Head Of Core Experience Machine Learning Causal Inference Data Science

What You'll Be Doing
Develop and own the roadmap & prioritization for predictive modeling and causal inference to understand user dynamics on the platform
Mentor and guide the team to use state-of-the-art machine learning and causal inference techniques to provide a deeper understanding of the product, users, and communities.
Influence our experimentation platform decisions, best practices, and experimentation accuracy
Inform the direction of our ML & CI tech stack through collaboration with our Data Platform team
As a member of our Data leadership team, inform architectural decisions, establish best practices, develop lean scalable processes, and contribute to the overall direction of the Data organization at Discord!
You Will Thrive In This Role If
3+ year of people management experience in ML & CI domains; track record of leading successful teams in a cross-functional & collaborative environment
PhD in quantitative field and 6+ years of experience in using ML and/or CI techniques to make an impact on vague and challenging business problems.
4+ years of industry experience in developing, productionizing, and maintaining applied machine learning models for internal use cases (i.e. low SLA, batch models)
Expertise in the following domains: linear models, neural networks, tree-based models, and unsupervised learning
Proficiency with Python and SQL
Excellent communication skills, with the ability to explain complex findings and technical approaches to a variety of audiences.
Last but not least - a collaborative attitude and a healthy dose of natural curiosity!
Bonus Points
Experience in experimentation on social media or other consumer products with network effects (eg. cluster based testing)
Interest in conducting literature reviews, translating and championing best scientific practices to a wide range of functions across the company.
Experience writing technical articles related to machine learning & causal inference.
Experience with R.
Passion for Discord or online communities.
#buildbelonging
(New York City only*) Minimum salary of $206,000/year + equity and benefits Note: Disclosure as required by NYC Pay Transparency Law (Colorado only*) Minimum salary of $175,100 /year + equity and benefits *Note: Disclosure as required by sb19-085(8-5-20).
Benefits and Perks
Comprehensive medical insurance including Health, Dental and Vision (plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
16+ paid holidays, 4 weeks of PTO + use-what-you-need sick days
Paid parental leave (plus fertility, adoption and other family planning benefits)
Flexible long-term work options (remote and hybrid)
Volunteer time off
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
We’re working toward an inclusive world where no one feels like an outsider, where genuine human connection is a click, text chat, or voice call away. A place where everyone can find belonging. Challenging? Heck yes. Rewarding? Double heck yes. It’s a mission that gives us the chance to positively impact millions of people all over the world. So if this strikes a chord with you, come build belonging with us!
Apply Now


Senior Data Scientist Analytics Marketing

What You'll Be Doing
Be a DS Tech Lead in the Community Marketing area, build business domain knowledge, translate ambiguous business problems into deep insights via hands-on analytics, proactively initiative, drive, execute, and socialize analytical projects to shape Community Marketing business direction
Partner with teams throughout Discord through the full lifecycle of data analytics from ideation and exploratory analysis, to building dashboards and reports, and A/B testing
Define KPIs and diagnostic metrics that help improve the server & user experience, encapsulating these measures in clean crisp dashboards that provide us with and actionable information
Use our amazing infrastructure to build custom data sets to monitor novel product features and processes
Socialize insights, dashboards, and reports with technical and non-technical audiences, soliciting feedback on where to improve
Promote A/B testing and help groups throughout the company design, analyze A/B tests correctly
Collaborate with data and engineering teams to design scalable and future-proof instrumentation
You'll Thrive in This Role If
4+ years of experience autonomously translating ambiguous business problems into deep informative insights through hands-on analytics
4+ years of experience building performant dashboards using Tableau, Looker, or similar software - with proficiency in designing clean crisp visualizations
4+ years experience writing excellent SQL
Excellent communication skills, with the ability to translate complicated findings or technical approaches in easy-to-understand ways
4+ years of experience in the design, analysis, and interpretation of A/B tests in a large data environment
A desire to work with amazing, passionate people who care deeply about solve challenging problems to improve Discord
Last but not least - a collaborative attitude and natural curiosity!
Bonus Points
Passion for Discord or online communities
Experience collaborating with marketing or sales
Experience with writing production ETL
Experience with technical leadership, being the point person for one or more stakeholder groups
Experience with analytics for social media or international subscription-based online services, including familiarity with concepts such as user segmentation, funnel analysis, cohort analysis, LTV analysis, sentiment analysis, etc
Experience writing performant code in BigQuery SQL
Benefits and Perks
Comprehensive medical insurance including Health, Dental and Vision (plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
16+ paid holidays, 4 weeks of PTO + use-what-you-need sick days
Paid parental leave (plus fertility, adoption and other family planning benefits)
Flexible long-term work options (remote and hybrid)
Volunteer time off
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
We’re working toward an inclusive world where no one feels like an outsider, where genuine human connection is a click, text chat, or voice call away. A place where everyone can find belonging. Challenging? Heck yes. Rewarding? Double heck yes. It’s a mission that gives us the chance to positively impact millions of people all over the world. So if this strikes a chord with you, come build belonging with us!
Apply Now


Data Scientist Biosensor Analytics

Data Scientist - Biosensor Analytics
Biofourmis is looking for candidates with Biosensor Algorithms background to solve data science problems in digital health and continuous patient monitoring.
Responsibilities:

Design and develop new health monitoring features, functionalities, and algorithms for low power embedded wearables and/or cloud solutions
Design, prepare and conduct clinical, laboratory and bench studies for feasibility, development and validation
Build pipelines and automation for processing, data analysis, and machine learning model training to accelerate algorithm development
Design, iterate, and optimize algorithmic processes and systems to achieve best in class computational efficiency and clinical performance
Create, refactor, and manage code repositories and releases
Carry out incremental improvements, refinements, and maintenance of algorithms and code base

Work with firmware and back-end and QA engineers to implement algorithms and models in our products and ensure their quality through rigorous testing

Foster collaborative cross functional communication, proper planning, and timely executions
Follow good research development practices and quality management system for product life cycle
Prepare reports for the design, implementations, and verification & validation
Present results and recommendations to cross functional teams and management
Contribute to the company's intellectual property and publications
Be self-driven, motivated and a team player

Qualification & experience:

PhD/MS in Digital Signal Processing, Biomedical Engineering, Computer Science, Electrical Engineering or other relevant discipline
1– 3 years of academia/industrial experience in developing biosensor analytic algorithms for biosensor and or cloud deployment involving complex physiological and actigraphy signals
Solid background and practical expertise in digital/image/statistical signal processing, and machine/deep learning
Hands-on experience in PPG/actigraphy signal processing, embedded sensor hardware development, algorithm integration and testing are a plus
Proficiency in programming using MATLAB, Python and or C/C++
Experience with agile project management, version control, and QMS tools
Strong problem-solving and excellent communication skills
Good track record with patents and/or publications
Must be comfortable working with a mostly remote-based team and colleagues


Senior Manager Data Science

🚀 Whatnot
Whatnot (YC W20) is a livestream shopping platform and marketplace backed by Andreessen Horowitz and Y Combinator. We’re one of YC’s top companies and one of the fastest growing marketplaces ever. We’re laser focused on creating an exceptional software company, team, and place to work. You can read our principles [here].
Our mission: enable anyone to turn their passion into a business and bring people together through commerce. We’re building the future of ecommerce; an interactive community where creators can make a living off their passion.
Did we mention we’re high growth? In January 2021, Whatnot had 10 ambitious employees. Today, the Whatnot team is 120+ employees and will exceed 300 by year end. We’re hiring forward thinking problem solvers across all functional areas. We recruit thoughtfully, can adapt quickly, and are scaling fully remotely.
📈 Opportunity Size
The ecommerce experience has been static for 20+ years and is perhaps the largest opportunity in the startup space today. Livestream shopping is a $170B GMV market in China and has grown 100% YoY. Retail is a $5T market opportunity!
👋 About You
We are looking for intellectually curious, highly motivated individuals to be foundational members of our Data team! You will partner with our Engineering, Product, Finance and Operations teams to identify critical goals for the business, develop a deep understanding of them, and design scalable solutions.
You should have strong critical thinking and analytical skills, excellent communication abilities, and a knack for working across teams in a fast-paced environment. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from data engineering and product analytics to machine learning and service deployments.
In addition to 8+ years of experience in the Data Analytics field and 2+ years of experience in a data leadership role, you should have:

