Senior Data Scientist

Company Description
When you join Renaissance®, you join a global leader in pre-K–12 education technology.
Renaissance’s solutions help educators analyze, customize, and plan personalized learning paths for students, allowing time for what matters—creating energizing learning experiences in the classroom. Our fiercely passionate employees and educational partners have helped drive phenomenal student growth, with Renaissance solutions being used in over one-third of US schools and in more than 100 countries worldwide.
Every day, we are connected to our mission by exemplifying our values: trust each other, win together, strive for the best, own our actions, and grow and evolve.
Job Description
Our learning science team empowers school systems across the country to take data driven actions to accelerate student learning.  As a member of this team, you will explore practice and assessment data to develop new insights into student learning.   You'll collaborate with product managers, designers, and your teammates to take ideas from concept to reality, utilizing your full range of technical skills and a healthy dose of user empathy
In this role, you will:
Work with data scientists, data architects, and functional experts on a variety of analytics use cases involving descriptive, predictive, and prescriptive analytics Drive the creation of analytical models, reports, and visualization dashboards leveraging a wide array of data from traditional and non-traditional sources Clean and utilize data from a variety of sources including SQL, NoSQL, and Cloud (AWS) platforms Manipulate high-volume, high-dimensional data from varying sources to highlight patterns, anomalies, relationships, and trends
Partner with Product Management and Content Development teams to solve problems and identify trends and opportunities Develop models and applications which leverage existing deep learning frameworks in areas including natural language processing, computer vision, speech-to-text, and other audio signal processing methodologies Supervise and mentor junior data scientists
Qualifications
For this role, you must have:
An undergraduate degree in a quantitative field (Computer Science, Statistics, Applied Mathematics, etc.)  5-7 years of experience in predictive modeling and analytics. A postgraduate degree focused on data science or learning analytics will replace an equal amount of work history  Extensive experience developing with standard machine learning (regression, clustering, classification) and deep learning (NLP) algorithms and packages in Python and deploying with a dev-ops team Experience working with SQL and NoSQL (Hive, MongoDB, and GSQL) databases Strong problem solving and communication skills
Bonus points for:
Experience in the educational technology industry or utilizing educational data Experience developing and deploying apps in the cloud (AWS)
Additional Information
All your information will be kept confidential according to EEO guidelines.
Salary Range: $106,300-$159400 This range is based on national market data and may vary by experience and location.
Benefits:
 Medical, dental, vision including Health Savings Accounts401(K)Tuition & Professional Development ReimbursementParental Leave – 20 weeks total, 14 weeks paidVacation Time Off13 Holidays and 2 Volunteer DaysCommuter benefitsWellness Incentives
Renaissance is committed to maintaining a safe and healthful environment for our employees and customers.  To uphold this commitment, Renaissance requires all employees to receive a full COVID-19 vaccination as a condition of employment, unless an individual has been granted an exemption as an accommodation due to a disability or for religious reasons.
Frequently cited statistics show that some women, minorities, individuals with disabilities, and protected veterans, may only apply to roles if they meet 100% of the qualifications. At Renaissance, we encourage all applications! Roles evolve over time, especially with innovation, and you may be just the person we need into the future. We hope you're open to learning new skills to grow with us. Make our team, your team!
Renaissance is an equal opportunity employer and does not discriminate with respect to any term, condition or privilege of employment based on race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, military or veteran status, marital status, or status of an individual in any group or class protected by applicable federal, state, or local law.
At Renaissance our mission is: “To accelerate learning for all children and adults of all ability levels and ethnic and social backgrounds, worldwide.” Inherent in that guiding principle is dedication to serving all identities by recognizing the importance of Diversity, Equity, and Inclusion (DEI) in our organization, our work and our products.
Renaissance also provides reasonable accommodations for qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local laws. If an accommodation is needed to participate in the job application or interview process, please contact Talent Acquisition.
#LI-HO1
#LI-Remote


Data Scientist Simulation

We are looking for a Data Scientist who has experience with large-scale simulation analysis and sensitivity analysis, and has the context and insight into how the decentralized finance industry works. We want someone who strongly believes that blockchains, smart contracts and Web3 are the future.

Your Impact

Research and summarize the best practices of decentralized finance, application protocol design and community development
Actively lead and conceptualize different approaches to token economic design, incentive mechanisms, and protocol structure by understanding the latest developments
Build effective databases, network modeling, simulation systems, and synthesizing insights / learnings into comprehensive research reports for delivery to the executive team
Design, develop, and maintain internal systems, databases, and feedback loops to perform routine and repeatable Byzantine and agent-based simulations to directly inform design of protocol’s evolving monetary policy system
Translate output from simulation exercises into action, informing financial forecasts, planning, and budgeting

Requirements

Masters and/or PhD in Statistics, Economics or Econometrics
Solid understanding of current state of crypto-economics, and blockchain technologies generally
Technically-fluent data scientist with a mature interest in decentralized applications and smart contracts
Deep interest and passion about the future of blockchain technology, web3, and low-level protocol development
Experience working in start-ups and/or hyper-growth companies
Ability to explain complex concepts in simple terms to a non-technical audience
Experience working with a team located across multiple time zones

Desired Qualifications

Excitement for blockchain, Web 3.0, and similar decentralized technologies.
Experience with GitHub Actions and self-hosted runners in particular.
Experience working remotely in a distributed team.
A strong desire to grow and challenge yourself. While this role is mainly focused on maintenance, we would expect you to constantly find ways to improve and automate services under your purview.

