Senior Data Scientist

Description
The Moz Group Data Engineering teams are looking for an experienced Data Scientist with a strong Python background. This position will work from an engineering perspective with both the engineering and product teams to improve data modeling within our services and products. The ideal candidate will have experience using a broad set of statistical and machine learning techniques including supervised / unsupervised data sets and NLP.
Responsibilities
Comfortable learning Moz's SEO domain, creating appropriate models, and working with engineering and product teams to see those models implemented and released in the context of a standard framework, e.g. Spark or HadoopComfortable engaging with both engineering and product teams to educate them on data science topics, identify opportunities to apply data science to further our business and operational objectives, and advocate for action based on these identified opportunities
Technologies
Python Cloud providers, e.g. AWSPrototyping, e.g. Jupyter NotebookFrameworks, e.g. Spark, Hadoop, pandas
Data Science Skills
ForecastingInferential statisticsRegression / classificationNLP, e.g. Word2Vec
About the Moz Group
The Moz Group, a subsidiary of Ziff Davis, Inc (NASDAQ: ZD), is a leading provider of marketing technology solutions primarily for small and medium-sized enterprises that empowers businesses to engage their customers digitally and grow their revenue by leveraging the power of online search, email, voice, and text communications.
About Ziff Davis
At Ziff Davis, we work in a culture of collaboration and welcome those who desire to join our growing global community. We seek enthusiastic individuals with an entrepreneurial spirit looking for and environment that rewards your best work.
Ziff Davis offers competitive salaries, health benefits, and company-sponsored events. If you are seeking a dynamic work environment where you can see the direct impact of your performance, then Ziff Davis is the place for you. We offer a fun and friendly working environment where individuals are given the opportunity to learn, grown and build on their skills.#Moz


Sr Principal Data Scientist Telecommute

Combine two of the fastest-growing fields on the planet with a culture of performance, collaboration and opportunity and this is what you get. Leading edge technology in an industry that's improving the lives of millions. Here, innovation isn't about another gadget, it's about making health care data available wherever and whenever people need it, safely and reliably. There's no room for error. Join us and start doing your life's best work.(sm)
Join our Personalization Team, as a Principal Data Scientist, which works on solving recommendations, ranking, user condition predictions, and search problems. We are KPIs driven team that leverages Machine Learning (ML) to provide a personalized experience. In this team, you would work with brilliant data scientists and engineers to build end-to-end solutions to meet product needs. We are also very passionate about our engineering excellence and pride ourselves of releasing solid solutions to production. We leverage state of art machine learning and strive for low latency solutions.
You’ll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
Apply advanced statistical and predictive modeling techniques to data related to the optimization of healthcare and digital experiences Propose innovative ways to look at problems using data mining, statistical analysis and machine learning Communicate findings, verbally and visually, to business partners and clients Seek out new data sources and verify integrity of data that fill gaps and improve models Support business needs around analytics, predictive modeling and business intelligence Collaborate effectively with internal clients, transforming their needs into data science use cases Provide on-going tracking and monitoring of performance of statistical models and recommend ongoing improvements to methods and algorithms
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:
Master’s degree in computer science, applied mathematics, (bio) statistics, applied statistics, economics, or similar quantitative fields of study Hands-on experience in developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques  Skilled in python, tensorflow, pytorch and/or pyspark Ability to translate business need and requirements into technical solutions  Ability to turn state-of-art research into production level codes.
Preferred Qualifications:
Ph.D. degree in computer science, applied mathematics, (bio) statistics, applied statistics, economics, or similar quantitative fields of study Experience in developing and deploying models related to recommender system, NLP and time series forecasting Experience in developing algorithms for search engines (e.g. name entity recognition, intent classification, spell correction, autocompletion), cold-start recommendation, semi-supervised learning (e.g. positive unlabeled learning) Solid analytical and problem-solving skills
To protect the health and safety of our workforce, patients and communities we serve, UnitedHealth Group and its affiliate companies require all employees to disclose COVID-19 vaccination status prior to beginning employment. In addition, some roles and locations require full COVID-19 vaccination, including boosters, as an essential job function. UnitedHealth Group adheres to all federal, state and local COVID-19 vaccination regulations as well as all client COVID-19 vaccination requirements and will obtain the necessary information from candidates prior to employment to ensure compliance. Candidates must be able to perform all essential job functions with or without reasonable accommodation. Failure to meet the vaccination requirement may result in rescission of an employment offer or termination of employment
Technology Careers with Optum. Information and technology have amazing power to transform the health care industry and improve people's lives. This is where it's happening. This is where you'll help solve the problems that have never been solved. We're freeing information so it can be used safely and securely wherever it's needed. We're creating the very best ideas that can most easily be put into action to help our clients improve the quality of care and lower costs for millions. This is where the best and the brightest work together to make positive change a reality. This is the place to do your life's best work.(sm)
Colorado, Connecticut or Nevada Residents Only: The salary range for Colorado residents is $113,500 to $218,100. The salary range for Connecticut / Nevada residents is $113,500 to $218,100. 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 Telecommuters will be required to adhere to UnitedHealth Group’s Telecommuter Policy.
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.


Staff Applied Research Scientist Prediction

We’re Cruise, a self-driving service designed for the cities we love.
We’re building the world’s most advanced, self-driving vehicles to safely connect people to the places, things, and experiences they care about. We believe self-driving vehicles will help save lives, reshape cities, give back time in transit, and restore freedom of movement for many.
Cruisers have the opportunity to grow and develop while learning from leaders at the forefront of their fields. With a culture of internal mobility, there’s an opportunity to thrive in a variety of disciplines. This is a place for dreamers and doers to succeed.
If you are looking to play a part in making a positive impact in the world by advancing the revolutionary work of self-driving cars, join us.
Prediction Teams at Cruise are responsible for developing machine learning models to create a probabilistic representation of the world surrounding our vehicles to safely and effectively maneuver them around cities. Moreover, the team you build and grow will solve exciting challenges around what different agents (like other cars, buses, animals, pedestrians) are going to do in the next few seconds, their future paths, and how all those elements and more affect one another. You will work closely with our perception and robotics team to get the data you need from a variety of sensors, simulation data, and high-fidelity maps.
As a Staff Applied Research Scientist, you drive the research projects that address the everyday challenges that happen on urban roads, ones that do not have standard solutions available. On a day-to-day basis, you will:
What you’ll be doing:
Formulate problems; initiate and lead technical projectsExplore, prototype, validate, and iterate new algorithmsSupport productizing and deploying solutions to robot carsConsidered one of the technical leaders of the department who guides current and future technology choicesHave a deep understanding of the business and operational impact for different technology tradeoffs, and able to balance effectively based on company’s needEnable others engineers on the team to be more effective through design and code that is easy to extend and contribute intoCapable of influencing others and building consensus even over contentious technical debates
What you must have:
PhD / MS degree in machine learning or a related field with research publications in top conferences or journals; alternatively equivalent years of industry experience solving ML problems without readily-available solutionsExtensive experience with ML frameworks such as Tensorflow, Caffe, and PyTorch Extensive experience with machine learning and classification Strong programming skills in Python or C++Excellent mathematical reasoning skills, especially with probability Passionate about self driving car technology and its impact on the world!
Bonus points!
Experience with ROS, OpenCV, Gazebo, or PCLExperience with CUDATrack record in deploying prediction models into real world environmentsExperience with autonomous driving technologies
Why Cruise?
Our benefits are here to support the whole you:

Competitive salary and benefits
401(k) Cruise matching program
Medical / dental / vision, AD+D and Life
One Medical membership
Subsidized mental health benefits
Flexible vacation and company paid holidays
Healthy meals and snacks provided for non-remote employees
Paid parental, jury duty, bereavement, family care and medical leave
Fertility Benefits
Dependent Care Flexible Spending Account, subsidized by Cruise
Flexible Spending Account
Monthly wellness stipend
Pre-tax Commuter Benefit Plan for non-remote employees
CruiseFlex - a working policy for US-Based Cruisers that lets you and your manager find what working style is best for you, whether it’s primarily in-person, primarily at home or a combination of home and in-office time.