Excellent verbal communication and presentation skills to stakeholders, leadership, and investors
Demonstrated history of knowledge in Business Analysis, Statistics, Mathematics, Economics or related technical fields
Industry experience with proven ability to apply scientific methods to solve real-world problems on large scale data
Proven track record of building and leading data science teams supporting Product, Operations, or GTM teams
Ability to lead initiatives across multiple product areas and communicate findings with leadership and product teams
Experience with operational databases such as PostgreSQL, DynamoDB
Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT
Expert in using SQL for data analysis, reporting, and dashboarding
Experience with a scripting language such as Python or R is a plus
Aptitude and experience in applied statistics and machine learning techniques
Firm grasp of visualization tools interactive and self-serving such as business intelligence and notebooks

💻 Role

Build team roadmap to capture, analyze, and drive data driven decisions across core functions of the business
Own report building, insights generation, and data informed recommendations
Organize and shape the collective understanding of business health and opportunities through various data sources both internal and external
Act as cross functional leader guiding key decision making on high priority initiatives

🎁  Benefits

Competitive base salary and stock options
Unlimited Vacation Policy and No Meeting Holidays
Health Insurance options including Medical, Dental, Vision, Life, Short term disability & Long term Disability

Whatnot covers 99% of employee premium costs, and 75% of dependent care premiums for Medical
Dental and Vision sponsored 100% by Whatnot for employees and dependents

Work From Home Support

Laptop provided by Whatnot and home office setup allowance
$450 work-from-anywhere quarterly allowance for cell phone, internet, or co-working space

Up to $500 monthly to spend within Whatnot App
Care benefits

$1,350 quarterly allowance on food
$1,500 quarterly allowance for wellness
16 weeks Paid Parental Leave and gradual return to work
$20,000 for family planning, such as adoption or fertility expenses

401k offering for Traditional and Roth accounts provided by Betterment

Employer matching contributions of 100% of up to 4% of contributions on base salary

💛  EOE
Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.


Decision Scientist Ii

Job Description
We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.)
Our Mission:
To actively connect people to their next great opportunity.
Who We Are:
ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects job seekers with millions of businesses of all sizes through innovative mobile app, web, and email services, as well as partnerships with the best job sites on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.
Summary of Job:
The Analytics & Data Science team's mission is to empower ZipRecruiter with data through analysis, operational insights, and strategic initiatives. We're looking for a decision scientist that is meticulous, regimented, and creative. Your goal is to drive ZipRecruiter's growth by using data to improve decision-making, and to help make ZipRecruiter the best place for employers to hire and for job seekers to get hired.Your role is to serve as the interface between ZipRecruiter's data and our business, making sure that timely and accurate analysis is brought to bear on complex problems across our business. You will partner with business stakeholders in Product Management and Engineering to make data-driven decisions. You'll use data and statistics to uncover new opportunities and empower business leaders making difficult calls.We are currently hiring senior level Decision Scientists (Decision Scientist II)
Key focuses:
Exercise independent judgment to define KPIs, protect data integrity, and create insights and dashboards through analysis of large data sets Use professional discretion to communicate insights from data analysis to business stakeholders through creation of readable and informative data visualizationsInterpret data and statistics to facilitate ZipRecruiter's continuous experimentation and advancement Exercise discretion in identifying strategic opportunities to improve ZipRecruiter's products and operations through analysis of data Work closely with cross-functional teams in Product & Engineering to translate findings into actions Independently solve problems presented by business partners through analysis of dataContinuously learn and develop skills while working with our cutting edge team of analysts and data scientists Create readable and informative data visualizations to communicate data insights to business stakeholdersTurn ambiguous questions from business partners into clear analytical problems, and solve them using data
Minimum Requirements:
Experience setting up and leading AB testsExperience in product analyticsSQL experienceExceptional verbal, written, and visual communication skillsAttention to detailStructured analytical approach to problem solvingAbility to think creatively and to work well both as part of a team and as an individual contributorKnowledge of statistics and  R/Python skills 3+ years of experience in Finance, or Growth Marketing is a strong plus, particularly in a cross-functional team environment.
As part of our team you'll enjoy:
Competitive salaryExceptional benefits packageFlexible Vacation & Paid Time OffEmployer-matched 401(k) plan
#LI-Remote
ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics.
Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice
Company Description
ZipRecruiter is the fastest growing employment marketplace.  We have helped over 1 million businesses and 100 million job seekers find their next perfect match through partnerships with the best job boards on the web, curated email alerts, award-winning mobile apps, and the world’s best search algorithm for jobs.
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Data Scientist

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Description
At Johnson & Johnson Consumer Health, we’re here to change the world. We are a diverse group of leaders who think digital-first and push boundaries as much as we push ourselves. And, for other like-minded leaders out there looking to make their mark, we’ve got three words for you: change happens here.
Johnson & Johnson Consumer Health is currently recruiting for a Data Scientist  to sit within our R&D Organization Data Science team to be located in Skillman, NJ. Remote work options may be considered on a case-by-case basis and if approved by the Company.
We combine meaningful human insights and digital-first thinking to help people take better care of themselves and their loved ones. We believe in the power of new perspectives and insights to drive innovation. Our culture is diverse and inclusive – a place where being individually dynamic but collectively brilliant results in smarter solutions for all of the many communities we serve.
We are industry leaders, earning the #1 or #2 position in most of the categories in which we compete. Our iconic and beloved brand, including TYLENOL®, ZARBEE’S NATURALS®, NEUTROGENA®, AVEENO®, LISTERINE®, OGX® and JOHNSON’S®, are rooted in science and endorsed by professionals, helping more than 1.2 billion people live healthier lives every day, from their first day.
Learn more about   Johnson & Johnson Consumer Health   and follow us on   LinkedIn  .
In this role you will drive accelerated and differentiated growth and engagement for our consumers and employees within the Consumer Health R&D Data Science organization.
You will help grow data science as a core part of the overall digital strategy. You will work with life-science experts to define problems, identify data, define, design, and implement data science solutions, focusing on augmenting product development to improve outcomes and enable impact for our innovations.
You will partner with senior R&D leaders who are life science experts, to help them be even more impactful with a differentiated lens of thinking and problem-solving abilities. It will be imperative to have expertise within Biomedical Engineering and Data Science.
You will be customer facing with R&D and Commercial business partners and will require extensive external teamwork and collaboration. This role requires validated impact to translate business problems (from an R&D POV) into technology driven solutions designed to accelerate and improve the organization. These solutions will range from incremental and architecturally driven to truly groundbreaking opportunities for our organization.
 You will also:
 Partner with business collaborators to identify business requirements, crafting a portfolio of high-priority data science use cases or products
 Translate analytics insights into powerful narratives that drive business decisions and behaviors
 Build and apply data science and analytic solutions independent of technical direction
 Develop and implement data science solutions independent of technical direction, with a focus on Consumer-centric solutions
 Scale the use of existing social listening and NLP tools within R&D, encouraging teams and mentoring early adopters to demonstrate value through case studies
 As part of Data Science community of practice, help raise data science knowledge and support data-driven, consumer-centric culture in R&D organization
 Lead collaboration with internal partners and external vendors, build data platform or capabilities for Data Sciences to enable sophisticated data analytics, predictive consumer-technical modeling, consumer insight discovery, and innovation in product claims
 Continually explore and pilot new data science capabilities in proof-of-concept work to demonstrate potential value and build business case for further investment
Qualifications
 A minimum of a Bachelor is required. Field of study within Science, Engineering, Technology or within biotech is preferred. An Advanced degree is also preferred.
 A minimum of 4 years’ experience is required. Experience in a R&D organization is preferred.
 Solid understanding of data science capabilities to Product Development and Digital Health
 Able to understand and apply the constantly evolving data science innovations
 Strong analytical thinking and communications, e.g., understanding sophisticated or ambiguous business problems, explaining technical topics to non-technical colleagues, translating business requests into data science strategy, effectively presenting to key decision-makers
 Data-management skills, e.g., cleaning/organizing data, data preparation, data collection, data integration across different data sources, data storage, relational/non-relational database management
 Proficient in machine learning, artificial intelligence (AI), natural language processing (NLP), structured query language (SQL), NoSQL, MATLAB, XLSTAT, and programming in Python or R
 Experience with developing and deploying descriptive, predictive, and prescriptive models.
 Experience with a variety of algorithms, including AI/ML and deep learning is required
Johnson & Johnson announced plans to separate our Consumer Health business to create a new publicly traded company. The process of the planned separation is anticipated to be completed within 24 months, and it will be subject to legal requirements including consultation with works councils and other employee representative bodies, as required, and other customary conditions and approvals. Should you accept this position, it is anticipated that, following conclusion of the transaction, you would be an employee of a new entity within New Consumer Health and your employment would be governed by New Consumer Health’s employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by New Consumer Health at an appropriate time and subject to any necessary consultation processes.
At Johnson & Johnson, we’re on a mission to change the trajectory of health for humanity. That starts by creating the world’s healthiest workforce. Through cutting-edge programs and policies, we empower the physical, mental, emotional and financial health of our employees and the ones they love. As such, candidates offered employment must show proof of COVID-19 vaccination or secure an approved accommodation prior to the commencement of employment to support the well-being of our employees, their families and the communities in which we live and work.
Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit   www.careers.jnj.com   (  http://www.careers.jnj.com  ).


