Senior Data Scientist

Senior Data Scientist
KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures.
KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors.
Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methods
KoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP.
We are hiring a Senior Data Scientist to help accelerate our mission.
About the position
In this role, you will build predictive models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will be creating models and developing software to accelerate discovery of critical battery metals.
You will join an outstanding team of data scientists and engineers and will work closely with KoBold’s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work.
Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up.
Responsibilities
The Senior Data Scientist will:

Help develop KoBold’s proprietary software exploration tools.
Find and curate a wide variety of geospectral, geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system.
Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.
Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.
Develop and apply a range of data processing, statistical, and physics-based techniques to geoscientific data — from computer vision to geophysical inversions — and use the results to guide our targeting efforts and inform our acquisition and exploration decisions.
Present to and collaborate with our external partners and stakeholders.

Qualifications
A great Senior Data Scientist candidate will have:
Technical skills, including extensive experience with:

Python’s data science packages and general software engineering practices.
Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.
SQL, as well as familiarity with non-relational databases.
Cloud computing resources.
Building a wide variety of predictive models, applying them to different problems, and evaluating and interpreting the results.
Working with a broad range of types of data including data from physical systems.
Geospatial analyses and visualizations.

Technical knowledge:

Broad skills in and knowledge of applied statistics
Substantial understanding of Machine Learning algorithms

Training and work experience:

An advanced degree in the physical sciences, engineering, computer science, or mathematics.
Post-degree work experience as a data scientist or data engineer. KoBold is willing to consider candidates at the Data Scientist, Senior Data Scientist, or Staff Data Scientist levels, with commensurate compensation, however recent bachelor’s/master’s candidates are unlikely to be competitive.

Work practices and motivation:

Ability to take ownership and responsibility of large projects.
Enjoys constantly learning such that you are driving insights and innovations.
Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers.
Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.
Ability to independently prioritize multiple tasks effectively.

It is also helpful but not required to have experience with:

Creating machine learning models on geospatial data
Geostatistics
Image processing or computer vision
Distributed computing applications for machine learning and other computations
Containerization solutions

KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, marital status, disability, or veteran status.
The US base salary range for this full-time exempt position is $140,000-$210,000.
Location: KoBold is a remote first workplace, we are open to candidates currently residing anywhere in the United States or Canada. All candidates must be authorized to legally work in either the United States for Canada


Data Scientist

.
Data Scientist

About the company
KoBold Metals is a mineral exploration company using AI to explore for the metals we need for our transition to a low-carbon economy. KoBold’s business is discovering, defining, expanding, and developing mineral resources, and KoBold’s objective is to achieve a step-change improvement in exploration success: we aim to discover more tier 1 resources, faster, and with fewer failures.
KoBold has a global portfolio of more than 50 exploration properties targeting nickel, copper, cobalt, and lithium, which range from 100%-owned to partnerships with both majors, junior explorers, and prospectors.
Our team includes the best of the industry in exploration geoscience, data science, software engineering, operations, and business personnel. Prior to joining KoBold, KoBold team members have made nearly 20 discoveries. Our exploration programs are co-led by our geoscientists and data scientists, who develop exploration hypotheses, rigorously quantify uncertainty in our understanding of the subsurface, and design data collection programs that most effectively reduce uncertainty, drawing upon a large suite of proprietary exploration technology built by our data scientists and software engineers. Our field programs validate and improve the system and have demonstrated material improvements over conventional exploration methods
KoBold is privately held and our investors include: institutional asset managers T. Rowe Rice and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Bill Gates’s Breakthrough Energy Ventures, BOND Capital, Standard Investments, and Sam Altman’s Apollo Projects; and leading natural resources companies Equinor, Mitsubishi, and BHP.
We are hiring a Senior Data Scientist to help accelerate our mission.
About the position
In this role, you will build predictive models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will be creating models and developing software to accelerate discovery of critical battery metals.
You will join an outstanding team of data scientists and engineers and will work closely with KoBold’s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work.
Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up.
Responsibilities
The Data Scientist will:

Help develop KoBold’s proprietary software exploration tools.
Find and curate a wide variety of geospectral, geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system.
Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.
Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.
Develop and apply a range of data processing, statistical, and physics-based techniques to geoscientific data — from computer vision to geophysical inversions — and use the results to guide our targeting efforts and inform our acquisition and exploration decisions.
Present to and collaborate with our external partners and stakeholders.

Qualifications
A great Data Scientist candidate will have:
Technical skills, including extensive experience with:

Python’s data science packages and general software engineering practices.
Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.
SQL, as well as familiarity with non-relational databases.
Cloud computing resources.
Building a wide variety of predictive models, applying them to different problems, and evaluating and interpreting the results.
Working with a broad range of types of data including data from physical systems.
Geospatial analyses and visualizations.

Technical knowledge:

Broad skills in and knowledge of applied statistics
Substantial understanding of Machine Learning algorithms

Training and work experience:

An advanced degree in the physical sciences, engineering, computer science, or mathematics.
Post-degree work experience as a data scientist or data engineer. KoBold is willing to consider candidates at the Data Scientist, Senior Data Scientist, or Staff Data Scientist levels, with commensurate compensation, however recent bachelor’s/master’s candidates are unlikely to be competitive.

Work practices and motivation:

Ability to take ownership and responsibility of large projects.
Enjoys constantly learning such that you are and driving insights and innovations.
Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers.
Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.
Ability to independently prioritize multiple tasks effectively.

It is also helpful but not required to have experience with:

Creating machine learning models on geospatial data
Geostatistics
Image processing or computer vision
Distributed computing applications for machine learning and other computations
Containerization solutions

KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, marital status, disability, or veteran status.
This position is full-time, exempt.
The US base salary range for this full-time exempt position is $120,000-$150,000
Location: Remote from any location in the US or Canada.


Data Scientist Strategic Finance

The Strategic Finance team is focused on solving some of Figma’s most pressing business issues. The team is responsible for owning the company's budget and top level business objectives, driving annual and quarterly planning processes, and performing financial analysis to inform our business strategy. You’ll be bringing a high level of rigor to the highest priority business issues and will interface regularly with senior leaders at the company. The ideal candidate is a great communicator with both technical and non technical counterparts, extremely detail oriented, and comfortable with ambiguity. Familiarity with financial data would be a huge plus.

This is a full time role that can be held from one of our US hubs or remotely in the United States.

What you'll do at Figma:

Take ownership of our financial data pipelines

Partner with the Strategic Finance team to improve financial forecasting methods

Perform data analysis and build models such as customer LTV and propensity to buy to refine our long term strategy

Drive metrics understanding and operationalize usage of KPIs
Collaborate with cross organizational teams including finance, growth, product, marketing and sales to set team level targets that contribute to company objectives.
Prepare metrics updates for the executive team and the broader company.

