Data Science Manager

What we do
At Civis, we take a science-first approach to solving problems. With a blend of proprietary technology and statistical advisory services, we help public and private sector organizations find, understand and connect with the people they care about, so they can stop guessing and start using mathematical proof to guide decisions. We know others use “data science” and “analytics” as buzzwords, but at Civis we don’t stand for fluff, and we will always deliver scalable products and technologies — not PowerPoints — to drive your business forward. Learn more about Civis at www.civisanalytics.com.
Our mission
Our mission is to bring objective, data-driven truth to organizational decision-making – all the way from the boardroom to the world’s largest social causes.
Due to the uncertainty of COVID-19, all Civis offices are closed and employees are remote until further notice. This is being closely monitored as the situation evolves. Although it’s likely our offices will reopen, positions hired outside of Civis office locations will be remote roles.
What we are looking for/Responsibilities
We are looking for a Data Science Manager to lead 6 - 10 data scientists across multiple teams. Data Science Managers are responsible for building an engaging team environment, recruiting talent to the team, and developing staff to their highest potential.
At Civis we build software products for teams of Data Professionals. Civis Platform, our flagship product, makes cutting-edge data science and data warehousing techniques available to a broad audience. We are looking to hire experienced data scientists and engineers to scale our team to achieve our ambitious goals. Civis Data Science Managers exhibit sound judgment, ownership, and autonomy. At Civis, you will be responsible for fostering an inclusive, supportive, and high performance environment for your direct reports.
Required Qualifications

5+ years of experience as a data scientist or similar role, including experience taking a leading role in significant technical projects
2+ years leading teams of data scientists or others in similar roles
Demonstrated experience building team culture and data science processes, especially on high growth teams
Exemplification of an eagerness to constantly learn and teach others
Experience using Python or R to analyze data
US work authorization

Preferred Qualifications

Significant experience with any of the following:

Machine Learning libraries (e.g., scikit-learn, TensorFlow)
Probabilistic programming libraries (e.g., Stan/RStan, Tensorflow Probability)
Statistical methods for survey inference or observational causal inference
Statistical modeling of person-level data

Experience working with political data or government data (e.g., Census Bureau data)
Experience building software for internal or external users

Why join our team?

The opportunity to be part of a growing tech startup focused on solving interesting and meaningful problems, invested in internal promotion, and committed to fostering a diverse, equal and inclusive workplace.
Competitive benefits, including unlimited PTO, 401K match with immediate vesting, health, dental, and vision benefits, fully paid parental leave, breastfeeding support including breastmilk shipping services for traveling moms, commuter benefits, wellness initiatives including weekly group meditations, monthly on-site massage therapy, and pet insurance.

To support employees in our now fully remote work environment, we also have expanded our virtual journal and book clubs, Donut Pals (organized virtual coffee meet-ups), Lightning Talks (5-minute presentations on anything you’d like), Lunch-and-Learns, and HR Open Discussions (bi-weekly meet-up where we discuss ideas and topics of the day in a casual format). We are also able to support and accommodate flexible work from home schedules to help employees juggle responsibilities at home.

Civis Analytics embraces the individuality of our employees and we celebrate each other's differences. Our products, services, and culture benefit from and thrive on the unique perspectives brought by each person in our community. We're proud to be an equal opportunity workplace, and we are committed to equal employment opportunity regardless of race, age, sex, color, ancestry, religion, national origin, sexual orientation, gender identity, citizenship, marital status, disability, or Veteran status. If you have a disability or special need that requires accommodation, please contact internalrecruiting@civisanalytics.com
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States.
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Data Scientist

Ten Spot is hiring a Data ScientistTen Spot is a fully remote organization and has been since before COVID made it trendy. While we have groups of employees in Chicago and New York, our team works from cities and states across the USA. Though many companies offer fully remote working environments, no one is as good as Ten Spot at building strong team culture in a remote working environment: it’s what we do. What we doTen Spot is the workforce engagement platform enjoyed by companies and communities nationwide. Our popular, all-in-one virtual platform helps forward-thinking companies increase their productivity, boost retention, and build a strong culture. How do we do this? We provide companies with a scalable tool to bring teams together no matter where they are physically located. From fitness classes and experiential workshops to team challenges and Slack icebreakers, Ten Spot offers a fun experience for any situation alongside powerful analytics to measure engagement and behaviors. Ten Spot allows companies to harness real insights to improve culture, identify leaders, and create a space that welcomes everyone, all while having a great time!Why Ten SpotThe Ten Spot product is evolving at lightning speed, and our employees have the opportunity to make an extraordinary impact. We are growing fast and achieving new milestones every day. And the problem we're solving couldn't be more relevant!We are looking to add a data scientist to our growing product and engineering team.  Ten Spot's product creates a wide variety of data, from basic product usage and analytics to sentiment surveys, video viewing data, chat logs and more.  We intend to leverage these data assets to build a best-in-class suite of tools to help managers do their jobs better.  This is our first hire in a data science role, and we need a self starter who can help us build the right environment to house and analyze our data, and build a true data science function that complements our existing product/engineering/UX team.The right candidate will have experience working in a startup, and is comfortable with ambiguity and change.  Ideally you've also worked on a product team before and understand how to communicate with developers and product managers, and have a track record of using data science to optimize product and process through A/B tests, experiments, simulations, etc.  Positive, self-starter attitude is essential, as is comfort with full remote work.Requirements: Strong problem solving skills with an emphasis on product development. Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. Experience working with and creating data architectures. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques. Our full-time employees receive a competitive compensation and benefits package, including stock options, health, dental, vision, and life insurance, and 401K. Work from wherever you want, and know you’ll build camaraderie with the team because we use our own product and care about our culture and our people.


