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 growth, engagement, and retention-related problems across our streaming service. You’ll be working closely with other data scientists 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.
Some of the recent projects our Data Science team members have worked on include:

Modeling to determine which early product behaviors predict conversion
Creation of minimum detectable effect calculators for experiment sizing
Deploying new content recommendation engines
Identification of trending regional content
Price sensitivity research and competitive market analyses

Qualifications
Philo is seeking a Product Data Scientist with demonstrated understanding of statistical modeling, 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 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.
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
Own analytics, within several development work streams, from metric definition and data instrumentation design to ongoing reporting and research
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
Create and analyze surveys to understand consumer perceptions and to reinforce qualitative research findings

Key Qualifications:

6-10+ 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
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

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, 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.
Projected Start Date: ASAPStatus: Full-timeLocation: Boston, NY, San Francisco, or remoteCompensation: Includes annual salary between $130K-$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)
$5000 annually for professional development and educational assistance
$500 “TV stipend” for new employees to upgrade their home watching setup
$1000 annual home office stipend for employees to upgrade their home work setup
$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


Data Scientist Provider Experience

At UnitedHealthcare, we’re simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and equitable. Ready to make a difference? Join us and start doing your life's best work.(sm)
The Provider Experience Data Scientist will leverage their expertise in data science and consumer analytics to create transformative data-driven solutions that lead to better consumer experience and higher efficiencies in the UHC Consumer operations domain.
We’re looking for someone with advanced proficiency in statistics, model building, validation and deployment, natural language processing and machine learning techniques and a well-developed communication, data storytelling / visualization skill set.
This role is responsible for the creation and evaluation of data science models using advanced statistical techniques and for generating data-driven insights by analyzing structured and unstructured data in the provider analytics domain. Individuals in this role will work closely with junior and senior data scientists and statisticians to deliver solutions across the UHC provider journey spectrum.
By understanding the capabilities, strategies, financial and operational goals of stakeholders, successful individuals in this role will identify opportunities to leverage data science or core analytic solutions to drive higher efficiency and improve customer experience across UHG.
You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
Work with vast amounts of data from multiple sources to develop/refine/improve predictive models using advanced Python and machine learning techniques. Significant focus on leveraging the unstructured and structured data from UHC provider journeys Deliver high-impact actionable insights to senior leadership and business operations; enable data-driven decision-making across the enterprise to improve the efficiency and effectiveness of UHC Operations, while focusing on provider experience improvement Perform exploratory data analysis from structured, unstructured, and diverse datasets; apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement Helping source, clean, prepare and verify integrity of data to be used for analysis Discover and communicate actionable insights to decision makers. Make presentations to sr. executives and decision-makers Partner with various functions to produce innovative and transformative data science solutions which directly contribute to achieving enterprise goals and vision
You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
Undergraduate degree in a highly quantitative field Experience handling terabyte size datasets, diving into data to discover hidden patterns, using data visualization tools (such as Tabeau or PowerBI), advanced proficiency in SQL Experience performing exploratory data analysis from structured, unstructured, and diverse datasets; apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement Experience developing innovative analytic solutions, and predictive models, creating actionable insights, and drive better decisions and performance to help the business achieve its business objectives Experience developing queries and models to evaluate results and formulate solutions to drive process & performance improvement Experience developing visionary and creative analytic solutions to measure business performance; identifies / quantifies drivers, risks and opportunities and defines solutions to mitigate risks and leverage opportunities Experience influencing senior leadership to adopt new ideas, projects and / or approaches Experience working with vast amounts of data from multiple sources to deliver high-impact actionable insights to senior leadership and business operations; enable data-driven decision-making across the enterprise to improve the efficiency and effectiveness of UHC Operations Understand operations at a deep level, develop metrics and report on critical outcomes Advanced proficiency in Python, with deep experience using libraries such as NumPy, Pandas, Maplotlib,  scikit-learn, TansorFlow, etc. Advanced proficiency in Excel Demonstrated business focus; excel at connecting business requirements to analytic objectives and to measurable business benefit Demonstrated partner with various functions to produce innovative and transformative data science solutions which directly contribute to achieving enterprise goals and vision Serve as a subject matter expert in data science.  Provide guidance and mentorship to team members
Preferred Qualifications:
Master’s Degree or higher in a highly quantitative field 3+ years of hands-on experience in Natural Language Processing (NLP) based solution development, using machine learning in general and deep learning techniques Experience with Spark Demonstrated experience in solving problems like text classification using both supervised & unsupervised techniques, Natural Language Generation (NLU), entity recognition, transfer learning, language modeling and transformer-based architecture Experience in any of the following: Omnichannel strategy, Customer Service Analytics, Call Optimization and Experience with Spark Experience with cloud-based analytic services Demonstrated experience in frameworks such as FastAi, Hugging Face & Pytorch Advanced proficiency in fine tuning, training, and validating a text classifier algorithm Proficient in exploring & analyzing unstructured / text data and conclude findings/insights Obviation strategy, digital and messaging adoption, Provider behavioral analytics
Careers with UnitedHealthcare. Work with a Fortune 5 organization that’s serving millions of people as we transform health care with bold ideas. Bring your energy for driving change for the better. Help us improve health access and outcomes for everyone, as we work to advance health equity, connecting people with the care they need to feel their best. As an industry leader, our commitment to improving lives is second to none.
California, Colorado, Connecticut, Nevada, New York, Rhode Island, or Washington Residents Only: The salary range for California, Colorado, Connecticut, Nevada, New York, Rhode Island or Washington residents is $85,000 to $167,300. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you’ll find a far-reaching choice of benefits and incentives.
*All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.
Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
UnitedHealth Group is a drug – free workplace. Candidates are required to pass a drug test before beginning employment.