We’re Integrated

Through our partnerships with General Motors and Honda, we are the only self-driving company with fully integrated manufacturing at scale.

We’re Funded

GM, Honda, Microsoft, T. Rowe Price & Walmart have invested billions in Cruise. Their backing for our technology demonstrates their confidence in our progress, team, and vision and makes us one of the leading autonomous vehicle organizations in the industry. Our deep resources greatly accelerate our operating speed.

We’re Independent

We have our own governance, board of directors, equity, and investors. Our independence allows us to not just work on the edge of technology, but also define it.

We’re Vested

You won’t just own your work here, you’ll have the potential to own equity in Cruise, too. We are competing in a market that is projected to grow exponentially, which gives our company valuation room to grow.
Recurring Liquidity Opportunity (RLO) - a unique equity program where employees, both current and former, have the option to sell any amount of their vested equity on a recurring basis, currently quarterly.

Cruise LLC is an equal opportunity employer. We strive to create a supportive and inclusive workplace where contributions are valued and celebrated, and our employees thrive by being themselves and are inspired to do the best work of their lives.
We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Cruise will consider for employment qualified applicants with arrest and conviction records, in accordance with applicable laws.
Cruise is committed to the full inclusion of all applicants. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know or email HR@getcruise.com.
We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. To help us track the effectiveness and inclusivity of our recruiting efforts, please consider answering the following demographic questions. Answering these questions is entirely voluntary. Your answers to these questions will not be shared with the hiring decision makers and will not impact the hiring decision in any way. Instead, Cruise will use this information not only to comply with any government reporting obligations but also to track our progress toward meeting our diversity, equity, inclusion, and belonging objectives.
Vaccine Mandate.
At Cruise, we’re tasked with leading in the communities we serve — and doing our part to help keep our communities and our teams safe. Our #StaySafe culture transcends and informs all we do, and because of this, as of October 31, 2021 Cruise will be mandating COVID-19 vaccinations for all US-based Cruisers who need or want to access any of our US Cruise facilities and engage in any business travel — including attending any in-person Company-sponsored event.
If you are unable to get a vaccine due to a medical condition, disability, or a strongly-held religious belief, Cruise will consider requests for an accommodation.
Note to Recruitment Agencies: Cruise does not accept unsolicited agency resumes. Furthermore, Cruise does not pay placement fees for candidates submitted by any agency other than its approved partners.


Staff Data Scientist

About Us:
We believe teachers have one of the most vital jobs in the world, and we’re here to support them. What began as a word-of-mouth marketplace where teachers could buy and sell educational resources is now a teacher-powered digital learning platform. Our community of 7M+ educators relies on us for engaging, accessible, classroom-ready materials—and we rely on our team members to continue developing solutions that improve the lives of teachers, students, and, ultimately, the state of education itself.
Role:
As a Staff Data Scientist, you are embedded on a Product team, working with product managers, engineers, data analysts, and business teams, and using your curiosity, creativity, and statistical skills to find valuable insights about our marketplace, our systems, and our users.You use techniques such as statistical modeling, machine learning, natural language processing, and data visualization to explore data, test hypotheses, identify underlying causes and patterns, and find the best ways to turn these insights into better decisions and product improvements. You actively support the success of other Data Scientists, ensuring that the team’s projects and processes are focused, on track, and high quality and that partnerships with other teams are effective and coordinated. You actively work to advance the role of data science within our products and business, and advance the capabilities of the data science team.
Responsibilities:

Provides technical support for data science projects owned by the team, as well as mentorship and guidance to the members of the team, and provides technical leadership within at least one area of expertise
Understands latest developments in data science, and can apply them to the team’s work when appropriate. Enrich the team through sharing recent advances in data science research.
Drives company-wide impact and informs strategic decision-making by generating and testing hypotheses, surfacing insights, and building models.
Collaborates with stakeholder teams on projects, asking clear questions to gain understanding of their challenges and decisions, and proposing impactful research plans.
Partners with other research and analysis teams at TpT to extend our culture and practice of learning, institutional knowledge, and domain expertise.
Delivers compelling reports, presentations and materials on the results of research that can be easily understood by non-technical audiences.
Analyzes data quality issues, identifying root causes and remedies.
Helps to recruit new team members by conducting interviews that assess a candidates’ technical ability and demonstration of our values.

Qualities of a successful candidate:

A track record of value-creation in previous organizations, using data science techniques to model and explain user behavior
Advanced knowledge of SQL and Python for data science, including reproducible research tools and processes, data exploration and visualization, and statistical modeling.
A deep understanding of statistical methods and practices, including experimentation, advanced regression and probabilistic modeling.
Able to choose machine learning models, train and tune them with good practices, extract insights, and suggest opportunities to productionize them.
Outstanding communications skills, including the ability to speak clearly to technical and nontechnical audiences, present insights to groups, and to write clear, concise research results and summaries.
Able to keep complex projects on track and focused on value-creation.
5+ years of industry experience on an insights-focused data science team.

Extra Credit For:

Experience with Ed-Tech or e-commerce marketplaces
Experience with Search and Recommendations systems
Open source contributor or active in your professional community

Benefits & Perks:
At TpT, we believe the positive experience of employees is essential to growth, both individually and collectively. To achieve our mission of ‘Empowering Educators to Teach at Their Best,’ we must also empower the members of our TpT Team to work at their best. To that end, two of our core company values are “We Learn and Grow Together” and “We Enjoy the Journey.” We’ve committed to these values and to our employees through investing in added benefits and perks:

Comprehensive Medical, Vision & Dental Benefits
Free Telemedicine Membership - 24/7 access to trusted medical advisors
Generous PTO and Wellness Days
5 Week “Recharge Leave” after 5 Years, to refresh and celebrate the impact you’ve had at TpT
Generous Parental Leave (for new parents) for time to adjust to parenthood, plus additional six weeks for the birth parent
‘Employee Resource Groups’ (ERGs) to promote employee inclusivity and belonging
Engineering Learning Fridays (ELF), to provide a space each week for Engineering teams to collaborate and learn from each other
‘Professional Development’ Stipend, to support the professional growth of employees (including - but not limited to - subscriptions, books, lectures, etc.)
Annual Company Events (Camp TpT, Field Day, Hackathons, Holiday Party, Summer Picnic, Classroom Visits, etc.)

Here at TpT we value Diversity & Inclusion and encourage people to bring their most authentic selves to work.  We cultivate an environment where people are recognized and celebrated for their individuality.
Any TpT applicant who requires reasonable accommodations during the interview process should contact the TpT People Ops Team (accommodations@teacherspayteachers.com) to make the need for an accommodation known.
Finally, if you’re a California resident, California law requires that we provide you notice about the collection and use of your personal information. We encourage you to read it carefully. You can find our full notice here.


Data Scientist

At Donut we are on a mission to create more trusting, collaborative, and successful work relationships. We believe genuine relationships are the key to being engaged, happy, and successful at work.

Donut came together over a shared passion to help people connect, and the insight that strong relationships at work are the bedrock of a successful team. Employees who feel socially connected to their coworkers express greater individual purpose and fulfillment, less workplace loneliness and isolation, and improved performance and productivity. We are building a company that embodies those ideals while instilling them in others.

How we work:

Our small, fully remote product, design, and engineering team is filled with empathetic and caring individuals dedicated to unlocking the power of human connection. We’re organized as smaller (three to six person) pods that evolve a few times a year based on our objectives and the addition of new talent.  We build new features together in two-week sprints and this cadence aligns with other company rituals. Our core connection hours are 11 a.m. – 5 p.m. ET / 8 a.m. – 2 p.m. PT.

