Senior Data Scientist

Company Description:
Quartet is a platform that makes it easier for people to get the best mental health care for them. Our technology and services reach people who need care, connect them to the right care, track the quality of their care, and support their care journeys. Backed by $160.5MM in venture funding from top investors like Oak HC/FT, GV (formerly Google Ventures), F-Prime Capital Partners, Polaris Partners, Deerfield Management, Centene Corporation, and Echo Health Ventures, Quartet partners with health insurance plans and health systems in 32 states across the country to help people get the care they need.
We are deeply committed to growing a diverse team and an equitable and inclusive culture where all Quartetians are empowered to be themselves and do their best work. We know this is vital in realizing our mission to improve the lives of people with mental health conditions. As part of our commitment to building a diverse team, we have signed the Parity Pledge and actively encourage applicants of all backgrounds to apply.
About the team & opportunity:
As a Senior Data Scientist at Quartet, you will work on a range of projects -- from developing statistical analyses to study impact of Quartet interventions; to predicting mental health needs among populations; to building machine learning models to suggest timely and appropriate behavioral health care interventions for patients.
You will own the design and implementation of Quartet’s algorithm for identifying patients with unmet mental health needs. By leveraging knowledge of computer science, machine learning, data mining and software architecture, you’ll work to build high-quality data products (for example: an entity resolution and de-duplication library; a Machine Learning application; an optical mark recognition - OMR - computer vision application).
This will involve designing and developing effective models, features, and algorithms involving multiple datasets (i.e. user activity, Electronic Health Records, healthcare claims, etc.) while collaborating effectively within the Data Science team, as well as cross-functional groups at Quartet.
Accountabilities:

Research and develop machine-learning and statistical models in Quartet Health’s platform to identify patients with unmet mental health needs who would benefit from Quartet’s products and services.
Design, develop and own data pipelines for patient identification and program evaluation.
Work with data scientists on Quartet’s evaluation team to design metrics and performance evaluations for both the patient identification algorithm and Quartet’s other core service offerings.
Drive a data-informed process for experimenting with new products to improve patient outcomes and operational efficiency.
Perform Machine Learning (ML) research and exploratory data analysis; develop model evaluation and online maintenance methodologies, including confidence estimation, calibration, and concept drift.
Develop general-purpose frameworks to support machine learning applications in production.

 Minimum Qualifications:

A Master's degree in computer science, engineering or statistics (or other technical field) and 3+ years experience working as a data scientist.
Formal training in statistics
Knowledge of mathematical fundamentals: probability theory, linear algebra and statistics.
Strong background in Machine Learning (ML) engineering.
Strong data transformation and extraction skills with SQL databases.
Strong statistical programming skills in both Python and R.
Comfort/self-sufficiency with the following: Amazon Web Services (AWS) infrastructure, Linux command line, git for version control.
Ability to work on projects from initial to final phase- beginning by defining a problem, developing an implementation plan, and overseeing deployment and maintenance.
Ability to clearly communicate across disciplines and work collaboratively.

Preferred Qualifications:

A PhD in a technical discipline (i.e. Computer Science, Engineering, Statistics, Economics)
Experience working within a healthcare technology environment

Employee Benefits for Quartet include: Unlimited vacation, volunteer opportunities, team events, mental healthcare coverage of 15 free therapy sessions + unlimited copay reimbursements, medical, dental + vision coverage, generous parental and military leave, commuter benefits, 401K, and stock option grants.
Want to know what Quartet life is like? Click here to meet our team.
Quartet actively encourages applicants of all backgrounds to apply and is proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. To perform this job successfully, an individual must be able to perform essential job duties -  reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential job functions. If you require assistance in completing this application, interviewing, or otherwise participating in the employee selection process, please direct your inquiries to talent@quartethealth.com
Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Quartet does not accept unsolicited headhunter and agency resumes. Quartet will not pay fees to any third-party agency or company that does not have a signed agreement with Quartet.
Have someone to refer? Email talent@quartethealth.com to submit their details to us.


Data Scientist Marketing Science Lead

Tombras, a 400+ person, full-service, national advertising agency with a digital mindset, is seeking a Sr. Data Analyst, Performance Media to join the Data Analytics department.

This position is remote to start and can be based in our Knoxville or Atlanta offices or continue remotely.

You’ll be joining one of the top independent agencies in North America. We blur the lines between a creative agency, a digital agency and a management consultancy. Our digital offering is married to the discipline and rigor of our Effie-winning strategists and Cannes Lion-winning creative directors. We are united by our philosophy: Connecting Data & Creativity for Business Results®. You’ll also be a part of a highly creative agency that has been recognized by Advertising Age, Adweek, Communication Arts, Fast Company, Forbes and Fortune. Tombras was recently named one of Ad Age’s 2019 A-List Agencies to Watch.

The analytics practice at Tombras delivers on the agency's promise of data + creativity for business results.  This role will be foundational to our advanced analytics team, which will partner with our analytics, media, and data-ops teams to realize the vision of offering best in class marketing science for our clients.  You'll build proprietary tooling, work on brands with household recognition, and grow the team as the agency scales.

What you will be doing:
Lead client engagements for advanced analytics including Media Mix Modeling, Message Mix Modeling, Multi-Touch Attribution, Forecasting, and support testing, experimentation, and optimization.  Your remit will be end-to-end, from selling in new work thru delivery of the results.
Develop the framework and approach for marketing science and develop bespoke offerings.
Employ best in class tooling to develop proprietary Martech in partnership with the Technology and Media practices.
Identify new and innovative data sets that can be used to improve existing modeling work, or deliver net new models.
 Clearly articulate statistical results to clients, ultimately leading to continued client engagement and implementation.
Eventually, serve as the direct manager to a team of data scientists that you recruit and develop.

What you bring:
4-7+ years of experience in marketing science, advertising analytics, or related, agency experience preferred
Mastery of advanced analytical techniques including but not limited to Multivariate/Bayesian Regression, Randomized Control Trial, Media Mix/Multi-Touch Attribution, Time-Series, Forecasting, Predictive Modeling, Discrete Choice Models
Strong experience with automation, business intelligence platforms, digital activation, the programmatic ecosystem, DSPs/DMPs/CDPs.
Strong competency with python, R, SQL, and other commonly used statistical tools
Client services mindset
Ability to influence clients and partner agencies to act on insights
Ability to distill complicated information into succinct graphical presentations for senior stakeholders.

Why you’ll want to work at Tombras:
Modern offices & amenities in desirable locations

(Gay St. in Knoxville/Buckhead in ATL)

Dog-friendly offices (Knoxville)
Casual dress & environment
Free Parking (Knoxville/ATL/CLT)
11 Paid Holidays, including MLK Jr. Day & Juneteenth
Paid Volunteer Days
Generous parental leave for primary and non-primary caregivers.
Medical (PPO or High Deductible option) for employee + dependents
Employer paid Dental & Vision
Employee Assistance Program for employees + dependents

Includes 3 free counseling sessions per life event

HSA Employer Contributions
Dependent Care FSA Option
Employer-paid life and disability insurance
401(k) Participation + discretionary employer contribution
Highly collaborative and high-energy work environment
Model of ongoing feedback for continuous career growth and development
A company culture of promotions from within and an atmosphere allowing for varied and rapid career development.

Tombras is proud to be an equal opportunity employer dedicated to pursuing and hiring a diverse workforce. All qualified applicants will receive consideration for employment without regard to their culture, ethnicity, race, sex, gender identity and expression, nation of origin, age, veteran’s status, color, religion, disability, sexual orientation, appearance, opinions or beliefs and more.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Job may require traveling overnight, driving long distances as required and sitting for extended periods of time with occasional walking and standing and occasionally lifting or carrying articles weighing less than 10 pounds.

Remote employees must be based in the United States.


Data Scientist Data Feeds

All roles with Chainlink Labs are globally remote based. We encourage you to apply regardless of your location.

Chainlink Labs is the market leader in providing a decentralized oracle solution for smart contracts to connect to real-world data and market prices of assets. The Data Feeds team seeks to equip oracle operators with proper insights in order to offer services backed by reliable data providers.