Performance Marketing Analyst

Why USAA?
At USAA, we have an important mission: facilitating the financial security of millions of U.S. military members and their families. Not all of our employees served in our nation’s military, but we all share in the mission to give back to those who did. We’re working as one to build a great experience and make a real impact for our members.
We believe in our core values of honesty, integrity, loyalty and service. They’re what guides everything we do – from how we treat our members to how we treat each other. Come be a part of what makes us so special!
The Opportunity
We are seeking a talented Performance Marketing Decision Science Analyst capable of leading teams and initiatives focused on continuous performance outcomes, implementing and testing new techniques/technology, improving customer experiences and driving improved marketing investment decisions to drive member and product growth plans.
This Senior position can be based in one of our following office locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Tampa, FL, Colorado Springs, CO, Charlotte, NC or work remotely in the continental U.S. with occasional business travel.
This is a critical role providing decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.
What you'll do:
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.Leverages advanced business, analytical and technical knowledge to participate or lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.Applies advanced analytical techniques to solve business problems that are typically medium to large scale with significant impact to current and/or future business strategy.Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate changeTranslates recommendation into communication materials to effectively present to various levels of management.Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.Provides subject matter expertise in operationalizing recommendations.Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data)Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc) or formal (E.g. Certifications or advanced coursework).
What you have:
Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.6 years of data & analytics experience OR a minimum of 4 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing etc.) for a total of 6 years combined experience OR advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline and 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing, etc.).Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.
What sets you apart:
Digital marketing analytical experience in Insurance, Banking or RetailHigh acumen in performance marketing with emphasis on digital landscape, including programmatic advertising, social, search, email as well lower funnel focused marketing channels such as affiliate and direct mailStrong communication and storytelling skills with an ability to synthesize data and deliver meaningful insights for actionExperience working within a continuous performance minded team, focusing on business outcomes and driving optimizations in a fast-paced environment with limited supervisionHigh acumen and application of Test and Learn – designing, leading, executing, and analyzing resultsExperience in marketing analytical processes and measurement frameworks and Adtech adoption. (MMM, Attribution Methodologies, Google Analytics, Adobe)Experience implementing emerging technology and techniques for analytical purposesExperience working within cross-functional team environments with strong relationship managementExperience working in Agile
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
What we offer:
Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. The salary range for this position is: $104,660 - $194,200.
Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.
Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
For more details on our outstanding benefits, please visit our benefits page on USAAjobs.com.
Relocation assistance is NOT available for this position.
USAA is an Equal Opportunity Employer. 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.


Senior Product Data Scientist

Rec Room is the best place to build and play games together. Chat, hang out, explore MILLIONS of rooms, or build something new to share with us all! As a Senior Product Data Scientist at Rec Room, you will be responsible for a large strategic area and will use data to be an advocate for our players. Your insights into what users are doing on the platform will inform broader team strategy and impact their short and long-term roadmap. You'll be equal parts leader, investigator, and storyteller, shaping experiences towards delighting players and building a sustainable business.
As we scale, Product Data Scientists will embed within individual teams, and as the Senior Product Data Scientist, you would be expected to drive product thinking at the broader team level and guide other data scientists as needed. You might be helping the econ team think through how to scale the buyer and builder ecosystem, or helping the growth team think through how to give users more reason to return to the app. You might also help the User Generated Content team think through how to enable creators to build the best products, or the Social team how to make a player's experience more meaningful. The questions and potential for impact are huge.
WHAT YOU'LL DO:

Work closely with our designers and developers to understand what users are doing on the platform. Broadly communicate those findings to the immediate team and beyond.
Define top-level business and team KPIs, establish learning agendas, measurement plans, and success metrics in close coordination with the product team.
Work with teams to build a culture of goal setting and accountability.
Drive changes to our product roadmap based on quantitative insights.
Structure thoughtfully designed A/B tests and up-level broader team through rigorous understanding of test results.
Contribute as needed to improve overall infrastructure - including building pipelines, data documentation, and dashboarding.
Work with the ML team as needed to develop novel features and understand performance.

WE ARE LOOKING FOR INDIVIDUALS WITH:

5+ years of product analytics experience, with a proven track record of deriving insights that lead to product changes
A Bachelor’s or Masters in Math, CS, or related field
Significant expertise in experimentation methodologies
Very strong knowledge of SQL
Experience with Python or R is a plus
Experience with manipulating and analyzing complex, high-volume data
A constant desire to learn, improve, and help others improve
Effective communicator with the ability to distill complex concepts into easily digestible insights

COMPANY INFO TO KNOW:
The base pay range for this position is $138,750-231,250 per year; however, the base pay may vary depending on job-related knowledge, location, skills, and experience. Stock options and, in some cases, a sign-on bonus may be offered as part of the compensation package. We also offer a full slate of benefits, including flexible vacation, medical, dental vision, life and disability coverage, long-term care insurance, FSA, commuter benefits, a 401(k) plan with company match, and a parental leave program. We also offer some not-so-standard benefits, including equipment, family, and pet care stipends.
Rec Room provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.


Crypto Data Scientist

Token Metrics is searching for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

As a machine learning engineer, you should demonstrate solid data science knowledge and experience.