Data Scientist Co Op

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Description
At Johnson & Johnson, we use technology and the power of teamwork to discover new ways to prevent and overcome the world’s the most significant healthcare challenges. Our Corporate, Consumer Health, Medical Devices, and Pharmaceutical teams leverage data, real-world insights, and creative minds to make life-changing healthcare products and medicines. We're disrupting outdated healthcare ecosystems and infusing them with transformative ideas to help people thrive throughout every stage of their lives. With a reach of more than a billion people every day, there’s no limit to the impact you can make here. Are you ready to reimagine healthcare?
Here, your career breakthroughs will change the future of health, in all the best ways. And you’ll change, too. You’ll be inspired, and you’ll inspire people across the world to change how they care for themselves and those they love. Amplify your impact. Join us!
Janssen R&D, a member of Johnson & Johnson's Family of Companies is recruiting for a Data Scientist (co-op), located at our PA or NJ sites and also able to work remotely.
The role sits within the Quality Analytics Organization in BioResearch Quality & Compliance (BRQC), a unit of Janssen R&D responsible for quality in clinical trials. It will involve the implementation of descriptive, predictive and prescriptive data analytics. This exciting role will allow you to bring innovative thinking to a team that is fast moving and looking to prototype advanced data analysis techniques.
The scope of data to be analyzed ranges from data about BRQC quality processes, to operations or scientific data from our R&D partners and further to external data from industry and regulators.
Qualifications
 Key Responsibilities  :
 Assist in creating new mechanisms to monitor for quality signals on an ongoing basis using advanced analytics, signal detection, natural language processing, machine learning, deep learning, and time-series analysis
 Engage with diverse business partners to develop innovative trending and modeling capabilities that help improve current processes.
 Bring capability and skills to contextualize quality data into insights that will enable data driven-decision making
 Apply analytical/statistical methods to complex and disparate data sources to deliver actionable insights
 Bring together the critical factors of data, processes, and systems to create insight from information
 Work on a number of data science projects and be given the opportunity to define innovative techniques to analyze data and generate insights
 Work with a team of other data analysts and scientists
 Liaise with members of BRQC to define, conduct and communicate data analytics
 Education:
 Candidates must be enrolled in an accredited college/university pursuing a Bachelor’s, Masters or Ph.D. degree, preferably with a STEM major or area of concentration.
 Experience and Skills:
 Available to work (Part-time or Full-time).
 Legally authorized to work in the United States.
 Highly organized and able to take on multiple responsibilities and keep track of details.
 Have the ability to work individually (independently) as well as on a team.
 Candidates need to be proficient with Microsoft Office, Word, Excel and Power Point, and have strong oral and written communication skills.
 Need programming and/or data and business analysis experience.
 Preferred:
 Prior data science experience, i.e. analyzing real-world (noisy/imperfect/incomplete) datasets and developing algorithms to solve problems on them, is strongly preferred.
 Prior programming experience in a Data Science language (R/Python) is preferred.
 Experience with agile software development is desired.
At Johnson & Johnson, we’re on a mission to change the trajectory of health for humanity. That starts by creating the world’s healthiest workforce. Through cutting-edge programs and policies, we empower the physical, mental, emotional and financial health of our employees and the ones they love. As such, candidates offered employment must show proof of COVID-19 vaccination or secure an approved accommodation prior to the commencement of employment to support the well-being of our employees, their families and the communities in which we live and work.
Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.


Data Scientist

We’re looking for a Senior Data Scientist who’s excited to build new product functionality from start to finish and polish our existing data products. Our team is creating innovative new tools, such as Risk Scoring and Automated Valuation Models, that help our customers understand the post-renovation value of their homes and help the company drive smart decisions.

Our team is focused on crafting a user experience that makes the complex process of financing a renovation accessible and easy to understand. On any given day, we might be working on the interfaces that will help homeowners navigate the process of funding their renovation or the systems that enable our lending partners to offer our products.

What you’ll do at RenoFi

Design and build advanced data products using statistics and ML techniques. These data products serve as a core market differentiator for RenoFi
Mine large datasets and perform analyses for gathering valuable insights and leverage this information to make recommendations that will influence how we make business decisions
Collaborate with multiple departments and use a combination of computer science and applications, modeling, statistics, analytics, and math to solve problems
Extract data from multiple sources
Sift and analyze data from multiple angles, looking for trends that highlight problems or opportunities
Communicate essential findings and insights to leadership
Make recommendations to adapt our existing operational processes and business strategies

What you'll bring to the team

You have professional experience with the real estate market
You have 2+ years of experience applying methods from machine learning and statistics to real-world datasets
You are proficient in implementing different machine learning algorithms
You have experience designing and/or deploying machine learning systems in production
You have experience in spatial and temporal data science techniques
Fluency in Python and familiarity with its tech stack such as NumPy, Pandas, Scikit learn
You have advanced knowledge of SQL
You write code that follows best practices
You are eager to ship products to get user feedback as soon as possible
Knowledge of GCP and cloud computing in general

We are committed to hiring and cultivating a diverse team. If you are uncertain about whether you meet our requirements, please apply anyway!

ABOUT US:

The demand for home renovations has never been stronger, yet, it's surprisingly difficult for a new homeowner to renovate. It can take a decade to build up enough home equity and savings to pay for a major renovation. As a result, recent homeowners do a lot of financially-suboptimal things to compensate like borrow from their 401k, rack up credit card debt, and use high-interest personal loans. Or they just live unhappily for years in a home that doesn't meet their family's needs.

But by completing a major renovation, homeowners are increasing the value of their home. Professional real estate investors leverage this After Renovation Value (ARV) to roll the increase in value into new properties all the time. But there hasn't been a great way for homeowners to take advantage of this. If homeowners had an ability to borrow against the ARV, they could increase their borrowing power up to 10x.

To meet this need, RenoFi created a platform that enables homeowners to borrow funds from RenoFi approved lenders in the form of the first home equity loan purpose-built for renovations! Unlike standard home equity loans, RenoFi Loans use the value of your home post-renovation which lets you borrow the most money at the best possible terms.  RenoFi is creating a full suite of renovation loan products to better suit the needs of today’s homeowners!

For homeowners, RenoFi makes it possible to renovate years earlier than might be otherwise feasible. For contractors, we empower the financing of renovations at the point of sale, reducing instances of scope reduction, and ensuring prompt payment. Our lender partners, most often credit unions, rely on RenoFi's platform to generate loans, create efficiencies, and grow membership. The lenders pay RenoFi for the new loans, which allows us to offer our services to homeowners for free. RenoFi is truly a win-win-win for everyone involved.

RenoFi is backed by some of the best startup investors in the world, including First Round Capital, Comcast Ventures, and Canaan Partners.

WE ARE A GLOBALLY DISTRIBUTED TEAM

RenoFi has been built from the start as a fully distributed team with an intentional focus on growing a strong team and culture that spans timezones and nationalities. Here's one fun example!