As a Data Scientist on the Data Feeds team, you will work closely with engineers and data analysts to build out robust monitoring and analytics of data sources that drive the Chainlink oracle data ecosystem. The current focus is price feeds on centralized and decentralized exchanges - analyzing price, liquidity, volatility, and will quickly evolve to other data types to meet the growing demands of the blockchain ecosystem. You will report to the engineering manager on the team.

Your Impact

Partner with analysts to continuously improve data quality monitoring and scoring of data sources that powers the Chainlink ecosystem
Develop models to detect early signs of a data provider misbehavior for the business to respond to before negative consequences occur
Partner with engineering to build robust monitoring and alerting solutions to detect and triage anomalies
Own data pipelines end to end to support your core functions and model reusable data sets as the data warehouse continues to grow
Closely work with other data scientists at Chainlink Labs to improve craft and align on best practices.

Requirements

Professional experience working with financial market and exchange data.3+ years of professional Data Science experience
Professional experience and comfort performing complex manipulation in SQL on large datasets
Advanced knowledge of data modeling, pipeline, and warehousing
Proficiency in programming fundamentals in a language such as Python or Golang
Experience owning multi month long projects, including communication of progress, dependencies, and risk mitigation directly with stakeholders and partners.

Desired Qualifications

Interest and/or experience in blockchain and other Web 3.0 technologies
Professional experience working closely alongside an engineering team
Professional experience in BigQuery
Professional experience owning the development of a data pipeline from data lake to model
Experience working in an agile environment
Experience working with a team located across multiple time zones

Our Stack
Golang, TypeScript, Solidity, Postgres, Terraform, AWS

Our Principles

At Chainlink Labs, we’re committed to the key operating principles of ownership, focus, and open dialogue. We practice complete ownership, where everyone goes the extra mile to own outcomes into success. We understand that unflinching focus is a superpower and is how we channel our activity into technological achievements for the benefit of our entire ecosystem. We embrace open dialogue and critical feedback to arrive at an accurate and truthful picture of reality that promotes both personal and organizational growth.

About Chainlink Labs

Chainlink is the industry standard oracle network for connecting smart contracts to the real world. With Chainlink, developers can build hybrid smart contracts that combine on-chain code with an extensive collection of secure off-chain services powered by Decentralized Oracle Networks. Managed by a global, decentralized community of hundreds of thousands of people, Chainlink is introducing a fairer model for contracts. Its network currently secures billions of dollars in value for smart contracts across the decentralized finance (DeFi), insurance, and gaming ecosystems, among others. The full vision of the Chainlink Network can be found in the Chainlink 2.0 whitepaper. Chainlink is trusted by hundreds of organizations—from global enterprises to projects at the forefront of the blockchain economy—to deliver definitive truth via secure, reliable data.

This role is location agnostic anywhere in the world, but we ask that you overlap some working hours with Eastern Standard Time (EST).

We are a fully distributed team and have the tools and benefits to support you in your remote work environment.

Chainlink Labs is an Equal Opportunity Employer.

#LI-Remote


Data Scientist

About Currencycloud

Currencycloud is somewhere where innovative thinking and the power of technology know no limits. We know that the success of the business depends on the people who keep it moving, which is why we are looking for exceptional talent to join our international payments revolution.

We are an open & collaborative Fintech unicorn that lives and breathes our company values:
Be Human, Better Together and Own it.

About this role...

As a data scientist, you will be working within a growing team, consisting of data engineers, analysts, and other data scientists. The role of this team is to provide a stable data management platform to help the other departments gain actionable insights from their data.

The main responsibilities include building prototype models for investigation projects, communicating any findings with stakeholders in an iterative/agile workflow, and contributing to any production workflow code base.

Our data stack and infrastructure is built upon Snowflake and the AWS cloud. For our day-to-day workflow, we are making frequent use of SQL queries, and the scientific stack of libraries in the Python language.

What you'll get to do?

Contributing to project development ideas - this is a particularly important aspect of the job; you will be expected to deliver creative ideas to the company, and in return, your contributions will be considered and given credit
Collaborate with other team members in an Agile workflow: Daily stand-ups and wrap-ups, sprint planning and refinement and writing stories and epics
Performing data integrity checks and data cleaning of raw datasets
Carrying out exploratory data analysis (EDA) of these datasets
Writing prototype models in an interactive development environment (Jupyter) for presentation to colleagues, and for iterative development
Contributing to project codebases
Version control with Git
Writing robust and tested code
Reviewing pull requests from colleagues

What skills and experience you'll need?

Essential:
Proficiency with Python, including libraries such as numpy, pandas, matplotlib/seaborn, jupyterlab/notebooks
SQL, any flavour
Knowledge of software design principles including version control wth Git / Github and writing Unit tests

Building machine learning models and pipelines such as:
scikit-learn with Python
hyper-parameter tuning and cross-validuation
Interpreting the outputs and findings of the models, and communicating these results to colleagues and stakeholders
Supervised learning and time series forecasting
Unsupervised learning for data exploration and clustering/segmentation analysis

Desirable, but not essential
Experience of writing APIs: eg Flask/FastAPI
Experience with dashboard development: eg Plotly Dash
Experience with Big Data processing in Spark/PySpark
Experience with other languages used in data management - Java/Scala
Experience with deep learning frameworks: Tensorflow/PyTorch/FastAI
Experience with deploying model pipelines into a production environment
Experience with model lifecycle management: eg mlflow (or alternatives)

Why Currencycloud?

We are a remote-first company; whichever location you’re contracted to, we leave it up to you and your manager to agree on how often you come into the office. To make things easier we offer an allowance so you can create your own working space at home because we REALLY mean it when we say remote first.

Your health and well-being are of paramount importance to us, and so our jampacked employee benefits reflect this!

We offer a competitive salary, an individual learning and development budget, a pension or 401K contribution, mental health days and comprehensive health care that includes annual optical and dental allowances, access to mental health support and a monthly allowance that you can spend on anything health or wellness related!

At the moment we are unable to consider applicants living outside of our entities and we are unable to provide visa sponsorship.

We aren’t currently looking for additional Recruiter support on this role and won’t be accepting any unsolicited CVs


Data Scientist Marketing Agency Temp

Description
SiriusXM and Pandora have joined together to create the leading audio entertainment company in the U.S. Together, we are uniquely positioned to lead a new era of audio entertainment by delivering the most compelling subscription and ad-supported audio experiences to millions of listeners -- in the car, at home and on the go. Our talent, content, technology and innovation continue to be at the forefront, and we want you to be a part of it! Check out our current openings below and at http://www.siriusxm.com/careers.
Position Summary:
We are looking for a Data Scientist to join our Data Science & Advanced Analytics team in SiriusXM Marketing. We seek an individual with strong data management, data engineering and statistical skills.  In this role, you will work closely with the data science team and our IT and business stakeholders to build predictive models to increase subscription revenue and improve customer experience, create centralized machine learning tools, evaluate data quality, and create and maintain dashboards.
Duties and Responsibilities:
Design and develop machine learning models to increase subscription revenue and improve customer experience.Work closely with engineers to deploy models in production and systematically track model performance, including creating and monitoring the dashboards.Evaluation new data sources. Perform data exploration and analysis to determine coverage of new data, to evaluate correlation to Sirius XM key business metrics, to determine the importance of various variables and provide recommendations on whether the data source provides incremental value to Sirius XM.  Assist in engagements with key business stakeholders in discussions on business strategies and opportunities.Prepare and present executive summaries of findings and detailed working team communications, with responsive iterations on such presentations based on individual data visualization preferences.
Supervisory Responsibilities:
None
Minimum Qualifications:
Bachelor's degree with 3+ years analyzing and providing insights using data; or Master's degree in Computer Science, Statistics, Operations Research, Engineering, Mathematics, Economics, Physics, or a related quantitative field.3+ years building machine learning and statistical models for supervised and unsupervised learning, understanding of underlying algorithms, ability to tune and analyze algorithms and extract actionable insights. These methods include (but are not limited to) regression analysis, clustering, outlier detection, decision trees, collaborative filtering, nearest neighbors and ensemble methods
Requirements and General Skills:
Ability to work in a dynamic, cross-functional environment, especially within IT/BI and MarketingExcellent verbal and written communication skillsAdept ability to explain complex data products in simple termsAbility to work independently and in a team environment.Strong organizational skills and attention to detailsMust have legal right to work in the U.S.
Technical Skills:
Exceptional programming skills in Python and/or RStrong knowledge of databases and related languages/tools such as Teradata SQLExperience with cloud technologies, especially AWS services (e.g. S3, Redshift, SageMaker)Knowledge of deep learning packages (Keras, Tensorflow, etc.) is a plusExperience in Natural Language Processing (NLP) is a plusThorough knowledge of MS-Office Suite (Word, Excel, PowerPoint, Access)
More details about our company benefits can be found https://jobs.jobvite.com/siriusxm/p/cultureanddiversity!
Our goal at SiriusXM+Pandora is to provide and maintain a work environment that fosters mutual respect, professionalism and cooperation. SiriusXM+Pandora is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, alienage or citizenship status, age, disability or handicap, sex, gender identity, marital status, familial status, veteran status, sexual orientation or any other characteristic protected by applicable federal, state or local laws.
The requirements and duties described above may be modified or waived by the Company in its sole discretion without notice.