About the role:

We are looking for our first Data Scientist to join our team. To-date, basic data analysis activities have been conducted in Periscope Data dashboards and in Mixpanel by a mix of engineers and people in operations and product/design. As Donut deepens its product capabilities, we are eager to add more and better data-derived insights to our approach for user-centric product development.

This role is all about high impact. If you’re eager to guide big choices, pick low-hanging fruit, and see user and business outcomes quickly, we’ll be a great match. If you’re primarily interested in theoretical ML or deep learning, then Donut is probably not at the right stage for you. This is a chance to apply your analytical craft with a team that respects your work.

Like many startups, we have a near-endless backlog so optimizing prioritization is essential. You’ll have the chance to build things right from the ground up: to make crucial foundational decisions to better incorporate discrete signals in our product development process.

You will report to the VP of product but your scope will follow opportunities wherever they are. This may include analysis, for example, higher in the marketing funnel or overlapping with our customer support organizations’ scopes. We’re a collaborative company so doing the right things for our users is more important than rigid boundaries of roles. (Just for clarity: this is not a euphemism for being immature, disorganized, or chaotic. :)

What you’ll do:

Interpret data, generate hypotheses, draw conclusions, and help establish and refine metrics and dashboards.
Act as an internal consultant for product/design/engineering, marketing, customer, and other operations teams, translate business problems into data analyses and collaborate with counterparts to recommend actions and help prioritize product and engineering work.
Work closely with engineering to ensure the scalability – accuracy, availability, and integrity – of Donut’s data pipeline while also leading foundational choices for data.
Consider trade-offs and select optimal, maintainable paths. This includes data engineering and infrastructure considerations like evolving the data warehouse and selecting other tools and methods.
Advance a healthy, connected, and continuous learning culture across all functional teams.

About you:

Data Expert. You’re passionate about data, analysis, trends, and metrics applied to growth stage businesses. This may come from a background of undergraduate or graduate study in fields such as math, computer science, operations research, economics, statistics, engineering, or other quantitative fields—or equivalent experience in non-academic work (no degree is required for this role). You have at least three years of industry experience in user-facing data science or analytics, especially for SaaS businesses or e-commerce funnels.

Excited to Execute. Eager to get your hands dirty with potentially messy data to uncover product opportunities. Experience working with databases, SQL database queries development and analysis, and potentially other scripting/programming languages (like Python or R).

Foundation Builder. Very comfortable collaborating with engineers to enable access to not-yet available data: creating and improving data engineering / ETL (extract-transform-load), and data infrastructure.

Versatile. Experience in developing analytical models to solve ambiguous business problems, especially across multiple teams or product areas. Knowledge of applied statistical methods (modeling, causal inference), experiment design (hypothesis, A/B and multivariate testing), measurement, and program evaluation. Nice to have: experience with simulation and optimization techniques.

Storyteller. Have distilled interesting insights into compelling, succinct narratives and visualizations that can influence product development and decision making at all levels, technical and non-technical: from customer support and engineering ICs to executive team members and investors.

Our hiring process:

We’re a small team so it may take us a little more time to review your application. Thank you for your patience and understanding!

The salary range for this role is $125,000-$175,000 annually.

Benefits (full-time US employees)

- Medical, Dental, and Vision benefits
- 401(k) with company match
- Diversity, Equity, and Inclusion program
- Unlimited paid time off and 10 company holidays
- Paid family leave
- Monitor stipend
- Home office stipend
- Mental health benefit

About Donut

Donut has made millions of connections and is used by over 20,000 companies. Donut has raised $12M in venture-funding from investors including Accel, Bloomberg Beta, FirstMark, and Slack Fund: https://techcrunch.com/2020/10/29/donut-watercooler/

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


Data Scientist

Company Description
Amwell is a leading telehealth platform in the United States and globally, connecting and enabling providers, insurers, patients, and innovators to deliver greater access to more affordable, higher quality care. Amwell believes that digital care delivery will transform healthcare. The Company offers a single, comprehensive platform to support all telehealth needs from urgent to acute and post-acute care, as well as chronic care management and healthy living. With over a decade of experience, Amwell powers telehealth solutions for over 2,000 hospitals and over 55 health plan partners with over 36,000 employers, covering over 80 million lives.
Brief Overview:
Working closely with cross-functional business partners, the Data Scientist will support development of data assets, statistical analyses, and analytic insights that drive operational performance, client performance, industry knowledge, and product innovation.
The ideal candidate is a self-starter with insatiable curiosity.  S/he must be able to proactively identify and lead opportunities to improve processes and deliverables while demonstrating quality and accuracy of data assets and analytic deliverables through close attention to detail and strong follow-through.
Core Responsibilities:

Support development of scalable and automated analytic processes and workflows
Support development of ETL data flows
Ensure quality and accuracy of data
Support development of novel data assets (e.g., data enrichment and integration) and metrics (e.g., feature engineering and data reduction)
Support development of statistical analyses, e.g. exploratory data analysis, unsupervised and supervised learning and statistical modeling (including machine learning)
Support development and deployment of statistical/machine learning models
Support design and execution of experiments
Support initiatives to improve processes for, and quality of, data assets and analytic deliverables
Support development of analytic insight that drive product innovation, operational and client performance, and industry trends
Analyze data for anomalies and early indication of bugs in deliverables
Build intuitive and modern analytic products, including incorporating data visualization best practices
Stay abreast of analytic technologies (e.g., Data lakes and analytics on AWS, R, Python, Looker, Tableau, Power BI, etc.)
Document programming scripts, processes, and deliverables
Develop internal network of colleagues, based on a reputation for collaboration, execution, and high-quality work

Qualifications:

2+ years of experience as a data scientist/applied statistician building advanced statistical and machine learning models
Strong forecasting and modeling experience is required
Intermediate to Advanced proficiency with R is required
Proficiency with Python or other high level data analytic programming languages
2+ years of SQL, including complex queries of multiple data sources
2+ years of developing scalable and automated ETL processes
Knowledge of BI tools (e.g. Tableau, Looker, Domo) is a plus
Capable of working on multiple projects and context shift quickly in a fast-paced environment
Ability to translate incomplete or immature objectives into well- defined requirements
Excellent verbal and written communication
1+ years of experience in the SaaS industry (preferably in a data analyst type role) is a plus
Familiarity with the health care industry is a plus

Additional information
Working at Amwell
We strive to make the hard work of healthcare look easy. In order to make this a reality, we look for people with a fast-paced, mission-driven mentality. We’re a go-getter culture that prides itself on quality, efficiency, smarts, initiative, creative thinking, and a strong work ethic. Amwell is headquartered in Boston, MA with additional offices in Reston, VA and Seattle, WA.  In addition to the opportunity to build the future of healthcare technology, we offer:

Unlimited Paid Time Off
401K match
Competitive health, dental and vision insurance plans
The equipment and resources needed to be successful working in a remote setting


Senior Data Scientist

In the time it takes you to read this job ad, around 100 new accounts will have signed up to Linktree. Since 2020, Linktree has 🚀 from 4M to over 25M accounts, scaling from 20 team members to over 200. Oh, and our brand has a completely new look and feel.

To learn more about how we work (and get the 101 on our $6K AUD flexible benefits package), keep reading.

P.S. If you don’t tick every box in this ad, please don’t rule yourself out just yet. We’ve seen the research that people from underrepresented backgrounds tend to only apply when the checklist is all ticks. We take pride in inclusion and  hiring incredible human beings with great potential over ticking boxes – so if this role resonates with you, hit that apply button!