We’d love to hear from you if you have:

3+ years relevant work experience
Fluency in SQL
Proficiency in Python, R or similar scripting language

Experience in distributed data processing systems (Hive, Redshift, Presto, Snowflake, etc)

Firm knowledge around statistical methods, including forecasting
Excellent judgment and creative problem solving skills
A self-starting mindset along with strong communication and collaboration skills

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Read more about our team:

From experiment to launch
By the numbers: one year of remote work
Measuring the value of design systems
Figma’s Series D:  The Decade of Design
Figma's engineering values


Senior Data Scientist Data Platform

Every developer has a tab open on Stack Overflow.
We are one of the most popular websites in the world - a community-based space focused on increasing productivity, decreasing cycle times, accelerating time to market, and protecting institutional knowledge.
Innovation is at the heart of everything we do. We embrace collaboration, transparency, and believe in leading with empathy; creating an environment where every Stacker knows they belong. We embrace that the unique contributions and points of view of all Stackers contribute to our success.
We are a Best Company to Work For, in addition to being recognized for Best Company Leadership, Best Company Happiness, Best Company Perks and Benefits, Best Company Work-Life Balance, Best Company Compensation, and Best Company Outlook.
We are a remote-first company with Hiring HUBs based in the US, Canada, UK, and Germany.
The Data Platform team at Stack Overflow builds and maintains the data processing and analytic pipelines that democratize access to data across our organization. Your cross-functional team will optimize flow and collection of all of our product and business data, enabling data at scale for Stack Overflow. You will own relationships with business customers and build models that enable our users to better find the information they are looking for.
What you’ll do:
Architect data pipelines to collect and transform data necessary for training and serving LLMs
Continuously improve LLM performance and accuracy
Establish metrics for user activity
Act as a thought leader and influence across the company to collect data to drive additional models
Assemble large, complex data sets that meet functional / non-functional business requirements
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
What we expect from you:
Proven track record of working with large-scale LLMs
5+ years experience building and optimizing ML/NLP models
Strong analytic skills related to working with unstructured data sets
A track record of leading and mentoring less experienced data scientists. You are eager to teach others and invested in the growth of your team.
Self-motivating, self-directing, and a great communicator (written and oral). You thrive in an environment that grants you a lot of autonomy to explore creative solutions.
Excellent problem solving skills. You excel at analyzing and solving problems using technology.
Hiring remotely in US or Canada
Base salary will range from: $152K - $180K
Please note the salary range above is for candidates hired in the U.S. only. For all countries outside of the U.S, the salary range will be adjusted accordingly to reflect local market compensation ranges.
What you’ll get in return:
Competitive Base Salary
Generous paid vacation
Generous parental leave (16 weeks at 100% pay), family care leave, and unlimited sick days
Equity (RSUs) for all employees at all levels
Industry-leading health benefits that are applicable per country of residence for all our full-time employees
Company-paid Life Insurance
Health & wellness stipend
Home Internet stipend
Professional allocation for your growth and development
One-time allowance to assist with your home office setup
Company-paid access to Calm, Bravely, LinkedIn Learning, MyAcademy and Overdrive
Stack Overflow is proud to be an equal opportunity workplace. We value diversity, inclusion, equity and belonging and these pillars are at the heart of how we work together here at Stack. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.
For individuals based in California, and other locations where required, we will consider employment qualified applicants with arrest and conviction records.


Sr Product Data Scientist

Philo: TV on the Internet (TVoIP)
At Philo, we’re a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we’re building the TV experience that we’ve always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences.
Data Science at Philo
Data underpins everything we do at Philo: making informed business decisions; analyzing and improving the quality of our streaming experience; running product experiments to optimize our signup flows; and making it easier for our users to find the perfect thing to watch. On the Data Science team, we’re looking for someone who is comfortable working on a variety of interesting engagement, content discoverability, experimentation, and retention-related problems across our streaming service. You’ll be working closely with other data scientists, analysts, and engineers to build and deploy solutions directly for our service.
We are passionate about problem-solving and providing data-informed insights for the entire company using both cutting-edge techniques and proven practices in close collaboration with every department. To complete our work we build on modern open-source tools including dbt, GrowthBook, Robyn, Superset, and PyTorch as well as SaaS tools such as Segment, SageMaker, AWS Glue, Mode, Avo, and BigEye.
Some of the recent projects our Data Science team members have worked on include:
Modeling to determine which early product behaviors predict conversion
Running experiments to evaluate content personalization
Building data models for analysis of lifecycle marketing communications
Price sensitivity research and competitive market analyses
Qualifications
Philo is seeking a Senior Product Data Scientist with demonstrated understanding of statistical modeling, A/B/n experimentation practices, SQL, and experience independently developing data driven insights. This data scientist will have the opportunity to leverage massive structured, unstructured, transactional, and real-time data sets from a variety of sources, analyze financial and customer usage patterns, and make actionable recommendations to product, marketing, engineering, and business development teams.
In this role the Senior Product Data Scientist will support the entire product development lifecycle from product ideation and opportunity sizing to measurement and experiment design, and from causal analysis and post-launch learning to the next development cycle. Senior Data Scientists at Philo contribute to mentorship and leadership on the Data team whether they are people managers or individual contributors. Individuals with prior experience with people management or an interest in people management will have the opportunity to add that responsibility to their role at Philo.
Responsibilities:
Build a deep understanding of how subscribers use Philo on each of our streaming platforms, including where they run into problems as well as identifying new features and defining the metrics to evaluate those features
Own analytics and tracking plans, within several development work streams, from metric definition and data instrumentation design to ongoing reporting and research
Iteratively improve our experimentation methods and establish best practices for A/B/n experiments
Establish curated dashboards that will serve as the primary source by which we evaluate the performance of features
Run queries to support ad-hoc product questions and create Mode dashboards and other visualizations for stakeholders
Understand user flows, user behaviors, and long-term trends in our data to identify opportunities for new features
Own your analytics projects, proactively identify issues and opportunities, test hypotheses, and propose solutions
Collaborate with groups company-wide (e.g. business development, advertising operations, marketing, and support) on KPIs, including lifetime value, retention, win-back, and content consumption metrics
Key Qualifications:
10+ years of experience in a Data Science role
Demonstrated ability to influence product roadmaps and business decisions with data
Proven expertise in experimental design (including but not limited to A/B testing), principles of causal inference, and statistical techniques
Experience with relational databases and SQL
Strong written and verbal communication skills, with the ability to explain and present analytical methodology and results to non-technical audiences
Expert with statistical analysis in either R or Python
Strong analytics fundamentals – a degree in statistics, economics, a related field, or similar professional experience
Experience in writing production-quality code in R/Python, productionizing data models and statistical models with tools such as Git, Sagemaker, and dbt, and using software engineering best practices around version control, review, and automated testing
More about Philo
We strive to build engaging and easy to use streaming apps across a large number of platforms (Android Mobile, Android tablets, Android TV, Amazon FireTV, Roku, iOS, Apple TV, Samsung, and web), while delivering a large variety of content to our users.
Today there are over 60 channels included in our basic package -- our lineup includes many popular cable networks, like A&E, Accuweather, Animal Planet, AXS TV, BBC America, BET, Cheddar, ComedyCentral, CMT, Discovery Channel, Food Network, Game Show Network, Hallmark, HGTV, IFC, INSP,Lifetime, MTV, Newsy, Nickelodeon, OWN, Paramount Network, Sundance, TV One, Vice and VH1. We also offer premium add-on channels from Starz and Epix, and we’re always adding more content!
We’re a company that puts people first — both our subscribers and our team. At Philo, our philosophy is to empower our colleagues to do their best work while supporting each other in pursuing shared goals. We value pragmatism, pride in our work, and passion. We believe in having transparency and openness across all parts of the company. We are committed to diversity and inclusion as we grow the Philo team and shape the future of TV -- we believe that a diverse set of voices and perspectives on our team enables us to innovate faster and create the best experience for our subscribers.
Philo is headquartered in San Francisco, with additional offices in New York and Cambridge, MA. Our leadership team includes a cofounder of Facebook as well as alums of Meraki and HBO. Philo is backed by NEA and industry partners including Discovery, Viacom, AMC, and A&E.
Status: Full-timeLocation: Brooklyn, NY or remoteCompensation: Includes annual salary between $160K-$210K depending on experience and location, company stock options, and health benefits
We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team:
Full health, dental and vision coverage for you and your family
Flexible working hours
Generous paid parental leave
Unlimited paid time off for vacation and sick leave
$2000 annual vacation bonus (we pay you to take a two week vacation)
$5250 annually for professional development and educational assistance
$1250 annual home office + TV stipend
$500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices
Dog-friendly office
And much more!
For California Residents: Philo’s CCPA Notice at Collection – Employees, Applicants, Owners, Directors, Officers and Contractors
Apply Now