Senior Research Scientist Machine Learning And Image Analysis

This position is for a senior scientist working in HeartFlow’s Image Analysis team whose primary responsibility will be to research, design, develop, test and deploy cutting-edge machine learning algorithms for image analysis using large amounts of annotated volumetric medical images. The scientist will tackle exciting problems that can include topics such as uncertainty modeling, multi-object segmentation, object recognition, image registration, prognostic modeling, image quality assessment, and multi-modal image analysis.

Job Responsibilities:

Solving cutting-edge scientific and technical challenges related to doing machine learning (deep learning) with a large amount of volumetric images.
Designing and developing image analysis algorithms and machine learning methods specifically for HeartFlow’s workflow with expert analysts in the loop.
Author top-tier journal and conference papers on your research at HeartFlow.
Intellectual ownership and specific lead responsibility related to the design, development, testing and delivery of integration of the machine learning and image analysis algorithms into the HeartFlow production workflow.
Design, development, integration, testing and maintenance of specific service and monitoring interfaces and functionality for all components associated with the image processing algorithms and integration.
Adherence to and active participation in the continuous development and improvement of all software quality policies and processes.
Keeping up-to-date with the state-of-the-art by attending academic conferences and reading industry journals.
Publish and disseminate findings by publishing articles and presenting at  conferences.

You have experience in the following:

Machine learning (deep learning)
Python (advanced programming)
C++ (knowledgeable)
Computer vision, image analysis

You are passionate about:

Solving prime medical problems with state-of-the-art technology
Revolutionizing the way cardiovascular disease is diagnosed and treated
Being a great engineer: 1) Familiarity with modern software development tools (bug tracking systems, source code revision control, automated testing) 2)Writing clean, modular, bug-free code 3) Algorithm development and computational complexity

You want to learn about:

Working in a regulated medical company
Cardiovascular disease
Computational fluid mechanics
Building efficient interactive software tools
High-performance and scalable computing
Cloud computing

Educational Requirements & Work Experience:

PhD in Computer Science, Math or related field with a focus on Machine Learning and Image Analysis is a must
A minimum of 2-4 years post-PhD work experience
Publication record in high-impact computer vision and/or machine learning journals or conferences

HeartFlow’s Image Analysis team develops the cloud processing technologies that automatically analyze cardiac CTA scans. The team also develops the interactive algorithms in the workstation that an in-house team of experts use to review and correct the processed data. Because HeartFlow stores all the received CTA scans together with the reviewed and corrected annotations it has access to an unprecedented amount of annotated medical image data. This allows HeartFlow’s Image Analysis team to develop ground-breaking Machine Learning technology to further improve the HeartFlow Analysis and explore exciting new products.

About HeartFlow, Inc.
HeartFlow, Inc. is a medical technology company redefining the way heart disease is diagnosed and treated. Our non-invasive HeartFlow FFRct Analysis leverages deep learning to create a personalized 3D model of the heart. By using this model, clinicians can better evaluate the impact a blockage has on blood flow and determine the best treatment for patients. Our technology is reflective of our Silicon Valley roots and incorporates decades of scientific evidence with the latest advances in artificial intelligence. The HeartFLow FFRct Analysis is commercially available in the United State, Canada, Europe and Japan. For more information, visit www.heartflow.com.

HeartFlow, Inc. is an Equal Opportunity Employer. We are committed to a work environment that supports, inspires, and respects all individuals and do not discriminate against any employee or applicant because 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. This policy applies to every aspect of employment at HeartFlow, including recruitment, hiring, training, relocation, promotion, and termination.

Positions posted for HeartFlow are not intended for or open to third party recruiters / agencies. Submission of any unsolicited resumes for these positions will be considered to be free referrals.

US Locations Only: All employees and contingent workers (contractor, consultant, interns or temporary personnel) are required to be vaccinated against SARS-CoV-2 and any booster as recommended by CDC, unless a reasonable accommodation is approved. All prospective hires will be expected to provide proof of vaccination on their first day of employment.


Lead Data Scientist

We’re Phrasee and we help brands say it better. An AI-powered SaaS platform that revolutionises customer experiences through Brand Language Optimization, Phrasee helps visionary enterprises enhance and personalise their customer experiences by optimising the language they use across the full customer journey and spectrum of digital brand channels.

All brand communications are predicated on one thing: language. In spite of its central role to marketing success, it remains looked upon as a Dark Art – exempt from the scientific rigor applied across the rest of the marketing funnel. Phrasee set out to accomplish the impossible: putting science (and sentiment) behind words. We are rewriting the digital marketing playbook one optimised word at a time.

Our effortless (borderline magical) platform is proven to boost customer engagement and increase lifetime value for the world’s leading brands, including Dixons Carphone, Domino’s, eBay, FARFETCH, Virgin Atlantic and Walgreens. We absolutely obsess about our customers' success so they can say it better.

At Phrasee you get to work with a super smart and caring team, who make BIG ideas a reality while having a lot of fun. Our growth plans are fast and global and we want YOU to be a part of our story.

Our team:
We are a small, agile and highly motivated product development team.  We have collaborative and flexible working environment, and we love getting stuff done. As a Lead Data Scientist, you will work alongside our world class product and engineering teams to lead research and development of differentiating AI/ML solutions that will enhance our product.

Our platform:
Phrasee is a SaaS platform that uses proprietary NLG and Deep Learning to generate and optimize language for use in marketing communications.

Phrasee is built with Open API’s designed to make it easy for third party technology platforms such as Email Service Provides, to integrate our technology to their workflow.

What you'll be doing:

Reporting to the Chief Scientist, you will be working in an agile team, to research, design and build market leading AI/ML solutions that make a material impact to our business and customer experience.
You will lead a small team of Data Scientists and Analytical Linguists to provide them the leadership and guidance they require to be successful.
Look to proactively identify and solve business challenges with advanced data science and analytics tools.
Make significant contributions to Phrasee's core Intellectual Property.
Coordinate with product and engineering to translate R&D prototypes into production-ready systems.
Develop workflows and processes to streamline Phrasee's research and development lifecycles.

You’re a Data Scientist who:

Loves numerical data, so naturally keeps on top of all the latest academic and industry developments in Data Science, Machine Learning, and AI.
Has a product mindset so that all research is based on solving real customer problems.
Has the drive to come in and make an impact, by taking ownership of this new role in a rapidly growing start-up environment .
Can adapt quickly, and calmly, to changing priorities.

You have a range of technical skills including:

Hold a Masters or PhD (or equivalent practical experience) in a highly numerical discipline such as maths, physics, statistics or computer science.
5+ years of working in a commercial R&D setting.
Have a strong working knowledge of fundamental statistics.
Experience with Python – pandas, jupyter and the broader scientific python ecosystem.
Ability to apply abstract mathematical concepts to noisy real-world data.
Communicate effectively with people across the business who have a variety of backgrounds.
Bonus points for knowledge of Computational linguistics, Machine Learning DevOps and Data visualization.

What we’re offering:

We strive to create a fun, friendly, and comfortable working environment.
We believe a good work-life balance is essential.
We're in this business for the long haul. We give our team time to think and to do things right.
Our team is a democracy. Everybody has a voice in how things are done.
We offer a competitive salary and benefits, but most importantly, a chance to work for a young, scale up company with and AWESOME team and culture, and a cutting-edge product that actually shows the value of AI!