A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive models.

Responsibilities

Consulting with the manager to determine and refine machine learning objectives.
Designing machine learning systems and self-running artificial intelligence (AI) to automate predictive models.
Transforming data science prototypes and applying appropriate ML algorithms and tools.
Ensuring that algorithms generate accurate user recommendations.
Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
Developing ML algorithms to analyze huge volumes of historical data to make predictions.
Stress testing, performing statistical analysis, and interpreting test results for all market conditions.
Documenting machine learning processes.
Keeping abreast of developments in machine learning.

Requirements

Bachelor's degree in computer science, data science, mathematics, or a related field.
Master’s degree in computational linguistics, data science, data analytics, or similar will be advantageous.
At least two years' experience as a machine learning engineer.
Advanced proficiency with Python, Java, and R code.
Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
In-depth knowledge of mathematics, statistics, and algorithms.
Superb analytical and problem-solving abilities.
Great communication and collaboration skills.
Excellent time management and organizational abilities.

About Token Metrics

Token Metrics helps crypto investors build profitable portfolios using artificial intelligence based crypto indices, rankings, and price predictions.

Token Metrics has a diverse set of customers, from retail investors and traders to crypto fund managers, in more than 50 countries.


Data Scientist Geospatial

The Position
The Research and Innovation team at Global Fishing Watch connects data science and machine learning experts with leaders in the scientific community to produce new datasets, publish impactful research, and empower others to use our data.
We aim to reveal the activity of all ocean-going vessels in the world. Because most vessels do not broadcast their locations using the automatic identification system (AIS), we need to draw on satellite imagery to see all vessels. Additionally, the ocean is experiencing an accelerated expansion of offshore infrastructure. Thus, to quantify the true global footprint of fishing and non-fishing vessel activity, as well as the evolution of fixed infrastructure at sea, Global Fishing Watch is applying deep learning and data fusion techniques to petabytes of satellite imagery (radar and optical), and AIS.
The data scientist will play a key role supporting the Research and Innovation team’s work to integrate multiple data sources into the most complete picture of human activity at sea. The position’s major activities will include data fusion using statistical methods to combine the outputs of our object detection models and AIS. Other activities include, but are not limited to, improving the labelling of data for training object detection models, and developing algorithms for geospatial analysis to advance Global Fishing Watch datasets, as well as maintaining code repositories, and assisting the development of research projects.
The successful candidate will have an interest in environmental issues and a versatile skill set in geospatial analysis, statistics and programming. The incumbent will build diverse technical skills in programming, big data, and cloud computing and gain a variety of experience working for a globally diverse, fully distributed, and growing organization.

Principal Duties and Responsibilities
Geospatial data fusion and analysis

Improve upon methods in Kroodsma et. al (2022), including 1) matching radar/optical vessel detections to AIS and 2) estimating total vessel presence using the improved methods

Integrate detections from multiple sources (e.g. Sentinel-1 SAR and Sentinel-2 optical), accounting for the recall of each model, length of the objects, cloudiness, and image resolution, among others
Improve training datasets for vessel and fixed infrastructure detection models and build new training datasets for other human-made objects, potentially managing contractors to generate labels.

Additional tasks may include

Provide technical support to the senior data scientist(s) responsible for developing and advancing other Global Fishing Watch datasets
Analyze large amounts of data from various sources, such as vessel activity, identity, and satellite imagery to identify trends, anomalies, and insights
Maintain and improve automated processes to extract and compile data from publicly available sources, such as vessel registries
Ensure the integrity and accuracy of key data pipelines and research tables
Maintain and improve internal Python tools, such as modules and template repositories, to assist with migrating research projects from proof-of-concepts to automated prototypes

Candidate description
Qualifications you should have

Graduate degree and at least two years of professional experience, or an equivalent combination of education and experience
Experience developing analysis methods with Python
Strong foundation in mathematics and statistics
Experience in geospatial analysis of satellite imagery and remotely sensed data
Ability to work with large datasets and visualize data effectively
Experience with version control software and collaboration tools such as git and GitHub
Highly organized, analytical, detail oriented and self-motivated
Ability to work efficiently and with an eye for detail
Willingness to take ownership of projects and effectively communicate updates in a transparent and proactive manner
Ability to manage multiple priorities while performing in a fast-paced, collaborative environment

Also great

Some experience with additional programming languages such as SQL and R
Familiarity with containerization tools like Docker
Experience engaging with academic researchers and the peer-review process
An understanding of the complexities and collaboration required to work effectively for a globally remote organization

If you don't think you check all the boxes, but believe you have unique skills that make you a great fit for the role, we want to hear from you!

Additional Information
Reporting to: Senior data scientist
Location: Remote
Staff: Research and Innovation
Hiring Process: If selected for consideration, the hiring process for this position will include a formal 45 minute interview with 2-3 staff followed by a 30 minute administrative call by an Human Resources manager. Candidates advancing beyond this round may be asked to take a technical assessment and/or submit a representative code sample. Lastly, an informal 30-45 minute call with 3-4 members of the Research and Innovation team will be held with finalists.
Compensation: Compensation is commensurate with experience and will vary depending on the hired candidate’s country of residence, in accordance with local laws and regulations. For reference purposes, the estimated annual salary range for a US employee is $90,000-$100,000. Global Fishing Watch offers pension/retirement, health and other benefits commensurate with similar level Global Fishing Watch employees in the country of employment.
Working Hours: Global Fishing Watch supports flexible working, so the pattern of hours may vary according to operational and personal needs. Global Fishing Watch works across different time zones and weekend work may be required on occasion. The post holder may be required to undertake periodic domestic and international travel. No overtime is payable.
Equal Opportunities: GFW is an equal opportunities employer. We hire and promote qualified professionals without regard to actual or perceived race, color, religion, sex, sexual orientation, gender, national origin, age, disability, or any other characteristic protected by applicable law. We believe that our mission is best advanced when welcoming the contributions of people of diverse backgrounds, beliefs and cultures. We are committed to providing an inclusive and welcoming environment for all employees of GFW and our partners, vendors, suppliers and contractors.