Please highlight any prior experience working remotely when applying. US or GMT-adjacent timezones will be prioritized.

RenoFi offers competitive cash and equity compensation. Some benefit offerings will vary from country to country. In the United States, we offer competitive health and retirement plans. All staff across the globe enjoy a flexible vacation policy.

READ MORE ABOUT RENOFI

Our post announcing our funding: https://www.renofi.com/blog/financing-should-not-be-the-hardest-part-of-renovating/

Blog post by our lead investor announcing his investment in RenoFi: https://www.canaan.com/latest/brendan-dickinson-announcing-our-investment-in-renofi

National coverage by Housing Wire: https://www.housingwire.com/articles/renofi-raises-6-4-million-to-help-lenders-offer-home-renovation-loans/

#LI-Remote


Data Scientist

At phData, we build innovative data solutions that transform the way that our clients conduct business.
Our work is challenging and our standards are high, but you'll be set up for success with tooling, training, and colleagues who are among the brightest minds in the field. You will be working with the latest cloud-native and distributed data platforms on the market. Since the data and machine learning industry changes quickly, you have the opportunity to continuously learn. Our strategy is to remain innovative and cutting edge, while also ensuring our work is practical and unlocks real business value for our customers.
While we're growing extremely fast, we maintain a casual, small business work environment. We hire top performers and allow them the autonomy to deliver results. Our award winning workplace fosters learning, creativity and teamwork.

2022 Snowflake Partner of the Year
2022 Best Places to Work
Best Places to Work (2017, 2018, 2019, 2020, 2021)
Inc. 5000 Fastest Growing US Companies (2019, 2020, 2021)
Minneapolis/St. Paul Business Journal’s Fast 50 (2021)
Snowflake Elite, Snowpark Accelerated & Snowflake Partner of the Year (2020 & 2021)

We are looking for a Data Scientist who can apply advanced analytics concepts to real-world business problems for sustainable and cutting-edge solutions.
Responsibilities:

Work closely with client stakeholders to design, build, and deploy predictive models that drive business value
Wrangle and analyze large datasets to unlock insights
Drive business transformation leveraging statistics, artificial intelligence, machine learning and deep learning
Explain and review model results with clients and iterate based on feedback, including by applying model-explainability techniques to describe complex models
Work closely with cross-functional teams to manage business and technical requirements for a successful solution
Create documentation and blog posts to share knowledge with clients and the general data science community

Qualifications:

Required:

Bachelor’s or Master’s degree in a related field, ideally in data science, mathematics, economics, statistics, engineering, or information management.
2+ years performing advanced modeling techniques in a business environment
2+ years of demonstrated results working in complex data environments including the use of simulation and modeling tools, such as R, Python, Spark, SQL.
Fluency in Python, R or equivalent
Knowledge of advanced statistical techniques and concepts, such as regression, properties of distribution, statistical tests and proper usage.
Working knowledge of a variety of machine learning techniques, such as clustering, decision tree learning, artificial neural networks, and their real-world advantages and drawbacks.
Experience analyzing, evaluating, and creating data architectures.
Exceptional customer facing skills, including but not limited to communication skills and project management skills.
Strong problem solving skills with a passion for learning and mastering new technologies, techniques, and procedures.

Bonus

Two or more years of experience in consulting.
Working knowledge of cloud technologies like AWS, Azure and GCP
Experience with analytical tooling such as Dataiku, Alteryx, Knime, Tableau and Power BI
Graduate degree (Masters, PhD)

Why phData? We offer:

Enjoy our Remote-First Workplace and award-winning culture which prizes autonomy, creativity, and diversity
Competitive compensation, generous vacation (4 weeks PTO + 10 paid holidays) and excellent benefits including health/dental/vision and matching 401k
Other cool perks include paid certifications, personal development allowance and additional compensation for creating company approved content (dashboards, blogs, videos, whitepapers, etc.)

#LI-Remote


Data Scientist

Join us on the tech team of an extremely fast-growing, technology-driven startup that's making effective skincare accessible to everyone.

Our mission is simple: to make personalized skincare accessible and convenient for all. Awarded one of Inc's Best Workplaces 2019 and 2020 Forbes #8 Startup Company, Curology is a leader in direct-to-consumer e-commerce and has been featured in Vogue, Allure, Harper’s Bazaar, and Business Insider.

Curology is a technology company building the future of skincare through personalized prescription treatment. We believe that dermatology should be accessible to everyone—great skin shouldn't be a luxury, but a fact of life.

As a Data Scientist, you will be focusing on measuring and optimizing our Marketing investments across Curology and Agency brands. You will work with business teams, data engineering, data analyst, and product teams to turn data science ML models into product solutions. Prior experience with exposure to acquiring users in Direct to Consumer Brands cross-consumer products is a plus. This role will include projects ranging from MMM, Propensity models, Customer Profiling & Segmentation, Clustering, Incrementality, Attribution, A/B Testing and Design, ad hoc advanced analysis, etc.

In this role you will:

Work with business partners and cross-functional tech partners to deeply understand data, customer lifecycle touch points, business opportunities, and core business KPIs to continuously build test, validate and deploy ML models and advanced analytics techniques
Support the growth marketing team on MMM, incrementality testing, and customer segmentation to drive higher LTV/CAC ratios
Work closely with the Growth team on forecasting Marketing $ allocation based on channel response curves and ROI
Carry out rigorous model validation and model tuning/optimization as part of the natural model life-cycle
Design, train and apply statistics, mathematical models, and machine learning techniques to create scalable solutions for predictive learning, forecasting, and optimization to drive business growth
Own the full lifecycle of model development from ideation and data exploration, algorithm design and testing, algorithm development and deployment, to algorithm monitoring and tuning in production
Innovate with new approaches, staying abreast of current research in the field and the broader machine-learning community

You will be successful if you have:

A passion for data including problem-solving, critical thinking, and diving into data in order to understand specific areas of the business better than anyone else and become an expert in their domain and sought out by business partners for that expertise.
Sharp business judgment and the ability to see past the noise and are able to work independently in an unstructured environment
A strong communicator, attentive listener, and compelling explainer with the ability to focus on a problem, ask insightful questions, and gain expertise quickly
A curious nature and the drive to dig into data insights and proactively answer the "why" questions
You have 4+ years of experience in machine learning both on supervised and unsupervised algorithms
You have strong expertise in SQL, Python, R or similar programming languages Java, Scala
Education: Strongly prefer, MS/Ph.D. In CS, Math or Statistics
Nice to have:
Previous experience in digital media and marketing is a plus

You'll love working at Curology because...

Amazing team culture and environment
Awarded Great Place To Work & Inc.’s Best Workplace
Competitive salary and equity options
Unlimited, flexible PTO for exempt employees
Comprehensive benefits: Medical, dental and vision insurance are covered 90%+ for employees; flexible spending account; 401k
Paid maternity and paternity leave
Free subscription to Curology!
Company-sponsored happy hours and outings

#LI-CS1
#LI-Remote

Curology encourages applications from people of all races, religions, national origins, genders, sexual orientations, gender identities, gender expressions and ages, as well as veterans and individuals with disabilities. Notice to Applicants under the CCPA.


Data Scientist Marketing

A bit about us:

We’re on a mission to change healthcare — how it’s paid for, delivered, experienced. We want to put people center stage, not process or profit. We are guided by a deep belief that every person on Medicare should be treated like we would treat a member of our own family: with loving care and a profound commitment to their health and well-being.

Why Devoted:
Make a difference... a big difference. You will have the opportunity, in a unique and dynamic culture, to be a part of something incredibly meaningful. We’re a disruptive startup with an inspiring mission. Learn and grow alongside our world-class team of healthcare, technology, and data leaders, dedicated to building a health plan and clinical services that care for everyone like they were our own mothers or fathers. Our team and board members have decades of experience in health care entrepreneurship, data, technology, services, and policy. With their support, we look forward to building a health plan and clinical services that will give seniors easy access to the high-quality care they deserve.

A bit about this role:

The Principal Data Scientist, Marketing will serve as a crucial partner to our Operational teams, using data to answer important questions about how to grow the business; building robust data pipelines that underpin our products and operations; and fostering a data-driven culture by using their technical expertise to identify opportunities to improve key outcomes and operational efficiency.  They will report into our Data Science team, and will work alongside Product Managers, Software Engineers, and Business Leads to solve key challenges for the company.

