 4.5Xed in valuation in our Series C, which was led by Softbank and B Capital. We plan on keeping this hyper-growth going this year! Come join us on this rocket ship!

In this role you will partner with our internal teams and current customers to develop and deploy superior machine learning models that drive growth using first- and third-party data. Your deep curiosity and tenacity, combined with business judgment will surface opportunities to apply data science to various business problems, including optimizing B2B marketing budgets. Your algorithms will be leveraged to deliver superior results which actively contribute to Fountain’s rapid growth.

Reporting to the Director, Data Science, you will have the opportunity to showcase your work to the leadership team. You will lay the foundation for our Marketing measurement, aligning offline and online data for a true view of effective spend.

What you will be doing:

Program using R, Python, Javascript, Java, or C++
Perform big data modeling work: BigQuery, Pig, Scala, Spark
Fish for data: SQL, Pandas, PostgreSQL
Deploy Data Science solutions: Java, Python, C++
Can communicate concisely and persuasively with marketers, engineers and product managers.

What you should bring:

Significant prior success as a Data, Marketing, or Decision Scientist working on challenging problems at scale
Bachelor’s degree required in Computer Science, Statistics, or Mathematics or equivalent field required
5+ years of industry experience, with expertise in Data Science, Business Analytics, or Data Analysis
Strong ability to code in Python
Have full stack experience in data collection, aggregation, analysis, visualization, productionization, and monitoring.

Nice to Have:

Advanced graduate degree (e.g., MBA, PhD, etc.)
Experience includes B2B Marketing.

Amazing Perks & Benefits we provide for our employees include (but are not limited to):
Flexible PTO & Work Hours
"Work from Anywhere" Policy
Comprehensive medical, dental, and vision coverage
HSA & FSA (Medical and Dependent Care)
Life Insurance & STD/LTD
16 Weeks Paid Parental Leave for Birth/Adoption
Wellness/Gym Reimbursement
Phone Stipend
Remote IT/Home Office Stipend
Learning and Development Reimbursements
Fun, interactive and inclusive team-building events, off-sites, and happy hours
401K Plan

Even if you do not meet all the requirements above, we still encourage you to apply for this position. While we try to be thorough with our prerequisites, not everything about you as a candidate can be condensed into a list of bullet points.

We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, socioeconomic status, disability, and veteran status.

*Fountain is proud to be an Equal Opportunity Employer—M/F/D/V*


Senior Data Scientist

About Us:
SmartAsset is an online destination for consumer-focused financial information and advice that powers SmartAdvisor, a national marketplace connecting consumers to financial advisors. Reaching approximately 75 million people each month (as of Sept. 2021) through its educational content and personalized calculators and tools, SmartAsset's mission is to help people make smart financial decisions. Ranked on the Inc. 5000 and Deloitte Technology Fast 500™ lists of fastest growing companies in 2021, SmartAsset closed a $110 million Series D round, valuing the company at over $1 billion. SmartAsset was also named to Y Combinator's list of Top 100 Companies of all time and Forbes' list of America's Best Startup Employers in 2020.
SmartAsset has been featured in hundreds of publications, including the Wall Street Journal, CNN, TechCrunch, The New York Times, CNBC, FOX Business, The Washington Post, U.S. News World Report, TIME, Reuters, Businessweek and Barron’s.
About you:
As a Senior Data Scientist you will lead the development and the deployment of machine learning models that will drive business decisions, with a focus on model monitoring. You will mentor junior data scientists, and lead the data team expansion and adoption of good practices.You will utilize your strong problem-solving skills, computational experience, and business analytics to solve real-world problems at scale. You will design and implement a variety of data products to support and drive business operations. You will cooperate with other business leaders from different teams (Sales, Marketing, Product, and Technology).
Required Skills and Experience:

Proficient in Python and SQL
Strong data visualization and analysis skills (pandas, numpy, matplotlib, scikit learn, tensorflow, etc)
Professional experience with the development and deployment of predictive models, with an emphasis on time series and categorization models.
Professional habits around model validation, testing, and tracking
Knowledgeable of best practices such as version control (git), documentation, environments, unit tests, containerization, and task scheduling
Experience with statistical techniques and their applications in a business environment
An investigative journalist-type approach when it comes to getting answers to a problem
Comfort with cross-team collaboration and communicating technical ideas to a non-technical audience
Strong quantitative background, having either been a graduate of a data science bootcamp, or the holder of an undergraduate or graduate degree in data science, statistics, mathematics, physics, econometrics, or another related quantitative field
5 years of relevant working experience