What You Will Own:

As a Senior Data Scientist at Linktree, you’ll contribute to various data-led initiatives. You’ll work with large volumes of data to develop meaningful insights, and build high-quality machine-learning powered data products that enable our users to make more informed decisions online. The key focus to start with is our linker recommendation system. In collaboration with machine learning and application engineers, you’ll take ownership of delivering solutions end-to-end, empowering linkers to get the most from our product.

When requirements arise you will step up to develop end-to-end analytical products using the tools and techniques, including machine learning and statistical techniques. You’ll be actively focused on building foundations, defining reusable patterns, and automation testing.

With a great level of intellectual curiosity and creativity you’ll innovate to go beyond constraints and current tooling to deliver the best solutions to complex problems. You will have the skill and interest to collect, organise, analyse and present large amounts of information with high attention to detail and accuracy.

What We're Looking For:

4+ years of Data Science Experience
Experience in Python and with some analysis libraries (numpy, scikit-learn, tensor flow, pandas, pytorch) and SQL is a must
Experience working with event-oriented data sets of large size, unstructured events and diverse schemas in cloud databases
Working knowledge of data processing tools/libraries like Dask, Spark, Glue.
Experience with various data science concepts; regression modelling, clustering, classification, optimisation
A deep understanding of feature engineering, feature selection, modelling, evaluation and other practical machine learning techniques hyper-parameter tuning, distributed training, data lineage, drift
Applied ML experience with the Science portion of building end to end data/ML services/solutions in any of the domains such as computer vision, natural language processing, time series analysis
Experience with or interest in operationalising ML and adopting MLOps principles in collaboration with other ML practitioners on the team like ML Engineers and MLOps Engineers.
Some familiarity with AWS services like Lambda, API Gateway, Kinesis, Sagemaker is preferred but not required
Strong analytical and critical thinking skills
High level of attention to detail and accuracy
Strong communication skills – verbal and written – to be able to break down complex topics into simple solutions and ideas.
Strong collaboration mentality.
Passion for growth and scale, and an understanding of the ambiguity that can come with this.

Where & How We Work

We are a global, diverse group across age, gender, and race and offer a truly flexible and family friendly work environment. Kids, pets, and the occasional delivery person are all actively encouraged to appear on our Zoom screens. All of us at Linktree work either fully remote or a hybrid "remote, but in-office sometimes" approach and that will continue even when COVID is behind us.

We currently have offices in Melbourne, Sydney and LA is coming next, but our team is spread across Australia, United States, and New Zealand. Growing from 20 people in early 2020, to 50 in 2021 and over 200 in 2022, Linktree is still growing!

Being globally distributed doesn't mean working to one timezone and we offer autonomy and flexibility in how you structure your days and weeks. There will be the need for some collaboration outside of a "normal" 9-5 being a global company, but we aim to work asynchronously where possible.

Our Culture & Benefits

Linktree's company culture and values are based around collaboration, diversity, inclusion, and flexibility. Those are all nice words but to give you some more specific examples:

- We recognise that each person is unique and have designed our benefits with this in mind. Each person has up to $6000 AUD annually to spend across Wellness, Growth, Lifestyle, and Impact pillars. This could be spent on things like (but not limited to): fitness memberships, development courses, books, childcare, pet insurance, mental health support, bike equipment, travel, or green energy initiatives.

- Employee Stock Option Program - we want each and every employee to share in the company’s success as we go further together.

- We have a paid 18-week parental leave program that is inclusive of birth and non-birthing parents and supports the whole parenting lifecycle. We also offer 4 weeks of paid leave for early pregnancy loss and the full parental leave for later pregnancy loss, in addition to a support program.

- We are proud to offer all regular full-time and part-time employees 20 hours paid volunteering leave per calendar year.

- Flexibility is at the core of Linktree, so whether you prefer fully remote, the office, or a bit of both, the choice is up to you. We trust you to get the work done.

- We have several diversity and inclusion initiatives underway, including a D&I council, training for all staff on neurodiversity, unconscious bias, and the incorporation of a transpositive inclusion policy.

- We prioritise our team's mental health, with all employees having free access to Headspace and Uprise, including 1:1 coaching sessions from qualified psychologists or counsellors.

- All Linktree staff receive $1000 AUD towards setting up their work from home space.

The Linktree Story

We created and defined the “link in bio” category in 2016 to solve a common pain point for creators, brands and businesses: they had no way to consolidate their content and digital identities. The internet was becoming increasingly  fragmented, so we launched a simple tool that allows anyone to manage their corner of the digital universe. We’re giving our users control of how the world discovers them – because why should you be defined by only one link?

Fast forward to 2022: Linktree is now used by some of the world’s biggest brands including TikTok, the LA Clippers, The UN Environmental Programme, Manchester United, and Wear it Purple, as well as celebrities including Selena Gomez, Alicia Keys, Shawn Mendes, and Dwayne 'The Rock' Johnson.

With close to 40,000 signups per day (and no sign of stopping), we’re on a mission to empower anyone to curate and grow their digital universe – come join us for this ride!

At Linktree, we celebrate and support everyone’s perspective and background, and we’re proud to be an equal opportunity workplace. We aim to foster a diverse and inclusive environment where all team members have a sense of belonging, because we believe in going further together. Linktree welcomes all people regardless of sex, gender identity, race, ethnicity, disability, pregnancy, age, or other lived experience.


Senior Data Scientist Manager

The world isn’t standing still, and neither is Allstate. We’re moving quickly, looking across our businesses and brands and taking bold steps to better serve customers’ evolving needs. That’s why now is an exciting time to join our team. You’ll have opportunities to take risks, challenge the status quo and shape the future for the greater good.
You’ll do all this in an environment of excellence and the highest ethical standards – a place where values such as integrity, inclusive diversity and accountability are paramount. We empower every employee to lead, drive change and give back where they work and live. Our people are our greatest strength, and we work as one team in service of our customers and communities.
Everything we do at Allstate is driven by a shared purpose: to protect people from life’s uncertainties so they can realize their hopes and dreams. For more than 89 years we’ve thrived by staying a step ahead of whatever’s coming next – to give customers peace of mind no matter what changes they face. We acted with conviction to advocate for seat belts, air bags and graduated driving laws. We help give survivors of domestic violence a voice through financial empowerment. We’ve been an industry leader in pricing sophistication, telematics, digital photo claims and, more recently, device and identity protection. We are the Good Hands. We don’t follow the trends. We set them.
Job Family Summary
Data, Discovery, and Decision Science (D3) is the research and analytics organization at Allstate. In D3, you’ll be surrounded by 360+ tenacious and intellectually curious colleagues in an inclusive culture that encourages you to take risks, challenge the status quo and shape the future for the greater good. We are solving some of today’s most complicated analytics problems, making the lives of our Allstate colleagues easier and more productive, and driving our mission to deliver targeted insurance solutions to our customers. We are partnering to incorporate analytics into every aspect of the enterprise. We are avid about learning new ways to get the most value from our massive data resources and leading-edge technology. We are committed to building an inclusive and diverse team where everyone has an equal opportunity to succeed. We strive to hire people from different backgrounds so that we can better serve our diverse customer needs.
Job Summary:
Traditionally, filing an insurance claim consists of a lengthy initial call, followed by a complex experience of several phone calls, emails and paperwork to indemnify the involved parties. This is a time-consuming process and not the type of experience customers have come to expect in 2022. For this reason, Allstate has launched a 3-pronged digital initiative to transform the way that claims are handled:

1.    Redesign and simplify the claims process to be customer centric.
2.    Provide technology solutions for asynchronous claims handling, allowing customers to interact with Allstate in the manner they prefer, at the time they prefer.
3.    Identify and build data science solutions for usage in this new digital process to expedite the handling of the claim and reduce customer effort in completing the process more rapidly.
As a D3 Claims Digital Transformation Manager, you'll be responsible for the data science arm of this transformation. To support this transformation, you'll partner with Allstate teams in solving business problems using data science. You'll work closely with technology and claims to build and execute on a data science roadmap. Claims, technology and data science will work together as one team to accomplish a common goal.
You will lead a diverse team of data scientists, data engineers and business consultants to drive rapid change. In addition to traditional machine learning, your team will also have responsibility for building computer vision and natural language processing models. In the spirit of agile, you will lead the team to quickly develop analytic prototypes, test the prototypes in market, develop the prototypes into full products, deploy the products for widespread usage, and continue iterating on these products.
Key Responsibilities:
Translates vision and strategies into roadmaps and projects
Effectively influences business partner adoption of insights and solutions; demonstrates knowledge of business problems, requirements and context
Develops and delivers communications for complex technical projects to non-technical audiences (appropriate audience, vehicle, level of detail, urgency)
Balance the need for analytic models to be delivered in 2022 while also investing in a pipeline of research for future analytic opportunities.
Ensure proper test and learn of data science models. Also support claims and technology in effective testing of non-analytic changes to the claims process.
Education and Experience:
Bachelor’s Degree or equivalent experience; May also have advanced degree.
Demonstrate a strong background in data science.
Experience managing a large data science team. This includes data scientists and data engineers.
Experience hiring and growing data science talent.
Compensation offered for this role is $119,700 - $180,000 and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
Good Work. Good Life. Good Hands®.
As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life -- including a generous paid time off policy. For a full description of Allstate’s benefits, visit allstate.jobs/benefits/
Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
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To view the “EEO is the Law” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.


Clinical Data Scientist

Job Summary:

Q-Centrix has been collecting and building high-value datasets for providers for over a decade, supporting dozens of disease areas and over 1200 hospitals and health systems. Q-Centrix is implementing a robust data infrastructure solution to further advance our mission of unlocking the value of clinical data – building innovative tools, analytics, and research initiatives for the healthcare ecosystem. As part of that journey, we’re hiring.

In this role, you’ll report to the SVP of Real-World Data to interpret clinical datasets across a range of conditions, from cardiovascular to surgery to cancer. This will be to support our customers broadly, in addition to helping to drive a more detailed understanding of the data we have and inform operational workflows.

Clinical data science will be a new discipline at Q-Centrix, and this role will help catalyze this functional area.

Essential Functions:

Supporting feasibility and creation of cohorts based on clinical criteria
Participating in the design of our next generation cross-disease data model
Help in designing and overseeing the development of data quality and control activities
Analyze the robustness of datasets, assessing the research value in different use cases
Help support “data usability” initiatives, including participating in the design and creation of a range of supporting materials for end-users of our datasets

Other Duties: As a growth organization, roles and responsibilities often evolve and adapt over time. As such, this job description may not comprehensively account for future activities, responsibilities, and priorities—these may evolve right along with us!

Required Skills/Abilities:

3-5 years working with life sciences, healthcare, or real-world data companies supporting analysis, biostats, outcomes research, etc.
Experience with relational database
Proficient in SQL and Python or R
You have a familiarity with EMR and/or other clinical datasets
You are comfortable researching clinical concepts and “translating” that to the data, with the support of clinical experts, abstraction experts, and our customers
You are comfortable with the ambiguity that comes from building new initiatives in established companies
You are able to identify problems and associated solutions in the context of a high-velocity, high volume data business
You are able to present analytical results and ideas to a range of technical and non-technical stakeholders

Additional Information:

Preferred Education and Experience: N/A
Supervisory Responsibilities: None
Work Environment/Physical Demands: Continuous sitting and fine manipulation.
Travel Requirements: 5%
Work Authorization:  Legally able to work in the United States without sponsorship

At Q-Centrix, we hire people who love learning, value innovation, and believe in our mission and values to improve outcomes in healthcare. We applaud qualified applicants who are accountable and committed to producing quality work. As an Equal Opportunity Employer, we support and value diversity, dignity, and respect in our work environment, and are committed to creating an inclusive environment in which everyone can thrive.

We employ people based on the needs of the business and the job, and their individual professional qualifications. Here’s what does not impact our employment decisions: race, religious creed, religion, color, sex, sexual orientation, pregnancy, parental status, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status, health, marital, civil union or domestic partnership status, or any status or characteristic protected by the laws or regulations in locations where we operate. If you are an individual with a qualified disability and you need accommodation during the interview process, please reach out to your recruiter.

We celebrate and embrace these differences and take pride in our commitment to being an equal opportunity team.


Director Ai Products

HubSpot is the #2 best company to work for on Glassdoor. We’re also scaling in every dimension: users, revenue, people, technology, systems, and more.
We’re looking for a Director of Product to develop and lead the vision and strategy of AI/ML at HubSpot. You will report directly to the GM & VP of Product and build/grow teams of Product Managers and Product Leaders to support the AI strategy.
This is a great opportunity to lead a relatively new, yet highly visible and strategic Product Group at HubSpot. The group already has a talented team of PMs, a strong foundation of AI practices & infrastructure, and a highly successful flagship product (Conversation Intelligence). We need a seasoned Product leader to help expand our AI/ML platform, to greatly increase our portfolio of AI Products, and scale our team of AI PMs. This person will be looked upon to be the vision and voice of AI/ML across HubSpot.
What you’ll do
Establish the vision & strategy for AI/ML across HubSpot’s CRM platform
Build, coach and empower a diverse team of PMs to support the AI/ML strategy
Drive adoption of our flagship AI-based product - Conversation Intelligence
Identify opportunities and launch new flagship AI-based products
Enable other product teams across HubSpot to leverage our AI/ML platform & infrastructure to leverage/integrate AI throughout their products
Represent HubSpot as a thought leader and visionary in AI
Create and foster an inclusive culture
What we are looking for
7+ years experience building and developing medium-to-large teams of high-performing Product Managers and Product Leaders
Deep domain expertise in AI & Machine Learning
Experience building and growing successful, user-facing AI-based products
Experience identifying and launching new products (0→1) and scaling existing products
Experience working with C-level stakeholders, Product, and Engineering leadership to establish and sell a product vision and strategy
Superb written and verbal communication
Data-driven orientation and growth mindset
An obsession for understanding and improving user experience
Ability to build trust, respect, and empathy, and to foster a sense of team and mission
Someone who can add to the culture of the product team and cares about diversity, inclusion and belonging


Data Scientist

Your Future Evolves Here

Vital Decisions, a division of New Century Health and the newest addition to the Evolent Health portfolio.

We help people facing serious health conditions advocate for the experience they want, feel in control of their medical choices, avoid chaos in a crisis, and improve the quality and value of the care they receive. As part of Evolent Health, we are on a bold mission to change the health of the nation by changing the way health care is delivered. Evolenteers make a difference wherever they are, whether it is at a medical center, in the office, or while working from home across 48 states. We empower you to work from where you work best, which makes juggling careers, families, and social lives so much easier. Through our recognition programs, we also highlight employees who live our values, give back to our communities each year, and are champions for bringing their whole selves to work each day. If you’re looking for a place where your work can be personally and professionally rewarding, don’t just join a company with a mission. Join a mission with a company behind it.

Why We’re Worth the Application:

We continue to grow year over year.
Recognized as a leader in driving important diversity, equity, and inclusion (DE&I) efforts.
Achieved a 100% score two years in a row on the Human Rights Campaign's Corporate Equality Index making us a best place to work for LGBTQ+ equality.
Named to Parity.org’s 2020 list of the best companies for women to advance.
Continued to prioritize the employee experience and achieved an 87% overall engagement score on our last employee survey.
Published an annual DE&I report to share our progress on how we’re building an equitable workplace.