This role is remote, with a base in the UK required.


Data Scientist Healthcare And Genomics

Named by Rock Health as the Best Digital Health Company to Work For, Color is a leading healthcare technology company. Color is building and delivering technology-enabled healthcare to millions of people. Through partnerships with public and private partners including governments, employers and health systems, Color’s infrastructure and software enables large populations to receive essential healthcare services directly where they live or work. This includes testing and telehealth services for preventive health and infectious disease management.

Since March 2020, Color has mobilized to address the pandemic by leveraging its platform to scale COVID-19 testing programs around the country. Color’s platform is used by more than 100 major employers, universities and public health institutions, such as the City of San Francisco, the State of California and PerkinElmer, community-based efforts in Oakland, and others, to deliver critical health programs. For more information about Color and its response to COVID-19, visit www.color.com.

By investing in the technology that ensures easy and affordable access to healthcare, Color is creating the infrastructure that will serve us for decades to come. Apply to join Color and do some of the most important work of your career. If you are not sure that you're 100% qualified, but are up for the challenge - we want you to apply!

The Data Science team at Color is tasked with turning our large, growing corpus of data into actionable insights, using the most advanced methods available, to help individuals improve their health. Members of the data team have diverse backgrounds in bioinformatics, population genetics, data science, data and business analytics as well as engineering. We enjoy working with other teams throughout the stack, including the early data exploration phase, scientific discovery, rigorous implementation, publications and eventually product integration and follow up.

Learn more about some of the recent work we’ve done below, through the publication section of the Color website, and on our blog.

How You’ll Contribute:

Develop data-driven insights to guide our product roadmap and reach a broader market
Apply state-of-art methods in health research to improve our assay and offerings
Help individuals around the world utilize the technology you helped build

Our Ideal Candidate Will Have:

You’re passionate about using data science tools to help save lives and improve health in individuals who are more susceptible to certain diseases.
You're well-versed in the tools of the modern computational biology, including coding proficiently in Python, SQL and the statistical models used to develop new insights or predictions
You have deep knowledge of data-driven research in healthcare in either genomics, epidemiology, or health outcomes
You have the ability to plan and execute rigorous statistical analysis on population scale health data sets
You have a MS or PhD in a quantitative or computational field and a track record of producing high quality research
You have at least 3 years of experience working with healthcare data
You have a track record of translating scientific results into new products and can effectively collaborate with others
You have and value strong communication and presentation skills and can confidently present your findings to technical and non-technical audiences

Nice to Have:

3 or more years of experience working in the biotechnology or healthcare industry
Advanced proficiency in large scale data discovering, wrangling, analysis and interpretation

Recent projects the team worked on:

Developed novel imputation approaches from low-coverage whole-genome sequencing (collected locally, in our state-of-the-art NGS lab)
In collaboration with Dr. Amit Khera from Broad Institute, We developed polygenic risk scores for coronary artery disease (CAD) to estimate an individual's genetic liability for this disease. You can find out more in here
Demonstrated the contributions of mild and asymptomatic individuals to the spread of the SARS-CoV-2 virus
Deployed machine learning models throughout multiple components of Color’s stack, including variant calling and classification;
In collaboration with epidemiological modeling experts Dr. Carl Bergstrom and Dr. Ryan McGee from the University of Washington, we developed models of SARS-CoV-2 viral spread in small populations that help to inform proactive testing strategies that help keep people safe as they return to work or school. You can find out more in here

#LI-MY1
#LI-CRE

Color is an equal opportunity employer. In accordance with anti-discrimination law, it is the purpose of this policy to effectuate these principles and mandates. Color prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Color conforms to the spirit as well as to the letter of all applicable laws and regulations.

COVID-19 Vaccination Requirement: Color requires anyone working onsite or visiting Color’s offices to confirm they are fully vaccinated against COVID-19 unless a medical or religious accommodation is timely requested and approved.  Please reach out if you have questions or concerns about this policy and how it may apply to your candidacy for a role with Color.


Data Scientist

About Us
Since 2005, Prosper has helped advance financial well-being for our users! With over 1 million users gaining access to $19 billion in loans, Prosper is the first peer-to-peer marketplace lender in US. It is built on a simple idea: connect people who want to borrow money with those who have money to invest. We are believers of advancing financial well-being and are passionate about offering our customers a portfolio of products from HELOC to Personal Loans and Credit Card. Our diverse culture rewards accountability and cross functional teamwork because we believe that this this enables the kind of innovative thinking that will accelerate our mission.

We’re on a mission to hire the very best and 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
Accountability at all levels drives results
Collaboration creates better solutions
Excellence leads to longevity
Diversity fuels our innovation
Simplicity guides our user experience
Integrity defines all our relationships

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

The Role
We are seeking a Data Scientist within the Product and Conversion Analytics Organization focusing on user behavior, customer retention, innovation 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
2+ 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

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.

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 Computer Vision And Machine Learning Researcher Europe

Pex is a fully distributed company, democratizing digital rights for everyone.
We are the team behind the Attribution Engine, a licensing infrastructure for the Internet enabling fair compensation and increased access to content. With its advanced identification technology, Attribution Engine ensures compliance and safety for platforms, gives rightsholders total control of their content, increases access and confidence for creators, helps law enforcement prevent toxic content, and provides brand safety for advertisers.

As the Senior Computer Vision and Machine Learning Researcher, you will play a key role in the development of our image search technology. You will join a fully remote team that values transparency and clear communication in an environment where all team members are supported to take initiative, experiment, learn from their mistakes, and share opinions freely.  If you enjoy big data processing and are looking for an opportunity to research and develop computer vision algorithms and techniques, apply today!

The Team:

Our R&D team is a fully remote, cross-functional team made up of talented researchers and engineers from various backgrounds who are always keen to learn about new technologies and state-of-the-art algorithms.

The Role:

As the Senior Computer Vision and Machine Learning Researcher, you will:

• Be responsible for testing new ideas and algorithms for image search
• Make existing image search algorithms more precise and faster
• Take ownership of image search algorithms research in a highly collaborative applied research environment
• Be able to introduce innovations that can lead to product features or new areas of business
• Take responsibility for communicating with different engineers across Pex to continuously improve and optimize implemented algorithms

You:

We have a lot of people who did not follow the traditional career path. We value people who are curious and collaborative and bring their unique perspectives to work each day. While we’re excited to learn what you can bring to the team, there are a few key things you’ll need that are essential to success in this role:

• Strong knowledge of Computer Vision, ability to innovate, research, test, and assess Computer Vision and Image Retrieval algorithms
• Comprehensive understanding of Machine Learning fundamentals
• Demonstrated expertise in developing Deep Learning or Computer Vision algorithms
• Proven experience with Image Processing (such as image segmentation, feature detection, and object detection)
• Excellent programming skills in Python, C++, or equivalent
• Experience with libraries such as OpenCV, PyTorch, or TensorFlow
• Ability to grasp new concepts quickly
• Former industry experience or published papers in academia

Perks and Benefits:

• Salary: $100.000 - $110.000 USD
• Equity, with perks like a 10-year exercise window
• The day off on your birthday
• 30 days of paid time off + 9 paid holidays
• 12 weeks of paid parental leave (+4 weeks for birth parent)
• A fully remote working environment
• A supportive culture that cares about both excellent work and work-life balance

Pex is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.


Lead Data Scientist

About Extend:

Extend is modernizing the $100 billion-per-year extended warranty and protection plan industry using cutting-edge technology, and top-notch customer service. After a $260M Series C financing round, we are ready to continue to scale our organization and grow beyond our $1.6B valuation.

Our API-first solution allows any merchant to offer extended warranties and protection plans, both online and offline, while also providing a merchant's end customers with a vastly improved and modern support experience that eliminates many of the issues customers face today with legacy underwriters.

We are a venture-backed startup based in downtown San Francisco (and since COVID began, fully remote) that is led by founders who have previously had multiple successful exits. Extend is simplifying the technology stack for the extended warranty industry.

About the Role:

In the Senior Data Scientist role at Extend, you will drive to advance the Machine Learning practice by working closely with the data, operations, product, and engineering teams, while tapping into the depths of your quantitative and technical expertise. This role will report to the Head of ML.