Our Stack
BigQuery, Postgres, Airflow

#LI-RF1

Our Principles

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

About Chainlink Labs

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

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

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

Chainlink Labs is an Equal Opportunity Employer.

#LI-Remote


Data Scientist

About This Role

Hello prospective pickle! Design Pickle is looking for an experienced Data Scientist to join our team and help us develop new ways to inspire our customers and streamline processes for our global network of creatives.

The ideal candidate will be able to create efficient, flexible, extensible, and scalable data models, ETL designs and data integration services. They will also be required to support and manage growth of these data solutions. Given our aspirational vision, to be the most helpful creative platform in the world, and the nature of our products, this role requires entrepreneurial drive and thinking, comfort with ambiguity, and ability to break down and solve complex problems.

If you have ever wanted to make a significant contribution and help shape the trajectory of a startup, this role is for you!

Reports to: Director of Data Science

On a daily basis, works closely with: Engineering, Product Management, Product Marketing and Global Operations.

Location: Design Pickle is a fully remote company with a Company Hub in Scottsdale, Arizona.

Who We Are Looking For

First, Design Pickle is anything but typical. We’re a group of hard-working, creativity-loving individuals from around the world.

Do we love pickles, too? Most of us! But don’t stress if pickles aren’t your thing. It’s not a deal-breaker. We do look for a passion and interest in something though because our employees’ uniqueness is what helped make us the great company we are today.

We stand by our vision, purpose, and values, and these are mission-critical to how you show up every single day.

Specific to your role, we’re looking for individuals who have...
Proficiency in one of the following languages: Python, Java, R, C/C++Proven track record in MLOPS, including designing and implementing machine learning and deep learning algorithms, ideally using tools and libraries such as pytroch, tensorflow, PySpark.Experience in natural language processing or computer vision using deep learning models is a plus.Excellent  communication skills.Proficient with SQL database.Hands-on experience with a large scale NoSQL (i.e. MongoDB, Neo4j, AWS S3, etc.) storage solution is a plus.Proficient in Computer Science fundamentals such as data structures, algorithm design, and complexity analysis.Experience with both batch and streaming analytics architectures.Experience with big data analytics tools such as Hadoop and/or Spark is a plus.Detail oriented and strong interpersonal skills.MS in Computer Science, Artificial Intelligence, Machine Learning, Data Science or related field. Or 3+ years of equivalent experience.
Bonus Pickle Points:
BA/BS in Computer Science or related field or equivalent experienceExperience working with AWS services - S3, Redshift, MLExperience working with and building reports using tools like PowerBI, TableauExperience working autonomously in global teams.Experience influencing critical decisions with data.

Key Objectives and Responsibilities

As a fast-growing company, our roles are always evolving. However, we want you to know exactly what you’re walking into. Here is a preview of what’s expected:
Conduct cutting-edge research and development of novel machine and deep learning models that promote and advance Design Pickle business objectives.Apply your expertise in advanced analytics, data mining, and presentation of data to facilitate senior leadership decision-making to produce better products and customer experience.Build and maintain high quality Business Intelligence (BI) tools that provide  reports, dashboards and metrics to better inform current and future business trends.Apply MLOPS framework to manage development of data resources, gather requirements, organize sources, and support launches while keeping the team focused on engineering and operational excellence.Partner with Senior Leadership, Product, Engineering, and Global Operations teams to solve problems and identify opportunities and areas of improvement.
Benefits, Compensation, and Perks
Uncapped PTO: Hate seeing your PTO hours decrease as the year goes on? Not anymore! There is no cap or number associated with the amount of PTO days you can request.
Major medical healthcare: We offer major medical plans through United Healthcare which is managed seamlessly through EmployeeNavigator.
Dental and vision insurance: We work with Beam Dental and VSP for ancillary coverage.
Remote-work flexibility: More productive at home? Not based in Scottsdale, AZ? Fine with us! We are a remote-first company with people all over the country.
World-class Company Hub: More productive in an office? Also, fine with us! Our Company Hub is set up with state-of-the-art standing desks, high-definition monitors, breakout rooms for meetings and calls, a podcast studio, a relaxation room, a merch wall, and a cold plunge! ….yes, we said a cold plunge.
In-office gym: Our Company Hub also has a small CrossFit-style gym available for any pickles to use!
New parent leave: Design Pickle encourages all primary caregivers to take up to 8 weeks leave for a new family member, including adoption, at full salary.
Paid training and personal development: We offer a yearly stipend for employees to continue to grow their skillset and learn things to help them in their careers.
Stock option potential: We give our tenured staff a stake in what we’re building here.
Life-changing massage chair: We change lives through creativity...and massages. Our team has traveled far and wide to take advantage of a life-changing massage chair that is housed in our Company Hub. One massage is all it will take to radically transform your life.
Pet insurance: Have a furry friend? Design Pickle offers pet insurance through United Pet Care for discounted vet visits, medication, and procedures.
Team retreats, social events, and adventures: Pickle collaboration is important to us! We host regular social events, get-togethers, and experiences for our staff.
About Design Pickle
Design Pickle was founded in 2015 with a vision to change lives through its creative Software, solutions, and services. Since then, the company has grown to be the #1 flat-rate creative services company in the world. We have served tens of thousands of clients with a team that spans the globe.
In 2019 & 2020, Inc. 5000 listed Design Pickle as one of the fastest-growing companies in America.
We are a company that takes our core values to heart:
Be the SPARK
Let your fire and passion inspire someone else’s day.
DRIVE Performance
Seek out new ways to improve performance, satisfaction, and impact for our customers. Less is more rules supreme.
Give it to me STRAIGHT
Lead with radical and professional candor in every situation. Graciously accept when others do the same. Move forward together and aligned.
HELP when nobody's watching
Find opportunities to support each other and our clients beyond the day-to-day.
Lean into HARD
We thoughtfully select our challenges and tenaciously commit to conquering them.
Make your own PICKLES
We are a collection of incredible individuals who challenge ourselves and each other to grow. Change is celebrated as a sign of progress.
You can learn more about our company, our vision, and what we stand for on our website and social channels. We can’t wait to meet you—thank you in advance for your application!
Notice to Staffing and Recruiting Agencies
Design Pickle will not accept resumes from any source other than the candidate. Any unsolicited resume sent to Design Pickle will be considered Design Pickle sourced.
PM21