Preferred Skills and Experience:

Experience with ML services like AWS Sagemaker, DataBrew, Feature Store
Experience with prototype-to-production model development
Experience with model monitoring (drift / performance…)
Comfortable in working on the line between data science and data engineering

Available Benefits and Perks:

All roles at SmartAsset are currently and will remain remote - flexibility to work from anywhere in the US.
Medical, Dental, Vision - multiple packages available based on your individualized needs
Life/AD&D Insurance - basic coverage at 100% company paid, additional supplemental available
FSA: Medical and Dependant Care
401K - 3% match with immediate vesting
Equity packages for each role
Time Off:  PTO, 3 Month Paid Parental Leave,  Secondary Caregiver Leave
EAP (Employee Assistance Program)
Pet Insurance
Short-term and Long-term Disability
Home Office Stipend
Health and Wellness Stipend
Monthly Food Delivery Stipend

SmartAsset is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at Recruiting@smartasset.com.


Director Of Machine Learning

We are looking for a talented Data Science & Machine Learning Leader to help build this vision. In this role you’ll report to the Chief Technical Officer and Chief Science Officer and help create the culture and environment by which we use cutting edge AI + ML to construct our network, deliver predictions to customers, analyze and predict network trust, identify classification and misclassification problems, and help our teams build, deliver, and customer the AI/ML experience for our customers.  This is a strategic role for our organization that enables us to accelerate our rapidly grow the value and unique insight we can deliver to customers.
Responsibilities

Manage a cross-functional team of talented Data Scientists, Analysts, and Machine Learning Engineers responsible for the construction and enhancement of the Altana Atlas Knowledge Graph, and the delivery of our decision support products
Define Altana's data and machine learning technology standards, and oversee the training, mentorship, and performance of a world-class technology team
Collaborate and build strong relationships with Product and Customer Solutions stakeholders to understand requirements and priorities
Manage the evaluation and professional development of your organization, including cultivating middle management
Establish and oversee a hiring process that attracts and retains world class technology talent who can push the envelope of natural language processing, machine learning, and network analysis

About You

BS or MS degree in Data Science, Computer Science, or equivalent experience
You have 10+ years of real-world professional experience building products based on Data Science & ML
You have strong working knowledge of Knowledge Graphs, Entity Resolution, Natural Language Processing, and Classification techniques
You have experience managing managers, building teams of 20+, and delivering major organizational impact
You have a strong sense of shared ownership and a collaborative disposition
You have strong written and verbal communication skills

Nice to have, but not required

You've worked with supply chain data, company data, or have familiarity with B2B economic modeling
Experience with container technologies like Docker and Kubernetes
Working knowledge of cloud services like AWS, Azure, or GCP

Technologies we love

Languages: Python, SQL
Tools: Git, Kubernetes, Databricks, PowerBI, Tableau, AWS, Azure
Datastores: Elasticsearch, Postgres, DataBricks, ArangoDB

Compensation: $150,000 - $350,000 (Negotiable and dependent on experience)


Staff Machine Learning Scientist

The Role:
We believe that intelligent technology working alongside outstanding care providers is key to delivering timely, quality and affordable healthcare to patients with complex chronic conditions. We’re looking for an early contributor Staff Machine Learning Scientist to own and execute on the ML vision. This is your opportunity to have an outsized impact on helping doctors make better decisions, increase healthcare access for our patients, while keeping patients engaged in their care and improving their health outcomes!
What you’ll do:

Partner with senior leaders to define the organizational machine learning roadmap, and find opportunities to improve care and operations with ML-driven solutions
Own the planning, development, and impact assessment of ML initiatives and be hands on in building ML models using text, image, and structured data
Collaborate with product and operations teams to integrate ML models into clinical and operational workflows
Work closely with engineering and infrastructure teams to develop robust and scalable MLOps practices
Mentor, and provide technical guidance for an early ML team of scientists and engineers
Stay on top of recent developments in ML methods in the search, recommender systems, NLP, computer vision, and causal inference spaces

You should have:

7+ years of applied ML experience in an e-commerce or healthcare setting
Strong communication and experience working with multi-functional engineering, product, and operations teams
Deep knowledge of the fundamentals of traditional machine learning and deep learning
Experience training, deploying and serving ML models in a cloud environment (AWS preferred)
Strong proficiency in Python, SQL, GitHub, scikit-learn, and at least one deep learning framework (PyTorch, TensorFlow, Keras)
MS/PhD in computer science, statistics or another quantitative field preferred, but not required