What You'll Be Doing:

Execute on the ML road map based on the business priorities. Collaborate with stakeholders across the organization.
Create platform analytics to measure and optimize product operations, risk, pricing, and more.
Manage timely completion of projects from start to finish, per project OKR’s and milestones.
Partner with cross-functional teams such as data engineering, solution engineering to implement a world-class machine learning infrastructure and production environment. Ensure proper data tracking is set up for features and products, and support debugging and development of new ETL processes.
Build ML models that outperform state-of-the-art for the domain. Lead and execute the processing and integration of disparate traditional and non-traditional data.
Create new analyses, models, and/or tools that deliver insights that enable scalable growth, improve client experience, operational efficiency and profitability, across operations, finance, revenue operations, and other internal teams.
Help mentor junior data scientists and scale the team. Lead cross-functional teams.

What We're Looking For:

4-6 years of work experience in data science, AI / ML, with fast-growth startups, or top consulting background. Experience in fintech, retail, insurance, or digital products preferred.
A curious, entrepreneurial leader with plenty of grit, analytical prowess, creative thinking, and initiative.
PhD in Statistics, Data Science, Econometrics, Computer Science, Operations Research, or related quantitative degree is preferred.
Expert command of Artificial Intelligence and Machine Learning, statistical modeling, state-of-the-art tools, and engineering best practices.
Expert knowledge of data mining techniques and tools with Python, R, SQL, etc. is required. Cloud, Unix, Javascript experience is a plus.
Expert proficiency interrogating relational data bases with SQL and with using, managing workload with distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.). Experience processing and modeling with unstructured data.
Proven track record of delivering multiple data science projects spanning scoping, development, testing, implementation, and management. Contributing to and delivering strategic technology that provides long-term competitive advantage.
Experience in project management, with a proven track record of on-time and within-budget delivery.
Ability to communicate across the organization, especially to teams with less data & analytics experience.
Empathy and humility.

Life at Extend:

Working with a great team from diverse backgrounds in a collaborative and supportive environment.
Competitive salary based on experience, with full medical and dental & vision benefits.
Stock in an early-stage startup growing quickly.
Unlimited vacation policy.
401(k) with Financial Guidance from Morgan Stanley.


Data Scientist Revenue Analytics

About Extend

Extend is modernizing the $100 billion-per-year extended warranty and protection plan industry using cutting-edge technology, and top-notch customer service. After a $260M Series C financing round, we are ready to continue to scale our organization and grow beyond our $1.6B valuation.

Our API-first solution allows any merchant to offer extended warranties and protection plans, both online and offline, while also providing a merchant's end customers with a vastly improved and modern support experience that eliminates many of the issues customers face today with legacy underwriters.

We are a venture-backed startup based in downtown San Francisco (and since COVID began, fully remote) that is led by founders who have previously had multiple successful exits. Extend is simplifying the technology stack for the extended warranty industry.

What You Will Be Doing:

Collaborate with stakeholders across the organizations to establish the highest business priorities and opportunities by measuring expected reach and impact for operations focused teams
Work with our Risk & Insurance team to build deep-dive analytics to help drive step-change improvements in efficiency (beyond day-to-day workforce management)
Analyze and recommend pricing strategies for the Sales and Merchant Success teams to drive client acquisition and optimization
Create platform analytics to confirm product operation is as expected and develop new processes to optimize warranty mapping operations
Perform exploratory data analysis to assemble metrics and KPIs to assess and gauge activity across the Extend platform, and support teams throughout Extend by delivering analyses and process improvements to help the business continue to scale
Work with data engineering and product teams to ensure proper data tracking is set up for features and products, and support debugging and development of new ETL processes
Support business operations, finance, revenue operations, and other internal teams by building analytics and reporting to understand overall business performance and increase organizational efficiencies

What We Are Looking For:

A curious, entrepreneurial leader with plenty of grit, analytical prowess, creative thinking, and initiative
2-4 years of analytics, management consulting, finance, and/or strategic operations experience with a digital product or service
Experience with SQL and Python, R or Julia, experience with Machine Learning and/or forecasting is a plus
Experience in the retail or fintech landscape is a plus
Ability and interest in thinking beyond the revenue organization, considering the challenges of other teams, and prioritizing what is best for the business holistically, is essential
Ability to communicate and collaborate across the organization, especially to teams with less data & analytics experience
Biased towards action and not afraid to make mistakes
Empathy and humility

Life At Extend:

Working with a great team from diverse backgrounds in a collaborative and supportive environment.
Competitive salary based on experience, with full medical and dental & vision benefits.
Stock in an early-stage startup growing quickly.
Unlimited vacation policy.
401(k) with Financial Guidance from Morgan Stanley.


Data Scientist

TaskRabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams.
Communications will always be conducted by taskrabbit.com domain names.

TaskRabbit is a remote-first company with employees distributed across the USA!
DataBird journal’s “Best Places” Best Companies for Diversity, #1 2019 and 2020
DataBird journal’s “ Best Places” Best Companies for Women, #4 2019 and #1 2020

About the Job
Data and analytics are the lifeblood of TaskRabbit and we are building a data science team to provide key insights to drive our business forward.
You will be a member of the Data Group: Data Analytics, Data Science, Machine Learning and Data Engineering.  We are a force multiplier, owning the data, analysis, and knowledge infrastructure that enables ourselves and our teammates to move faster and smarter.
As a data scientist focusing on growth, you will work closely with a cross functional team of product managers, marketing managers, designers, and engineers. You will apply various predictive and statistical modeling techniques to solve complex multi-faceted marketplace problems and optimize outcomes for all parties.  You will assist defining metrics and KPIs, design experiments to validate hypotheses and translate data into insights that would improve product, marketing and operational metrics.
As part of the Data Group, you will collaborate with other Data Scientists, drawing on their technical skills and expertise. Also, you will work with Data Engineers to ensure that the data platform and infrastructure provides you with the data and tools you need to do your job.
Join us in creating a better everyday life for everyday people.

Responsibilities:

Understand the business goals, ask right questions, define metrics, analyze patterns and trends, extract key findings, evaluate feasibility with available data, develop solutions, and communicate the results back to business
Identify growth opportunities based on data and provide well organized analysis for open ended questions
Evaluate the impact of new features, conduct controlled experiments and provide advanced data analysis using statistical modeling techniques such as regression, classification, time series modeling, causal inference and clustering.
Help stakeholders make better business decisions with insights and actionable recommendations
Become a subject-matter expert on marketplace and supply/demand dynamics

Qualifications:
We welcome applicants from a variety of backgrounds and experiences. Below gives you a sense of how we're thinking about what you'll need to be successful in the role.

BS or above in Computer Science, Statistics, Engineering, Operations Research, or a related quantitative field
3+ years experience in a data science role or equivalent
Strong experience with SQL
Knowledgeable in Python programming
Experience in solving business real world business problems with predictive and statistical learning methods
Excellent statistical intuition and knowledge of various approaches such as causal inference, hypothesis testing, sampling
Great communication skills, both written and oral; comfortable presenting findings and recommendations to non-technical audiences
Experience with CDP, DBT, Looker, Tableau, or similar tool is a plus

Bonus Points

Agile. Intelligent. Creative. Problem-solver. Startup lover. You like making things happen.
We're looking for people that have a passion for data, technology and problem solving
You're familiar with our product and have some ideas on things you'd want to add or change!

About TaskRabbit
TaskRabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. Acquired by IKEA Group - the world’s largest furniture retailer - in 2017
At TaskRabbit, we want to make your neighborhood a little more familiar. Whether it’s a handyman (or woman!), a housecleaner, moving help or delivery person, we’re imagining a world where everyone will have a go-to team to make everyday life easier. As a company we celebrate innovation, inclusion and hard work.
As a pioneer of the sharing economy, TaskRabbit was founded on the premise of neighbors helping neighbors. Since then, our network has grown to eight countries and 75+ cities, yet our core mission of creating a better everyday life for everyday people has remained the same.
Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.
We are a group of mission-minded people. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially-minded and data-driven people who also have a passion for helping people do what they love - and have a ton of fun while they’re at it.