Please apply by Friday, 5 May 2023


Data Scientist Measurement Inference

About the Role
As a Data Scientist (measurement & inference) you will ensure that AI outputs fit customer preferences at granular scale via segmentation, experimentation, and developing models which anticipate and prioritize customer behavior.
Our target market is composed of content creators and marketing leaders at growing companies. We help companies leverage artificial intelligence to accelerate content production and unlock their best ideas. We see AI as a partner to content marketers that can help them break through writer’s block, create fine-tuned imagery, and repackage content for different formats, languages and tones.
The role is open to candidates located in the US and can be remote within the United States. We have offices in Austin, TX and Salt Lake City, UT with employees based across the US and Australia. We've built a strong foundation to support remote employee engagement with other teams. We have a mix of experience levels and backgrounds, and we’re building an environment that celebrates knowledge sharing, mentoring and career growth.
What you will do at Jasper:

Develop state of the art user segmentation and clustering, design and execute causal inference strategies employed now and in the future, set the strategic roadmap for intervention optimization beyond A/B experiments (bandits, etc.)

Research measures of customer acceptance on generated output using state of the art large language models to extract semantic meaning, segmentation, clusters, and gauge quality and complexity.

Own the experimentation roadmap for the data org, work with leadership to build strategic confidence in the experimentation framework, define what success looks like for the product roadmap.

Implement large scale ETLs on metrics and measurements you develop to track, correlate to long term business outcomes, and work with partner teams to move them through experimentation.

Test hypotheses and implement findings about how to improve user experience with the models that power our product. Once validated, working to implement findings as AI product modifications which increase customer delight or scale. Findings may also be used to advise our research partners or product managers on new directions

What you will bring to Jasper:

Experience getting AI/ML to value, including NLG and feature engineering. Experience with text, image, and other R&D communities is a plus (~2 years per level)
Commitment to rigorous A/B testing and causal inference, as well as an interest in user experience and behavior, and trust and safety
A willingness to be technique, method, and tool agnostic and systematically turn any knob that might improve customer outcomes
Strong knowledge of frameworks such as TensorFlow, PyTorch, Keras

Compensation Range
At Jasper, we believe in pay transparency and are committed to providing our employees and candidates with access to information about our compensation practices. The expected base salary range at offer for this role is $180,000- $258,000. Compensation may vary based on relevant experience, skills, competencies and certifications.
Benefits & Perks

Comprehensive Health, Dental and Vision coverage beginning on first day for our employees and families (Jasper.ai covers 100% of the premium for employees)
Unlimited PTO
401(k) program with company matching
Monthly wellness reimbursement and flexible time-off to encourage a healthy work-life balance
Generous budget for home office set up
Learning and development opportunities
Paid parental leave
Travel perk program

Our goal is to be a diverse workforce that is representative at all job levels as we know the more inclusive we are, the better our product will be. We are committed to celebrating and supporting our differences and that diversity is essential to innovation and makes us better able to serve our customers. We hire people of all levels and backgrounds who are excited to learn and develop their skills.
We are an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition or any protected category prohibited by local, state or federal laws.


Principal Data Scientist

The Data Platform team works closely with all teams and cross-functional partners (including product, engineering, and data analysts) to build a foundational data stack powering business analytics.
We are looking for someone to play a mission-critical role in designing and building the machine models for Recommendations, Personalization, Risk, and Fraud that powers Bolt. This should be someone with experience, creativity, and passion for producing world-class technology. Companies and consumers alike will rely heavily on what you build, and you’ll have a ton of trust and responsibility. If challenges excite you, and you’re ready for a large one, let us know.
Responsibilities

Build production ready machine learning models; your models will be the engine that powers all online commerce through Bolt
Conduct data analysis to determine which policies we adopt and help inform strategic growth
Build machine learning infrastructure, data pipelines and production ready services to serve live traffic
Work with other teams at Bolt to engineer new features for models or new product features that help improve Bolt business
Be the go to technical individual contributing leader for all Data related questions, tasks, and projects at Bolt

Requirements

Degree in Computer Science, Computer Engineering, or related field
7+ years of experience building machine learning models for personalization, recommendation, or similar applications.
Thorough understanding of machine learning fundamentals and methodologies
Experience building and deploying machine learning models in an applied setting
Strong understanding of how to build scalable ML systems supporting online and offline applications
Experience working with machine learning libraries and frameworks such as scikit-learn, TensorFlow, PyTorch, Spark ML
Familiarity with best practices of lifecycle management for ML models in industry
Mastery of a programming language such as Python, Java, Scala

Preferred

PhD in computer science or related field
Experience with big data technologies such as BigQuery, Spark, Dataflow, Apache Beam, Pubsub, Cloud Functions, EMR, S3, Glue, Kinesis Firehose, Lambda, etc.
Industry experience in building large-scale recommendation systems in a consumer-based setting.