Sr Growth Marketing Data Scientist

Philo: TV on the Internet (TVoIP)
At Philo, we’re a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we’re building the TV experience that we’ve always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences.
Data Science at Philo
Data underpins everything we do at Philo: making informed business decisions; analyzing and improving the quality of our streaming experience; running product experiments to optimize our signup flows; and making it easier for our users to find the perfect thing to watch. On the Data Science team, we’re looking for someone who is comfortable working on a variety of interesting growth and marketing problems. You’ll be working closely with other data scientists, analysts, marketing managers, and engineers to build and deploy solutions directly for our service.
We are passionate about problem-solving and providing data-informed insights for the entire company using both cutting-edge techniques and proven practices in close collaboration with every department. To complete our work we build on modern open-source tools including dbt, GrowthBook, Robyn, Superset, and PyTorch as well as SaaS tools such as Segment, SageMaker, AWS Glue, Mode, Avo, and BigEye.
Some of the recent projects our Data Science team members have worked on include:
Modeling to determine which early product behaviors predict conversion to a paid subscriber
Building in-house marketing attribution models to evaluate marketing channel performance (Marketing Mix Models and Multi-touch Attribution)
Performing matched market lift tests in collaboration with marketing managers
Price sensitivity research and competitive market analyses
Qualifications
Philo is seeking a Senior Growth Marketing Data Scientist with demonstrated understanding of statistical modeling (in R and/or Python), SQL, and experience independently developing data driven insights. This data scientist will have the opportunity to leverage massive structured, unstructured, transactional, and real-time data sets from a variety of sources, analyze financial and customer usage patterns, and make actionable recommendations to product, marketing, engineering, and business development teams.
In this role the Senior Growth Marketing Data Scientist will support the entire product development lifecycle from product ideation and opportunity sizing to building and delivering software tools for our marketing team, including measurement and experiment design, and from causal analysis and post-launch learning into the next development cycle. Senior Data Scientists at Philo contribute to mentorship and leadership on the Data team whether they are people managers or individual contributors. Individuals with prior experience with people management or an interest in people management will have the opportunity to add that responsibility to their role at Philo.
Responsibilities:
Build a deep understanding of how subscribers are acquired on each of our streaming platforms, including where they run into problems as well as proposing new approaches
Develop a unified approach to measuring marketing performance by combining multiple methods of marketing measurement including Marketing Mix Modeling (MMM), Geo-based experimentation, and Multi-touch Attribution (MTA) to evaluate and  iteratively optimize the performance of our marketing efforts
Collaborate with groups company-wide (e.g. business development, advertising operations, marketing, and support) on KPIs, including lifetime value measurement and optimizing customer acquisition costs
Establish curated dashboards and reporting that will serve as the primary source by which we evaluate the performance of our growth efforts
Run queries to support ad-hoc product questions and create Mode dashboards and other visualizations for stakeholders
Own your analytics projects, proactively identify issues and opportunities, test hypotheses, and propose solutions
Create and analyze surveys to understand consumer perceptions and to reinforce qualitative research findings
Build and deploy machine learning and statistical models such as Customer Lifetime Value, Segmentation, time-series forecasting end to end through scoping, researching, prototyping, and productionizing with tools such as Git, Sagemaker, dbt, Robyn
Key Qualifications:
10+ years of experience in a Data Science role
Demonstrated ability to influence product roadmaps and business decisions with data
Proven expertise in building and improving marketing attribution models, including techniques such as Bayesian methods for hierarchical modeling, ridge regression, and methods for handling missing data
Proven expertise in experimental design (including but not limited to A/B testing), principles of causal inference, and statistical techniques
Experience with relational databases and SQL
Strong written and verbal communication skills, with the ability to explain and present analytical methodology and results to non-technical audiences
Expert with statistical analysis in either R or Python
Strong analytics fundamentals – a degree in statistics, economics, a related field, or similar professional experience
Experience in writing production-quality code in R or Python and delivering software tools in an iterative fashion using software engineering best practices around version control, review, and automated testing
More about Philo
We strive to build engaging and easy to use streaming apps across a large number of platforms (Android Mobile, Android tablets, Android TV, Amazon FireTV, Roku, iOS, Apple TV, Samsung, and web), while delivering a large variety of content to our users.
Today there are over 60 channels included in our basic package -- our lineup includes many popular cable networks, like A&E, Accuweather, Animal Planet, AXS TV, BBC America, BET, Cheddar, ComedyCentral, CMT, Discovery Channel, Food Network, Game Show Network, Hallmark, HGTV, IFC, INSP,Lifetime, MTV, Newsy, Nickelodeon, OWN, Paramount Network, Sundance, TV One, Vice and VH1. We also offer premium add-on channels from Starz and Epix, and we’re always adding more content!
We’re a company that puts people first — both our subscribers and our team. At Philo, our philosophy is to empower our colleagues to do their best work while supporting each other in pursuing shared goals. We value pragmatism, pride in our work, and passion. We believe in having transparency and openness across all parts of the company. We are committed to diversity and inclusion as we grow the Philo team and shape the future of TV -- we believe that a diverse set of voices and perspectives on our team enables us to innovate faster and create the best experience for our subscribers.
Philo is headquartered in San Francisco, with additional offices in New York and Cambridge, MA. Our leadership team includes a cofounder of Facebook as well as alums of Meraki and HBO. Philo is backed by NEA and industry partners including Discovery, Viacom, AMC, and A&E.
Status: Full-timeLocation: Cambridge, MA or remoteCompensation: Includes annual salary between $160K-$210K depending on experience and location, company stock options, and health benefits
We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team:
Full health, dental and vision coverage for you and your family
Flexible working hours
Generous paid parental leave
Unlimited paid time off for vacation and sick leave
$2000 annual vacation bonus (we pay you to take a two week vacation)
$5250 annually for professional development and educational assistance
$1250 annual home office + TV stipend
$500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices
Dog-friendly office
And much more!
For California Residents: Philo’s CCPA Notice at Collection – Employees, Applicants, Owners, Directors, Officers and Contractors
Apply Now


Sr Lead Data Scientist Deep Learning Peacock Video Streaming

Company Description
NBCUniversal owns and operates over 20 different businesses across 30 countries including a valuable portfolio of news and entertainment television networks, a premier motion picture company, significant television production operations, a leading television stations group, world-renowned theme parks and a premium ad-supported streaming service.
Here you can be your authentic self. As a company uniquely positioned to educate, entertain and empower through our platforms, Comcast NBCUniversal stands for including everyone. Our Diversity, Equity and Inclusion initiatives, coupled with our Corporate Social Responsibility work, is informed by our employees, audiences, park guests and the communities in which we live. We strive to foster a diverse, equitable and inclusive culture where our employees feel supported, embraced and heard. Together, we’ll continue to create and deliver content that reflects the current and ever-changing face of the world.
Job Description
Our Direct-to-Consumer (DTC) portfolio is a powerhouse collection of consumer-first brands, supported by media industry leaders, Comcast, NBCUniversal and Sky. When you join our team, you’ll work across our dynamic portfolio including Peacock, NOW, Fandango, SkyShowtime, Showmax, and TV Everywhere, powering streaming across more than 70 countries globally. And the evolution doesn’t stop there. With unequalled scale, our teams make the most out of every opportunity to collaborate and learn from one another. We’re always looking for ways to innovate faster, accelerate our growth and consistently offer the very best in consumer experience. But most of all, we’re backed by a culture of respect. We embrace authenticity and inspire people to thrive.
As part of the Peacock Data Science team, the Sr. Lead Data Scientist will be responsible for creating analytical solutions for one or more verticals of Peacock Video Streaming Service including, but not limited to, the recommender system, streaming content predictive modeling and MarTech.