Data Scientist

Why Join Us
User Interviews is a fully remote team (even in the before times). We are proactive about staying connected to one another despite not sharing the same physical space. Remote culture is real and we care about it—a lot.
We’re a team of doers. You’ll be fully supported by your manager and team, but there won’t be anyone peering over your shoulder. You’ll be expected and trusted to take ownership of your work, and to communicate clearly and transparently with your distributed teammates.
On a related note, we’re very pro-feedback. From our users, of course. But also from each other. From individual contributors right up to the CEO, this is a team that is genuinely committed to continuous improvement.

About User Interviews
At User Interviews, we believe that the best companies in the world consistently deliver products and experiences that their customers love. We also believe that the only way to consistently build those products and experiences is to talk to your customers. Watch what they do. Understand why they do what they do. Figure out why they do things that seem irrational. And once you’ve done that once, do it again. Start having constant conversations. In short, make customers your #1 priority through user research.
That’s why we exist. We help teams set up those conversations, allowing them to discover and embrace user insights. We currently do that by making it fast and easy to talk to customers, or potential customers, to help with product, design, or marketing decisions. We work with hundreds of companies every month, including user-centric organizations like Atlassian, Amazon, and Spotify.

Analytics at User Interviews
The mission of the Analytics team at User Interviews is to own all of the company’s data and to analyze it in ways that help us make better decisions. We work with every team at the company across many diverse data sets.
About the Role
As a Data Scientist, you’ll be embedded with a Product team and involved throughout projects, from planning to building, to assessing.The team will look to you to explain current behavior and be a leading voice in where we should go next.
Responsibilities

Use analytical skills to create and test hypotheses, and visualization/presentation skills to communicate results to the rest of the team.
Collaborate with Product Managers, Engineers, Designers, and other teammates to ensure we have the data we need, formulate analysis plans, and complete high-impact reports.
Work with large data sets across multiple problem areas. This includes vetting new datasets as they come in, and developing deep intuition about how all of our data fits together.
Focus on automating reporting tools and dashboards so that we can spend more time on the most complex problems.

Some sample projects that the Data Science team has helped with:

How can we improve customer retention?
What should the Product team build next? Once it’s built, how does it perform?
What predicts how well we fulfill our customers’ needs?

Qualifications
Minimum:

Proficiency in SQL, and either R or Python
Knowledge of statistics and other data analysis methods
Experience working with large, complex datasets
Ability to verify, analyze, and present data in ways that other stakeholders can internalize

Preferred:

Bachelor’s or Master’s in a quantitative field (e.g. Statistics, Mathematics, or Economics); professional experience in data science can be a replacement
Experience working with Engineers to build good data infrastructure

Benefits
- $95k - $100k base + $5k bonus + benefits
- Stock options for every employee
- 100% premium covered medical & dental employee coverage
- Annual membership to One Medical Group & Talkspace
- 401k + employer contribution
- 4 weeks of PTO to start + accrue an additional day each year
- Unlimited wellness days. Sick? Doctor’s appointment? Mental health day? We’ve got you covered.
- Flexible, paid parental leave
- $250 office setup budget
- $500 annual learning & development stipend
- $50/month Work From Home stipend
- Awards for 360-degree recognition, work anniversaries, & birthdays
- 1-2 team retreats per year (virtual and in-person options)

We embrace what makes you, you!
We are committed to accessibility, equity, diversity, and inclusion. We build products for and welcome participants, researchers, and employees from a diverse set of backgrounds. These backgrounds include—but are not limited to—varied socioeconomic status, gender identity or expression, sexual orientation, religion, race, ethnicity, age, neurodivergence, disability, and citizenship.
As we grow, we are aware that this work is continuous. We will not settle for how things are, but rather strive for how they could be.