In this role, you will power the insights that enable the marketing team to intelligently engage with our prospects, and to ensure we’re living up to our mission of caring for them like family. You will become an expert in all things related to Marketing, driving key initiatives such as how to optimize our multi-million dollar advertising budget. This is a high profile role that is critical to Devoted Health’s success and will involve exciting data initiatives such as predictive modeling and experimental design.
Healthcare experience or previous experience driving Data Science initiatives for a Marketing team is a PLUS.

Responsibilities will include:

Working closely with key business stakeholders to meet the analytical needs of the business, and providing insight in a rapid, iterative, and collaborative process
Developing thoughtful reports and dashboards that help operations teams improve their business decision-making
Identifying patterns in the analyses you conduct, and using those patterns to improve the speed and accuracy of our processes
Communicating results to an audience of mixed technical backgrounds

Required skills and experience:

Ability to work in a fast-paced startup environment
6+ years of individual technical contributor experience
3+ years of working on Data Science initiatives for a Marketing or Growth team
Experience collaborating effectively with stakeholdersAdvanced SQL skills
Experience with Python or R
Equally comfortable building dashboards and reports for KPIs, and doing deep-dive statistical analysis such as predictive modeling and experimental design to influence the business.

If you love running towards complex challenges and transforming them into solutions, if you want to make a potentially huge impact on many lives, and if you are looking for a disruptive startup with an inspiring and talented team, Devoted Health may be the place for you!  If you lack a specific credential for this position but believe that your strengths and life experiences will propel our mission, we would love to hear from you.

Devoted is an equal opportunity employer.  We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted’s Code of Conduct, our company values and the way we do business.

As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.

COVID-19 Vaccination Requirement: Where permitted by applicable law, candidates must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered. The Company will provide reasonable accommodations to qualified employees with disabilities or for a sincerely held religious belief, practice, or observance.

#LI-JH1
#LI-Remote

If you love running towards complex challenges and transforming them into solutions, if you want to make a potentially huge impact on many lives, and if you are looking for a disruptive startup with an inspiring and talented team, Devoted Health may be the place for you!  If you lack a specific credential for this position but believe that your strengths and life experiences will propel our mission, we would love to hear from you.

Devoted is an equal opportunity employer.  We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted’s Code of Conduct, our company values and the way we do business.

As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.

COVID-19 Vaccination Requirement: Where permitted by applicable law, candidates must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered. The Company will provide reasonable accommodations to qualified employees with disabilities or for a sincerely held religious belief, practice, or observance.


Senior Data Scientist

Ordergroove is looking for an extraordinarily talented, passionate and naturally curious person to help us reinvent how people shop by building machine learning-based recommendations systems using mass amounts of rich data to predict user behavior.
Our team is composed of problem-solvers who get excited about pushing the boundaries of what we can achieve, love learning and thrive in a fast-paced, collaborative environment.
The skinny

You will research and develop new ways that use our mass data to build long-lasting relationships for some of the biggest brands in the world, impacting the life's of millions of users
Evaluate and test the tradeoffs between competing machine learning models, methodologies and architectures
Collaborate daily with the data engineering team, product teams and other functional areas

The specs

3 years of experience in a data science role helping companies innovate products forward using machine learning
Excellent knowledge of Machine Learning/Statistical Modeling & Testing
Professional-level Python knowledge
Solid quantitative background, MA/MS in statistics, mathematics, computer science, economics, or another quantitative field is required
Passionate about leveraging the best of breed technology and eager to learn new skills
You are motivated and prepared to work in a fast-paced startup environment

Pluses:

Experience with testing tools such as R
Experience working with large data sets using tools such as Spark, BigQuery, Hadoop, etc.
Previous e-commerce experience
Start-up and SaaS experience highly preferred

About Ordergroove:

Raised $50M from top-notch investors
Remote-first team with members all over the world and an office in NYC that allows for in-person meet-ups if desired
Hundreds of customers including Honest Company, IL MAKIAGE, Petsmart, Walmart, L’Oreal, Unilever, Peet’s Coffee, KIND, Love Wellness, and Tula

In 2000, subscriptions transformed the software world with SaaS. In 2021, subscriptions are transforming the retail and DTC world as the fastest-growing segment of commerce.
Ordergroove’s SaaS product enables subscription experiences for hundreds of brands including The Honest Company, IL MAKIAGE, KIND Snacks, Peet's Coffee, L'Oreal, and Home Depot, shifting consumer interactions from one-and-done transactions to frictionless recurring revenue relationships. Via partnerships with leading eCommerce platforms like Shopify, Salesforce, Adobe Magento, and BigCommerce, Ordergroove's omnichannel product coupled with machine learning has processed billions of dollars in subscription volume for tens of millions of consumers.
Recently named one of the Best Companies to Work For in New York for the third year in a row, our values celebrate collaboration, different perspectives, and curiosity with the goal of getting to the right answer, no matter who came up with it. At Ordergroove we are committed to creating a welcoming and supportive environment for all people. We encourage people with different backgrounds and experiences to join our growing team so that we gain different perspectives and build the best team possible. We demand the best of ourselves and each other and never miss an opportunity to celebrate our successes.
With a fully flexible work from anywhere culture, staying connected and supporting each other are always top of mind. We build our tight-knit community through small group events like trivia night, cooking classes, and book clubs. We encourage cross-functional relationships through virtual coffees and we stay close to the business through weekly team updates and quarterly all-hands meetings.
At Ordergroove, we focus on flexibility and empowering our team to make the right decisions for themselves. We have flexible PTO (you take vacation when you need it, not when you have earned the hours), a new work-from-anywhere policy (totally remote anywhere in the US, or you can go into the NYC office as much as you would like), and an annual personal development budget that you use for what matters to you (wellness, career development, productivity at home, etc). And of course, that is on top of the basics like competitive compensation (including stock options) and incredible, affordable benefits. Come join our amazing team while we enable the fastest-growing segment of commerce that makes life easier for millions of consumers every day!


Senior Data Scientist

About Us
Founded in 2005 as the first peer-to-peer marketplace lending platform in the U.S., Prosper was built on a simple idea: connect people who want to borrow money with those who want to invest. Since inception, Prosper has helped more than a million people gain access to affordable credit with over $20 billion in loans originated through its platform. Our mission is to help our customers advance their financial well-being through a variety of products including personal loans, home equity lines of credit (HELOC) and the upcoming launch of our first credit card product. Our diverse culture rewards accountability and cross functional teamwork because we believe this encourages innovative thinking and helps us deliver on our mission.

We’re on a mission to hire the very best, and we are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere. It is important to us that every hire connects with our vision, mission, and core values. Join a leading fintech company that’s democratizing finance for all!

Our Values
Diversity expands opportunities
Collaboration creates better solutions
Curiosity fuels our innovation
Integrity defines all our relationships
Excellence leads to longevity
Simplicity guides our user experience
Accountability at all levels drives results

COVID-19 Vaccination Policy
Prosper is continuing to grow our team during the COVID-19 pandemic, conducting fully remote hiring and onboarding processes. Our philosophy as a business is to approach the COVID-19 situation with empathy and urgency. Prosper’s top priority is the health and safety of our employees and of the communities we serve, including our customers, partners, prospects, and candidates. In accordance with this priority, along with our legal responsibility to provide and maintain a workplace that is safe and free of known hazards, we have adopted a COVID-19 Vaccination Policy which requires all of our employees to receive vaccinations, unless they have an approved accommodation.

www.prosper.com
Our Story & Team  //   Our Blog

The Role
We are seeking a Senior Data Scientist within the Product and Conversion Analytics Organization focusing on user behavior, customer retention, innovation, market campaign modeling, and new product development. The successful candidate is an immersive data scientist with a passion for seeking truth and driving Prosper's growth and engagement strategy. You must be able to work both independently and in a collaborative environment with acute attention to detail.