In this role, the Sr. Lead, Data Scientist will serve as an expert in advanced statistical and machine learning methodologies and lead a group of data scientists to create analytical solutions for multiple business verticals.
Responsibilities include, but are not limited to
Work with a group of data scientists in the development of analytical models using statistical, machine learning and data mining methodologies.Drive the collection and manipulation of new data and the refinement of existing data sources.Translate complex problems and solutions to all levels of the organization.Collaborate with software and data architects in building real-time and automated batch implementations of the data science solutions and integrating them into the streaming service architecture.Drive innovation of the statistical and machine learning methodologies and tools used by the team.
This position is eligible for company sponsored benefits, including medical, dental, and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $165,000 - $190,000 (bonus and long-term incentive eligible)
Qualifications
Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent.5+ years of combined experience in advanced analytics in industry or research.Experience with commercial recommender systems or a lead role in an advanced research recommender system project.Working experience with deep learning, particularly in the areas different form the computer vision. Strong experience with deep learning using TensorFlow.Experience implementing scalable, distributed, and highly available systems using Google Could Platform.Experience with Google AI Platform/Vertex AI, Kubeflow and Airflow.Proficient in Python.  Java or Scala is a plus.Experience in data processing using SQL and PySpark.
Desired Characteristics
Experience in media analytics and application of data science to the content streaming  and TV industry.Good understanding of reinforcement learning algorithms.Experience with multi-billion record datasets and leading projects that span the disciplines of data science and data engineeringKnowledge of enterprise-level digital analytics platforms (e.g. Adobe Analytics, Google Analytics, etc.)Experience with large-scale video assetsTeam oriented and collaborative approach with a demonstrated aptitude and willingness to learn new methods and tools
Additional Information
NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable.
If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations in the US by calling 1-818-777-4107 and in the UK by calling +44 2036185726.


Data Scientist Dl Ai Modeling Forecasting Canada

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.  Our employees bring deep expertise in Data Science, Machine Learning, and AI.  We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.   We are looking for a robust Data Scientist preferably, with a Ph.D. who holds solid knowledge of deep learning, quick learner, and has strong coding capabilities. This person will be responsible for writing complex production-level codes.Key Responsibilities Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision-making; focus on the “how and why” of solutions. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers. Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements. Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.   Ph.D. (highly preferred) or Master in Statistics, Economics, Data Science, Computer Science, or a related field. At least 5+ years of extensive Data Science experience with super deep knowledge in AI, and DL modeling coding capability as this person needs to make designs happen. Strong statistics foundation and knowledge of statistical packages. Proficiency with Python and SQL and ability to write complex Python codes and SQL queries.A solid knowledge of deep learning, quick learner, and a strong coding capability. This person will be responsible for writing complex production-level codes. Hands-on experience building models is a must.  Experience with demand forecasting and/or supply chain/retail forecasting is a must. Data Visualization in Tableau/PowerBIExceptional communication and collaboration skills to understand business partner needs and deliver solutions.This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.


Data Scientist

About Spruce

Spruce is the platform enabling modern real estate transactions. We work with forward-thinking mortgage lenders, real estate companies, and investors. We believe that the future of real estate will be driven by automation, efficiency, and digital experiences. Our mission is to  provide the products and services necessary to make that happen.

What you'll do

Work closely with Product, Engineering, and Operations as part of a team building the industry’s first automated title search platform
Use Python to collect and parse real estate records from 3rd party data sources
Using this data, train and implement predictive underwriting models
Convert existing offline prototype models to fully automated, high performance production systems

What you'll bring

1-2 years working experience as a data scientist or data engineer
Experience with Python and SQL in a work setting
Experience working with data scientists and data analysts
Experience following a test-driven development process

Strongly Preferred
Advanced degree in a quantitative field or equivalent
Working knowledge of web-scraping packages such as Selenium
Experience developing and / or implementing statistical models, especially in the ML / AI family

$115,000 - $145,000 a year
We are proud of the team we’re building. We're committed to equal opportunity employment -- and beyond. We believe diverse experiences and perspectives build a stronger team and a better product. We welcome fresh perspectives and challenge our own assumptions to make Spruce better. The more inclusive we are as a company, the better we can serve our customers.


Data Scientist

Company Description:
Quartet is a leading tech-enabled behavioral health company that works with health plans, systems, and provider groups to deliver speed to quality behavioral health care for all. Through sophisticated data and analytics, along with personalized services, Quartet exists to advance quality care as defined by four measures: speed to care, seamless patient experiences, improved health outcomes, and affordability. The company is backed by venture funding from top investors including Oak HC/FT, GV (formerly Google Ventures), F-Prime Capital Partners, Polaris Partners, Deerfield Management, Echo Health Ventures, Centene Corporation, and Independence Health Group.
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.
About the team & opportunity:
As a 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 for matching patients to behavioral health providers; data modeling for behavioral health risks given claims data).
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 algorithms 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 exploratory analyses to support core organizational objectives for internal stakeholders and external partnerships.
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 and 2+ years experience working as a data scientist.
Formal training in statistics and computer science.
Knowledge of mathematical fundamentals: probability theory, linear algebra and statistics.
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, UNIX command line, and 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:

Experience working within a healthcare technology environment
Comfort and experience working with Docker
Application and API development experience in Python
Strong background in Machine Learning (ML) Engineering

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
Have someone to refer? Email talent@quartethealth.com to submit their details to us.


Data Scientist

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

Job Description:
This role will provide advanced analytics support within the Business Analytics function that applies the power of data with machine learning to improve business outcomes across the Health and Risk Solutions business. This role is expected to work closely with the other functional teams, in particular the Clinical 360, PinnacleCare and Health Capability teams. This position reports to the Associate Director, Data Science within the Health and Risk Solutions business. Responsibilities include helping to develop, monitor and maintain the predictive models to support such use cases as identifying members for our clinical review process, identifying health capability opportunities, and/or proactive outreach for health navigation engagement.  Additional responsibilities may include applying machine learning techniques to streamline and automate aspects of these processes, and promoting adoption of analytic solutions deployed.What will you do?

Apply data science techniques to solve business problems across a broad range of data analysis functions including predictive analysis, data modeling, visualization, and data profiling.

Utilize multiple sources of data, including structured and unstructured data, along with broad range of machine learning techniques to improve insights of the models.

Support the development of new modeling techniques and procedures.

Develop and maintain high-quality, robust predictive models using advanced analytic techniques.