Data Scientist Analytics

About Us
Launched in 2011, Twitch is a global community that comes together each day to create multiplayer entertainment: unique, live, unpredictable experiences created by the interactions of millions. We bring the joy of co-op to everything, from casual gaming to world-class esports to anime marathons, music, and art streams. Twitch also hosts TwitchCon, where we bring everyone together to celebrate, learn, and grow their personal interests and passions. We’re always live at Twitch. Stay up to date on all things Twitch on LinkedIn, Twitter and on our Blog.
About the Role
Data is central to Twitch's decision-making process, and data scientists are a critical component to evangelize data-driven decision making in all of our operations. As a data scientist at Twitch, you will be on the ground floor with your team, shaping the way performance is measured, defining what questions should be asked, and scaling analytics methods and tools to support our growing business, leading the way for high quality, high velocity decisions for your team.
The Creator Data Science & Analytics team is looking for a Data Scientist to support Twitch's Music Team. You will join the team that is shaping the future of Music by bringing the best of Twitch – live video, interaction, community and monetization – to artists of all sizes. Reporting to the Data Science Manager for the Creator Analytics Team, you will be defining & tracking KPIs, providing insights to guide strategies and implementing data solutions to help reshape the growth and monetization of our music creators. Our ideal candidate is a "full-stack" data powerhouse who uses data to guide decision making to ensure the best experiences for our creators and their communities.
This position can be located in San Francisco, CA, or remotely across the US.
You Will:
Inform strategies and prioritization through insights derived from in-depth data analysis, work with stakeholders to inform decisions
Leverage statistical and analytic models to uncover insights and segmentations that drive the business forward
Implement core metrics for Music team, develop automated dashboards and other self-service tools for reporting & surfacing insights to stakeholders
Develop scalable data pipelines to support analytics needs
Evaluate impact of go-to-market initiatives on creators, viewers, and the entire Twitch ecosystem
You Have:
Bachelor's degree in a mathematic, scientific or information technology field of study
5+ years of experience as a data scientist or data analyst in a high-velocity environment
Expert fluency in SQL-based data manipulation
In-depth experience using scripting languages such as R or Python for data analysis
Proven experience deriving insights from data and presenting to business stakeholders
Experience building aggregates and optimizing data workstreams
High level of comfort creating dashboards in Tableau or comparable software
Impact-oriented, customer-centric approach to data analysis
Bonus Points
Experience with strategy consulting, LTV models, and health score models
Experience working with music/entertainment industry
Passion about online communities, games, and Twitch
Perks
Medical, Dental, Vision & Disability Insurance
401(k)
Maternity & Parental Leave
Flexible PTO
Commuter Benefits
Amazon Employee Discount
Monthly Contribution & Discounts for Wellness Related Activities & Programs (e.g., gym memberships, off-site massages, etc.)
Breakfast, Lunch & Dinner Served Daily
Free Snacks & Beverages
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.
We are an equal opportunity employer and value diversity at Twitch. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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.
The pay range for this position in Colorado and Connecticut is $144,000  - $176,000 yr; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act and CT House Bill Number 6380. Base pay information is based on market location. Applicants should apply via Twitch's internal or external careers site.
Job ID: TW6899


Data Scientist

About AbleTo
Join our mission-driven organization, where your work matters and a diversity of ideas and backgrounds are welcomed. AbleTo is the leading provider of high quality, technology-enabled behavioral health care. We believe that everyone deserves access to high-quality care and offer a suite of technology-enabled services to empower people to lead better lives through better mental health. A proprietary platform connects individuals with AbleTo highly trained licensed providers who deliver weekly sessions by phone or video supported by an integrated digital experience. Members also have access to mental health coaches, and digital support programs. Our outcomes-focused approach is proven to improve both behavioral and physical health and lower medical costs.

Overview
The Data Science team develops and deploys models to 1) target appropriate members who would benefit from our behavioral health programs using claims data, 2) optimize provider network and call center workflows using operational data, and 3) create data products that support business stakeholders. We are a team of multidisciplinary scholars making a meaningful impact on members' quality of life. We leverage cutting-edge technologies in feature engineering, machine learning, operations research, and MLOps. We have been playing a crucial role in the company's rapid growth, and will continue to support internal and external stakeholders to provide high quality, technology-enabled behavioral health care.

What You'll Do:
As a Data Scientist at AbleTo, you will work in a uniquely cross-functional capacity, helping teams across the organization apply analytical rigor to their decision-making:

Build, maintain and improve targeting models and production pipelines; design and implement model features using medical and pharmacy claims data, engagement data, and other data sources.
Build and maintain dashboards and other reporting tools to monitor targeting models, acquisition funnels and other business metrics relevant to managing core data science products.
Collaborate with teams across the business to design and build data-driven solutions that improve member outcomes and add value to the company.
Support decision-making around the management of our provider network, from providing analytical insights to building predictive and prescriptive models.

Who You Are:

Advanced degree (MSc or PhD) from a highly quantitative discipline, such as statistics, physics, computer science, electrical engineering, operations research, etc.
High proficiency in Python, Linux and cloud computing.
Highly skilled in data processing and analytics with SQL, Pandas (Python), PySpark
High proficiency in machine learning using xgboost, scikit-learn, SparkML libraries.
Hands-on experience in handling large-scale datasets, thoughtful feature engineering, and predictive modeling.
Solid knowledge of statistics. Previous experience in applying statistical concepts in business / policy / research settings.
Experience with coding best practices.
Experience with healthcare data, psychology, or operations research is a plus.
Good communication and presentation skills.
Experienced in collaborative data science projects with other engineers and scientists is a plus.
Thrives in a team environment, and focuses on the success of the team and company.
Both technically and strategically savvy. Strives to work smarter, not harder.
Passionate about the advancement of technology and how it can improve our workflow.