Research Internship Ml Dl Fall

Type: Internship
Experience: PhD/Graduate Students
Who you are:
You’re a Ph.D. candidate who has published in top tier conferences and are passionate about having a positive impact on the world. You are enthusiastic about working on some of the most challenging problems in AI, working in a highly collaborative environment and directly contributing to products while advancing the state of the art. You are very creative, can work independently, and are an excellent collaborator and communicator.
Responsibilities:

Perform research to advance the state of the art and solve specific problems at scale in one or more of the following areas: Information Retrieval, Complex Networks, Recommender Systems.
Work closely with a diverse, interdisciplinary team on a specific project to be completed during the internship.
Excel in placing a human-centered focus on the work (context, end-user impact, etc), finding solutions that work in practice and have significant impact.

Minimum qualifications:

Must be enrolled in a Ph.D. program in Computer Science, Electrical Engineering or a related field.
Ideal candidates will have had prior internship experience.
Outstanding publication record in the candidate’s field of study (CIKM, WSDM, ICWSM, ICML, KDD, NeurIPS, RecSys, SIGIR,  WWW, etc.).
Demonstrated ability to work independently, set up experiments and demonstrate progress through principled used of metrics.

Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, color, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status.
#LI-AG
#LI-Remote


Group Manager Technical Data Science

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 from an office (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
We're looking for a Data leader with business instincts, management experience, analytics mastery, and experienced in improving data science efficiency. Someone who is passionate about applying these skills to lead data quality, reduce the need for data scientists to perform data engineering tasks, working across the organization to create the proper data layer to increase data science productivity. You will be reporting to Dylan Lewis, who is the Experimentation Leader at Atlassian.
What you'll do
Draw on your expertise in understanding software development lifecycle and developer productivity to think about what are data and insights features that we should ship to our internal data science customers to influence the way they workPartner with the data engineering and platform teams to Identify, and support short, medium and long-term portfolio of projects that improves data assets used across data science.Envision, scope, and lead projects by collaborating with partners, software and data engineering leaders, and data scientists.Guide the creation of tools that allow a centralized data framework that improves the efficiency, quality and capabilities of all data analysts and scientists.Oversee business case development, data requirement gathering (including metrics and definitions alignment), establishing acceptance criteria, QAing, and testing for new transformational data products from start to finish to ensure everything is implemented and validated.Work across marketing and product to develop monitoring and action plans across the data quality lifecycle (instrumentation → transformation → data/metrics/segments)Lead, coach, and build the data quality team within the Data Science teamCollaborate with the Business Intelligence team to define and achieve standard segment and metric definitions and governance.Contribute into overall Data Science team OKRsBe part of building an outstanding analytics culture at Atlassian. Leading by example, through education and creation of self-service tools, to make a lasting change in how data is used to make decisionsGuide demos sessions and education roll out for new data products and features to ensure adoption and usage
Your background
3+ years of data science, analytics and/or data engineering leadership experienceExperience working with software and data engineering teams, an understanding of the software development lifecycle, what drives software team to succeed and exposure to typical software engineering tools (e.g. Jira, SCM, CI/CD systems).Expertise in data modeling, (e.g. SQL, Python), knowledge of cloud data environments (e.g. AWS), experience with data ETLs and UAT processes, and experience with visualization toolsAn Agile development mindset, appreciating the benefit of constant iteration and improvement. A very high bar for output quality, while balancing "having something now" vs. "perfection in the future"Experience applying your analytics skills to identify and lead projects that have had an impact on strategic and product roadmap decisionsComfort explaining complex concepts to diverse audiences (such as Product Managers, Designers, Engineers), and creating compelling storiesProject management and prioritization experience; preferably with Data Engineering, Product Management, and Software Engineering teams


Senior Research Scientist Ml Partnerships

The Team
Upstart’s Machine Learning team has a direct impact on our company's success. The team consists of Research Scientists, Data Scientists, ML Engineers and other highly specialized roles. As a whole, the Machine Learning team builds, enables and evaluates our core production models.
Because our challenges are so new, members of our Machine Learning team need strong creative problem-solving skills and the technical background to implement solutions. Our research environment affords team members the opportunity to utilize a variety of statistical and machine learning methods with the freedom and encouragement to pursue alternative approaches to solving problems. Whether developing new products or identifying novel approaches to core models, we are continuously seeking the next big ideas to move our business forward.