Check out our Engineering Blog!
#LI-Remote


Data Scientist

Join us in our mission to become the most loved fan engagement platform.
About Us: Performance Predictions is a sports technology start-up based in Atlanta that delivers innovative technologies focused on increasing sports fan engagement. With our flagship game, PrizePicks, we set out to build the most fast & simple fantasy sports game possible.
The Analytics Team is responsible for building and maintaining analytics tools and workflows to support the PrizePicks business across all departments - at the core of these operations is data and the insights driven from that data. PrizePicks is looking for a Data Scientist with 2+ years of experience to join our Data Science team. You will be working closely with other data scientists, reporting analysts, and cross departmental directors to test business flows, make business recommendations, and provide novel business insights to leadership focused on driving revenue growth, optimizing marketing efficiency and optimizing retention efforts.
Key Responsibilities:

Data cleaning operations, wrangling and visualizations.

Develop custom data models and algorithms to apply to data sets.

Selecting features, building and optimizing classifiers using machine learning techniques.

Develop processes and tools to monitor and analyze model performance and data accuracy.

Qualifications:

Advanced knowledge of machine learning, data analysis and statistical modeling.

Proficiency in statistics and statistical software applications, such as Python or R.

Experience working with relational databases such as PostgreSQL.

Data visualization and report building experience is a plus.

Exceptional analytical and problem solving skills.

Benefits you’ll receive:
In addition to your competitive salary, medical/dental/vision coverage plans and matching 401(k), we’ll shower you with perks including:

Break room with ping pong, end endless snacks and in-office lunch once a week.

Unlimited PTO to encourage a healthy work/life balance.

A modern work schedule focused on getting the job done well, not hours clocked.

Company and team outings, we encourage a tight-knit workplace.

Open office layout promotes collaboration, conversation and teamwork to drive results.

Significant opportunity for growth and career development.

Applicants must be authorized to work for any employer in the U.S.  We are unable to sponsor or takeover sponsorship or an employment Visa at this time.
PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Apply
Any questIons?
Get in Touch


Data Scientist Ii

The salary range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.At WGU, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:  $103,100.00 - $149,500.00If you’re passionate about building a better future for individuals, communities, and our country—and you’re committed to working hard to play your part in building that future—consider WGU as the next step in your career.Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.Essential Functions and Responsibilities:• Identify new data sources that will improve the diversification of university data.• Deep knowledge of various data sources (government, open source APIs, web scraping, etc.).• Ability to write and process complex SQL queries.• Experience extracting meaning data from social networking platforms.• Basic understanding of regular expressions to extract data from semi-structured and unstructured data sources.• Understanding of online web scraping to get data from sources that don’t offer API data access.• Create predictive models leveraging machine learning algorithms.• Traditional statistical models (logistic regression, classification algorithms, tree models, etc.).• Machine learning algorithms (neural networks, decision trees, association rules).• Text mining and natural language processing.• Experience with very large data sets.• Background in setting up and maintaining big data processes.• Experience with Hadoop, Hive, and HBase in the Amazon AWS environment.• Efficient processing of large amounts of unstructured data.Knowledge, Skill and Abilities:
Advanced SQL programming, ETL development, Spark, and big data
Proficiency in Python, R, or Scala programming
Experience with machine learning predictive modeling, time-series forecasting, statistical analysis
Data reporting and visualization (e.g. Tableau, Cognos, Power BI)
Business writing and communication
Competencies:  Organizational or Student Impact:
Works on assignments of medium to complex level.
Structure project plans and manages cost-effective execution of tasks.
Limit errors to prevent impact to client operations, costs, or schedules.
This individual will follow established processes and protocols.
Problem Solving & Decision Making:
Individual meets department and personal goals with some direction/ supervision.
An important player on large technical projects and programs.
Uses discretion to help design and implement solutions to somewhat complex problems.
Communication & Influence:
Communicates with contacts both within and outside of function on matters that require explanation, interpretation, and advising; typically has responsibility communicating to parties outside of the organization.
Works to influence parties within the function at an operational level regarding policies, practices, and procedures.
Leadership & Talent Management:
May be responsible for providing guidance, coaching, and training to other employees within the technical area.
May manage technical projects at this level, requiring responsibility for the delegation of work and reviewing others' work products.
Job Qualifications:Minimum Qualifications:
Bachelor’s degree in Statistics, Economics, Computer Science, applied mathematics discipline, business, or other related degrees.
4 years’ relevant experience in data analytics, business intelligence, or information technology
Department Specific Minimum Qualifications:
Advanced degrees (Master’s or PhD) in quantitative discipline with two years relevant work experience or bachelor's degree in quantitative discipline with four years relevant work experience
Experience working with Agile methodology
Demonstrated experience in project management
Preferred Qualifications:
Experience in Higher Education
Experience working in Databricks
2 years’ experience with Python
Physical Requirements:
Prolonged periods sitting at a desk and working on a computer.
Must be able to lift up to 15 pounds at times.
#LI-ML#LI-REMOTE#AA#D&IAs an equal opportunity employer, WGU recognizes that our strength lies in our people. We are committed to diversity.


Data Scientist Ii Machine Learning

Credit Sesame is a financial app for consumers who want to be confident their finances are under control. The platform uses AI to help consumers achieve credit health and financial fitness by managing and growing their credit and cash together. An all-in-one app to monitor credit score daily, receive insightful credit improvement and finance recommendations, and find the right credit cards and loans.