You’ll love working here because:

TaskRabbit is a remote first company. We recognize that talented people live all over the world.
Collaboration hub offices in San Francisco, Austin and London
The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!
Senior Leadership Team 75% women
Director Level 86% Diverse
The Values.

Care Deeply. We take time to be present and partner with our team and communities.
Level Up. We navigate through ambiguity and go the extra mile.
Be A Better Neighbor. We build a diverse and sustainable community and encourage all voices.

Lead The Future Together. We value entrepreneurship and are inspire by action.

The diverse culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up more than half of our team and leadership, and we strive to recruit and retain employees from all over the world.

The perks. TaskRabbit offers comprehensive medical, dental, vision 100% covered for employees, 401k plan with company matching,  generous and flexible vacation and holiday time off, commuter benefits, learning and development opportunities, career development trainings, monthly TaskRabbit product stipends, IKEA discounts, weekly meditations, and a dog-friendly office.

Equal Opportunity Employer
TaskRabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. TaskRabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
TaskRabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.


Manager Of Data Science

ABOUT US

Bestow is the leading digital platform for life insurance. As both a direct-to-consumer destination and an infrastructure provider, Bestow is on a mission to make life insurance accessible to millions of underserved families.

We ideate fast, embrace change, and take risks. As a rapidly growing tech startup, we look for the best talent out there and try to stay out of their way. From scaling our business model to expanding our offerings, the day-to-day at Bestow offers endless professional growth opportunities. The people who succeed here look for problems and solutions. They are both passionate about their ideas and open to having their mind changed.

In the end, we value the same things our customers do: family. So we strive for work-life balance and believe happy employees make for better experiences and happier customers.  It’s a model that helped us land the #2 spot on Forbes’ Best Startup Employers 2021 list. Boom!

Bestow is seeking a Manager of Data Science for our growing organization to lead our Data Science team. As a manager, you will be responsible for three key areas:

-First and most important is the engagement and development of the individual contributors on your team. You will ensure that they are set up for success and allowed to grow as individuals and in their careers.
-Second, you will ensure your teams are staffed and organized to deliver quality data products predictably. You will help set business context and frame the purpose for your teams’ work.
-Finally, as a member of the engineering management team, you will identify and lead initiatives across the engineering organization.

Learn More About Us

Why AI makes life insurance decisions at this company
Bestow to Acquires Centurion Life Insurance Company
Bestow Lands $70M Series C To Expand Life Insurance Product

Open to Austin, TX, Dallas, TX or Remote (US) #LI-Remote

Your Day to Day

Work effectively with cross-functional partners and stakeholders to set and achieve optimal outcomes.
Passionate about solving technical challenges, organizing teams to deliver, and running an efficient process for produce high-quality, high confidence deliverables.
Enjoy managing the team with multiple projects and balancing various needs and priorities.
Develop the data science roadmap for your team with input from underwriters, engineering, and product management
You are passionate about building and mentoring high-performing engineering teams.
Be an internal advocate for data science and look for opportunities where the application of data science and ML can be demonstrably advantageous or solves existing and new challenges.
Self-motivated and capable of working through ambiguity
Measure the impact of your team and set clear expectations and goals.
Recruit and grow your teams with high-performing engineering talent that complements our engineering values; helps make Bestow a world-class engineering brand.

About You

3+ years of engineering management experience, including as an indirect manager
6+ years of data science experience
Bachelor’s degree in computer science, engineering, or equivalent self-study
You have a proven track record of leading high-performing teams, attracting and developing technical talent.
Well-versed in modern SDLC methodologies such as Scrum and Kanban and aligned to the agile principles.
You have excellent written and verbal communication skills and the ability to communicate across all levels of the organization to technical and non-technical audiences.
Experience managing geographically distributed teams
Actively communicate roadblocks or significant delays in estimated delivery.
Familiar with a variety of data science, machine learning, and artificial intelligence technologies
History of success in delivering technology change, project execution, and delivery
Exceptional troubleshooting skills and the ability to quickly assess complex technical issues
Experienced with start-ups and maturing solutions for customer growth
US Citizen or Permanent Resident (Bestow does not sponsor applicants for work visas at this time)

Total Rewards

Competitive salary, bonus & stock options
Open PTO plan
100% paid premiums for medical, dental, and vision insurance
Annual bonus based on individual and company performance
Generous equity grant based on level
Flexible work-from-home policy and open to remote

We value diversity at Bestow. We hire, recruit, and promote without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, pregnancy or maternity, veteran status, or any other status protected by applicable law. We understand the importance of creating a safe and comfortable work environment and encourage individualism and authenticity in every member of our team.

Bestow does not sponsor applicants for work visas at this time.


Data Science Fellow Voice Video Analytics

Company Description
Our focus is to help Biotech/BioPharma, MedTech, Digital Health, Healthcare, Insurance, and Tech organizations accelerate innovation, enable data-driven decisions, and create AI/ML applications. We leverage AI to solve today’s hardest challenges. We are driven to make the world a better place by providing consulting services and building applications to improve outcomes and help our clients stay ahead of the competition.
Our team is composed of creative and results-focused individuals who excel at solving real-world problems. Our diverse backgrounds bring technology and expertise from various disciplines including neuroscience, physics, engineering, computational biology, genomics, mathematics, and computer science.
Our culture is vibrant, connected, rooted in our core values statement that:Our work matters. Our clients are partners. Our work is our reputation. We own our choices. We are always learning. We support and challenge each other.
This position is part-time and may convert to a permanent position for the right candidate.
Job Description
MDS is seeking a data science fellow to contribute to the development, validation, and bias mitigation of models of human behavior and physiology. The primary sources of data for this project will be video and audio/voice.
This role is ideal for a results-focused individual who excels at solving problems at the cutting edge of data science with strong technical abilities to take on challenges in data mining, machine learning, data extraction/analysis, and algorithm development. Background in bioinformatics, neuroscience, human behavior analysis, signal processing, cloud computing, video analytics, or voice anatomy and physiology is a plus, but not essential.
Strong candidates will have skills combining and applying techniques spanning computer vision, speech analysis, and machine learning for time-series data to problems in healthcare and life sciences. We also value individuals who are self-motivated, good communicators, and passionate about learning and keeping up with the latest trends emerging in the data science space.
Read more about our VIVO platform (https://www.mercuryds.com/platform/vivo) that accelerates AI solutions in video and voice analytics for behavior and emotion analysis, telemedicine, and clinical trial biomarkers.
Responsibilities
Explore data to generate hypotheses, research similar problems for ideas, brainstorm with teammates to strategize potential solutions, test their feasibility, and contribute to their developmentPrepare for a data science career with guidance from professionals with a wide variety of backgrounds
Qualifications
Currently pursuing a Masters, PhD, or a Postdoctoral researcher in Computer Science, Math, Statistics, Physics, Computational Biology, Biomedical Informatics, or a closely related fieldPassion for solving complex data science challengesMachine Learning and Python experienceComfortable working in a fast-paced, collaborative team environment
Additional Information
Valuable Skills/Experience
Background in neuroscience, human behavior, healthcare, signal/image processing, and voice and video analyticsExperience analyzing and modeling time series dataExpertise in designing and implementing efficient algorithmsFamiliarity with Deep Learning Neural Network building with frameworks such as Tensorflow or PyTorchExperience working in a UNIX (Linux) environment