Why You Should Join Our Team:
We’re proud to be a Great Place to Work-Certified™ company. We want you to show up and feel your best at work, and that means respecting your time outside of work. Our inclusive, flexible workspace prioritizes a work/life balance. We offer competitive salaries, comprehensive health benefits (for full-time employees), and professional perks such as 401K matching, fully funded HRA, and generous time off, including mental health days because your well-being is important to us.
At AbleTo, we’re empowering people to get better and stay better. Want to join us? Take the next step in your career by applying for this role today.

#LI-Remote


Senior Solution Data Scientist Life Sciences

Headquartered in New York City, Dataiku was founded in Paris in 2013 and achieved unicorn status in 2019. Now, more than 1000 employees work across the globe in our offices and remotely. Backed by a renowned set of investors and partners including CapitalG, Tiger Global, and ICONIQ Growth, we’ve set out to build the future of AI.

Dataiku’s mission is big: to enable all people throughout companies around the world to use data by removing friction surrounding data access, cleaning, modeling, deployment, and more. One of the most unique characteristics of our product, Data Science Studio (DSS), is the breadth of its scope and the fact that it caters both to technical and non-technical users.

Through DSS, we aim to empower people through data,  democratize data science, and to make our everyday AI ambition a reality.

To accelerate our everyday AI mission, Dataiku’s Business Solutions team is in charge of creating a full range of solutions aiming at easing delivery of key use-cases by our customers.

Dataiku is looking for a Senior Solution Data Scientist specialized in Life Sciences (incl. Pharmaceutical and biotech companies, healthcare payers and providers, and more) to join Dataiku’s Business Solutions team. In this role, the Senior Solution Data Scientist will focus on creating and supporting go-to-market solutions dedicated to Life Science players.  Through interactions and detailed work with Dataiku partner community and customers, the Senior Solution Data Scientist will play a key role in identifying industry specific needs, scope use-cases, and build “ready-to-use” solutions. This mission will be run in tight partnership with the Solutions Director for Life Science, the rest of the Business Solutions team, and all other Dataiku teams, including Data Fab, Sales, Customer, Partnerships, Product and R&D.

What you’ll do:

Work tightly with the Solution Director for Life Sciences on building a strong Solutions roadmap dedicated to Life Sciences. This roadmap will be fuelled by a variety of signals, including market evolutions, customer experiences, partner initiatives, specialized data and ISV players, .…As part of this role, the Senior Solution Data Scientist will have to develop strong relationships with a range of trusted customers and partners, ensuring constant support on roadmap construction and delivery.
Own the building and delivery of a range of resulting projects, from ideation to full delivery. The Senior Solution Data Scientist owns the delivery of pre-built use-cases (flow, visualization, packaging), creation of replicable and composable assets (plugins, integrations, …), documentation, testing, … The Senior Solution Data Scientists will also own the building and delivery of future evolution roadmap for each solution.
Tightly work with other Data Scientists owning projects related to the Life Science space. Provide steering, expertise, technical oversight and more. Act as a go-to-person on Life Sciences specific subjects for the Dataiku Data Science community and Sales Engineering teams.
Be a key stakeholder in the initial roll-out of resulting Solutions in the market: customer demos, customer implementations, partner training, marketing, enablement of all other Dataiku team members (ie. Data Fab, Sales Engineering, …).
Be an active member of Dataiku’s Solutions Engineering group: support building of our overall engineering roadmap, contribute to capitalization and technical research for the team, own key transversal projects, and more.

Who you are:

5+ year total experience minimum, with deep hands-on experience and appetite for Life Sciences analytics and data science projects, with strong understanding of integration in business processes (commercial activities, patient testing, patient care, drug research and testing, health care systems….)
Proven track record of scoping and managing data-science projects in an autonomous manner.
Ability to work in a global, distributed team. Strong communication skills, with capacity to adapt level of technicity and speech to a wide range of audience.
Appetite for client facing engagement and proven capacity to deliver top quality documentation and marketing content (blog posts, step-by-step flows, …)
Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public.
Strong appetite for data science use-case packaging and willing to develop an engineering mindset: keen to turn outcomes into easy to understand visualizations, explore integrations with other tools, build reusable building blocks, mindful of production constraints,...
2+ years of experience with R or Python
2+ years of hands on experience with data ETL, cleaning, and machine learning algorithms
Knowledge of NLP, deep learning, reinforcement learning, knowledge graph, and causal inference methodologies
Experience with life sciences data model concepts and standards including OMOP, FHIR, and FAIR will be a plus
Experience developing WebApps (Javascript,Dash or RShiny..)
Curious, eager to learn and explore, extremely structured and autonomous.
Based in Paris or London, other Dataiku offices or remote

About Dataiku:

Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. By making the use of data and AI an everyday behavior, Dataiku unlocks the creativity within individual employees to power collective success at companies of all sizes and across all industries. Don’t get us wrong: we are a tech company building software. Our culture is even pretty geeky! But our driving force is and will always remain people, starting with ours. We consider our employees to be our most precious asset, and we are committed to ensuring that each of them gets the most rewarding, enjoyable, and memorable work experience with us. Fly over to Instagram to learn more about our #dataikulife.