What You’ll Be Doing:
Who You’ll Be Working With:The Data Scientist leads analytic projects and initiatives that support the delivery of Vital Decisions’ services to the right individuals at the right time, ensuring medical care that an individual receives during an advanced illness aligns with the individual’s goals and quality of life priorities over time as one progresses toward end of life. Using data sciences skill sets and advanced quantitative analytic methods, the Data Scientist provides hands on technical expertise in the creation and presenting of analytics and insights that prospectively identify client opportunities, retrospectively demonstrate accurate program performance, and continuously improve program value and impact. The leader in this position will be the first line of analytic support for sales, client services, operations, and organizational leadership, and will have primary accountability for executing and delivering clear and accurate, client-facing return on investment (ROI) and related outcomes plausibility analyses.What You’ll Be Doing:
Return on Investment (ROI)
Manage and meet all Vital Decisions obligations to provide clients with accurate, clear, and timely ROI analyses
Maintain and communicate a calendar of ROI analysis obligations, including interim steps to gather and validate data, internal reviews with key stakeholders, and all other steps required to delivering high quality and timely analyses
Maintain a library and database of all ROI and related outcomes analysis covering individual clients and the Vital Decisions’ book of business as a whole
Develop and maintain current and future ROI code and documentation in support of ROI and related analyses
Develop and maintain best practice language and visualizations that clearly articulate program value and where appropriate, provide additional insights, for communicating ROI results to clients and internal stakeholders
Run ROI analyses, draft and review outcome reports, investigate variances, provide feedback to operations and process owners, and be the subject matter expert internally and externally
Report and address any savings and ROI results that are not within expectation
ID root causes
Report findings and recommendations to ELT

Opportunity Assessment (OA)
Support sales with accurate, clear and timely opportunity assessments for prospective clients – with and the without access to prospect claims data
Maintain and use updated state cost of dying tables based on CMS/Dartmouth and VDI BoB
Maintain and use updated library of VDI case savings rates by client and LOB

Maintain a library and database of all OA analyses delivered to prospects and connected to ROI analyses for prospects that become clients covering individual clients and the Vital Decisions’ book of business as a whole
Develop and maintain OA process documentation including coding used to execute OA and related analyses
Develop and maintain best language and visualizations that clearly articulate program value potential
Run OA analyses, draft and review reports, investigate variances, provide feedback to operations and process owners, and be the subject matter expert internally and externally
Coordinate the mortality model scoring of prospective populations with Informatics or other process owners

Mortality Modeling
Provide project management and thought leadership support to mortality modeling design, development and application for monthly scoring and other operational processes’ execution efforts
Be accountable for contextualizing and communicating mortality modeling outcomes including retrospective analyses and creating death curves for specific populations to continuously evaluate mortality model performance
Identify and manage best approaches for accurate, complete, and timely identification of decedent death date data to support ROI and Mortality Modeling processesProvide Monthly validated death counts by client to CS and ELT based on all available sources (Plan, PBI with VDI validation, Claims, Program, etc.

Maintain with any needed code updates e.g., CPTs, update/retrain as needed, and extend PPV reporting with each CMS data update

End of Life Medical Cost Analysis
Lead, design, and manage research into end-of-life cost drivers, patterns of medical utilization, actionable segmentations and stratifications
Leverage EOL analysis and insights to propose improvements to program targeting methodologies as well as optimization of interventions and other program components

Support the Product and Analytics Road Map
Provide analytics input and leadership to support and drive initiatives on the Vital Decisions Product and Analytics Road Map
Provide general analytic and project management process expertise and leadership across the organization especially including requests for support from the senior leadership team
Produce Value and Impact tables and presentations to fully meet client obligations and CS needs (compliant to contract, accurate, clear, timely)
Support & drive ad hoc analytic opportunities and requests to drive business growth and improvement.Track and report on requests throughout the year

Thought leadership
Collaborate on white papers and studies suitable for publication
Share outcomes and insights at conferences and other forums
Build and sustain relationships with analytics counterparts at clients, partners and vendors
Keep abreast of industry trends, attend conferences, outside learning and facilitate proactive information sharing to peers at client level

 The Experience We Prefer:
Bachelor’s degree or above in Computer Science, Biostatistics, Mathematics, Physics, or related field. Masters or Doctorate level preferred; and/or extensive work-related experience will be considered.
2-5+ years of experience with R, SQL, and Python required.
Proven ability to create data analytics and build models using advanced techniques and tools
Solid programing skills to develop repeatable analytic and reporting processes
Proficiency working with BI and visualization tools
Strong process management, critical thinking, problem solving, and decision making
Excellent verbal, written communication, and presentation skills
Excellent time and priority management to support multiple concurrent initiatives and priorities
Proven leadership or active participation in peer communities
Experience developing content for publications for academic journals
Comfort level and ease presenting analysis, results, and insights to health plan clients including C-suite with confidence and credibility; Up to 50% of this role may be client facing
Project a positive, solutions-oriented attitude along with core company values
Technical Requirements: Currently, Evolent employees work remotely temporarily due to COVID-19. As such, we require that all employees have the following technical capability at their home: High speed internet over 10 Mbps and, specifically for all call center employees, the ability to plug in directly to the home internet router. These at-home technical requirements are subject to change with any scheduled re-opening of our office locations. Evolent Health is committed to the safety and wellbeing of all its employees, partners and patients and complies with all applicable local, state, and federal law regarding COVID health and vaccination requirements. Evolent expects all employees to also comply. We currently require all employees who may voluntarily return to our Evolent offices to be vaccinated and invite all employees regardless of vaccination status to remain working from home. Certain jobs require face-to-face interaction with our providers and patients in client facilities or homes. Employees working in such roles will be required to meet our vaccine requirements without exception or exemption.Evolent Health is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.Compensation Range: The minimum salary for this position is $100,000, plus benefits. Salaries are determined by the skill set required for the position and commensurate with experience and may vary above and below the stated amounts.


Senior Scientist I

Job SummaryThe Senior Scientist is an integral part of the machine learning team, which consists of mathematicians, data scientists, psychometricians, linguists, and software engineers. Our team focuses on natural language applications in educational measurement, with key foci in the automated scoring of student responses for both summative and interim assessments, automated feedback for formative assessments, and automated alerting of disturbing content in student responses. Our team uses state-of-the-art deep learning tools and models different modalities (e.g., speech, text) and is responsible for both prototyping and deploying engines and models. This position will either lead or support data design and analytic efforts for our suite of products, work closely with internal and external stakeholders to ensure we meet their needs, write technical reports and contribute to our growing body of research by publishing, and contribute to enhancements of existing products or to new products.Job Responsibilities
Support CAI’s innovation in natural language applications in support of our mission to improve educational outcomes for our students and educators. This includes automated scoring in large scale assessment programs (for writing, speech and other areas of educational measurement), detection of crisis alert content in student writing and the use of ML for feedback in student writing.
Support CAI’s emerging product portfolio to for products that employ state of the art machine learning methods that provide solutions to real world problems in K-12, higher education and other related domains.
Design and implement studies to obtain, score, model, and analyze results for any of CAI’s current natural language applications, including automated scoring, crisis alert detection, and feedback.
Pursue applied research to actively publish and represent CAI’s leadership in this area
Job Requirements
Ph.D. in psychometrics/measurement, NLP, or statistics or related computational field
5+ years professional experience in k-12 assessment
5+ years working with teams of software developers, NLP scientists, and data scientist
Experience in working with client-facing work, including presentations
Established publication record in NLP applications in k-12 assessment
Why Work With Us?When you work with Cambium Assessment, you’ll be helping to design and build inspiring solutions that make a real impact on the online testing industry, as well as the educators and students we support.
Our systems are highly scaled and mission critical serving over a third of all students in grades 3-8 in the United States.
Our web applications are highly interactive and universally accessible.
Our machine scoring methods are driven by artificial intelligence allowing computers to perform such complex operations as grading essays with more accuracy than humans.
Our processes use intensive algorithmic computing allowing a customized experience for each student as the exam adapts real-time based upon answers given.
In the 2021–2022 school year, we delivered more than 100 million online tests, successfully supported peak testing volumes exceeding 1.3 million simultaneous test takers,  while ensuring an average response time of less than a tenth of a second. We have the most advanced features of any online testing system, and we continue to push boundaries to improve student performance measurement and enabling educators with actionable insights to drive better overall educational outcomes for our students. To learn more about our organization and the exciting work we do, visit www.cambiumassessment.comAn Equal Opportunity EmployerWe are dedicated to fostering a culture that celebrates unique backgrounds, ideas, and experiences. All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability.