We’re seeking a highly motivated Data Scientist to join our team and build predictive models that impact credit-related decisions made by millions of members.  This person will be responsible for developing, productionizing, maintaining, and monitoring ML models affecting all components of our business.

As an ML Data Scientist at Credit Sesame, you will...

Join a centralized Data Science team that is part of our larger Engineering org;
Use Python and SQL to develop machine learning models whose predictions drive many key aspects of our business, ranging from deciding which email to send to which user on each day, to product recommendations at scale on our Web and App platforms;
Work closely with our Data Engineering and MLOps teams to deploy these models across our Mobile App, Desktop, and Mobile Web platforms;
Collaborate with the Analytics team to design and analyze experiments which test the performance of our models;
Build parameterized dashboards (in Looker) to monitor both machine learning performance metrics and funnel metrics important to the business;
Initiate and lead new modeling projects as well as support initiatives spearheaded by the Product team;
Design and implement efficient pipelines both for model maintenance and for model deployment;
Pitch your ideas and present your results to stakeholders including our CRM (customer relationship management), Product, and Marketing teams.

It is expected that...

You are strongly self-motivated, have a mindset of getting things done, are willing to pick up new skills as needed, and iterate quickly as appropriate;
You can communicate clearly and confidently to technical as well as non-technical audiences;
You have knowledge of machine learning packages (scikit-learn, XGBoost, etc.) and algorithms (logistic regression, random forest classifier, gradient boosting regressor, etc.);
You have knowledge of Python visualization libraries such as Matplotlib and Seaborn; knowledge of Plotly, Streamlit, and others is a plus;
You have strong proficiency in writing correct and efficient SQL queries;
You are proficient at programming in Python, and at using Git (any other programming skills are a plus!);
You have 2+ years of relevant experience, or a similar mix of experience and education in a quantitative field;
You have knowledge of statistics and experiment design;
You are comfortable with being process-driven like an engineer and purpose-driven like a business manager;
You can work in a cross-functional team and manage multiple stakeholders;
You can balance short-, medium-, and long-term objectives and successfully deliver on all fronts;
You want to work, excel, and grow in a diverse, challenging, and highly collaborative environment.

(Pluses) You have experience...

Building machine learning models that were deployed as a service, with predictions being made in real time;
Solving constrained optimization problems by leveraging business rules alongside machine learning models;
Optimizing multi-step conversion funnels, spanning from impressions to clicks and ultimately to conversions;
Building production-grade models for ranking content displayed to users;
Developing models that optimize for business outcomes (e.g., revenue) without resorting to localized, greedy optimization (e.g., maximize short term revenue without regard for long term effects);
Formulating and building models to predict customers’ Lifetime Value (LTV);
Predicting customer churn and/or retention.

You'll love us because...

you’ll have equity in a pre-IPO company backed by top VCs;
we offer comprehensive medical, dental, and vision insurance;
we offer a monthly home office stipend;
we offer a professional development stipend to support your continued growth
we offer flexible paid time off;
we have 10 paid holidays and additional 6 Sesame Wellness days;
we prize EQ and empathy, and have a culture that emphasizes total wellness, including work-life harmony.

At Credit Sesame, base pay is one part of our total compensation package. Actual salary will vary based on a candidate’s location, qualifications, skills, and experience. Additionally, this role is eligible to participate in Credit Sesame’s equity plan. The estimated pay range for this role in the San Francisco Bay Area is $145,000 - $168,000 and outside of the San Francisco Bay Area is $138,000 - $160,000.

We are open to hiring for this role in the following states where we are set up to hire employees: CA, CO, GA, NC, NJ, NV, OR, PA, TX, and WA.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

By clicking "Submit Application" (or related call to action), you acknowledge that you have read the Credit Sesame Employment Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.


Head Of Attribution Science

Company Description
Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square.
Job Description
The Decision Science organization at Square helps our sellers and our business grow by empowering decision making with data. The team provides Square with a variety of critical information such as go-to-market channel attribution, investment ROI calculation, merchant value measurement, product behavior analytics, and funnel performance. We achieve this by building remarkable data infrastructure, best-in-class analytics, data science, and machine learning solutions.
We are looking for a senior Data Science leader with deep expertise in data driven attribution (just like you!) to lead efforts in building Square’s next generation attribution system.  This system will be used by the executive leadership team to make strategic go-to-market investment decisions that will shape Square's future.
You will:
Be our in-house expert in data driven attribution to fuel Square’s growth.Build from scratch a suite of data science and machine learning solutions that will make up the core of Square’s next generation attribution system.Partner with executive and senior management from Finance, Marketing, Sales and other go-to-market channels to refine our growth strategy and inform investment decisions with data.Partner with third-party data providers to close the data loop for full funnel attribution.Hire and develop a highly talented team of data scientists, data engineers, and machine learning engineers.Develop efficient processes to ensure the team operates with high velocity, ownership, and self-accountability.
Qualifications
Deep expertise in statistical learning methods for go-to-market attribution and a track record of successfully building from the ground up end-to-end data driven attribution systems which may include algorithmic multi-touch attribution (MTA) and marketing mix models (MMM).12+ years of data science and machine learning experience.5+ years of experience in people management with a track record of building high-performance teams and growing talent.Demonstrated experience collaborating with high-level stakeholders across areas such as Finance, Marketing and Sales.Strong ability to manage stakeholder relationships and foster cross-functional collaboration effectively.Outstanding communication skills, coupled with a proven aptitude for influencing and persuading key decision-makers.
Even better:
Solid understanding of the advertising and martech landscape, including future trends in the evolution of this spaceExperience working in tech or fintech companiesUnderstanding of the B2B landscapeAn advanced degree (M.S. or Ph.D.) in Statistics, Computer Science, Operations Research, or a related technical field
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $245,100 - USD $299,500
Zone B: USD $245,100 - USD $299,500
Zone C: USD $245,100 - USD $299,500
Zone D: USD $245,100 - USD $299,500
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace.
Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.
Learn more about our efforts to promote inclusion and diversity at block.xyz/inclusion
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Decision Scientist