Data Science Manager

You Will:
Partner closely with product, engineering, and business teams to understand feature adoption, proactively identify opportunities for improvement, and build robust scalable tools to empower decision-making at all levels of the company
Create novel and interpretable metrics to provide insight into the health of the Discord app and use analytics, modeling, and experimentation to understand their impact on business goals
Transform data into information - establish hypotheses, dig deep, and seek to understand root causes - to improve the effectiveness of our marketing efforts
Own the vision and roadmap for the Safety Data Science team, supporting a key pillar of Discord's mission
Build and mentor a world-class analytics team, expanding the impact of data at Discord
In partnership with our Data leaders, inform architectural decisions, establish best practices, develop lean scalable processes, and contribute to the overall direction of the Data organization at Discord!
You Have (not hard qualifications - if you're not sure, please apply!):
3+ years of leadership experience as a people manager, leading a team of 3+ data scientists. Ideally, your team would have had technical expertise covering at least two of the following: BI & analytics, machine learning, and A/B experimentation
Excellent skills in communicating to both technical and non-technical audiences, with an ability to explain complex concepts in easy-to-understand ways
6+ years of industry experience in applying machine learning and/or analytics techniques to answer vague and challenging business problems
Proficient in Python/R or SQL (any dialect) for hands-on modeling and/or analysis
Familiarity with A/B testing principles
A collaborative attitude and natural curiosity
Bonus Points:
Experience with social media and/or safety aspects within digital consumer products
Proficient in modern BI tooling (Chartio, Looker, Tableau, etc.), with an eye towards clear, rich visualizations and performance
Experience with very large data sets and distributed computing
Familiarity with Airflow, GCP, BigQuery
Experience partnering with business teams in a data-driven culture
Passion for Discord or online communities
Our Benefits:
Comprehensive medical insurance including Health, Dental, and Vision (Plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
19+ paid holidays, 4 weeks of PTO, use-what-you-need sick days and volunteer time off
Paid parental leave (plus fertility, adoption and other family planning benefits)
Generous stipends for headphones, your remote work setup, and lunch on a daily basis (while we're all remote)
Flexible long-term work options (remote and hybrid)
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
In a world of polarization, social curation, and loneliness, Discord is working toward an inclusive world where no one feels like an outsider. We believe in the value of genuine human connection, which can so easily be lost online. So we’re building a space where everyone can find belonging from the inside out. If this strikes a chord with you, come build belonging with us!
#LI-GB1
Apply Now


Senior Data Scientist Analytics Revenue

What you'll be doing
Partner with teams throughout Discord through the full lifecycle of data analytics from ideation and exploratory analysis, to building dashboards and reports, and A/B testing
Define KPIs and diagnostic metrics that help improve the user experience, encapsulating these measures in clean crisp dashboards that provide the company with timely and actionable information
Use our amazing infrastructure to quickly and easily build custom data sets to monitor novel product features and processes
Proactively socialize insights, dashboards, and reports with technical and non-technical audiences, soliciting feedback on where to improve
Be a champion of A/B testing and help groups throughout the company design, analyze, and interpret A/B tests correctly
Collaborate with data and engineering teams to design scalable and future-proof instrumentation
You'll Thrive In This Role If (not hard qualifications - if you're not sure, please apply!)
4+ years of experience autonomously translating ambiguous business problems into deep informative insights through hands-on analytics
4+ years of experience building performant dashboards using Tableau, Looker, or similar software - with proficiency in designing clean crisp visualizations
3+ years experience writing excellent SQL
Excellent communication skills, with the ability to translate complicated findings or technical approaches in easy-to-understand ways
2+ years of experience in the design, analysis, and interpretation of A/B tests in a large data environment
A desire to work with amazing, passionate people who care deeply about solve challenging problems to improve Discord
Last but not least - a collaborative attitude and a healthy dose of natural curiosity!
Bonus Points
Passion for Discord or online communities
Experience with writing production ETL
Experience with technical leadership, being the point person for one or more stakeholder groups
Experience with analytics for social media or international subscription-based online services, including familiarity with concepts such as social graphs, LTV analysis, funnel analysis, etc
Experience writing performant code in BigQuery SQL
Benefits and Perks
Comprehensive medical insurance including Health, Dental, and Vision (Plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
19+ paid holidays, 4 weeks of PTO, use-what-you-need sick days and volunteer time off
Paid parental leave (plus fertility, adoption and other family planning benefits)
Generous stipends for headphones, your remote work setup, and lunch on a daily basis (while we're all remote)
Flexible long-term work options (remote and hybrid)
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
In a world of polarization, social curation, and loneliness, Discord is working toward an inclusive world where no one feels like an outsider. We believe in the value of genuine human connection, which can so easily be lost online. So we’re building a space where everyone can find belonging from the inside out. If this strikes a chord with you, come build belonging with us!
#LI-GB1
Apply Now


Senior Data Scientist Analytics Growth


Principal Data Scientist

The Who, What, Why and Where
Twilio is looking for a Principal Machine Learning Engineer who wants to design, build, and deploy machine learning systems into the real world and help Twilio power its growth initiatives. You are eager to learn and inspire, and you like to think at scale and work on real world products and problems. You bring a focus on efficient experimentation, team collaboration, large-scale systems design, and good first-principles engineering. You deal with ambiguity effectively and are able to bring clarity in requirements and technical solutions. You are a technical lead for other MLEs on the team and partner effectively with product managers and other cross function groups. This is a good opportunity to influence and contribute to early stage product development and harness the power of machine learning for highly visible initiatives.
Who?
Ideal candidates would have the following:

A Masters or PhD in Computer Science, Mathematics or Statistics.
Strong background in the foundations of machine learning - depth in Regression, Classification, KNN, RFM, DNN, SVM and Naive Bayes.
7+ years of hands-on experience with one of Python, C/C++ or Java/Scala
Strong fundamentals in Systems Design and Computer Science
Exposure to Big Data technologies(spark/hadoop) and Microservices Architecture
Exposure to different ML frameworks and services like Sagemaker, Clarify, Model Monitoring, TensorFlow, MxNet, PyTorch, Skitlearn etc.
Track record of building, shipping and maintaining machine learning models in a highly ambiguous and fast paced environment.
Track record of defining new data science techniques and best practices that improve the ML model performance
Track record of designing and architecting large scale experiments and analysis which impact multiple teams and adjacent focus areas

What?
As a Machine Learning Engineer, you will live the Twilio Magic values:

RUTHLESSLY PRIORITIZE: Work with other engineering teams and with members of the product organisation to distill internal and customer needs into requirements and tech specs.

DRAW THE OWL: Build new features without having all of the answers.

BE AN OWNER: Architect new systems with a focus on scalability, testability, and maintainability.

WEAR THE CUSTOMER’S SHOES: Help resolve technical issues and blockers for internal and external customers.

DON’T SETTLE: Drive high engineering standards on the team through code review, automated testing, and mentoring. We care what our code looks like, and you should too.

EMPOWER OTHERS: Collaborate with colleagues on a small, energetic team.