Position Location - This role is available in the following locations: Columbus, Austin or Remote
Time Zone Requirements - This team operates on either the East or West Coast time zones.
Travel Requirements - This team has regular on-site collaboration sessions six times annually split between our San Mateo or Columbus office locations. If you need to travel to make these meetups, Upstart will cover all travel related expenses.

What we’re looking for:

Strong academic credentials with a master's degree in computer science, statistics, mathematics, or other quantitative areas of study; Ph.D. preferred
Programming skills in Python
Full-stack expertise with all steps of the modeling process from ideation to productionalizing code; OR deep expertise in either statistical modeling or machine learning
Proficiency in a broad array of mathematical, statistical learning and machine learning concepts and applications
Knowledge of machine learning, pipelines and engineering architecture
Detailed understanding of building good technical solutions; ability to convert ideas into testable hypotheses and/or next steps
Ability to meet team standards with respect to quality and velocity with minimal help or direction from peers
For more complex tasks, ability to break down problems into smaller tasks, and use them to estimate the timeline of executing a larger initiative. Willingness to make the right tradeoffs when needed to deliver projects on time.
Proactively communicate to stakeholders and teammates with ability to contextualize technical results
Ability to mentor junior teammates with interest in technical and/or people leadership is a plus
Strong sense of intellectual curiosity balanced with humility, drive and teamwork
Numerically-savvy and smart with ability to operate at a speedy pace
Enthusiasm for and alignment with Upstart’s mission and values

What you'll love:

Competitive Compensation (base + bonus & equity)
Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart
401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savings
Employee Stock Purchase Plan (ESPP)
Life and disability insurance
Generous holiday, vacation, sick and safety leave
Supportive parental, family care, and military leave programs
Annual wellness, technology & ergonomic reimbursement programs
Social activities including team events and onsites, all-company updates, employee resource groups (ERGs), and other interest groups such as book clubs, fitness, investing, and volunteering
Catered lunches + snacks & drinks when working in offices

#LI-REMOTE
#LI-Associate


Data Scientist Product Analytics

For this job we are currently only hiring candidates based in the United States.
About the opportunity
Ontra is seeking a Data Scientist, Product Analytics reporting to our Senior Manager of Data on our Research and Development team.
The role is a great opportunity for someone looking to lead data science and analytics projects that support our growing Data Team’s efforts to enable data-driven decision-making across the Ontra organization. These include helping to build out our experimentation platform, leading small teams to develop analyses to improve product features, and improving our data infrastructure.
The Data Scientist will work with business and product stakeholders to identify areas where data insights can provide business value and will devise data projects that address those needs. When executing on these projects, the Data Scientist will be both hands-on and a technical lead: contributing and guiding other Data Analysts’ efforts to uncover valuable insights from our legal data sets that inform product development and business strategy. As you combine your data expertise with growing knowledge of Ontra’s products and business, you also will lead efforts to define and track metrics that drive business improvements.
If you are ready to dive into data sets to inform product decisions, we’d love to get to know you!
What you’ll do

Provide analytics expertise: Build thorough understanding of Ontra’s datasets and develop metrics and insights using SQL and python/R that address product and business needs

Democratize data insights: Perform statistical analyses and create informative data visualizations using Snowflake/Snowsight, Looker, and python/R libraries that deliver value to stakeholders across the organization

Inform strategy: Collaborate with product and business leaders to develop metrics and dashboards that support company objectives and key results (OKRs)

Serve as a subject-matter expert: Provide guidance both to stakeholders on how to use data in decision making

Be a technical mentor: Provide technical leadership to junior Data Analysts to help them deliver on projects and grow their skill sets

What you’ll bring

Expertise in exploratory data analysis: 5+ years experience manipulating data sets, navigating ambiguity, creating data visualizations and delivering insights that inform business decision making

Fluency in SQL: can construct complex joins, filters and aggregations to appropriately answer questions of the data and advise on how data can be stored to support analyses

Intermediate scripting: Experience using a scripting language (python, R, etc.) to perform analytical work, building toward python expertise

Effective communication: Excellent communication and problem solving skills and ability to effectively collaborate with functional leadership across the organization

Detail-oriented mindset: A strong attention to detail and a well-reasoned sense of skepticism toward the results of analyses