Extract and analyze internal and external data sources to help answer key business problems related to risk assessment.
What will be needed to succeed?
Proficiency with a one or more statistical programming languages, applications and data environments (e.g., Python, SQL, R, Tableau).
Strong knowledge of data science including conditioning, modeling, and visualization.
Strong knowledge of the fundamental statistical and AI underpinnings of data science.
Expertise in data munging, transformation, and featurization.
Commitment to data compliance, model governance and security protocols.
Strong business acumen to understand why and how the work we do will impact our business stakeholders.
Strong communication skills, with an ability to explain technical concepts to a non-technical audience.
BS/MS in a statistical, mathematical, or technical field (e.g., computer science).
2+/0+ years of experience in developing and implementing data science techniques.
What will be nice to have?Healthcare Claims data or health insurance experience preferred.What is in it for you?Excellent benefits with generous vacation and sick time, 401K match, noncontributory retirement plan, Paid Family Medical Leave, sabbatical program and much more friendly, collaborative and inclusive culture.Our agile work environment allows our employees the flexibility to give and feel their best at work.Not ready to apply yet but want to stay in touch? Join our talent community to stay connected until the time is right for you!  Life is brighter when you work at Sun Life -Excellent benefits and wellness programs to support the three pillars of your well-being – mental, physical and financial – including generous vacation and sick time, market-leading paid family, parental and adoption leave, a partially-paid sabbatical program, medical plans, company paid life and AD&D insurance as well as disability programs and more -Retirement and Stock Purchase programs to help build and enhance your future financial security including a 401(k) plan with an employer-paid match as well as an employer-funded retirement account  -A flexible work environment with a friendly, caring, collaborative and inclusive culture  -Great Place to Work® Certified in Canada and the U.S.  -Named as a “Top 10” employer by the Boston Globe's “Top Places to Work” two years running   All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.   If you are a California resident, the salary range for this position is: -Southern region: $75,000 - $112,500  annually    -Central region: $ 79,100 - $118,700  annually   -Northern region: $ 84,600 - $126,900  annually     If you are a Colorado resident, the salary range for this position is $ 71,600 - $107,400  annually.   If you are a New York resident, the salary range for this position is $84,600 - $126,900 annually.   If you are Washington resident, the salary range for this position is $79,100 - $118,700 annually.   -The full range minimum and maximum listed in the job posting is tied to the GCF level and job family.    We consider various factors in determining actual pay including your skills, qualifications, and experience.  In addition to salary, this position is eligible for incentive awards based on individual and business performance as well as a broad range of competitive benefits.  Sun Life Financial is a leading provider of group insurance benefits in the U.S., helping people protect what they love about their lives. More than just a name, Sun Life symbolizes our brand promise of making life brighter -for our customers, partners, and communities. Join our talented, diverse workforce and launch a rewarding career. Visit us at www.sunlife.com/us to learn more.  At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.   #LI-remoteOur Affirmative Action Program affirms our commitment to make reasonable accommodation to the known physical or mental limitation of otherwise-qualified individuals with disabilities or special disabled veterans, unless the accommodation would impose an undue hardship on the operation of our business. Please email recruitingUS@sunlife.com to request an accommodation.At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.
For applicants residing in California, please read our employee California Privacy Policy and Notice.

Job Category: Advanced AnalyticsPosting End Date: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


Research Statistician

Research Statistician I College Board – Psychometrics NYO or Remote   About the Team The Psychometrics Team supports College Board in serving more than seven million students a year as they prepare for a successful transition to college through programs and services in college readiness and college success. College Board’s Psychometrics provides its partners with measurement solutions that set the standard for quality, efficiency and innovation through operational excellence and research leadership that advances the field of Psychometrics and supports College Board’s mission of access and equity in Education.  About the Opportunity This Research Statistician I position is part of the Advanced Placement Psychometric team and will be responsible for supporting both operational and research psychometric work. You will have opportunities to innovate and help find new or improved ways to accomplish the tasks at hand. You will work individually and collaboratively with members of the team and the greater organization on operational data and statistical analyses, research discovery, documentation, procedures, reporting projects, and research projects.     In this role you will: Statistical Analysis
Support operational work by performing standardized analyses
Support statistical analyses using large-scale internal data
Produce standard tables and graphical displays of large-scale statistical results
Produce data aggregations (descriptive statistics, correlation coefficients)
Write basic queries, programs, and generate reports representing a variety of formats

Work with a variety of data files representing item-, student-, school-, district-, institution-, state- and national-levels
Data Manipulation

Help organize data into a variety of formats to permit for use in specialized statistical software used for research or psychometric work
Manipulate output from statistical analysis for use in statistical analyses

Quality Management

Maintain process maps and procedures for efficient and thorough documentation of how the statistical analyses were completed and reports were generated
Create and maintain dataset documentation and layouts
Implement QC procedures on all statistical analyses
Identifying and implementing the quality checks and validations for critical business process changes/impacts.
Performing detailed review of project deliverables/outputs such as process documents, publications, requirements etc.

Research

Support the fulfillment of large-scale, strategically important research and analysis projects
Undertake research and analysis projects as secondary investigator
Implement QC procedures on all statistical analyses
Provide personalized data representing a variety of data sources (internal) to research scientists and psychometricians. These data include student performance, meta data, standards, student overall test scores, school/district/institution data and related attributes

Provide research support and guidance to colleagues
About you
You have:

Bachelor’s degree in statistics, social science, math/science field or equivalent experience
One to three years of demonstrated proficiency with statistical analysis programing (SAS, R, or Python preferred)

Experience handling and manipulating large-scale data
Experience with Microsoft Office programs (Word, Excel, Access, PowerPoint, and Outlook), with an emphasis on MS Word and Excel
Scripting and programming skills, and data-oriented personality
Strong organization, prioritization, and multitasking skills, both independently and as the member of a team
Adept problem-solving skills, including using data to inform decisions and actions

Research skills and expertise in methodology
Ability to translate general inquiries into analysis questions and tasks
Excellent communication and interpersonal skills

Keen attention to detail
Ability to function in a team-oriented unit

About Our Benefits and Compensation
College Board offers a strong compensation and benefits package that attracts top talent looking to make a difference in education.
Our robust benefits package includes health, dental, and vision insurance, tuition assistance, paid time off, paid parental leave, retirement benefits with a generous matching program, and more.

We reward performance through annual bonuses and provide opportunities for salary growth over time through base compensation increases, merit raises and promotions.
We believe in compensating staff members fairly in relation to each other, their qualifications, and their impact. The salary range for a new employee in this position is $56,000-100,000 USD. The salary offer of an individual candidate within this range is specific to their location and qualifications.
Each salary offer is determined carefully using internal and external benchmarking and adjusting for the candidate’s location. You will have an opportunity to discuss salary in more detail after you begin the application process.

As a self-sustaining non-profit organization with global impact, College Board offers a job that matters, a team that cares, and a place to learn, innovate and thrive!
#LI_gg1#LI_Remote


Research Scientist Nlp

Kensho is a 100-person Machine Learning (ML) and Natural Language Processing (NLP) company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions. We are owned by S&P Global and operate independently. Our toolkit illuminates insights by helping the world better understand, process, and leverage messy data. Specifically, Kensho’s solutions largely involve speech recognition (ASR), entity linking (NED), structured document extraction, automated database linking, text classification, and more. We are continuously expanding our portfolio and are looking for passionate researchers to help us create state-of-the-art models across a variety of domains!

Are you looking to solve hard problems and enjoy working with teammates with diverse perspectives? If so, we would love to help you excel here at Kensho. We are a collaborative group of experienced Research Scientists and Machine Learning Engineers, whose academic backgrounds include doctorate degrees in NLP, theoretical physics, statistics, etc. We take pride in our team-based, tightly-knit startup-like Kenshin community, which fosters continuous learning and a communicative environment.

About the role:
Since early-2022, we have been building a world-class R&D lab comprised of ML/NLP Research Scientists. Our small team has demonstrated compelling results and is fueling innovation throughout Kensho and S&P Global at large. Specifically, we are continuously building a domain-specific Large Language Model (LLM) and are actively working on question-answering (QA), summarization, and document layout analysis.

We are looking to hire NLP Research Scientists with expertise in any of the following: question-answering, summarization, dialog system, reinforcement learning, and distributed systems. In particular, we are currently prioritizing question-answering and are addressing:

-Dialog-based QA that leverages APIs, program synthesis, and large knowledge-graphs/databases to help ensure accurate answers
-Long-form document QA, where the answer is expected to be contained within a user-specified collection of documents
-Math-based QA, where the answer requires automatically parsing tables for relevant information and then performing basic mathematical operations to yield the correct answer (e.g, FinQA, TAT-QA, ConvFinQA)

You will collaborate with our R&D team in conducting and publishing research in the top conferences.

At Kensho, we hire talented people and give them the freedom, support, and resources needed to accomplish our shared goals. We believe in flexibility-first and give our employees the opportunity to work from where they feel most productive and engaged (must be in the United States). We also value in-person collaboration, so there may be times when travel to one of our Kensho hubs (e.g., Cambridge, MA or NYC) will be required for team meetings or company events.