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com


Data Scientist

Everything happens somewhere - which is why spatial analytics is fundamental to companies trying to understand the “where” and the “why” of their business. CARTO is the leading cloud-native location intelligence platform, trusted by data scientists, data analysts and developers from companies such as Vodafone, IKEA, Decathlon, Coca-Cola and Mastercard to provide geospatial insights for use cases such as site selection, geomarketing, route optimization, network planning and much more.

With an exceptionally diverse team of 150 people spread across the US and Europe, CARTO (backed by Insight Partners, Accel Partners, Salesforce Ventures, Earlybird Ventures, and Kibo Ventures, among others) is changing the way companies analyze location data - making it simple to do this straight out of modern, cloud data warehouses. Redefining its category, the company has grown rapidly in recent years providing a compelling alternative to legacy GIS software.

We are looking for an enthusiastic, experienced and self-motivated Data Scientist to work at the intersection of data science and GIS. In this role, you will be working in the Data Science team to develop new algorithms and derivative datasets that leverage the spatial nature of data to produce more accurate insights and predictions via CARTO’s Location Intelligence platform. You will also work with external clients to help solve their spatial data science problems and to bring new functionality to CARTO as a platform. There will be a strong focus on adapting existing machine learning methods to best work with spatial data and exploring new methods from the fields of spatial econometrics and machine learning.

The position is remote, preferably Central European Time zone. It’s also possible to work from our offices in Madrid or Seville.

You will

Build data science models, developing creative solutions to solve our customers' more complex business problems (statistical and machine learning predictive models, with a focus on spatial models, multivariate analysis, hypothesis testing, probability theory and its applications, etc.).
Design and run novel data science experiments leveraging CARTO’s Data Observatory and the capabilities of the most advanced technologies to further develop our Analytics Toolbox.
Participate in all phases of the Data Science product lifecycle (exploratory data analysis, model development, model productionizing, rollout, and evaluation).
Lead research activities for new Spatial Data Science methods that drive activity on our platform, scale our business, and enhance the user experience.
Collaborate with engineering and product leaders, to frame and tackle a problem, both technically and within a business context.
Communicate rationale and findings from analyses to facilitate operational decisions for our clients. Present your work both to internal decision makers, and at conferences, meetups and leading workshops around spatial data science.
Keep up to date on new developments from industry and academia and presenting and educating the wider company at CARTO.

You Offer

Ability to work with clients and other stakeholders to translate business problems into Data Science workflows.
Education in relevant fields and +3 years of experience working in Data Science.
Strong statistical background and experience applying data science techniques in production.
Strong foundation in coding skills relevant to Data Science; especially in Python and SQL. Spark will be a plus.
Experience working with geospatial data.
Experience working with Google Cloud, Snowflake, AWS and/or Azure ecosystems, and platforms like Google BigQuery, Databricks, AWS Redshift, etc.
Experience developing production-quality data products using the results of quantitative research.
Must be able to communicate effectively with (non-technical) senior executives internally and externally. Presentation skills are essential.
Fluency in English.

Bonus Points For

Experience with working with GIS software: CARTO, QGIS, ArcGIS, etc.
Experience working with clients in a professional services capacity.

We Offer

A big vision: to help the world use location-based data to make better decisions. We believe that openness and sustainability are baked into this vision, and we’re sharing it with the world.
Contribute to a platform used by top companies around the world. Your work will have a direct impact on our users and clients.
Competitive, results-based compensation.
Access to our employee stock options plan.
Private medical insurance.
Flexible work hours in a focused but casual environment.
Education stipend.
English classes.
Growth prospects at a truly welcoming, multicultural and multilingual company.
Possibility to work remotely

To Apply
Do you feel that you don't check all of the requirements? At CARTO we believe that professional development happens through teaching and learning from your peers and managers. Even if you’re uncertain about whether you have the experience we’re looking for, please apply if this position sparks your curiosity.

A diversity of identity, perspective, and experience makes us stronger. We welcome you to apply to CARTO regardless of your background, gender, ethnicity, orientation, or ability.

To learn more about us, please visit our blog or follow us on Twitter (@carto) or Instagram (@cartohq).
Not the right job for you? Take a look at the rest of our openings at carto.com/careers


Director Data Science Analytics

About Us
Food52 is an award-winning brand in the kitchen and home space, using an innovative commerce, content and community business model to reach over 24 million homecooks and homebodies, and was recently named No. 28 on Fast Company’s list of the World’s Most Innovative Companies of 2022. We’re passionate about giving our deeply-engaged audience everything they need to enjoy life’s most important pleasures – food, home & connection to others.

As part of an ongoing initiative, we remain focused and committed to diversity, equity, and inclusion as the center of our hiring process and our company culture. We're committed to building a community that values and honors the contributions of underrepresented  communities to our shared culinary experience—starting with the Food52 family. You can read more about our support, and link to our progress, in our DEI Vision Statement.

About The Role
As Food52 continues to accelerate our growth, we are looking for a leader to spearhead the evolution of our data function. Reporting to the Chief Product and Technology Officer, the Director of Data Science and Analytics will be the most senior data leader at the company, partnering with every leader to design, evangelize, and execute on the platforms and tooling that drive how we build data powered products and transparent, actionable insights.  This role will have a huge impact on the future of Food52 by further developing the strategy for the future of data in our core business.