Why?
The Growth Automation pillar is building a new platform to provide a one-stop shop for marketers to build delightful, personalized customer experiences across any channel based on a single view of the customer. Orchestrate a customer journey and send emails, SMS, push notifications, voice, video, whatsapp, onsite personalization - any channel that the customer prefers most with a relevant message they actually want to see. Our team’s goal is to help Twilio-Segment customers understand, aid, and delight their customers across every first party touchpoint and interaction.
Growth Automation is being built on top of the most sophisticated first party customer data platform in the world. Imagine a platform that can take the hundreds of thousands of messages entering Segment’s pipelines every second, add in a new identity graph, and overlay multiple high speed, realtime and batch databases — and you have the Personas platform.  We’ve since built several successful products on top of the Personas platform: Segment Audiences for real time audience management, Segment Traits for computation, and Profile API for real time personalization. We are now personalizing customer engagement by transforming raw customer data across all channels into actionable, individualized customer predictions that you can leverage in any workflow or process.
Where?
This position will be located remotely in North America. Twilio offers benefits and perks to support the physical, financial, and emotional well being of you and your loved ones. No matter where you are based, you will experience a company that believes in small teams for maximum impact; seeks well-rounded talent to ensure a full perspective on our customers’ experience, understands that this is a marathon, not a sprint; that continuously and purposefully builds an inclusive culture that empowers everyone to do their best work and be the best version of themselves.
About Us
Millions of developers around the world have used Twilio to unlock the magic of communications to improve any human experience. Twilio has democratized communications channels like voice, text, chat, video and email by virtualizing the world’s communications infrastructure through APIs that are simple enough for any developer to use, yet robust enough to power the world’s most demanding applications. By making communications a part of every software developer’s toolkit, Twilio is enabling innovators across every industry — from emerging leaders to the world’s largest organizations — to reinvent how companies engage with their customers.
In accordance with applicable law, the following represents Twilio's reasonable estimate of the range of possible compensation for this role if hired in Colorado. Please note that this information is provided for those hired in Colorado only, and this role is open to candidates outside of Colorado as well.
Salary:
Denver/Boulder Metro:
$146.240 - $201,080
Rest of Colorado:
$127.960 - $175,945
Non Sales: Additionally, this role is eligible to participate in Twilio's equity plan.
An overview of Twilio’s benefits offered is listed below:
Twilio is committed to delivering a comprehensive benefits program that provides support needed for you and your loved ones. It’s likely that you don’t think about benefits every day; however, they are an important component of your total compensation, and we want you to understand the options available to you so that you can make the most of your benefit dollars.  At the time of this posting, this role is eligible to participate in the following benefits, which Twilio reserves the right to modify at any time for any reason in accordance with applicable law:
Healthcare Insurance and Leave

Prescription Drug
Dental
Vision
Flexible Spending and Health Savings Accounts
Leave programs for all of life’s moments: maternity, parental/bonding, as well medical leave to care for yourself or a loved one

Financial Benefits

Short and Long Term Disability Insurance
Life and Accidental Death & Dismemberment Insurance
401(k) Retirement Savings Plan with a match

Reimbursement Programs & Stipends

$65 per month work-from-home stipend
Up to $50 per month for wellness expenses and activities
Up to $30 per month to use towards books/eBooks

#LI-Remote


Sr Data Scientist

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.
The Payment Integrity data Science team within Optum Insight (OI) Payer Analytics is expanding.  We are looking for experienced Data Scientists to join this growing team.  This individual will be responsible on the development and delivery of large and complex predictive modeling projects for healthcare Payment Integrity processes. Senior Data Scientist develops innovative and effective approaches to solve client's analytics problems and communicates results and methodologies. Sr. Data Scientist also provides directions and guidelines to Data Scientists to discover business insights, identifies opportunities, and provides solutions and recommendations to solve business problems through the use of statistical, algorithmic, data mining, and visualization techniques. In addition to advanced analytic skills, Sr. Data Scientist is also proficient at integrating and preparing large, varied datasets, architecting specialized database, and computing environments, and communicating results.
You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
Apply advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple predictive detection engines in Optum Insight payer analytics  Lead discovery processes with Data Scientists and partner with Payment Integrity Operation management to identify the business requirements and the expected outcome  Create and provide sound statistical analyses and frame business scenarios that are meaningful and which impact on critical business processes and/or decisions  Collaborates with the data steward to gather information to be used for analytics and predictive model building purpose and to ensure the data meets the qualification and assurance requirements of the analyses  Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, etc., identify appropriate analytic and statistical methodology, develop predictive models and document process and results  Communicate analytics results and predictive models to business partners and clients  Provide on-going tracking and monitoring of performance of statistical models and recommend ongoing improvements to methods and algorithms that lead to findings, including new information  Recommends ongoing improvements to methods and algorithms that lead to findings, including new information
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:
Bachelor’s degree (ideally in Computer Science, Applied Mathematics, Statistics, or similar field)   5+ years of experience using data modeling skills   5+ years of experience manipulating large datasets       3+ years of experience in predictive analytics with machine learning/statistical modeling techniques  2+ years of experience programming in R or Python  3+ years of experience in scripting languages (such as Python, SAS, T-SQL, etc.) 2+ years of experience with ETL and enterprise data warehouse technical development   Experience working with analytical concepts and how analytical solutions can help customers   Proven solid understanding of execution plans, identifying redundant and faulty processes for optimization opportunities, performing load balancing, parallel processing, partitioning and indexes
Preferred Qualifications:
Master’s or PhD degree Experience with healthcare claims data  Experience helping customers in reducing their healthcare claim costs      Experience with Databricks, Spark, Snowflake, and/or similar tools       Experience with Version Control (for example Git Version Control system)   Experience in UI design for automated or end-user-interactive visualizations  (Ex: Tableau)  Experience with Agile/Scrum Understanding of medical coding, such as ICD, CPT, or DRG
Careers with Optum. Our objective is to make health care simpler and more effective for everyone. With our hands at work across all aspects of health, you can play a role in creating a healthier world, one insight, one connection and one person at a time. We bring together some of the greatest minds and ideas to take health care to its fullest potential, promoting health equity and accessibility. Work with diverse, engaged and high-performing teams to help solve important challenges.
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.