What You'll Do:

Collaborate with others to identify the most promising problems to pursue
Develop novel, state-of-the-art NLP models that can scale to millions of documents
Work closely with Research Scientists and ML Engineers
Write clean, readable research code in PyTorch, TF, or JAX (not expected to write production-level code)
Contribute to a stellar engineering culture that values excellent design, documentation, testing, and code
Share your research results with your colleagues (presentations) and the world (published papers, patents, and blog posts)

Who You Are:

Outstanding people come from all different backgrounds, and we’re always interested in meeting talented people! Therefore, we do not require any particular credential or experience. If our work seems exciting to you, and you feel that you could excel in this position, we’d love to hear from you. That said, most of our successful candidates possess the following, which reflects both our technical needs and team culture:
Hold a PhD in Computer Science or related field (or a Master’s with significant research experience)
Have published in a top-tier ML/NLP conference (e.g., ACL, NAACL, EMNLP, NeurIPS, ICML)
Are proficient in writing code in PyTorch, Tensorflow, or JAX
Have experience with the techniques required to work effectively with large, messy real-world data
Prefer to collaborate iteratively on hard problems with your teammates rather than spending stretches of time working alone and presenting your results intermittently
Have a love for learning new skills and domains
Are excited to share knowledge freely, proactively, and effectively with others who are interested
Are a generous teammate who takes work seriously without taking yourself too seriously

Technology We Love

ML: PyTorch, Weights & Biases, NetworkX
Deployment: Airflow, Docker, EC2, Kubernetes, AWS
Datastores: Postgres, Elasticsearch, S3

At Kensho, we pride ourselves on providing top-of-market benefits, including:

-       Medical, Dental, and Vision insurance
-       100% company paid premiums
-       Unlimited Paid Time Off
-       26 weeks of 100% paid Parental Leave (paternity and maternity)
-       401(k) plan with 6% employer matching
-       Generous company matching on donations to non-profit charities
-       Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences
-       Plentiful snacks, drinks, and regularly catered lunches
-       Dog-friendly office (CAM office)
-       In-office gyms and showers (CAM, DC)
-       Bike sharing program memberships
-       Compassion leave and elder care leave
-       Mentoring and additional learning opportunities
-       Opportunity to expand professional network and participate in conferences and events

About Kensho
Kensho is an Artificial Intelligence company that builds solutions to uncover insights in messy and unstructured data that enable critical workflows and empower businesses to make decisions with conviction.

Kensho was founded in 2013 and was acquired by S&P Global in 2018. Kensho continues to operate as a startup in order to maintain our distinct, independent brand and to promote our breakthrough, innovative culture. Our team of Kenshins enjoy a dynamic and collaborative work environment that runs autonomously from S&P Global, while leveraging the unparalleled breadth and depth of data and resources available as part of S&P Global.  As Kenshins, we pride ourselves on maintaining an innovative culture that depends on diversity and inclusion.

We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with offices in New York City, and Washington D.C.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.


Senior Data Scientist

At Shelf Engine, our mission is to reduce food waste through automation. We harness the power of AI to provide real-time, intelligent forecasting for food retailers, suppliers, and food service companies across the United States. We’re able to drastically reduce the amount of food waste which in turn drives profit for our customers, lowers costs for consumers, and reduces the negative ecological and social impacts of waste.
We are excited to invite applicants for the role of Senior Data Scientist to report directly to our Head of Data Science. As part of the Data Science team, you will research, build, and launch new algorithms and solutions to solve complex problems for a rapidly evolving product. The goal is to help Shelf Engine develop best-in-class machine learning and advanced statistical models to achieve business objectives. If you have a passion for problem solving, working collaboratively with a great team of data scientists and engineers, and making a huge social impact, this may be your dream job.
This position is based in Seattle, WA or remote.
As a Senior Data Scientist at Shelf Engine, you will:
Research, build, and launch machine learning and advanced statistical models to solve complex problemsBe part of a highly collaborative and supportive Data Science teamProvide technical mentorship and expand training to improve data science best practices Design, analyze, and interpret the results of experimentsCommunicate project results to a range of internal audiencesWork closely with Product, Engineering, Operations, and customer-facing teams to identify problem areas and develop robust, scalable solutionsEmbrace our company principles through inclusive, authentically-kind, and empathetic interactions with our team and our customers
What we are looking for in a candidate:
You embrace our company principles: make the first move, make better decisions, be furiously curious, commit and deliver, have empathy, invent solutions, be authentic2+ years industry experience with some combination of:Experience putting models into production or with a live online system (code quality, testing, monitoring)Experience working with big data and standard tooling (e.g. Python, SQL, Spark)Experience with performance monitoring and automated alertingExperience with production ML tooling (e.g. Airflow, Databricks, Azure, AWS, or GCP)You have experience in advanced machine learning (e.g., SVM, Random Forest, Bayesian inference, neural networks, etc), statistics, experimentation, and optimizationYou have a Masters or PhD degree in a STEM fieldYou are authorized to work in the U.S. for any employerNice to have: experience building supply chain or inventory management solutions
What Shelf Engine offers you:
A unique opportunity to join a fast-growing sustainability startup early on, making a meaningful impact on the team as well as the environmentAn inclusive work environment that emphasizes each team member’s personal and professional growthCompetitive salary in the range of $140,000 to $180,000 depending on skills and experiencePre-IPO equity with a four-year vesting schedulePTO that is unlimited and self-managed for full-time employees100% employer-paid premiums for medical, dental, and vision insurance for employees, and 50% covered for eligible dependentsCoverage for life insurance, short- and long-term disability, and access to a robust Employee Assistance ProgramOptional employee contribution of pre-tax dollars to medical and dependent care FSA accounts401k plan through Guideline to contribute to your financial futureSeattle only: Company-paid ORCA transit card
About Us
At Shelf Engine, you will join an inclusive team of driven, passionate, and caring people hungry for change in an untapped industry. Our founders are well versed in the food industry and have successfully built product and engineering teams. We’re not only solving complex technical problems at scale but tackling key initiatives with large environmental impacts. We're a tight-knit and passionate team that is determined to disrupt a massive industry and leave behind a positive legacy for generations to come.
Shelf Engine is an equal opportunity employer and does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Senior Data Scientist Mlops

At Shelf Engine, our mission is to reduce food waste through automation. We harness the power of AI to provide real-time, intelligent forecasting for food retailers, suppliers, and food service companies across the United States. We’re able to drastically reduce the amount of food waste which in turn drives profit for our customers, lowers costs for consumers, and reduces the negative ecological and social impacts of waste.
Shelf Engine is searching for a talented Senior Data Scientist to report directly to our Head of Data Science. In this role, you will be responsible for designing, developing, and maintaining the data pipelines and engineering infrastructure that support data science models at scale. You will also help develop and deploy scalable tools to provide experimentation tracking, model deployment, drift detection, and other model maintenance. In addition, you will research, build, and launch new algorithms and solutions to solve complex problems for a rapidly evolving product. The goal is to help Shelf Engine develop and deploy best-in-class machine learning and advanced statistical models to achieve business objectives. If you have a passion for problem solving, working collaboratively with a great team of data scientists and engineers, and making a huge social impact, this may be your dream job.
This position is based in Seattle, WA or remote.
As a Senior Data Scientist at Shelf Engine, you will:
Implement cutting-edge tools and technologies that enable model training, registration, deployment, and monitoring at scaleWork closely with Data and Software Engineers to ensure reliability of our live production environmentProvide technical mentorship and expand training to improve data science best practices Work closely with Product, Operations, and Customer teams to identify problem areas and develop robust, scalable solutionsResearch, build, and launch machine learning and advanced statistical models to solve complex problemsEmbrace our company principles through inclusive, authentically-kind, and empathetic interactions with our team and our customers
What we are looking for in a candidate:
You embrace our company principles: make the first move, make better decisions, be furiously curious, commit and deliver, have empathy, invent solutions, be authentic3-5 years industry experience with some combination of:Experience putting models into production or with a live online systemExperience working with big data and standard tooling (e.g. Python, SQL, Spark)Experience with performance monitoring and automated alertingExperience with production ML tooling (e.g. Databricks, Azure, AWS, or GCP)You have worked in a production environment and can incorporate testing, monitoring model performance, Git, and Airflow into your workflowYou have experience in advanced machine learning, statistics, experimentation, and optimizationYou have a Masters or PhD degree in a STEM fieldYou are authorized to work in the U.S. for any employer
What Shelf Engine offers you:
A unique opportunity to join a fast-growing sustainability startup early on, making a meaningful impact on the team as well as the environmentAn inclusive work environment that emphasizes each team member’s personal and professional growthCompetitive salary in the range of $140,000 to $180,000 depending on skills and experiencePre-IPO equity with a four-year vesting schedulePTO that is unlimited and self-managed for full-time employees100% employer-paid premiums for medical, dental, and vision insurance for employees, and 50% covered for eligible dependentsCoverage for life insurance, short- and long-term disability, and access to a robust Employee Assistance ProgramOptional employee contribution of pre-tax dollars to medical and dependent care FSA accounts401k plan through Guideline to contribute to your financial futureSeattle only: Company-paid ORCA transit card
About Us
At Shelf Engine, you will join an inclusive team of driven, passionate, and caring people hungry for change in an untapped industry. Our founders are well versed in the food industry and have successfully built product and engineering teams. We’re not only solving complex technical problems at scale but tackling key initiatives with large environmental impacts. We're a tight-knit and passionate team that is determined to disrupt a massive industry and leave behind a positive legacy for generations to come.
Shelf Engine is an equal opportunity employer and does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Staff Data Scientist New Initiatives