Who You Are
In this role, you’ll drive a complete data & visualization system, work hand-in-hand with top leadership to drive the strategic planning processes, support teams with valuable data-driven insights & recommendations, and lead a high-performing team of data & strategy analysts. We’re looking for someone who will evangelize the use of data and analytics in everything we do and work with a wide variety of cross-functional leaders to integrate analytical learnings and intelligence into the product and business decisions that propel Food52 forward and create a data-based decision-making culture.

Personal Characteristics
At Food52, the right personal characteristics are as important as prior work experience. You are:
•   Curious: You’re deeply curious and driven to investigate relentlessly until you’re at the root issue
•   Analytical: You love solving complex problems and turning them into amazing stories
•   Customer-obsessed: You have a passion for deeply understanding your customer, and put them at the center of everything you do
•   Collaborative: You’re a master at working cross-functionally and believe it’s about the team, not the individual
•   Entrepreneurial: You’re a self-starter who takes the lead in getting things done as well as figuring out what needs to be done
•   High-energy: You’re infectiously optimistic and resilient, and bring positivity and forward momentum to any team you join

Responsibilities

Lead and manage data team
Attract, recruit, train, coach and retain top talent
Design, develop and continuously improve data collection and visualization solutions
Define and socialize metrics, dashboards, reports and custom analyses to track performance and success of initiatives and business outcomes across the business
Ensure that all stakeholders have access to reliable and accurate dashboards and reporting as required to operate their areas of business
Lead our data science and machine learning efforts
Own all DBT, Looker and Google Analytics functions, including working with multiple teams across the business to troubleshoot operational or data issues in the data pipelines
Lead the team to deeply understand our customers, and their actions, our product offering and experience, what works or what does not, and develop future strategies based on that understanding
Turn complex data-driven insights into compelling stories that are anchored in improving and optimizing customer experience and engagement across all touch points
Develop a partnership with business stakeholders to ensure we are meeting existing analytic needs by asking the right questions in order to deliver an actionable solution
Empower partners in Product, Design, and Engineering with the tools and skills needed to view and analyze data
Participate in business strategy discussions, determine how KPIs impact operational and financial performance of the business, work with business unit leaders to strategize & forecast accordingly
Drive the development of key strategy documents, with ownership for elements of the operating plan such as key initiatives, KPIs and team goals

Requirements

8+ years of experience in business intelligence, analytics, data visualization, data science, and data management. Experience with consumer-facing media or commerce products a plus
Demonstrated analytical skills with the ability to generate business cases and insights from diverse data sources
Meticulous attention to detail and project management capabilities
Experience with business intelligence platform tooling; experience with Looker a plus
Experience creating impact through various approaches to analysis and implementation of tools, including but not limited to:  Modeling media mix & developing multi-channel attribution model / Creating customer lifetime value, propensity-to-buy, and propensity-to-churn models / Designing & analyzing product experiments, including A/B, multivariate, and multi-armed bandit experiments / Performing and tuning SQL queries with large datasets (billion-plus records) / Working with modern data technology, aggregation tools and relational databases / Instrumentation & tracking of Google Tag Manager and Google Analytics / Experience overseeing or working closely with machine learning (AI functions a plus)
A passion for leading teams and mentoring top talent
A track record of building strong, productive relationships with a wide variety of stakeholders and teams

Compensation & Benefits

Competitive salary
Comprehensive health, dental, and vision benefit options (including some that are free for you!), flexible spending account, and any-time access to professional mental health advice
Annual bonus plan
401(k) retirement savings plan
Free life and AD&D insurance
Unlimited vacation days (including two company-wide weeks off for Summer Week & Winter Week!)
Fitness subsidies
Pre-tax commuter benefit plan
Flexible hours and working arrangements
Employee discount and exclusive access to Food52 Shop products

Food52 is an Equal Opportunity Employer and does not discriminate on the basis of one's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. Food52 will consider qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local "Fair Chance" laws.