Senior Manager Data Science

About This Role
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
Responsible for working closely with management to execute analytical initiatives. Responsible for providing thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. This position will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary.
Responsibilities
Provides thought leadership & strategic thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis. Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Facilitate implementation of work product and ensure accuracy. Establishes and maintains effective performance tracking; identifies improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization.Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Lead the development of Analytical capabilities with the aim of creating long-term strategic data/analytics assets for the company.Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information. Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work. Continuously improves technical and leadership skills through training and development.
Minimum Qualifications
At a minimum, here’s what we need from you:
Bachelor’s Degree in Analytics, Engineering, Statistics or related field 6+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field
Preferred Qualifications
If we had our say, we’d also look for:
Master’s Degree in Analytics, Engineering, Mathematics, Statistics or related field 4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field
#LI-MJ1
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.


Lead Data Science Analyst Forecasting Team

About This Role
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
As a Finance Data Science Analyst on the Loss Forecasting Team, responsible for working closely with management to execute analytical initiatives. Responsible for solving business problem by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. Creates reports and dashboards to closely monitor performance metrics and provide insights. This can be a remote role, based out of Riverwoods, Il.
Responsibilities
Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization.Manages multiple priorities, communicate business performance and project progress to management & business partners.Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitates implementation of work product and ensure accuracy.Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work.Continuously improves technical and leadership skills through training and development.
Minimum Qualifications
At a minimum, here’s what we need from you:
Bachelor's degree in Analytics, Engineering, or Statistics4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related.
Preferred Qualifications
If we had our say, we’d also look for:
Master's degree in Analytics, Engineering, Mathematics or Statistics2+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related
#LI-CR1
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.


Lead Data Science Analyst

About This Role
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
Responsibilities
Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis. Collaborates with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.  Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implements tests to drive strategy enhancement and optimization. Manages multiple priorities, communicate business performance and project progress to management & business partners. Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitates implementation of work product and ensure accuracy. Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work. ·Continuously improves technical and leadership skills through training and development.
Minimum Qualifications
At a minimum, here’s what we need from you:
Bachelor's Degree in Analytics, Engineering, or Statistics 4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related.
Preferred Qualifications
If we had our say, we’d also look for:
Master's Degree in Analytics, Engineering, Mathematics or Statistics 2+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.


Data Scientist Skills Product Platform

This position is also available for employment in these areas:Remote - USA, Remote - UtahJob Description:At Pluralsight, you will be part of an established team of collaborative data scientists supporting our Skills product platform. You will work closely with multiple teams to identify and implement improvements to our Skills platform powered by data science. This role is a good fit for hands-on data scientists who enjoy experimenting with new ideas and working with cloud computing technologies. That’s you, right? Who you’re committed to being:
Critical problem solver who understands how data science can solve business problems
Interpreter who finds trends and patterns in disparate data
Independent creator of models, analyses, and visualizations
Communicator able to translate technical details into business insights
Partner to internal stakeholders who share high-value business objectives
 What you’ll own:
Applying data science to content search and discovery challenges
Cross-functional project collaboration on data science deliverables
Development and implementation of analyses and predictive models
Continuous testing and improvement of deployed solutions
Explanation of algorithms to business partners, eliminating “black box” distrust
Presentation of results to business partners and company leaders
 Experience you’ll need:
Applying statistics and data science theories and techniques
Working with popular data science languages and tools (Python, R, Jupyter Notebooks, scikit-learn, pandas, tensorflow, pytorch)
Using SQL and relational databases as well as big data platforms (Snowflake, Kafka)
Producing effective and interactive data visualizations (Tableau, Shiny, Dash)
Preferred but not required: Familiarity with cloud computing (AWS), Airflow, NLP, and recommender systems
 Working at PluralsightFounded in 2004 and trusted by Fortune 500 companies, Pluralsight is the technology skills platform organizations and individuals in 150+ countries count on to innovate faster and create progress for the world. At Pluralsight, we believe everyone should have the opportunity to create progress through technology. That everyone should have access to the skills of tomorrow. That technology can make the world a better place. Through the work we do every day, we empower the people who power our world. And we don’t let fear, egos or drama distract us from our mission. Our mission to democratize technology skills is what drives us and our values are at the helm of how we work together. It’s our commitment to practicing them day in, day out that enables our performance. We’re adults, and we treat each other that way. We have the autonomy to do our jobs, transparency to eliminate office politics and trust each other to do the right thing. We thrive in an environment with creativity around every corner, challenges that keep us on our toes, and peers who inspire us to be the best we can be. We bring different viewpoints, backgrounds and experiences, and united by our mission, we are one.  Be yourself. Pluralsight is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.#LI-SK#LI-Remote


Senior Manager Data Science And Machine Learning

Our mission: to eliminate every barrier to mental health.

Spring Health is a comprehensive mental health solution for employers and health plans. Unlike any other solution, we use clinically validated technology called Precision Mental Healthcare to pinpoint and deliver exactly what will work for each person  — whether that’s meditation, coaching, therapy, medication, and beyond.

Today, Spring Health equips over 800 companies, from start-ups to multinational Fortune 500 corporations, as a leading and preferred mental health service. Companies like General Mills, Guardian, Bain, and Instacart use the Spring Health platform to provide mental health services to thousands of their team members globally. We have raised over $300 million from prominent investors including Kinnevik, Tiger Global, Northzone, RRE Ventures, Rethink Impact, Work-Bench, William K Warren Foundation, SemperVirens, Able Partners, True Capital Ventures, and a strategic investor, Guardian Life Insurance. Thanks to their partnership, our current valuation has reached $2 billion.

Ready to do the most impactful work of your life? Learn more about what motivates us and the ways we work to see if this is the right place for you: Our Values

We are looking for an exceptional hands-on data science leader to drive the analytics vision and roadmap for our Caregiver Experience team. This cross functional product team is focussed on building out tools and workflows to support the entire Spring Health Care team in the delivery and coordination of world class virtual and in-person mental health care. This is an exciting opportunity to design and implement innovative data products that will ensure a high quality caregiver and member experience as well as contribute to and move the science and practice of mental health forward.

What you'll be doing

Conceptualize, design and execute an ambitious data science roadmap for our caregiver experience team in partnership with product, engineering and care team leads.
You will lead, mentor and manage a team of data scientists in building out product analytics across our caregiver experience team, helping shape goals, metrics, experimentation and dashboards
Coach and mentor data scientists on the team to ensure their continued growth
Define the key success metrics that provider insight into the health of our caregiver experience and quality and uncover opportunities to improve these metrics
Lead the team in designing A/B tests and defining product telemetry to inform development and prioritization of new product feature releases.
Steer the team to create predictive and ML models to enhance our caregiver experience and network quality, including a personalized patient provider matching system and models that can measure and incentivize provider quality and outcomes
Perform analytical deep-dives to proactively identify product opportunities and inform experimentations and product roadmaps.