Company Description
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible. This is our mission, and it’s why working at Cash App means so much more than a job.
Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.
Check out our locations, benefits, and more at cash.app/careers!
Job Description
As a Decision Scientist, you will apply data-driven techniques to identify new opportunities, participate in project definition and prioritization and directly impact business strategy setting outcomes. There is a high expectation of proactively identifying, investigating, and resolving problems; designing and establishing key metrics; and the effective usage of various techniques such as statistical modeling, A/B experimentation and machine learning to drive the best decisions. Decision Scientists are not primarily responsible for the development of advanced ML algorithms, but they need to inform model performance evaluation. Therefore, they possess a general understanding of how ML models work and how to leverage their output for decision making and actioning. They are also expected to create offline ML models in the purpose of enlightening decision making, such as forecasting and segmentation.
This role is part of our Cash App's ML team and will be deeply embedded within one of our product teams - here are the workstreams we're currently hiring for:
Customer Support - This team’s mission is to create better-than-human Customer Support Experiences. Cash App holds people’s money, and building customers’ trust is absolutely essential to our brand. Cash App’s mission is to serve the unbanked as well as disrupt traditional financial institutions. Providing fast and reliable help whenever the customer needs it is a major component of building trust and pursuing this mission. Our massive scale and deep trove of Support transcript data create an endless number of opportunities to leverage statistical models and machine learning in the analysis to better understand our customers and offer better experiences. We are a highly creative group that prefers to solve problems from first principles; we move quickly, make incremental changes, and deploy to production every day.
Ads & Incentives - This team is responsible for building data-driven solutions, strategies, in-depth analytics and dashboards in consumer experience in partnership with business stakeholders. This team drives monetization throughout the Cash App ecosystem and drives consumer engagement in delivering growth.
Qualifications
Technologies we use (and teach):
Python (NumPy, Pandas, sklearn, xgboost, etc.)MySQL, Snowflake, GCP/AWS, Tableau, Looker
You have:
Advanced degree in Mathematics, Statistics, Computer Science, Economics or other quantitative field3+ years of experience in a data-driven decision making role in a domain that leverages applied ML regularly such as recommendation, ads and NLPSolid experience with data analysis and scripting in Python and proficient in SQLFamiliarity with ML techniques, applications and best practices in solving real world problemsProficient at defining, utilizing and communicating performance metrics with Product, Design and Engineering, etc.Proven track record of tackling ambiguous business challenges with minimal guidance and applying analytical/statistical methods to tackle real-world problems using big data
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $152,100 - USD $185,900
Zone B: USD $144,500 - USD $176,700
Zone C: USD $136,900 - USD $167,300
Zone D: USD $129,300 - USD $158,100
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace.
Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.
Learn more about our efforts to promote inclusion and diversity at block.xyz/inclusion
Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


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: 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: 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


Staff Data Scientist

Social Finance Inc. seeks Staff Data Scientist in San Francisco, CA:Job Duties: Develop and test pricing strategies across different consumer lending products that optimizeprofitability through the improvement of revenue, credit risk, and cost per customer acquisition.Leverage pricing models to simulate profitability from pricing strategies and forecast changes to SoFi’scustomer credit portfolio. Build reporting pipelines and dashboards to deliver results of pricingstrategies to the business. Help manage the pricing team’s data architecture by building data pipelinesto extract, transform, and load data from various sources. Build intuitive and analytical models to helpdecision makers understand the price elasticity of customer segments. Run significance tests andcontinuously discover trends in customer behavior to inform decision making with a high level ofconfidence. Routinely present analyses to SoFi business leaders. Telecommuting is an option.Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Computer Science,Business Administration, Engineering (any field), or a related quantitative discipline, and two (2) years ofexperience in the field of data analysis/ operational research or two (2) years of experience in the joboffered OR Bachelor’s degree (or its foreign degree equivalent) in Computer Science, BusinessAdministration, Engineering (any field), or a related quantitative discipline, and five (5) years ofprogressively responsible experience in the field of data analysis/ operational research or five (5) yearsof experience in the job offered.Special Skill Requirements: (1) Python; (2) R; (3) SQL; (4) Tableau; (5) Process Improvement; (6) DataAnalysis; (7) Statistical Modeling; (8) Product Management; (9) Stakeholder Management. Any suitablecombination of education, training and/or experience is acceptable. Telecommuting is an option.Salary: $199,098.00 - $218,500.00 per annum.Submit resume with references to: Req.# 21-14278 at: ATTN: Rae Myles, rmyles@sofi.org.