Junior Data Scientist

The Position
This position is an exciting opportunity to join the Research and Innovation team at Global Fishing Watch as a junior data scientist. 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.
The junior data scientist will primarily work on the forced labor research project. The junior data scientist will play an essential role in the forced labor project by using online resources to investigate cases of forced labor; helping with data collection and quality analysis; and analyzing vessel information to help validate our models and better understand the behaviors, patterns, and relationships between vessels related to suspicious activity.  As they become more familiar with the model and the workflow of our research, they will be able to help improve the model pipelines and its structure. They will also have the opportunity to collaborate on scientific papers related to this and other research projects.
The successful candidate will have an interest in human rights issues and well-developed analytical, coding, and web-searching skills. The position requires an ability to critically engage with complex and sensitive datasets, as well as willingness, interest, and enthusiasm to work within a truly multidisciplinary team in a fast-paced work environment. The incumbent will build diverse technical skills in programming and big data, and gain a variety of experiences working for a globally diverse, fully distributed, and growing organization. Initially, this is a one-year project period with the possibility of extension depending on funding.

Principal Duties and Responsibilities
Data collection

Expand the dataset of reported cases of forced labor using media reports, government reports, and other sources of information in multiple languages.
Examine the reported cases that are collected and perform a quality assessment.
Collect complementary information on each reported case and other vessels to understand the connections between vessels existing in forced labor settings and to feed our models.

Data analysis and modeling

Review positive and negative cases predicted by the model and assess if model predictions are consistent with the vessel’s history of human rights practices and IUU fishing.
Produce visualizations such as summary graphs and maps, and assist with the generation of tables for internal and external use (e.g. reports for the industry, scientific papers)
Help write R and SQL code to improve the forced labor model pipeline and the model itself.

Publications

Contribute to writing blog posts on the forced labor project for the website.
Contribute to scientific paper writing (if desired)

Candidate description
Required

Bachelor's degree or at least 2 years of work experience in fields related to data analytics, data journalism, or quantitative social sciences
Systematic web-searching skills: ability to design a thorough investigation plan and conduct desk research on a given topic
A deep curiosity and dedication to critical thinking
A commitment to analyzing complicated datasets to meet deliverables and a talent for developing novel ways of extracting meaning from diverse data sources
Great written and verbal communication skills in English
Demonstrated ability to work with a high degree of independence and autonomy while effectively communicating updates in a transparent and proactive manner
Demonstrated coding and data analysis skills with R (or Python but basic familiarity with R and commitment to improving R skills on the job)
Readiness to embrace Slack, Google Suite, and other collaborative tools for remote work

Strongly preferred

Familiarity with human rights issues and data ethics
Experience using SQL skills
Experience with version control tools such as git and GitHub
Good written communication skills in Indonesian, Chinese, Spanish, or French

Also a plus

Experience in investigative journalism
Familiarity with fisheries
Familiarity with machine learning algorithms and statistics
Master's degree in a relevant area or equivalent experience
An understanding of the complexities and collaboration required to work effectively for a globally remote organization; and ability to thrive in a diverse, distributed and dynamic team.

The successful candidate will meet most, but not necessarily all, of the required criteria above. If you don’t think you check all the boxes, but you are highly motivated and believe you have unique skills that make you a great fit for the role, we want to hear from you!

Additional Information
Reporting to: Forced labor lead data scientist
Location: Remote
Staff: Research and Innovation
Hiring process: If selected for consideration, the hiring process for this position will include a formal 30-45 minute interview with 2-3 staff. This will be followed by an administrative call, when compensation information will be provided. Candidates advancing beyond this round may be asked to participate in another interview, take a technical assessment and/or submit a representative code sample. Lastly, an informal 30-45 minute call with 3-4 members of the team will be held with finalists, to present Global Fishing Watch’s culture and answer any remaining question.
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. While we are unable to provide a compensation range here, we will be happy to discuss a range when we know the desired location of our active candidates. GFW offers pension/retirement, health and other benefits commensurate with similar level GFW employees in the country of employment. The position may be a GFW employee or consultant, depending on the country of residence.
Working Hours: Full time position for one year with the possibility of an extension. Global Fishing Watch supports flexible working, so the pattern of hours may vary according to operational and personal needs. The position will be part of a global team spanning many different time zones and so the candidate must be able to accommodate regular early/late meetings to be able to work effectively. Weekend work may be required on occasion. The post holder may be required to undertake regional and international travel. No overtime is payable.
Equal opportunities: Global Fishing Watch is an equal opportunities employer. We believe that our mission is best advanced when welcoming the contributions of people of diverse backgrounds, beliefs, and cultures and are committed to providing an inclusive and welcoming environment for all employees of Global Fishing Watch and our partners, vendors, suppliers, and contractors. We welcome the application of all qualified professionals and especially encourage those that have been historically marginalized or underrepresented because of their actual or perceived race, color, religion, sex, sexual orientation, gender, national origin, age, disability, or any other characteristic protected by applicable law.