Data Science Fellow Nlp

Company Description
Our focus is to help Biotech/BioPharma, MedTech, Digital Health, Healthcare, Insurance, and Tech organizations accelerate innovation, enable data-driven decisions, and create AI/ML applications. We leverage AI to solve today’s hardest challenges. We are driven to make the world a better place by providing consulting services and building applications to improve outcomes and help our clients stay ahead of the competition.
Our team is composed of creative and results-focused individuals who excel at solving real-world problems. Our diverse backgrounds bring technology and expertise from various disciplines including neuroscience, physics, engineering, computational biology, genomics, mathematics, and computer science.
Our culture is vibrant, connected, rooted in our core values statement that:Our work matters. Our clients are partners. Our work is our reputation. We own our choices. We are always learning. We support and challenge each other.
This position is part-time and may convert to a permanent position for the right candidate.
Job Description
MDS is seeking a data science fellow to contribute to the development and validation of Natural Language Processing (NLP) based approaches to accelerate the development of therapeutics and the discovery of biomarkers. The primary sources of data for this project will be biomedical literature.
This role is ideal for a results-focused individual who excels at solving problems at the cutting-edge of data science, with strong technical abilities to take on challenges in data mining, machine learning, data extraction/analysis, and algorithm development in life sciences and healthcare. This fellowship will be focused on the intersection of data science and NLP to extract meaningful insights from biomedical, scientific, and clinical text.
Strong candidates will be prepared to leverage techniques from NLP to address challenges in healthcare and life sciences. Strong candidates will have a deep understanding of how to extract entities and relationships from biomedical literature and biomedical data sets to accelerate drug and biomarker discovery and development. Experience in creating intuitive data visualizations is a plus. Background in bioinformatics, drug development, electronic medical records systems, or NLP is a plus, but not essential.
Read more about our ERGO platform (https://www.mercuryds.com/platform/ergo) that accelerates NLP solutions for science, medicine and technology.
This position is part-time and may convert to a permanent position for the right candidate.
Responsibilities
Explore data to generate hypotheses, research similar problems for ideas, brainstorm with teammates to strategize potential solutions, test their feasibility, and contribute to their developmentPrepare for a data science career with guidance from professionals with a wide variety of backgrounds
Qualifications
Currently pursuing a Masters, PhD, or a Postdoctoral researcher in Computer Science, Math, Statistics, Physics, Computational Biology, Biomedical Informatics, or a closely related fieldPassion for solving complex data science challenges in NLP focused on biomedical textMachine Learning and Python experienceComfortable working in a fast-paced, collaborative team environment
Additional Information
Background in bioinformatics, drug development, electronic medical records systems, or NLPExpertise in designing and implementing efficient algorithmsFamiliarity with large open source biomedical datasets and ontologies for drugs/chemicals, genes/proteins, diseases/conditions, etc.Familiarity with NLP software libraries/models including spaCy, scispaCy, BERT, GPT3


Senior Data Scientist Product Analytics

About Krisp:
At Krisp, we are developing and launching applications that enhance professionalism and productivity of employees and contact center agents. Krisp mutes background noise bi-directionally during calls and is the only software available in the market to do so as an application, becoming a virtual microphone and speaker within Windows, Mac OS and VDI. We are out front leading this market, with partners and customers including Chase, Concentrix, Discord and many others. Our team is defining the future of how remote employees vastly improve their voice and video communications.
Krisp is an award winning product, loved throughout the world. In 2020, Krisp has been recognized as:
Forbes AI 50 most promising AI startupForbes Cloud 100 Rising StarTIME 100 Best InventionsGartner Cool Vendor
Location:
Europe, Remote
We are a remote-first company, so you can work from anywhere. For this role we prefer to have an overlap of at least 4 hours with GMT+4 timezone.
The Role:
As a Senior Data Scientist, you will work directly with our Data Analytics Manager as part of our growing analytics team. You will be working closely with the key stakeholders from product, growth, marketing and sales teams to unlock the next stage of Krisp's growth.
This is an exciting opportunity to further build the data science function at Krisp and cultivate a data-driven culture! You will have a direct influence in growth, product, marketing and strategy initiatives. If you are intellectually curious, a creative non-linear problem solver, passionate about building compelling dashboards, sophisticated statistical and predictive models and eager to influence decision making, we'd love to have you in the team!
What You'll Do:
Measure the impact of growth, product and marketing initiatives and identify growth and optimization opportunitiesGenerate insights about the user's journey aiming to optimize conversion rates, evaluate performance, and design and analyze experimentsPartner with cross-functional teams on data-informed hypotheses that will drive experiment design and analyze causal relationshipsDevelop a thorough understanding of traffic, funnels, conversion rates and user behavior using large events dataApply machine learning models for predictive analyticsDesign and develop metrics, and create insightful automated dashboardsWork with analytics engineers and data analysts to create new data models, feature and metrics stores and explore new data sources to add to our data warehouse.Initiate new and innovative approaches to make data products actionableSee beyond numbers and help to inform, influence, support, and execute business decisionsTake initiative to always ask why - question the questionable and the unquestionable to find answersProvide expertise on data science concepts for the analytics team and inspire the adoption of data science across many functions of the company.
What We’re Looking For:
A graduate of a quantitative discipline3+ years of relevant working experience in data science or analytics, preferably in a fast-paced companyStrong programming skills, preferably in Python(Data Science libraries) and SQLPractical experience of building compelling dashboards using BI tools (e.g. Tableau)Expertise in advanced analytical techniques, statistical analysis and predictive analytics using MLBusiness savvy and ability to think strategically and act judiciously to solve business problems through the use of dataHave an attention to detail and desire for end-to-end ownership of deliverablesSelf-motivated, proactive and autonomous; comfortable working in a fast-paced environmentCollaborative with a positive attitude and strong sense of empathyFluency in English
Nice to haves:
Experience with SaaS metricsExperience with PySparkExperience in analytics engineering with dbtKnowledge of version control and GitHub actionsFamiliarity with agile development framework.
Benefits at Krisp:
Stock optionsLearning and development assistanceHealth, dental and vision insurancePaid Time Off and Sick Time OffPaid Parental LeaveMaternity Leave Top-upGym reimbursementReferral bonus programWork from forest (Remote work initiatives)
Krisp is an Equal Opportunity Employer:
All applicants are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. We do not tolerate discrimination or harassment of any kind. All employees and contractors of Krisp treat each other with respect and empathy.
How to Apply:
All interested candidates are encouraged to submit their applications.
Check out the rest of open positions.


Data Scientist

At U.S. Bank, we're passionate about helping customers and the communities where we live and work. The fifth-largest bank in the United States, we’re one of the country's most respected, innovative and successful financial institutions. U.S. Bank is an equal opportunity employer committed to creating a diverse workforce. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors.Job DescriptionJob DescriptionResponsible for big data/analytics projects that gather and integrate large volumes of data. Specializes in developing and programming methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate insights and solutions for client services and product enhancement. Acquires data from multiple data sources to perform analysis. Implements and validates predictive models as well as create and maintain statistical models with a focus on big data. Identifies, analyzes and interprets trends or patterns in complex data to provide answers to business questions as well as provide recommendations for action. Interprets data and analyzes results using various advanced statistical techniques and tools. Presents data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations and make data driven decisions. Collaborates with various partners to prioritize requests/needs and provide a holistic view of the analysis. Measures and monitors results of applied recommendations and present adjustments. Ensures all data acquisition, sharing and results of applied recommendations are compliant with company standards.Basic Qualifications
Bachelor's degree in a quantitative field such as statistics, computer science, engineering or applied mathematics, or equivalent work experience
Four to six years of relevant experience
Preferred Skills/Experience
Strong analytic skills with the ability to extract, collect, organize, analyze and interpret trends or patterns in complex data sets
Experience in analytics, advanced analytics/statistics, predictive modeling, machine learning, data visualization
Understanding of machine learning techniques and algorithms
Experience in python/R/SAS/SQL for data extraction, data mining, and predictive analytics
Demonstrated project management skills
Effective interpersonal, verbal and written communication skills
Experience in dealing with consumer insights with marketing and product team would be a plus
Benefits: Take care of yourself and your family with U.S. Bank employee benefits.  We know that healthy employees are happy employees, and we believe that work/life balance should be easy to achieve.  That's why we share the cost of benefits and offer a variety of programs, resources and support you need to bring your full self to work and stay present and committed to the people who matter most - your family.Learn all about U.S. Bank employee benefits, including tuition reimbursement, retirement plans and more, by visiting usbank.com/careers.EEO is the LawApplicants can learn more about the company’s status as an equal opportunity employer by viewing the federal EEO is the Law poster.E-VerifyU.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.


Data Scientist Ii

At GoGuardian, we’re helping share the future of digital learning by providing educators, students, and schools with tools to create engaging and equitable learning environments. Together, we build innovative solutions to empower students, deliver insights, and encourage experimentation. With employees around the globe, we’re committed to building a culture of inclusivity, curiosity, and courage. GoGuardian’s growth is fast and ever-evolving, and our teams are growing along with it — always ready to experiment and learn.

While this job posting uses "El Segundo, CA" as the location, please note this role is currently being recruited for remote work or reporting to headquarters if within commuting distance.