Problems You Will Solve

Drive a data science pipeline to explore unchartered areas both with existing and new data sets; a concept critical to our future success as a company.
Partner with Product Managers to create, develop and integrate model development into the product roadmap trajectory.
Present findings, implementations and documentation to Prosper’s analytics community and to the company as a whole.
Keen focus on the company objectives:  integrate closely with business units to develop analysis and predictive modeling to drive critical organizational decisions and developments.
Build and refine data structure from the ground up with a Data Engineering Team.
Actively participate in industry events on data science, analytics or modern computing techniques.

About You

Bachelor’s degree in computer science, statistics or mathematics
Masters or advanced degree / coursework preferred but not required
3+ years’ experience in a data analytics, predictive analytics or data science role.
Expert level knowledge of any two of SQL / Python / R or other mathematical programming languages.
Proven experience with feature engineering, statistical modeling techniques and/or ML techniques.
Demonstrated experience working with new and unstructured data sets.
Ability to present data cross functionally to a wide range of stakeholders, both internally and externally.
Ability to work in a fast paced, ever changing, start-up environment
Ability to drive solutions to complex problems quickly and successfully, both individually and as part of a team effort.

What We Offer

The opportunity to collaborate with a team of creative, fun, and driven colleagues on products that have an immediate and significant impact on people's lives
The opportunity to work in a fast-paced environment with experienced industry leaders
Flexible time off, comprehensive health coverage, competitive salary, 401(k) employer match, paid parental leave
Wellness benefits including access to mental health resources, virtual HIIT and yoga workouts
A bevy of other perks including Udemy access, childcare assistance, pet insurance discounts, legal assistance, and additional discounts through Perkspot
The ability to work remotely in the United States

#LI-Remote

Applicants have rights under Federal Employment Laws.
Family & Medical Leave Act (FMLA)
Equal Employment Opportunity (EEO)
Employee Polygraph Protection Act (EPPA)

California applicants: please click here to view our California Consumer Privacy Act (“CCPA”) Notice for Applicants, which describes your rights under the CCPA: https://www.prosper.com/plp/legal/privacy-notice-for-applicants/

At Prosper, we're looking for people with passion, integrity, and a hunger to learn. We encourage you to apply even if your experience doesn't precisely match the job description. Your unique skill set and diverse perspective will stand out and set you apart from other candidates. Prosper thrives with people who think outside of the box and aren't afraid to challenge the status quo. We invite you to join us on our mission to advance financial well-being.

Prosper is committed to an inclusive and diverse workplace. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law, including the San Francisco Fair Chance Ordinance. Prosper will consider for employment qualified applicants who are non-US citizens and will provide green card sponsorship.


Senior Data Scientist

Splash is a leading digital lending platform that helps borrowers easily shop and compare financial products from a Splash-powered network of lenders. By bringing credit unions and banks of all sizes into one shopping experience, and utilizing our proprietary automated underwriting platform, Splash aims to help people save thousands of dollars in interest payments.

Splash has raised over $60 million in venture capital, recently completing a $44 million Series B round from partners of DST Global, Citi Ventures, Detroit Venture Partners, CMFG Ventures and Northwestern Mutual Future Ventures. Over the past 18 months, Splash has tripled in size to around 170 people and we’re looking for incredibly talented and passionate team members to join in our mission to make people more powerful than their debt.

Splash Financial is seeking an experienced data scientist to join its newly founded Data Science team as its new Senior Data Scientist. As a Senior Data Scientist, you will be working with Chief Data Science Officer to lay the foundation of cutting-edge AI/ML capabilities for the company.

About the Role
If you’re at a point in your career where you’re ready for the challenge and excitement of building something from the ground up, this could be the role for you.

We’re looking for an experienced self-starter who is not afraid of taking bold moves to build cutting-edge AI/ML capabilities. This is a great opportunity for one who’s looking to shape Splash’s AI/ML future.  Details include:

·         Co-lead with Chief Data Science Officer to stand up AI/ML capabilities, as well as develop and execute AI/ML roadmap: From data ingestion to feature store, from feature engineering to model development, from model deployment to model monitoring.

·         Collaborate with Data team to identify the data and their organization needed for AI/ML development throughout customer lifecycle.

·         Collaborate with other business functions to identify AI/ML opportunities in various areas.

·         Collaborate with Technology team to identify the process, including control process, to deploy AI/ML models.

About You
You can choose to stay where you are and work remotely.  Being remote is not an issue for us. You may be asked to travel to our headquarter in Cleveland, OH from time to time.

·         6+ years of relevant professional experience in data science; prior AI/ML experience in fintech or lending companies is a big plus.

·         Master’s or PhD degree in quantitative fields.

·         Exceptional knowledge in various AI/ML algorithms, including traditional algorithms like logistic and linear regressions.

·         Exceptional python knowledge and popular AI/ML libraries, like sklearn, matplotlib, neural nets, tensorflow, etc. Familiarity or prior experience of using Amazon Sagemaker is a plus.

·         Creative, bold and not afraid of taking charge, while still being an open mind.

·         Strong communication skills; Able to explain complex, highly technical topics into basic English.

·         A data person; not only not afraid of facing the data but also love to be immersed in vast amount of data.

·         Proficient in setting up APIs and PMML-based implementation.

Employment at Splash is based on individual merit. Opportunities are open to all, without regard to race, color, religion, sex, creed, age, handicap, national origin, ancestry, military status, veteran status, medical condition, marital status, sexual orientation, affectional preference, or other irrelevant factors. Splash is an equal opportunity employer.


Lead Data Scientist Machine Learning

Roofstock is the leading marketplace for investing in single-family rental homes. Our mission is to make real estate investing radically accessible, cost effective and simple. We want to use technology to transform the way real estate is bought and sold and make real estate investing as simple as investing in stocks. Simply put, we are passionate about helping our customers build wealth through real estate.

Roofstock has been recognized as a Great Place to Work® and was recently named to the Forbes Fintech 50 and the Red Herring 100 lists of most innovative companies. Roofstock has raised over $135M to date and have offices across the US in Oakland, CA, Dallas, TX and New York, NY with approximately 500 people and is growing rapidly. Check out our reviews and see why our employees love working here!

We've built an amazing culture where everyone has a voice. We're nice. We get things done. We have fun. We believe in work-life balance (yes, you can really take a vacation). And our values are pretty B.A.D.A.S.S.

Be customer obsessed.

Act like an owner, because you are one.

Don't be afraid to break things in the pursuit of better.

All of us are empowered to do the right thing.

Stay curious and create what's next. Fast.

Seriously. No jerks.

The Advanced Machine Learning team builds scalable state-of-the-art deep learning and distributed ml systems. You will lead cross-functional teams to design, develop, optimize, and productionize best in class machine learning tools and put Roofstock ahead of the competition.  As an early hire in the advanced ML group, you will be responsible for architecting and implement projects that augment human intelligence such as image and text analysis, big data record linkage and clustering, deep learning recommendation engines, and more.  Thus, we are looking for someone with a solid experience in developing commercial large-scale machine learning systems.

What you will do:

Collaborate across teams to architect, build, and deploy machine learning solutions in distributed machine learning frameworks such as Spark
Take ownership of and drive technical projects to completion: anticipating roadblocks, developing strategies to mitigate risk, and making trade-off decisions between different modeling approaches and between short-term results and long-term goals
Translate ambiguous business needs into structured problem statements and testable hypotheses
Provide constructive and actionable feedback to team members; lead the adoption of industry standards and best practices within the team
Mentor junior colleagues and evangelize machine learning/statistical literacy in the organization and beyond

What you bring with you:

MS or PhD in computer science/engineering or equivalent
5+ years of hands-on experience in designing, building, and deploying to production distributed and deep learning frameworks and libraries such as Keras, PyTorch, Horovod, Ludwig, Ray, MXNet, bytePS. Bonus: proficiency in one of the top three cloud computing platforms.
4+ years of experience building machine learning models in python in a commercial setting; experience in another relevant language like Scala a plus
Strong fundamentals in statistics, and probability; ability to take a broad challenge and break it down into solvable components
Demonstrated ability to work independently, rapidly prototyping and testing new ideas
Demonstrated communication and collaboration skills to effectively present, explain, influence, and advise within cross-functional teams
Drive to solve problems, meet deadlines, and build whatever is necessary along the way

#LI-remote
#INDDS

For our regular full-time roles we offer a great benefits package!
Competitive compensation
Medical, Vision and Dental for you (95%) and your dependents (65%)
401k
Flexible time off and sick days
Supplemental bonus to support "work from home" office needs
Equity incentives to give you a stake in the Company’s future
We are an upbeat and collaborative work culture
Virtual company-sponsored outings

Roofstock is an equal opportunity employer. In keeping with the values of Roofstock, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.