Please apply by Monday, 22 May 2023


Mid Level Data Scientist

Description & Requirements
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At Jack Henry, we deliver technology solutions that are digitally transforming and empowering community banks and credit unions to provide enhanced and streamlined user experiences to their customers and members.  Our best-in-class products are just the start as we lay the groundwork for the future of digital banking and payments. We hope you’ll join us. We can’t do it without you.
Would you like to be part of the smarter payments vision that delivers fast, safe, and best in class experience to banking users using AI? The successful candidate will apply data science techniques from machine learning to a combination of third party and Jack Henry proprietary datasets to launch/enhance AI products that help our financial institutions deliver faster, safer payment experiences and build digital engagement.
This position can be worked out of the Louisville, KY office or remote from anywhere within the US.
The target salary range for this position is $125,000 – $130,000, based on location and experience.
What you’ll be responsible for:
Translate business requirements into data science problems for a variety of use cases including real-time fraud detection and financial wellnessFeature engineer and pre-process raw data to optimize model performanceImplement end-to-end ML pipeline and model training to deliver AI use cases using machine learningDrive model selection by comparing a variety of statistical and machine learning algorithmsCollaborate with cross-functional teams to leverage data lake in assembling and synthesizing training datasets from a wide variety of data sourcesPrototype, refine, develop, deploy and scale ML models for Jack Henry AI productsEnhancing client experience of our products through usage data analysis, ad hoc analytics and metricsMay perform other job duties as assigned
What you’ll need to have:
•    Bachelor’s degree in Computer Science, Economics, Applied Math or related analytical field with course work/certifications in Data science. AWS certifications highly preferred.
•    A minimum of 6 years of hands-on work experience as data scientist with machine learning focused skillset.
•    Business acumen and experience with creating solutions to address the business problem, planning, and execution
•    Keen interest in understanding payments business domains and their data
•    Prior end to end experience delivering a client facing ML based AI product/business solution from data extraction and feature engineering to model training and deployment
•    Experience in practical data processing working with large scale datasets, data mining/transformation, and information retrieval tasks
•    Experience with modern programming languages (Python, R, Javascript) and open-source technologies
•    Experience with Machine Learning APIs and computational packages (e.g., - Scikit-Learn, SciPy, Pandas, Matplotlib, stats models)
•    Experience with business analytics, creating ad hoc analyses to inform client usage and user adoption of products
•    Must be a collaborator and team player. This role interfaces with various cross-functional stakeholders in Data Services, DevOps, Development, client facing and leadership teams.
What would be nice for you to have:
•    Prior experience with AWS AI/ML stack - Sagemaker, Feature Store, Kinesis, and Lambda highly preferred
•    Experience implementing fraud detection solutions
•    Experience with Agile methodologies
•    Prior experience in Payments/Banking/Fintech
•    Excellent communication and presentation skills
If you got this far, we hope you're feeling excited about this opportunity. Even if you don't feel you meet every single requirement on this posting, we still encourage you to apply. We're eager to meet motivated people who align with Jack Henry’s mission and can contribute to our company in a variety of ways.
Why Jack Henry?
At Jack Henry, we pride ourselves through our motto of, "Do the right thing, do whatever it takes, and have fun." We recognize the value of our associates and believe much of our company’s strength and success depends on their well-being. We demonstrate our commitment by offering outstanding benefit programs to ensure the physical, mental & financial wellbeing of our people is always met.
Culture of Commitment
Ask our associates why they love Jack Henry, and many will tell you it is because our culture is exceptional. We do great things together. Rising to meet challenges and seeking opportunities is part of who we are as an organization. Our culture has helped us stay strong through challenging times and we credit our dedicated associates for our success. Visit our Corporate Responsibility site to learn more about our culture and commitment to our people, customers, community, environment, and shareholders.
Equal Employment Opportunity
At Jack Henry, we know we are better together. We value, respect, and protect the uniqueness each of us brings. Innovation flourishes by including all voices and makes our business—and our society—stronger. Jack Henry is an equal opportunity employer and we are committed to providing equal opportunity in all of our employment practices, including selection, hiring, performance management, promotion, transfer, compensation, benefits, education, training, social, and recreational activities to all persons regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, genetic information, pregnancy, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, and military and veteran status, or any other protected status protected by local, state or federal law.
No one will be subject to, and Jack Henry prohibits, any form of discipline, reprisal, intimidation, or retaliation for good faith reports or complaints of incidents of discrimination of any kind, pursuing any discrimination claim, or cooperating in related investigations.
Requests for full corporate job description may be requested through the interview process at any time.


Staff Data Scientist Revenue Cycle

By joining Invitae, you’ll work alongside some of the world’s experts in genetics and healthcare at the forefront of genetic medicine. We’ve crafted a culture that empowers our teams and our teammates to have the biggest impact and to explore their interests and capabilities. We prize freedom with accountability and offer significant flexibility, along with excellent benefits and competitive compensation in a fast-growing organization!
Invitae is seeking a Staff Data Scientist to join the team and lead efforts to improve the company's reimbursement performance. Reporting to the VP of FP&A and Business Analytics, the Staff Data Scientist will work closely with leaders in the billing and reimbursement, technology, finance, commercial, and customer experience teams. Over time, this position may expand in scope to include other areas of high strategic importance to the company.
Responsibilities:

Develop a structured understanding of opportunities to improve the company's revenue cycle performance from insurance companies through analysis of claims and other data.
Evaluate the impact of initiatives under consideration and monitor performance after implementation.
Support analysis with statistical or machine learning models as needed to further our understanding of root causes.
Design and develop dashboards, models, and presentations to communicate insights and recommendations to leadership.
Think strategically about the company's broader business objectives; put proposed initiatives and set analytic priorities in that context.

Requirements:

Bachelor's or Master's degree in a related field such as Data Science, Business Analytics, Statistics, Biostatistics, Computer Science, or a relevant quantitative field preferred.
8+ years of relevant experience in data analysis, preferably in the healthcare industry. Experience with healthcare claims data preferred.
Typically requires a minimum of 12 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or a PhD with 5 years experience. Any equivalent combination of training, education, and experience that provides the required skills, knowledge and abilities.
Familiarity with healthcare reimbursement policies and procedures a plus.
Strong proficiency in SQL and Excel. Proficiency in Python for data analysis, model development, and visualization.
Experience with statistical and/or machine learning model development.
Demonstrated ability to work independently, prioritize effectively, and think strategically in a fast-paced environment.
Excellent communication skills, with the ability to communicate complex ideas to leaders at the VP level and above.
Highly analytical thinker with excellent problem-solving skills.

Remote in US
#LI-Remote


Data Scientist Customer Experience

Invitae envisions a world in which genomic sequencing routinely informs lifelong healthcare decisions. We are committed to enabling the utilization of genomic data in order to improve health, catalyze scientific and medical research, and contribute to improved outcomes for everyone. Invitae is an open, title-free company that operates as a meritocracy. We focus intently on our ability to deliver reliable solutions that contribute to improving people's lives. We have excellent benefits.
Experience Platform
The customer experience team works cross-functionally to help achieve Invitae’s mission. We are responsible for the full product cycle from strategy to execution, and iteration to experimentation. We are highly cross-functional, working closely with our designers, engineers, data scientists, founders, operations, and genetic counselors.
As a Data Scientist for the customer experience team at Invitae, you’ll turn data into insights and get a deep understanding of customers and patients to impact our strategy and direction. You will study user behavior, strategic initiatives, markets, content, and new features and bring data and insights into every decision we make. Above all, your work will directly impact the lives of patients around the world.
Why Invitae?
#1 --  You will change patients’ lives on a daily basis.
#2 --  You will have the scale to impact millions.
#3 --  We are on the cutting edge of medicine.
What you will do:

Perform analyses on large sets of data to extract actionable insights that will help drive decisions across the business and understand how our customers use our products.
Communicate data-driven insights and recommendations to key stakeholders
Design customer-facing experiments (A/B tests) and turn the results into actionable outcomes
Serve as data steward of Invitae’s web events, including maintaining data quality of customer and web interactions and guiding best practices for managing web events data
Help define product and business success metrics by collaborating with product, engineering, design, and marketing teams to ensure correct data tracking instrumentation for measurement

What you bring:

You have at least 3+ years of experience in a similar data scientist role and a degree in a quantitative discipline (computer science, statistics, economics, quantitative social science, etc.)
Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 3 years and a Master’s degree; or a PhD without experience. Any equivalent combination of training, education, and experience that provides the required skills, knowledge and abilities.
You are a data evangelist who wants to scalably distribute learnings and amplify business impact by helping the team (and company at large) make smarter decisions.
You love to investigate behavioral data (preferably in the domain of online interactions) to get more objective, definitive answers to questions of “why”
You have data chops: Advanced SQL skills and experience with large-scale relational databases.  You also have deep knowledge of R or Python for data cleaning, statistical modeling, data analysis, and data visualization
You have solid experience with research principles, experimental design, and current best practices for mixing qualitative and quantitative methodologies

Nice-to-haves:

Experience working in healthcare and/or tech sector
Experience with common web analytics tools (Google Analytics, Amplitude, Mixpanel, etc.)
Domain knowledge in clinical genetics
Experience with a BI tool such as Tableau
Experience with a variety of research tools (Qualtrics, Optimizely, Google Optimize, etc.)
Experience with Snowflake

#LI-Remote


Sr Bioinformatics Scientist

Invitae is a biotechnology company focused on providing tools and services for clinical research applications of genomics. Our mission is to unlock the power of precision medicine in improving patient care by providing a technology platform to advance genomics and facilitate collaborative research.
 Invitae is seeking Bioinformaticians to join our team. This role will be centered around creating workflows, tools and algorithms to complement assay/product development. The ideal candidate should be able to perceive a problem clearly and dissect it into components which can be resolved programmatically. Having a comprehensive grasp of genomics and next generation sequencing will be key to succeeding in this role. The candidate should be independent, well organized and collaborative with clear communication skills. In addition, the ability to frequently switch between tasks will be helpful.
As necessary, but not as a primary role, the candidate will assist the Clinical team in ad-hoc analysis and research required to meet regulatory requirements. You will be responsible for scaling our pipelines as we work toward our goal of providing low-cost genetic answers to billions of people.
  Responsibilities:

Develop high-performance bioinformatics workflows that can accurately and reliably analyze large volumes of NGS data using Nextflow in a system agnostic manner
Collaborate in a cross-disciplinary team by building, deploying, and maintaining software solutions compatible with distributed and/or containerized systems
Designing APIs using industry best practices to streamline communication between various Invitae platforms
Develop best practices for analysis of NGS data including optimization of parameters, resource utilization, and consensus approaches across various NGS applications
Mentor budding engineers/scientists by participating in code review/analysis sessions
Drive genetics technology development in a cross-disciplinary setting by critically analyzing and deriving insights from experimental data (including NGS, arrays, and novel technologies) using open source NGS tools and building custom tools when needed
Develop reproducible analysis for research and development purposes
Review, understand, and stay in compliance with Invitae HIPAA Security policies and procedures
Optionally, build and evaluate algorithms and statistical models to improve existing genetics applications within and beyond NGS technologies and create novel ones
Optionally, maintain a visible profile in the Bioinformatics community through publications, conference presentations, and collaborations

Good to Have Qualifications:

MS with 8+ years experience or PhD with 5+ years experience in Bioinformatics or Computational Biology
Fluent in R/Python
Fluent in *nix, and SQL like DB technology for data analysis
Working knowledge of standard bioinformatic tools used in NGS pipelines
Working knowledge of pipeline workflow engines: Nextflow, Snakemake
Strong knowledge of Genomics and Molecular Biology
Solid understanding of Illumina sequencing technologies and metrics
Formal statistics background is a plus
Formal software development experience (preferred)
Understanding of Cloud Computing (preferred)

#LI-Remote


Senior Data Scientist

Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.

We’re looking for an exceptional Data Scientist to join our real-time bidder team, one of the most exciting and important products within Chartboost. This role will be focused on ad ranking, which ensures that our DSP is bidding on the most promising inventory for  our advertisers. The system powering this product must deal with 100,000’s of requests per second and presents unique data science challenges. The bidder uses a variety of batch and real-time signals to power decision making in real-time.
Impact you will make:

Apply, develop, optimize, and benchmark ML approaches to push our AI-driven product forward

Conduct large scale A/B testing and offline/online experiments to evaluate performance of machine learning models
Analyze millions of structured and unstructured data points and identify meaningful signals to improve model performance
Collaborate closely with Product, Data, and Engineering teams to build new features and enhance model infrastructure

Who you are:

BS degree in Statistics, Math, Machine Learning or Computer Science
5+ years of practical experience in data science or machine learning roles
Experience with recommendation systems or ML for ranking and relevance
Exposure to different machine learning and modeling techniques, including deep learning and traditional modeling techniques
Experience using SQL and distributed frameworks such as Spark for exploratory data analysis and data transformation

The following experience would be a plus:

Hands-on with deep learning in production pipelines
Ad tech and/or mobile space

Perks:

Competitive salary with bonuses
Flexible schedule based on core hours and the possibility of working remotely.
Private health insurance
Life insurance
Optical complement for glasses or contact lenses.
Company sponsored lunch
English/Spanish lessons and/or other investments in your professional development
Gym membership
Transportation reimbursement
Healthy snacks, and coffee in our cool office in the center of Barcelona
23 days of paid time off per year
15 paid holidays per year
Team building events

More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind.  Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.


Data Scientist Product Analytics

About Us:
Live experiences help people cross today’s digital divide and focus on what truly connects us – the here, the new, this once-in-a-lifetime moment that’s bringing us together. To fulfill Gametime’s mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.

With platforms on iOS, Android, mobile web and desktop supporting more than 25,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.

Job Description:
We are looking for an organized, data-driven, and curious team player to work cross-functionally across the data, product, marketing, finance, and operations teams. As a Senior Data Analyst, you will support and inform various functions throughout the company to solve business-critical issues, specifically related to our product, features, etc. You will dive into user behavior data to provide insights which will impact major business decisions and own the maintenance of Gametime’s business intelligence reporting. The ideal candidate will be able to thrive in a fast-paced environment and able to adapt to changes within the business and the industry.