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Senior Data Scientist Machine Learning

Social Finance Inc. seeks Senior Data Scientist (Machine Learning) in New York, NY:Job Duties: Develop, implement, and continuously improve machine learning models and strategies thatsupport various credit and operational procedures including but not limited to loan processing, loanunderwriting, loss mitigation, and fraud/account takeover identification, etc. Proactively identifyopportunities to apply advanced machine learning approaches to solve complex business problems.Explore and leverage in-house, external, and other open-source machine learning software/algorithms.Collaborate with Model Risk Management team to demonstrate models are developed with high levelrigor that satisfy Model Risk Management and Governance requirements. Work closely with the Productand Engineering teams for model deployment. Perform ongoing monitoring of the models through theconstruction of dashboards and KPI tracking. Present model performance and insights to Credit, Risk,and Business Unit leaders. Telecommuting is an option.Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Computer Science,Statistics, Mathematics, Physics, Engineering (any field), or a related quantitative discipline, and two (2)years of experience in the field of software engineering/program analysis or two (2) years of experiencein the job offered or Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Statistics,Mathematics, Physics, Engineering (any field), or a related quantitative discipline, and five (5) years ofprogressively responsible experience in the field of software engineering/program analysis or five (5)years of experience in the job offered.Special Skill Requirements: (1) Machine Learning for supervised and unsupervised learning, includingregression, clustering; outlier detection; novelty detection, nearest neighbors, support vector machines,ensemble methods and boosting, neural networks, and deep learning and its various applications (1year); (2) Python; (3) Databases and related languages and tools including SQL, NoSQL, and Hive; (4)Advanced machine learning approaches, including natural language processing, image recognition, andgraph mining; (5) Model Implementation; (6) Model Monitoring; (7) Statistical models; (8) Data Analysis.Any suitable combination of education, training and/or experience is acceptable. Telecommuting is anoption.Salary: $185,000.00 - $212,750.00 per annum.Submit resume with references to: Req.# 22-128312 at: ATTN: Rae Myles, rmyles@sofi.org.

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Senior Data Scientist Trust Safety And Support Operations

About the Operations Data Science Team
Thumbtack’s Ops Data Science team is a tight-knit group charged with providing actionable insights for Thumbtack’s Trust and Safety, Support Operations, Sales, Partnerships, and Product Operations teams. We collaborate with various groups across the company on a wide variety of projects; everything from click-level data from our online HelpCenter, to call-level data from our outbound sales teams, to search- and conversation-level data between pros and customers from our product database. The Ops Data Science team is part of a global team of more than 40 data scientists across the United States and Canada.
About the Role
As a Senior Data Scientist, you’ll partner with product and operations leaders in shaping the strategy for the Trust and Safety and Support Operations teams. Data Scientists also collaborate with partners in Internal Tools, Data Engineering, and Product teams on broader efforts where product and operations overlap. You’ll be a leading voice and proactive contributor driving impact on key focus areas such as user credentialing requirements, guarantee offerings, operationalizing user segmentations, developing unit economics for support teams, and scaling strategic initiatives while controlling costs. To accomplish this, you’ll be expected to quickly build technical and content expertise about our platform, as well as the touch-points through which the operations teams interact with our pros and customers. You’ll be involved in scoping, prioritization and execution of tasks related to new company initiatives and programs while also gathering, organizing and presenting insights, trends and predictions to partners and stakeholders.
Responsibilities

Partner with leaders of Thumbtack’s Trust and Safety and Support Operations teams to conduct in-depth quantitative analyses that guide strategic decisions
Make recommendations based on detailed analysis and a deep understanding of our business
Build and maintain reports, models, metrics, and visualizations which provide insight into users’ experiences and business performance
Work with Ops and Finance teams to measure impact of Trust and Safety and Support Operations initiatives
Maintain SQL queries and dashboards that underpin analysis and reporting infrastructure
Identify key drivers of core business outcomes through regression analyses and other statistical techniques
Contribute to our team and company data culture through peer collaboration, training, coaching and more

Must-Have Qualifications
If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.

BA/BS degree, preferably in Economics, Statistics, Math, or Computer Science
Passion for using data to drive business impact in an operational environment, including running A/B experiments within operational processes
Experience analyzing user experience data (both product and survey data), preferably in a technology or marketplace company
Strong written and verbal communication skills: this role will require writing content and explaining results to internal and external audiences
Strong experience using SQL to query large datasets, proficiency with data visualization software (e.g., Tableau, Looker), and familiarity with statistics/programming languages (e.g., R, Python)
Ability to detect and debug data anomalies in complex operational processes and a track record of working with business leaders to drive improvements and efficiencies
Demonstrated ability to self-motivate and drive projects independently as well as partner successfully with cross-functional teams

Nice-to-Have Qualifications

Master’s degree in Applied Economics, Statistics, Data Science or related fields
Familiarity with data science and processes of operational business lanes such as support or trust and safety orgs
Demonstrated work experience organizing, manipulating, and producing analysis using contact center data from providers such as Genesys, UJET, NICE or Five9 and CRMs such as Salesforce, Hubspot, or ClickUp
Working knowledge of Looker and LookML. You know how to use it effectively and have deep enough knowledge to grow the team by training others.
Experience working with dbt Cloud, Jinja, and writing macros.

For candidates living in San Francisco / Bay Area, New York City, or Seattle metros, the expected salary range for the role is currently $140,000 - $175,000. Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role.
For candidates living in all other US locations, the expected salary range for this role is currently $120,000 - $150,000. Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role.

Thumbtack is a virtual-first company, meaning you can live and work from any one of our approved locations across the United States, Canada or the Philippines.* Learn more about our virtual-first working model here.
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