Company Description
Dropbox is a special place where we are all seeking to fulfill our mission to design a more enlightened way of working. We’re looking for innovative talent to join us on our journey. The words shared by our founders at the start of Dropbox still ring true today.

Wouldn’t it be great if our working environment—and the tools we use—were designed with people’s actual needs in mind? Imagine if every minute at work were well spent—if we could focus and spend our time on the things that matter. This is possible, and Dropbox is connecting the dots.

The nearly 3,000 Dropboxers around the world have helped make Dropbox a living workspace - the place where people come together and their ideas come to life. Our 700+ million global users have been some of our best salespeople, and they have helped us acquire customers with incredible efficiency. As a result, we reached a billion dollar revenue run rate faster than any software-as-a-service company in history.

Dropbox is making the dream of a fulfilling and seamless work life a reality. We hope you’ll join us on the journey.
Team Description
Our Product team advocates for our users and our business, setting the vision for our growing family of products. We use data, research, strategy, and empathy to guide multidisciplinary teams toward a common goal, balancing diverse perspectives and empowering our teams to do great work. As we scale globally, there’s plenty of space for you to grow alongside us and simplify life for millions of people around the world in team that always focuses on we, not I, and creates delightful products that are worthy of trust.
Role Description
How many times you get an opportunity to be at the ground floor on a very big and important mission?  What if you get to be one of the top contributors defining the mission, guiding our teams and influencing the direction of Dropbox AI-first mission?  As a Staff Data Scientist for this new division, you will exactly get to do that.  You will join a team of top-tier data scientists and be an inherent part of the product org to create and scale this new business.
As a ground floor opportunity for this startup team, we need this staff DS to build a top-tier data-informed culture with a lot of focus on AI/ML impact and execution!
Responsibilities
You will serve as the data leader in balancing urgency vs. the incredibly high quality bar expected by both our customers and the broader Dropbox organization, through clear and repeatable data informed approachYou will partner closely with leadership across all functions while being focused on the AI/ML team work - Product, Engineering, Design, and ResearchYou will have the seat at the table for every key decision for AI-first strategiesYou will build the reliable, efficient, and scalable data foundations and daily execution standards, tools, and processes for our AI/ML capabilities’ long-term growthYou will create a culture of strong technical ownership, resulting in highly reliable products and services at scaleYou will leverage data-driven insights to proactively identify most impactful opportunities, and inform future experimentation design and product roadmapsYou will perform analytical deep-dives to analyze AI related user problems and opportunities, identify the hypothesis and design & execute experiments with great rigor and efficient data techniques
Requirements
Masters’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field8+ years experience of leveraging data-driven analysis to influence key business decisions and executives, preferably in a tech company5+ years serving as a AI/ML technical leader and having hands-on experiences to work with data scientists, engineers, product managers, user researchers, and designersProven track record of being able to work independently and proactively engage with business stakeholders with minimal direction & driver measurable business impactAbility to influence prioritization and execution of high impact projects effecting customer experience, monetization, and entire organization’s roadmapAbility to analyze large datasets and have first-hand experiences of owning ML models from A to Z including data collection to deploying the models in the production environment, with a track record of driving directly measurable product or business impact. Be proficient with SQL, Python and other coding languages frequently applied in the AI/ML production environment, with deep understanding of statistical analysis & experiment designPrevious experiences coaching and mentoring Jr data scientists to scale the team productivity
Total Rewards
For candidates hired in San Francisco metro, New York City metro, or Seattle metro, the expected salary/On-Target Earnings (OTE) range for the role is currently $210,800 - $248,000 - $285,200.
For candidates hired in the following locations: Austin (TX) metro, Chicago metro, California (outside SF metro), Colorado, Connecticut (outside NYC metro), Delaware, Massachusetts, New Hampshire, New York (outside NYC metro), Oregon, Pennsylvania (outside NYC or DC metro), Washington (outside Seattle metro) and Washington DC metro, the expected salary/On-Target Earnings (OTE) range for the role is currently $189,700 - $223,200 - $256,700.
For candidates hired in all other US locations, the expected salary/On-Target Earnings (OTE) range for this role is currently $168,600 - $198,400 - $228,200.
Range(s) is subject to change. Dropbox takes a number of factors into account when determining individual starting pay, including job and level they are hired into, location/metropolitan area, skillset, and peer compensation. Dropbox uses the zip code of an employee’s remote work location to determine which metropolitan pay range we use.
Salary/OTE is just one component of Dropbox’s total rewards package. All regular employees are also eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
Dropbox is committed to investing in the holistic health and wellbeing of all Dropboxers and their families. Our benefits and perks programs include, but are not limited to:
Competitive medical, dental and vision coverage
(US Only) Competitive 401(k) Plan with a generous company match and immediate vesting
Flexible Time Off/Paid Time Off, paid holidays, 11 Company-wide PTO days, Volunteer time off and more
Protection Plans including; Life Insurance, Disability Insurance and Travel benefit plans
Perks Allowance to be used on what matters most to you, whether that’s wellness, learning and development, food & groceries, and much more
Parental benefits including; Parental Leave, Child and Adult Care, Day Care FSA (US Only), Fertility Benefits (US Only), Adoption and Surrogacy support and Lactation Support
Mental Health and Wellness benefits Free Dropbox space for your friends and family
Additional benefits details are available upon request.
Dropbox is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, Latinx, Pridebox (LGBTQ), Vets at Dropbox, Women at Dropbox, ATX Diversity (based in Austin, Texas) and the Dropbox Empowerment Network (based in Dublin, Ireland).