As a Data Scientist II at GoGuardian, you will join an innovative team collaborating with partners throughout the business to solve challenging problems. Your primary responsibility will be to optimize company performance with algorithms, experimentation, and interactive dashboards. You will also have the opportunity to contribute to novel research studies and production-grade algorithms that serve students and educators. This is a high-impact role in a dynamic environment. You will help us set a standard for data-driven, scientific decision-making throughout the business.

What You'll Do

Collaborating across teams to understand complex business problems and implement lasting technical solutions
Building machine learning models and deploying them as production services at scale
Extracting and transforming data in a reliable, repeatable mannerEmpirically exploring novel data sets to separate signal from noise
Building tooling to support efforts such as unit testing, automated deployment testing, model performance tracking, etc.
Communicating methods and findings in written reports, presentations, and dashboards
Building the best data science team in Ed Tech (as a start...)

Who You Are

A Ph.D. in a quantitative field (science, math, statistics, engineering, etc.)
2+ years experience as a Data Scientist and a record of delivering impactful results
An outstanding ability to communicate complex findings in a clear and simple manner with excellent written and oral communication skills
Advanced skills in Python
Proven self-learner with the drive and talent to learn very quickly
Experience with git and cloud computing (AWS, GCP, or Azure)
Plenty of experience with traditional statistics and ML approaches
Experience extracting data from a variety of sources in a variety of formats
Knowledge of best practices in coding/scientific projects

Bonus if you have: Experience with Docker. NLP experience. Experience building interactive dashboards in python or R (shiny, dash, streamlit, etc.)

What We Offer

A varied and challenging role in a multinational and highly innovative company
A robust benefits package including health insurance, 401(k) retirement savings plan with company match, employee stock option plan, paid parental leave, 13 paid company holidays, and much more
Development and further training opportunities for shaping and realizing your career goals
Exceptional colleagues with a passion for EdTech

GoGuardian is an equal opportunity employer and makes employment decisions on the basis of merit and business needs. GoGuardian does not discriminate against employees, applicants, interns or volunteers on the basis of race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, pregnancy, marital status, sex, age, sexual orientation, military and veteran status, registered domestic partner status, genetic information, gender, gender identity, gender expression, or any other characteristic protected by applicable law.

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Data Scientist I

At GoGuardian, we’re helping share the future of digital learning by providing educators, students, and schools with tools to create engaging and equitable learning environments. Together, we build innovative solutions to empower students, deliver insights, and encourage experimentation. With employees around the globe, we’re committed to building a culture of inclusivity, curiosity, and courage. GoGuardian’s growth is fast and ever-evolving, and our teams are growing along with it — always ready to experiment and learn.

While this job posting uses "El Segundo, CA" as the location, please note this role is currently being recruited for remote work or reporting to headquarters if within commuting distance.

As a Data Scientist I at GoGuardian, you will join an innovative team collaborating with partners throughout the business to solve challenging problems. Your primary responsibility will be to optimize company performance with algorithms, experimentation, and interactive dashboards. You will also have the opportunity to contribute to novel research studies and production-grade algorithms that serve students and educators. This is a high-impact role in a dynamic environment. You will help us set a standard for data-driven, scientific decision making throughout the business.

What You'll Do

Collaborate across teams to implement data science and machine learning solutions into our SaaS products
Continuously grow your skill set through project-based learning and collaboration with a talented DS team
Communicate methods and findings with stakeholders in written reports, presentations, and dashboards
Build machine learning models and learn to deploy them as production services at scale
Collaborate with talented data engineers to extract and transform data in a reliable, repeatable manner
Empirically exploring novel data sets to separate signal from noise
Contribute to technical improvements such as automated deployment, model performance tracking, etc.
Join the best data science team in Ed Tech (as a start...)

Who You Are

PhD or MS in a quantitative field (science, math, statistics, engineering, etc.)
Experience applying data science solutions to deliver impactful results in a job or internship
Excited about communicating complex findings in a clear and simple manner with excellent written and oral communication skills
Proven self-learner with the drive and talent to learn very quickly
Proficiency in python
Experience with git and cloud computing (AWS, GCP, or Azure)
Familiarity with traditional statistics and ML approaches
Familiarity with extracting data from a variety of sources in a variety of formats
Knowledge of best practices in coding/scientific projects

Bonus if you have: Demonstrated ability for self-directed learning and improvement. NLP experience. Experience building interactive dashboards in python or R (shiny, dash, streamlit, etc.)

What We Offer

A varied and challenging role in a multinational and highly innovative company
A robust benefits package including health insurance, 401(k) retirement savings plan with company match, employee stock option plan, paid parental leave, 13 paid company holidays, and much more
Development and further training opportunities for shaping and realizing your career goals
Exceptional colleagues with a passion for EdTech

GoGuardian is an equal opportunity employer and makes employment decisions on the basis of merit and business needs. GoGuardian does not discriminate against employees, applicants, interns or volunteers on the basis of race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, pregnancy, marital status, sex, age, sexual orientation, military and veteran status, registered domestic partner status, genetic information, gender, gender identity, gender expression, or any other characteristic protected by applicable law.

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Head Of Ecosystem Data Science

Coinbase has built the world's leading compliant cryptocurrency platform serving over 30 million accounts in more than 100 countries. With multiple successful products, and our vocal advocacy for blockchain technology, we have played a major part in mainstream awareness and adoption of cryptocurrency. We are proud to offer an entire suite of products that are helping build the cryptoeconomy and increase economic freedom around the world.
There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for signals that a candidate will thrive in a culture like ours, where we default to trust, embrace feedback, disrupt ourselves, and expect sustained high performance because we play as a championship team. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people with the desire and capacity to build and share expertise in the frontier technologies of crypto and blockchain, in whatever way is most relevant to their role.
You will partner directly with ecosystem product leadership to define and execute data roadmaps, and build systems of intelligence empowering the team while bringing forward actionable and inspiring insights to spearhead critical operational and strategic decisions across all aspects of ecosystem at coinbase
We expect you to have a deep understanding of crypto domains and demonstrate clear communication, strong desire to execute and best-in-class craftsmanship. Also, you’ll spend the other part of your time collaborating with cross-functional partners in product and engineering, ensuring Coinbase scales in the most safe and compliant way.
What you’ll be doing (ie. job duties):
Lead, mentor and grow a team of data scientists, data science managers and build strong partnerships with ecosystem product teams
Act as a strategic thought partner to product leadership and Coinbase executives; lead the team to execute on campaign measurements, brand awareness and other top product priorities
Partner closely with data and organization leadership to meet analytics needs and continuously improve our insight-creation capabilities, as a trusted and influential evangelist for data-guided decision making, while cultivating a culture of data at coinbase.
Drive long term product data strategies and planning
Leverage advanced analytics toolset to find opportunities, unpack drivers and develop hypotheses to inform action planning with partners
Act as the DRI for key ecosystem metrics and insights at Coinbase
Advocate for data guided decision and frameworks via empowerment of data usage across the product and data organization
Recruit and grow a premier data science and analytics team
Drive data team and organizational level initiatives to scale our insights through better systems and automation
Design communication structure and cadence with team members; Synthesize data takeaways (success or failures) into compelling narratives and communicate them throughout Coinbase
What we look for in you (ie. job requirements):
BA / BS degree business, computer science, statistics, applied mathematics, or any scientific or computational degree. Masters or PhD is preferred
Passion for crypto and blockchain domains. Prior experience in crypto data is preferred
Strategic product orientation - product driven data leader who proactively understands user journey and insights in the ecosystem product domain at Coinbase, and consistently looking for HOW and WHY.
Deep knowledge of product analytics and data domains with proven track record of running a successful data science and analytics function
7+ years of experience as a hands-on leader of a data science/analytics team.
Experience in both internal and external storytelling and executive presentations.
Expertise with analytics tools, data visualization, sql, r, or python as applied to data science and analytics.
10+ years of experience providing business insights support for the executive team.
Excellent ability to communicate complicated and nuanced insights in accessible language to relevant stakeholders.
Proven track record of strong leadership. Experience in leading large teams with 10+ team members
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(P29078)
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@ 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). Please contact accommodations@ coinbase.com for additional information or to request accommodations.
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