What we expect from you

You are passionate about changing the face of mental health care and Spring Health’s mission to remove all barriers to mental health resonates with you
7+ years of professional experience in a data science role, and at least 3+ years in a leadership or management capacity.
You have experience in a broad spectrum of data science techniques (machine learning, causal inference, A/B test experimentation frameworks, NLP etc) and are excited to apply them to solve complex clinical or business problems
Experience using, building and enabling analytics infrastructure (ie data, analytics and ML pipelines)
Strong presentation and stakeholder management skills — fluently tell a compelling clinical or business story with dataProficiency with SQL and a statistical analysis language (R/Python)
Ability to work in a fast-paced, mission-driven environment
Proximity to NYC or willingness to travel once a quarter to NYC

What we'd love to see (Bonus):

Experience in defining product logging/telemetry and collaborating with engineering team on refining requirements and QA
Significant experience extracting insights from large data sets (structured and unstructured)
Experience with data modeling for reporting and analysis using tools such as dbt or similar
Experience collaborating with user research teams
Previous experience working in a fast-paced environment

Don’t meet every requirement? Studies have shown that women, communities of color and historically underrepresented talent are less likely to apply to jobs unless they meet every single qualification. At Spring Health we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we strongly encourage you to apply. You may be just the right candidate for this or other roles!

Benefits of working at Spring Health:

Focus on total health including:
Generous medical, dental, vision coverage available day 1 + access to One Medical
12 yearly no-cost visits to the Spring Health network of therapists and medication management providers for you and your dependents
Unlimited paid time off in addition to 12 paid holidays throughout the year
4-4.5 months of fully paid parental leave
$500 per year Wellness Reimbursement

Supporting you financially through:
Our People team benchmarks all salaries to ensure all team members are paid competitively. On top of a competitive salary, Spring Health offers stock options that begin vesting one year into your role at the company
Employer sponsored 401(k) match of up to 2% after 90 days of employment

Creating a culture you can thrive in:
Flexible work arrangements: 60% of Spring Health team members work fully remote while 40% work in a hybrid model from our New York City offices
Calm Fridays: no meetings, no distractions, just time for you to get work done.
$200 per year donation matching to support your favorite causes
Our team members have created five employee resource groups thus far and looking to add on more

In addition to finding people who are truly excellent at what they do, we take our values at Spring Health seriously:

Members Come First We are genuine member advocates.

Move Fast to Change Lives We build with urgency and intention.

Take Ownership We extend trust and hold ourselves accountable.

Embrace Diverse Teams & Perspectives We find strength in the diversity of cultural backgrounds, ideas, and experiences.

Science Will Win We will achieve impact by innovation and evidence based frameworks.

Candor with Care We are open, honest and empathetic.

Ready to do the most impactful work of your life? Learn more about what motivates us and the ways we work to see if this is the right place for you: Our Values

Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

#LI-remote


Senior Data Scientist

Mission Lane’s Data Science Team is looking for a Senior Data Scientist to join us.
You’ll be a successful Senior Data Scientist if:

You’re personally motivated to help improve the financial health of the 100 million working-class Americans who live paycheck-to-paycheck
You’ve created, deployed, and managed supervised learning models in production systems for vital applications
You enjoy being a technical mentor. You share best practices for software engineering and can help smart, educated, people with hard mathematical problems.
You consider yourself a generalist data scientist and are more motivated by practical solutions than theoretical elegance
You practice solid fundamentals with software engineering (test-driven development, code review, refactoring) and the PyData stack (numpy, scikit-learn, pandas, etc.)
You can communicate, collaborate, compromise, and be sensitive to the needs of clients and your teammates

We are offering:

A low-ego, respectful, data science team committed to solving practical problems together
The chance to work at a company where data science is at the heart of the business and integral to both our day-to-day operation and our executive team’s strategic vision
Flexible work hours and flexible work location (even after the pandemic)
A generous parental leave policy
Excellent opportunities for career growth, with both management and technical tracks for advancement
A team that values learning and approaches work with a “growth mindset”
A competitive salary, equity, and a full benefits package (health, dental, vision, 401k)

You might be particularly excited about the role if you want:

To work on fairness, accountability, and transparency in machine learning (FAccT ML) or explainable AI (XAI)
To find practical ways to apply modern innovations from diverse research areas like Causal Inference, Cost-Sensitive Machine Learning, and Time Series Classification
To use distributed computing systems like Spark and Snowflake to manipulate data

If you’re excited about the role and aren’t sure if you meet all the requirements - we want you to apply anyway! We believe people can contribute to our team in a wide variety of ways and want to meet people who find meaning in our mission and our technical work compelling.

Job Location: Remote or Richmond, Virginia


Data Scientist Brand Protection

DESCRIPTION
Job summaryAre you interested in helping Amazon ensure that customers make great purchase decisions and that the world's most recognized Brands using Amazon are successfully listing and selling their products? The Brand Protection team designs and builds high performance software systems using machine learning that identify and prevent abuse on behalf of brand owners worldwide. We are looking for a Data Scientist to join the Amazon Brand Protection team to help us to continue to scale Worldwide.As a Data Scientist in the team, you will be driving the analytics roadmap and will provide descriptive and predictive solutions to the business team through a combination of data mining techniques as well as use statistical and machine learning techniques for segmentation and prediction. You will need to collaborate effectively with internal stakeholders, cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards.The ideal candidate is an experienced and motivated Data Scientist (DS) with outstanding leadership skills, proven ability to build and manage Large-scale modeling projects, identify data requirements, and build methodology and tools that are statistically grounded. The candidate will be an expert in the areas of data science, machine learning and statistics, and is comfortable facilitating ideation and working from concept through to execution. The successful Data Scientist will have the extreme bias for action needed in a startup environment.To succeed in this role you should be passionate about working with large datasets and be someone who loves to bring data together to answer key business questions. You should have deep expertise in the creation and management of datasets and the proven ability to translate the data into meaningful insights. You should have a solid understanding of efficient and scalable data mining and an ability to use the data in financial and statistical modeling.Key job responsibilities• You will extract huge volumes of data from various sources and construct complex analyses.• You should be detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion• You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions. You own customer relationship about data and execute tasks that are manifestations of such ownership, like ensuring high data availability, low latency, documenting data details and transformations and handling user notifications and training• You will work with distributed machine learning and statistical algorithms upon a large Hadoop cluster to harness enormous volumes at scale to serve our customers
BASIC QUALIFICATIONS
5+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)4+ years working as a Data Scientist
• Masters with two years of relevant experience or a Bachelor’s degree in Statistics, Mathematics, Operations Research, Economics, Computer Science, Engineering or a related quantitative field with five years of working experience as a Data Scientist• Experience with statistical analysis, research science, machine learning and deep learning techniques, data modeling, regression modeling, financial analysis, and demand modeling• Excellent written and verbal communication skills. Strong ability to interact, communicate, present, and influence within multiple levels of the organization.• Experience in Statistical Software such as R, Weka, SAS, SPSS• Able to write SQL scripts for analysis and reporting (Redshift, SQL, MySQL)• Experience using one or more Python, R, Java, C++ VBA, MATLAB, programming languages• Proficiency with TABLEAU/R Shiny/Dash or other web-based interfaces to create graphic-rich customizable plots, charts data maps etc.
PREFERRED QUALIFICATIONS
• Previous experience in a ML or data scientist role with a large technology company• Experience in an operational environment developing, fast-prototyping, piloting and launching analytic products• Experience in writing academic-styled papers for presenting both the methodologies used and results for data science projects.• Experience with AWS services (Redshift, S3, EC2, Lambda, SNS/SQS, RDS, Aurora) preferred.• Ability to distill informal customer requirements into problem definitions, quantify improvement in customer experience or value for the business resulting from research outcomes, dealing with ambiguity and competing objectives.• Demonstrated industry leadership in the fields of Database and/or Data Warehousing, Data Sciences and Big Data processing.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.