What you'll do/own:

Provide insight into critical business decisions, working closely with the executive team to answer pressing issues
Analyze user behavior data and funnel metrics, generating recommendations for product and feature improvements
Maintain and improve Gametime’s business intelligence reporting infrastructure
Leverage analytics and quantitative methods to inform and influence decision-making
Influence and build relationships with people across all levels of the organization, internally and externally

Our ideal candidate has:

2-3+ years of Data Analyst experience, ideally at a technology company
Proficient in SQL
Experience with A/B testing a plus
Ability to identify, analyze, and provide recommendations to complex business decisions
Solid understanding of statistical analysis and experimentation, and capacity to drive conclusions from the analysis
Ability to work across disparate data sources to obtain sensible results
Strong collaboration and communication skills
Experience analyzing user-centric products, preferably in the gaming or marketplace industries
Strong problem-solving skills
Some experience with Python or R
Experience with a data visualization software

What we can offer you:

Flexible PTO
Equity
Medical, dental, & vision insurance
Life insurance and disability benefits
401K, HSA, pre-tax savings programs
New equipment setup provided
Diverse Family-forming benefits through Carrot Fertility
Wellness programs
Tenure recognition

Base salary range:
$135,000-$155,000

$135,000 - $155,000 a year
Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.


Lead Biostatistician Data Scientist

Linus Health is a Boston-based digital health company focused on transforming brain health for people across the world. By advancing how we detect, diagnose, and address cognitive and brain disorders – leveraging cutting-edge neuroscience, clinical expertise, and artificial intelligence – our goal is to enable a future where people can live longer, happier, and healthier lives with better brain health.
We are a team of 95+(and growing!), embarking on an exciting period of accelerated growth. We invite collaborative, self-driven and impact-oriented professionals to join our dynamic and fast-growing team.
Does this sound like an innovative & disruptive start-up where you could see yourself? If so, continue reading…
Please note that we are only open and considering US and Canada based candidates at this moment. Unfortunately, we are not able to provide sponsorship for any of our roles.
The Role:
We are looking for a Lead Data Scientist or Biostatistician who is willing to take on new challenges and work in a highly collaborative environment with clinicians, developers, and other data scientists. There is always something new to learn. This role is core to the product vision and continued growth of Linus Health. This is NOT your typical data scientist role and is perfect for those looking to leave customer churn prediction and AB testing behind.
What You’ll Do:

Systematically investigate statistical and algorithmic approaches to make data driven decisions
Design and execute statistical analysis plans for clinical trials and studies with research partners and to support internal initiatives
Lead data analytics initiatives and design data driven products to support customers and internal stakeholders alike
Participate in publications, presentation, and research to promote Linus Health as a thought leader in the domain of healthcare AI
Collaborate with clinicians, product managers, and software engineers to develop applied solutions and prioritize scientifically grounded product features
Address data challenges such as missing data, class imbalance, small data sizes, and inconsistent formatting
Mentor and grow the next generation of data scientists and statisticians at Linus Health
Learn, evaluate, and develop novel approaches to crafting digital twins, quantifying uncertainty, and targeted solutions to advance healthcare solutions
Collaborate and learn from other data scientists to align on best practices and leverage existing tools and knowledge
Clearly document, track, and communicate results to executive leadership and the C Suite

About You:
Must Haves:

Advanced degree in Physics, Mathematics, Statistics, Data Science, Biostatistics or similar
PhD and 4+ years of experience required
Previous work in healthcare data analysis
Deep knowledge of applied statistics and mathematics
Mastery of core statistical methods such as correlation analysis, hypothesis testing, evaluating distributions, etc.
Previous project leadership experience and comfort mentoring small teams of data scientists
Fluency with Python or R
Excellent verbal and written communication skills
Superior project leadership and planning skills

Nice To Haves

Experience working with cloud-based analytics solutions, preferably AWS
Expertise in deploying data driven  products and working with software engineers
Exposure to neuroscience, neurology, neuropsychology, geriatric medicine, or similar
Experience working within an FDA regulated environment and with standard FDA data formats

What We Offer:

As a health and wellness company, an opportunity to have a lasting impact on the way people and communities engage with brain and mental health, and even to affect the prognosis of people’s mental and brain health trajectory
A mission-driven environment where all 95+ (and counting) employees strive to exemplify our core values every day
Competitive compensation packages that include an annual discretionary target bonus incentive as well as valuable equity
Unlimited PTO — We know this can work both ways, however our leadership team does an excellent job at encouraging people to take PTO
A sincere and deep appreciation for the importance of mental health. We have recently implemented a “monthly flex day” where employees are encouraged to take time away from work to rest, recharge & reset.
A peer-to-peer recognition program: Celebrating our employees hard work and success is in our DNA!
Employee Referral Incentive program
A robust healthcare package that includes medical, dental & vision benefits as well as a 401(K) program where Linus will match up to 6% of employee contributions.

Linus Health is an equal opportunity employer. All qualified candidates will receive consideration for employment without regard to race, religion, color, national origin, sexual orientation, gender, gender identity or expression, age, genetic information, disability or any characteristic protected by law. We believe that diversity is critical to the growth of our company and understand the importance of fostering an environment where everyone has a voice. We are also committed to providing reasonable accommodations for candidates with disabilities during the recruiting process. If you are in need of assistance due to a disability, please contact us.


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: San Francisco, CA or remoteCompensation: Includes annual salary between $160K-$210K depending on experience and location, company stock options, and health benefits
We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team:
Full health, dental and vision coverage for you and your family
Flexible working hours
Generous paid parental leave
Unlimited paid time off for vacation and sick leave
$2000 annual vacation bonus (we pay you to take a two week vacation)
$5250 annually for professional development and educational assistance
$1250 annual home office + TV stipend
$500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices
Dog-friendly office
And much more!
For California Residents: Philo’s CCPA Notice at Collection – Employees, Applicants, Owners, Directors, Officers and Contractors
Apply Now


Sr Growth Marketing Data Scientist

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


Senior Data Scientist Product Analytics

(This role is fully remote for candidates located in British Columbia.)
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:
Rec Room offers generous medical, dental, and vision plans that cover you, your spouse/domestic partner, and children. Rec Room strives to be an inclusive place for people from all walks of life. We support employees with competitive benefits, leave options, and unlimited paid time off. Our company values are real and drive our culture.
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.