Senior Data Scientist

Roofstock is the leading marketplace for investing in single-family rental homes. Our mission is to make real estate investing radically accessible, cost effective and simple. We want to use technology to transform the way real estate is bought and sold and make real estate investing as simple as investing in stocks. Simply put, we are passionate about helping our customers build wealth through real estate.

Roofstock has been recognized as a Great Place to Work® and was recently named to the Forbes Fintech 50 and the Red Herring 100 lists of most innovative companies. Roofstock has raised over $135M to date and have offices across the US in Oakland, CA, Dallas, TX and New York, NY with approximately 500 people and is growing rapidly. Check out our reviews and see why our employees love working here!

We've built an amazing culture where everyone has a voice. We're nice. We get things done. We have fun. We believe in work-life balance (yes, you can really take a vacation). And our values are pretty B.A.D.A.S.S.

Be customer obsessed.

Act like an owner, because you are one.

Don't be afraid to break things in the pursuit of better.

All of us are empowered to do the right thing.

Stay curious and create what's next. Fast.

Seriously. No jerks.

As a Senior Data Scientist you will develop models and write code that solves a diverse set of business problems. You will work closely with product and other business teams to solve challenges across the company in a high-visibility role. This is an excellent opportunity to join an established but small and quickly growing company working on a wide range of projects with talented data engineers, data analysts, and other data scientists in an integrated Technology organization.

What you will do:

Build conventional statistical/econometric models for inference, and prediction focused machine learning systems that address:
Buyer segmentation, propensity modeling, & marketing automation
NLP and image recognition to extract signal from property listings
Property classification and ranking
Property recommendation, matching, and personalization
Economic modeling of property valuations, capital expenses, repair, maintenance, and operational expenses like tenant churn
Data mining for opportunity qualification
Work with structured and unstructured datasets
Write robust well-documented code, operating on a modern cloud stack (AWS and Azure)

What you bring with you:

Masters or PhD in statistics, computer science, economics, physical or quantitative social science, or a similar quantitative/computational field
5+ years of industry experience (4+ for MA/MS) shipping advanced statistical/ML models
Proficient in R and/or Python and their related data science ecosystems; experience with other languages/packages (e.g. Matlab, JMP, Stata, etc.) a plus.
Fluency in the language (both words and equations) of statistics, econometrics, and machine learning, and a clear ability to translate technical points into everyday language for general audiences
Expertise in a significant mix of the following estimation methodologies: OLS/GLS/MLE and regularization of same; time series and panel techniques; design of experiments; censored, truncated and discrete data methods; method of moments; nonparametric and semiparametric estimation; model diagnostics; machine learning modeling (SVM’s, neural nets, boosting, random forests, bagging, and CART); Bayesian estimation; geographic and spatial modeling; and, most importantly, a clear understanding of how to match the technique to the data and the business problem.
Engineering skills: ability to write quality code that runs on servers.
Ability to work independently, rapidly prototyping and testing new ideas
Drive to solve problems, meet deadlines, and build whatever is necessary along the way
Experience understanding the strengths and weaknesses of different modeling approaches and can effectively reason about when to apply different combinations and iterate
Expert communication, facilitation, and collaboration skills to effectively present, explain, influence, and advise within cross-functional teams

#LI-Remote
#INDDS

For our regular full-time roles we offer a great benefits package!
Competitive compensation
Medical, Vision and Dental for you (95%) and your dependents (65%)
401k
Flexible time off and sick days
Supplemental bonus to support "work from home" office needs
Equity incentives to give you a stake in the Company’s future
We are an upbeat and collaborative work culture
Virtual company-sponsored outings

Roofstock is an equal opportunity employer. In keeping with the values of Roofstock, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.


Senior Data Scientist

About the job:
We’re looking for a Senior Data Scientist to build the models that power a key new focus area for KeepTruckin.  As a member of our team you’ll help frame the problems, build models and products that win customers, and leverage machine learning at a massive scale to solidify KeepTruckin’s technology lead in the connected fleet management space.
You’ll embed yourself deep in the world of trucking and help understand the forces that govern it.  Working with geospatial, transportation, and economic data, you’ll help optimize the way freight moves throughout North America.
Responsibilities:

Build, improve, and maintain machine learning models
Apply statistical models and quantitative analysis on large datasets to measure and identify areas for improvement/optimization in the product
Lead the effort for collection of new data and refinement of existing data sources
Identify and help implement tools to analyze this data effectively
Educate and steer the organization towards adopting a more data-driven approach

Qualifications:

Bachelor's degree or higher in a quantitative field, e.g. Computer Science, Math, Economics, or Statistics
5+ years experience in data science, machine learning, and data analysis
Expertise in applied probability and statistics
Deep understanding of machine learning techniques and algorithms
Expertise in data-oriented programming (e.g. SQL) and statistical programming (e.g., Python, R). PySpark experience is a big plus

KeepTruckin is a rapidly growing startup headquartered in San Francisco. We offer fantastic benefits, a phenomenal office culture, unlimited PTO, and a stocked kitchen with catered lunches daily.
Please do not let an arrest or conviction record prevent you from applying for employment at KT. KT considers qualified applicants with arrest and conviction records.


Data Scientist Deliverability Compliance

The Deliverability and Compliance team is in charge of protecting Klaviyo from phishers and other bad actors that want to abuse the platform. It’s also in charge of making sure the legitimate content gets through to recipients. Data science is being used to guide those processes and add intelligence to the way we vet accounts and content on the platform. You’ll sit alongside software engineers and product managers to directly improve the systems we have in production.
Klaviyo is growing fast and we have openings for all skill levels across data science. Listen to our data science team podcast at https://medium.com/klaviyo-data-science and learn more about our technical culture at https://klaviyo.tech
Our data science team works on two types of projects:

Building features. We take ideas from inception to new machine learning-powered features that ship to our hundreds of thousands of users. You’ll be central to creating features that help our customers learn and grow from their data.

Support the business. We perform analyses, build models, and run experiments to make the Klaviyo business more efficient. You’ll work directly with stakeholders within the company and contribute directly to business processes at Klaviyo.

We’re looking for people who are strong at math, modeling, experimental design, and putting themselves in the shoes of customers. You should be interested in all aspects of what it takes to go from idea to generally available feature or internal solution, even if your strengths and experience today fall primarily in one area.
The ideal candidate has a background in data science, statistics and machine learning and has done work ranging from exploratory analysis to training and deploying models. We use a wide variety of data mining and machine learning algorithms. The right candidate will have both a solid fundamental understanding of and practical experience with at least a few modeling and machine learning techniques.
You should have experience presenting data to help people make better decisions. We’re focused on shipping early and often. We prefer iterative solutions that are incrementally better to the perfect solution.
How you will make a difference:

Build data science-powered features that our customers love and help them grow faster. Examples of features we’ve added to Klaviyo: A/B testing, personalized product recommendations, and creative assistance.
Use data science to help Klaviyo grow faster. This includes building smart algorithms to automate processes that are currently manual, performing analyses to help our internal teams know how to best target their resources, and building predictive models to better understand our customers and business.
Analyze large data sets (we’re collecting billions of individual actions every month).

Who you are:

Possess a strong fundamental understanding of  at least some machine learning algorithms (e.g. regressions, decision trees, k-means clustering, neural networks).
Capable of analyzing data and making rigorous statements about what can or cannot be concluded.
Know how to  design and implement model performance/validation assessments.
Have a background in statistics and understand different distributions and the conditions under which they’re valid.
Know how to code and have used data science tools and packages.
Have demonstrated a measurable impact based on the models you’ve created. It’s not always easy getting a model correct and we love talking about places we got stuck and working as a team to think through ideas that could unblock us.
Have a desire to ship features powered by data science (in other words, you’re excited by both upfront research and actually getting models into production at cloud scale); OR
Have a desire to work directly with business stakeholders to create tools that will provide insight and make them more efficient.
Bachelor’s or advanced degree in statistics, applied mathematics, computer science or other relevant quantitative discipline, or equivalent industry experience.