Decision Scientist

About Us
At Tydo, you’ll get the benefits of working directly in the consumer product world while also tackling exciting data visualization and science problems. We are meeting-lite, lean, focused, and hungry. We solve complex problems with boring solutions and build products that benefit the customer over all else. We enjoy working with each other and are excited to help Brands and their Partners grow.
We are a data first company; we load it, transform it, and tell stories with it. We’re backed by Founder’s Fund, Greylock Partners, YCombinator and top-tier eCommerce and fintech founders.
About the Role
We are seeking a skilled Decision Scientist with outstanding SQL skills to join our Analytics team. You'll play a pivotal role in our company's success by closely collaborating with top D2C Brands and Partners to create customized reporting solutions. In this role, you will leverage your expertise in data analysis, modeling, and visualization to extract insights and help customers grow their businesses. A large part of this role will also entail finding ways to scale out dashboard creation through automation. Today, this will be working directly with the Data Team to design new schemas and reusable internal data products. In the future, it will be building more sophisticated data and reporting packages at scale with a team to implement individual dashboards.
The ideal candidate possesses strong communication skills, enabling them to effectively understand client needs and present actionable insights to a diverse range of stakeholders, ultimately shaping the future growth and success of Tydo and the D2C ecosystem.
Why the Role Is Unique
Model Complex, Real-World Problems - The highest impact data products for modern D2C businesses arise from where discrete data are joined. In this role, you’ll leverage the Tydo data platform to derive complex insights from services that businesses rely on to operate. As a data expert, you’ll also have the opportunity to research and implement solutions on novel metrics and models.See Your Impact - You will work directly with ecommerce and product leaders in companies that are revolutionizing the consumer landscape. Unlike traditional Data Science roles, you’ll see firsthand how Brands and Partners rely on your modeling to grow their business.Combination of DTC + SaaS - You get the best of both worlds: B2C and B2B. We aren’t your typical SaaS company in that we are catering to people who understand how to market to consumers REALLY well. So we get to be experts in both.Inside View of Leading Companies - This role is an interesting way to get an inside view of strategies from leading DTC companies. You will get to learn from the leaders, understand trends across the industry, and become a knowledge expert in growing industries like DTC, e-commerce, analytics, performance marketing and machine learning.
Responsibilities
Collaborate closely with D2C brands and partners to understand their specific data and reporting requirements.Develop, implement, and maintain customized reporting solutions built with SQL and Python that address client needs and drive data-driven decision-making.Apply statistical modeling techniques to uncover hidden patterns, trends, and insights that inform business strategies.Create visually appealing and easy-to-understand data visualizations and dashboards for clients, including technical and non-technical stakeholders.Stay up-to-date with industry best practices, emerging technologies, and trends in data science, ensuring our solutions remain competitive.Work cross-functionally with our Product, Engineering, and Data teams to help drive data product architecture and strategy.
About You
At least 2-4 years of experience in an analytical role, having worked in a related area such as operations, finance, customer acquisition or retention.B.A./B.S in Math, Statistics, or related quantitative discipline.Located in Western US Time zone. Big plus if in West Los Angeles.A strong background in quantitative analysis, specifically in advanced modeling techniques to solve business problems in operations and finance, such as forecasting demand, inventory planning, and LTV and cohort analysis.Advanced SQL knowledge (window function, CTE, etc) as well as applied experience of statistical analysis techniques in a related field, such as financial modeling, customer segmentation, and working with discrete data sets from core business servicesYou’re a strong analytical thinker with experience working with large datasets, including statistical analyses, data visualization, data mining, and data cleansing/transformation.You have strong project management skills and a sense of ownership over your work including monitoring and maintenance.You have excellent problem-solving skills and the ability to get up to speed on complex systems, break down problems, and develop rigorous quantitative POVs very quickly.A true self-starter, comfortable working in a fast-paced environment, managing your own priorities and adapting where challenges and opportunities are commonplace. You are enthusiastic about remote work.Advanced Data visualization skills in Looker or similar product is a plus.


Sr Data Scientist Search Relevance Zoro

Company Summary:
Zoro offers millions and millions of products — an endless aisle with everything you need to run your business. We offer fast and free shipping, no-hassle returns, and exceptional customer service. We’ve grown quickly in a short time and are continuing to do so while aggressively growing our revenue. We are excited to be a part of an award-winning culture — we have been named a Great Place to Work for multiple years in a row, among other local and national accolades. We think Zoro is a pretty amazing place to work and grow, and think you will too!
Position Description:
Are you ready to take on the technical challenges of a very successful and fast-growing eCommerce company backed by an industry leader? At Zoro, we are transforming from a scrappy startup into an eCommerce juggernaut, and we want your talent to help us get there. That means there are plenty of opportunities to get hands-on with transformative work which make an impact each and every day.
Zoro’s Technology Group is embarking on an exciting journey to build an in-house search platform, which will be one of the core technologies that separates us from our competitors. We want to develop a platform that is tailored to Zoro’s product assortment and specific user needs so that customers can easily navigate our 10M+ products to find what they need.
Our team is responsible for providing Zoro customers with relevant search results by effectively combining ElasticSearch capabilities, data science models, and technology solutions. We’re looking for an experienced Senior Data Scientist who understands search engines such as ElasticSearch and/or Solr. As a member of the Search team, you’ll be an integral part of a talented, cross-functional group that will build and operate dynamic and scalable systems powering a core functionality of our customer experience.
You will collaborate with other data scientists and analysts to solve complex information retrieval problems using NLP, predictive modeling, deep learning and more. You will also work closely with software engineers and product managers to address business priorities and integrate solutions into the broader search platform. Your experience, your knowledge and your perspective will add value on our journey and help the team deliver products that make a difference.
Our product teams deliver constant improvements to zoro.com. You will be on a high performing scrum team with approximately 2-3 data scientists, 4-6 software engineers as well as a dedicated tech lead, product owner, and architect.
Responsibilities:
Lead the configuration of ElasticSearch queries, algorithms and analyzers based on internal data structures and customers’ search patterns
Have experience working in information retrieval technologies, ingest pipelines, and indexing layers
An understanding of relevance engineering (experience with Elasticsearch, Solr and/or Lucene is a plus) and relevance tuning
Develop solutions involving NLP, product retrieval and ranking to serve our customers with relevant results
Tune application performance by investigating the slow performing requests and analyzing the resource utilization of the application infrastructure
As a senior data scientist, you’ll be expected to contribute to standards that improve developer workflows, recommend best practices, and help mentor junior team members to grow their technical expertise
Comfortable working in a collaborative, ambiguous, fast-paced and dynamic work environment to help solve complex problems
Expected to work effectively with engineers, product managers, data scientists, analysts and business stakeholders
Produce clean, high-quality code, tests, and well written documentation
Participate in code and design reviews with peers and partners
Qualifications:
Degree in Computer Science, Data Science, a related technical or scientific field, or equivalent experience
5+  years experience as a data scientist
Experience of Information Retrieval and/or Natural Language Processing
Strong preference given to candidates with demonstrated domain knowledge in eCommerce Search and Recommendations technologies
Experience with Search platforms such as Solr and ElasticSearch, including configuration and schema optimization
Experience of software development in Python
Experience using Docker and/or Kubernetes, Istio
Experience working with web applications, web services, and/or APIs at scale
Experience with large-scale data processing
Zoro Values and Inclusive Culture:
We share a commitment to our Zoro values – Win & Lose Together (We prefer winning!), Take Ownership, We Are Transparent, and Aspire to be Customer-Obsessed. Everything we do at Zoro is centered around delighting our customers. It's a natural extension of our company culture and how we care for each other. We believe when we act in ways that are consistent with these values, we can solve any technical challenge that lies ahead of us. As a Zoro employee, you can expect to work with smart, energetic people, learn something every day, and be valued for your perspective.
Zoro is dedicated to fostering an environment where people of all backgrounds and beliefs are represented, and all team members can be confident that their experiences and perspectives are valued. Zoro aims to empower all employees to learn about, raise awareness, and promote diversity and inclusion through all of our workplace interactions. Zoro is a place where everyone can learn, grow and thrive.
We recognize the courage and effort it takes to apply for your next opportunity. We also recognize that there is rarely such thing as a perfect candidate. Even if you do not meet every qualification, we still encourage you to apply -- we do not want to miss out on meeting the next person who could emerge as a key contributor to our business and culture.
#li-remote
Zoro is an Equal Opportunity Workplace and an Affirmative Action Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.