Senior Data Scientist Machine Learning

Rec Room is the best place to build and play games together. Players can chat, hang out, play in millions of rooms, or build something new to share with the world! We have a vibrant commercial ecosystem within Rec Room, and our goal is to enable creators to be rewarded for their work. Come join us on the ground floor to help optimize the ecosystem for both players and the business.
As a Senior Machine Learning Data Scientist, you’ll be responsible for designing, developing, and implementing machine learning models to power our in-game store recommendations and serve users content that they’d find valuable. You’ll be supporting creators in making a living on the platform, as well as playing a critical role in the success of Rec Room as a business.
WHAT YOU'LL DO:

Design, develop and implement production-facing ML models to deliver valuable commerce content to our users.
Collaborate closely with the ML Infra team to define a roadmap that powers real-time personalized ranking models.
Design and run A/B tests, analyze model performance, and deep dive into the data to uncover opportunities for improvements.
Build out pipelines in collaboration with our Analytics Engineering team to enable model building on top of sophisticated features.
Set best practices, mentor, and provide guidance to the more junior Data Scientists.

WE ARE LOOKING FOR INDIVIDUALS WITH:

Master's or Ph.D. degree in computer science, statistics, mathematics, or a related field
5+ years of ML ranking experience in a production setting
Strong proficiency in programming languages such as Python, R, and SQL
Deep familiarity with ML infrastructure to collaborate with our infra team
Extensive experience with experimentation.
dbt knowledge is a plus
Spark/Databricks knowledge is a plus

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.


Senior Data Scientist Product Analytics

Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee – whether a team member of Etsy, Reverb, Depop, or Elo7 – you’ll tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.
Job Description
What’s the role?
We are looking for a senior analytics professional to help drive the success of product efforts at Etsy by providing concrete insights, industry-leading measurement techniques, and access to the metrics, data, and tools needed for decision-making and optimization.
As a Senior Data Scientist you will be responsible for:
Applying advanced analytical techniques to break down high-level strategy questions into actionable insights that drive the next stage of growth for our users
Conducting online experiments to help improve buyer experience with Etsy Ads, while ensuring seller satisfaction with the product
Identifying drivers of relevance that contribute to engagement with seller ads, and surfacing inefficiencies that could help unlock improvements to our models
Do you find joy in guiding strategy with data-driven insights, telling the story of how we improve the experience for our users, to teams, to senior management, and to the community.? If so, this could be the perfect match.
This is a full-time position reporting to the Manager, Data Scientist, Product and the base salary range will be 130,000 - 168,000 USD per year. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the United States who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our flexible work options and vaccination policy here.
What’s this team like at Etsy?
The role is a part of the Product Analytics team which is responsible for helping drive the success of product efforts at Etsy. We partner with cross-functional peers through all stages of development: identifying initial opportunities, refining the user experience, analyzing the impact of our efforts, and highlighting improvement areas. Ultimately, the team’s work strengthens Etsy and helps continuously improve the Etsy experience!This is a high visibility position supporting the Etsy Ads initiative. The team helps sellers level up their business through on-site advertising, while also meeting buyer expectations around relevance to help them make a purchase decision.
What does the day to day look like?
Lead all analytical aspects of the product lifecycle from sizing opportunities all the way through to measuring success via experimentation.Work closely and collaboratively with senior management within Etsy Ads to craft a well defined analytics roadmap.Define metrics to ensure robust measurement of product performance.Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualifications
Qualities that will help you thrive in this role are:
4+ years experience as a data scientist or data analyst in which you have independently extracted meaning from big data sets with little engineering support.Successful track record of guiding product teams to identify high-impact opportunities, set meaningful goals against key outcomes, and data-driven decisions. Experience working in a two sided marketplaces environment and/or in fulfillment/logistics preferred.Mastery of SQL and proficiency in R/Python. Passionate to try new approaches to advance your technical skills. Bonus points for experience with the Hadoop ecosystem and Looker, Tableau, or other data visualization software.Experience with crafting and analyzing online experiments with a good understanding of A/B testing.Ability to conduct sophisticated analyses and regularly use advanced statistical methods (ex. Propensity Score Matching, Causal Impact, Regression Models) in your work.Comfortable with distilling complex insights into compelling narratives for senior executives, both verbally and visually.
Additional Information
What's Next
If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.
For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska.


Lead Data Scientist Operations Research And Simulation

Rivian is seeking a simulation expert to assist in designing and optimizing fulfillment process using discrete event simulations for Commercial Operations. Perform process modeling and simulations, statistical analysis, and design on experiments to drive decisions on processes and designs.
Responsibilities

Build Discrete Event Simulation (DES) models to build, simulate, and optimize the fulfillment operational process flow models using FlexSim, Demo 3D, AnyLogic or any other Discrete Event Simulation (DES) software packages to determine future state performance under varying conditions
Understand process flows, analyze data, perform Design of Experiments, and effectively represent in simulation model to achieve better correlation and process improvements
Analyze, interpret and facilitate process improvement initiatives among site operations, logistics, last mile operations and upper funnel groups.
Enhance models on ongoing basis to ensure continued alignment with business.
Examine key business data by identifying, cleaning, and providing analysis and insights. Validating data fidelity and creating data where none currently exists.
Generate insights and present findings to senior management using data visualization and presentation programs to make business recommendations.
Key partners to collaborate with include IT, Finance & Accounting, Treasury, Manufacturing & Engineering, Various Operations Teams, People Team, Strategy, Marketing, Commercial Analytics

Requirements

Master’s degree in Operations Research/Industrial Engineering, Statistics, Mathematics or related technical field required
3+ years of experience in building simulation models – discrete event simulation, agent based and hybrid simulation models.
Proficiency in Python, Java or other programming languages
Proficient in SQL, Tableau, and Excel.
Familiarity with AWS preferred
Experience in supply chain
Ability to quickly understand and map systems, processes, and operations
Experience in a dynamic and agile environment requiring high-adaptability, management of multiple projects, excellent cross-functional communication and presentation skills
Continuous improvement attitude: ability to suggest and implement best practices
Willing to travel (up to 5%)

Salary Range for New York City (not state) Based Applicants: [ 162,000 - 210,000 ] (actual compensation will be determined based on experience, location, and other factors permitted by law).