Principal Data Scientist

Research shows that women and underrepresented groups only apply to jobs only if they think they meet 100% of the qualifications on a job description. IMO is committed to considering all candidates even if you don’t think you meet 100% of the qualifications listed. We look forward to receiving your application!
Work that is meaningful. A job that has impact. Colleagues that inspire. That’s what you’ll find at Intelligent Medical Objects (IMO), a growing health IT company creating clinical terminology and insights solutions that are used by more than 500,000 US physicians and 4,500 US hospitals to power better patient care and support meaningful analytics.
At IMO, a core team of clinicians, software developers, and data scientists combine computer science and medical expertise to help patients and healthcare professionals access high quality health information quickly and easily to improve total patient health. We are currently in need of aPrincipal Data Scientist to join this team! The ideal candidate will be intricately involved in collaborating across the enterprise, running analytical experiments in a methodical manner, and will regularly evaluate alternate models via theoretical approaches. This is the perfect opportunity for the successful candidate to become a part of an innovative and energetic team that develops analysis tools which will influence both our products and clients.
Join our growing Software Engineering department as aPrincipal Data Scientist to help design, create, and support high quality solutions that support 80% of US clinicians and build the application of Data Science within IMO!
Responsibilities
A thorough understanding of data science, analysis, and software engineering principles and the ability to mentor data scientists. Collaborate with both management and software development teams to ensure the right solution is deployed in the right way. Facilitate the creation of strategic department-level initiatives. Establishes and improve on the department’s technical standards, mentors the department on standards, and ensures alignment with architectural direction. Leverages machine learning and data mining techniques. Combines data extraction, preparation, and cleaning with model training and evaluation. Designs, develops, and implements programs, processes, and systems to generate actionable insights and drive business decisions. Develops and codes software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources in a Production environment. Interprets and communicates insights and findings from analysis and experiments for a multi-department audience. Supports organizational decisions with well-understood and actionable insights, models, and artifacts. Implements advanced statistical and predictive modeling techniques, focusing on clear algorithmic methods, models, and visualizations. Stays current on data science and analytics tools, techniques, and practices.
Requirements
Master’s degree in Math, Statistics, Data Science, Computer Science, or a related field; PhD preferred. Strong experience building machine learning models that have been deployed to production and adopted. Demonstrated experience deploying, maintaining, versioning, and A/B testing machine learning models. Demonstrated experience working with cloud platforms Experience with graph databases  Demonstrated experience and skill developing and deploying full-stack solutions in Python including: Experience with Spark, pySpark, Experience with deep learning, NLP, TensorFlow and TensorFlow Serving. Experience with, and the ability to follow standardized development practices and tools, including TFS/GIT, code standards, and process standards. Experience with CI/CD tools or environments. Demonstrated proficiency writing unit tests using standard unit test frameworks. The ability to understand and create process documentation. Advanced knowledge of statistical techniques, concepts, methods, and approaches, and experience with their application. Proficiency and comfort using multivariate calculus and linear algebra.
IMO provides visa sponsorship opportunities. Please don't hesitate to apply if you meet all the qualifications for this position and require visa sponsorship.
#LI-PL1 #LI-Remote
At IMO, we celebrate diversity and are committed to creating an inclusive environment for all employees. IMO is proud to be an equal opportunity workplace and is an affirmative action employer.
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Senior Data Science Manager

We’re Coinbase. We’re the world’s most trusted way to join the crypto revolution, serving more than 89 million accounts in more than 100 countries.
Our mission is to increase economic freedom around the world, and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web 3.0 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those people who always lead the group project? That’s us.
There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a culture like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people who are excited to learn about and live crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all over the world.
Ready to #LiveCrypto? Who you are:
You’ve got positive energy. You’re optimistic about the future and determined to get there.
You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0.
You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow.
You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job.
You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission.
You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone.
What you’ll be doing (ie. job duties):
Manage a team of data scientists partnering with a cross functional team of engineers, designers and product managers who are building Coinbase’s new NFT marketplace, our GiveCrypto charitable offerings, our USDC stablecoin products and our Custodial products for institutional investors.
Help set goals and metrics to guide and prioritize product roadmaps
Design experiments to measure the impact of new product features
Scale data-informed decision making through ETLs and reporting dashboards created by your team
Identify opportunities to help inform the strategic direction of our fast growing business
Guide data scientists in their technical and professional development
Work closely with recruiting and other data team managers to help grow the team
What we look for in you (ie. job requirements):
5+ years of experience in managing other team members in a formal or informal capacity
10+ years of experience doing quantitative analysis at a technology company,
Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)
Demonstrated ability to distill insights into strong product recommendations and utilize experimentation to test any data-led hypotheses
Experience communicating the results of analyses to leadership teams to influence the vision and roadmap of the company
Sounds Cool? Let's work together.
Notice for Colorado applicants as required by sb19-085 (8-5-20). Target annual salary for this role performed in Colorado is $236,725 + target bonus + target equity + benefits (including medical, dental, vision and 401(k)).
*The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates.
ID=G2219
Please note that for employees based in the US, Philippines, Canada or Singapore, if your role requires you to be present in a Coinbase office or if you choose to be physically present in a Coinbase office or sponsored location, participate in any in-person gathering (including offsites) or engage in business travel sponsored by Coinbase, you will be required to be fully vaccinated (as defined by applicable law).  If you receive an offer, you will receive additional information about the grounds and process for an exemption.
Commitment to Equal Opportunity
Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.  For US applicants, you may view Pay Transparency, Employee Rights and Equal Employment Opportunity is the Law notices by clicking on their corresponding links.  Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations[at]coinbase.com and let us know the nature of your request and your contact information.  For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required.


Principal Data Scientist

Principal Data Scientist - Remote
United States | Data Science & ML
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LivePerson is a transformational force in how brands and consumers communicate. With over 18,000 brands, including HSBC, Verizon, and Home Depot, we are on a mission to make life easier for people and brands everywhere through trusted Conversational AI. We believe in a future where conversations are the norm for getting your intentions fulfilled - whatever they are.
We are an innovative, intent-driven company that believes in building the future and we are looking for growth minded, unconventional thinkers, developers and builders to join the team.
You will thrive here if:
You can operate in a fast paced, dynamic environmentYou can build partnerships that move our business forwardYou build code that is simple, understandable, and clean You see feedback or failure as motivation to learn and to growYou believe data-driven decision making is the normYou relate to our core principles (link) and want to work with Conversational AI experts
In this role you will:
Create, develop, and apply machine learning approaches to conversational decision making and dialogue management in both a commercial and research settingUse your expert knowledge of state-of-the-art methods and tools to consistently find the most effective, efficient, stable, explainable, and elegant approachesDesign and build modern, flexible machine learning training pipelinesAnalyze large scale conversational datasetsBringing research-driven models to life within production systemsCreating durable, flexible scientific deployment and experimentation capabilitiesWork on challenging unsupervised and semi-supervised problems related to dialog management, and create pipelines to accelerate and scale this effortUse and present research findings in ways that inform and sometimes guide business and product strategyLead publication efforts in top dialogue conferences such as ACL, SIGdial, Neurips, Interspeech…etc
Your qualifications are:
Masters/PhD in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related fieldPublication history in AI/ML/NLP conference with a focus on dialogue management research OR extensive experience within the commercial space working on production dialogue management systems.Hands on experience with Deep Learning for dialogue management Analysis, problem-solving, communication, and critical-thinking skillsStrong understanding of Machine Learning fundamentalsStrong programming experience in PythonStrong communication skills and a team player
#LI-Remote
Why you’ll love working here:
LivePerson was named to FastCompany’s World’s most innovative companies of 2020 list for the Artificial Intelligence category. We offer top tier tech & data science colleagues, along with opportunities to push your own limits. We embrace invention and experimentation. You’ll have great benefits, flexible time off, plus snacks and drinks to keep your mind fresh and stomach full. Most importantly, you’ll have an ability to make an impact at work and at brands across the globe as we build the future with trusted Conversational AI together.
At LivePerson, people from diverse backgrounds come together to do their best work and be their authentic selves. We are proud to be an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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