Data Scientist Finance Data

We’re Coinbase. We’re the world’s most trusted way to join the crypto revolution, serving more than 89 million accounts in more than 100 countries.
Our mission is to increase economic freedom around the world, and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web 3.0 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those people who always lead the group project? That’s us.
There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a culture like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people who are excited to learn about and live crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all over the world.
Ready to #LiveCrypto? Who you are:
You’ve got positive energy. You’re optimistic about the future and determined to get there.
You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0.
You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow.
You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job.
You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission.
You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone.
Blockchains are revolutionizing how financial data is shared and audited. As a Data Scientist within Finance Data, you will be at the heart of these innovations and collaborating closely with the Coinbase finance team, building finance data pipelines and tools that integrate traditional banking with the future of money.
You’ll spend most of your time collaborating closely with business partners in accounting, product, engineering, finance and data science teams — to ensure we’re supporting the biggest business opportunities. You’ll spend your time with the Data team building models and systems that help scale our data deliverables. We expect you to demonstrate clear communication, strong desire to execute and best-in-class craftsmanship.
What you’ll be doing (ie. job duties):
Identify data, metrics and analyses needs for business partners; Initiate, develop and maintain data pipelines and data models that power dashboards and data products with outstanding craftsmanship.
Work across multiple subject matter experts to drive new data initiatives, supporting new product launches, and building and automating reports
Establish best practices in implementation of data models, pipelines and reporting.
Act as a strategic partner to functional teams; initiate and execute on data projects to help prioritize opportunities and provide actionable recommendations
Collaborate with stakeholders in US and Japan to define requirements; design and scope project plans; execute, test and implement data and reporting solutions
Work with the broader Data team to find ways to scale our platform through better systems and automation.
Develop core metrics and management dashboards to track and understand them.
What we look for in you (ie. job requirements):
4+ years of relevant experience
Self starter, has the ability to multitask, and able to excel with minimal guidance
General experience working with data systems
Experience with data processing (ETL), SQL and Python programming language.
Strong understanding of key finance business processes (e.g. Accounting, Treasury processes) and products
Be able to independently create documentation for new data projects and requests and build collaboration within the team.
Demonstrate our core cultural values: clear communication, positive energy, continuous learning, act like an owner and efficient execution.
Highly collaborative, with an ability to optimally secure inputs from many cross-functional teams
Bachelor’s Degree in Computer Science or equivalent practical experience
Nice to haves:
Be able to proactively manage prioritization of work and deliver work with great quality and influence the broader team in creating leverage
Previous experience working with financial services data is a plus
Domain experience in Accounting and Finance areas
Experience with Looker, Tableau or other business intelligence platforms
Experience manipulating large amounts of structured and unstructured data.
Sounds Cool? Let's work together.
Notice for Colorado applicants as required by sb19-085 (8-5-20). Target annual salary for this role performed in Colorado is either $140,250 or $175,100 + target bonus + target equity + benefits (including medical, dental, vision and 401(k)).
*The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates.
(G2129)
Please note that for employees based in the US, Philippines, Canada or Singapore, if your role requires you to be present in a Coinbase office or if you choose to be physically present in a Coinbase office or sponsored location, you will be required to be fully vaccinated from COVID-19 (as defined by applicable law).  If you receive an offer, you will receive additional information about the grounds and process for an exemption.
Commitment to Equal Opportunity
Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.  For US applicants, you may view Pay Transparency, Employee Rights and Equal Employment Opportunity is the Law notices by clicking on their corresponding links.  Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations[at]coinbase.com and let us know the nature of your request and your contact information.  For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required.


Data Science Manager

Grammarly team members who will be collaborating at our San Francisco hub must be based in the United States.
The opportunity
Grammarly empowers people to thrive and connect, whenever and wherever they communicate. Every day, 30 million people and 30,000 teams around the world use our AI-powered writing assistant. All of this begins with our team collaborating in a values-driven and learning-oriented environment.
To achieve our ambitious goals, we’re looking for Data Scientist Managers to lead teams and work with product partners by understanding our users, contributing to product and growth strategy, and developing fundamental measurement frameworks. Data Scientists at Grammarly are trusted subject matter experts who uncover new insights to inform product and growth strategy. Our Data Scientists work with teams that build our core product features, demonstrate the value of our product to users, and empower people to use Grammarly everywhere they write. We have large datasets and are looking for folks with deep technical and analytical skills to break down complex business problems to provide solutions with high visibility and impact for the company.
Grammarly’s data scientists have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product and growth roadmap. The complexity of the technical questions we face is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog.
Your impact
As a Data Scientist Manager, you will:

Have a broad scope and an evolving role in a rapidly growing company.
Lead, motivate, and grow a team of talented data scientists to drive business growth and product roadmaps using data.
Be a thought leader to influence the product and business partners.
Identify new Product and Growth opportunities.
Provide data-driven solutions to complex product and growth questions.
Advise on experimentation strategy.
Identify strategic data needs.

We’re looking for someone who

Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
Preferably has 3 years of experience managing data science teams.
Has experience as an influential and effective thought partner to product teams and shows strong communication, proactiveness, creativity, and prioritization skills.
Has strong analytical and critical thinking skills as well as a strong bias toward actionable insights.
Has experience helping others understand numbers.
Has practical experience in data analysis, statistics, and experimentation.
Is proficient with SQL as well as programming in Python, R, Scala, or an equivalent language.
Holds a PhD in a quantitative field or a master’s in a quantitative field with a minimum of 3 years of relevant working experience.

Support for you, professionally and personally

Professional growth: We hire people we trust, and we give team members autonomy to do their best work. We also support professional development with training, coaching, and regular feedback.

A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. We have a highly collaborative culture supported by our EAGER values. We also take time to celebrate our colleagues and accomplishments with global, local, and team-specific events and programs.

Comprehensive benefits: Grammarly offers all team members competitive pay along with a benefits package encompassing superior health care (including mental health benefits). We also offer support to set up a home office, ample and defined time off, gym and recreation stipends, 401(k) matching, and more.

For Colorado-based employment: The base salary range (excluding equity) for this position is $192,000-$326,000/year; however, base pay offered may vary considerably depending on job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.

We encourage you to apply
At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Grammarly will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. Grammarly is an equal opportunity employer and participant in the U.S. Federal E-Verify program.


Data Scientist

The opportunity
Grammarly empowers people to thrive and connect, whenever and wherever they communicate. Every day, 30 million people and 30,000 teams around the world use our AI-powered writing assistant. All of this begins with our team collaborating in a values-driven and learning-oriented environment.
To achieve our ambitious goals, we’re looking for Data Scientists at all levels of experience—early career, senior, staff, and tech lead—to work with product partners to understand our users, contribute to product and growth strategy, and develop fundamental measurement frameworks.
Data Scientists at Grammarly are trusted subject matter experts who uncover new insights to inform product and growth strategy. Our Data Scientists work with teams that build our core product features, demonstrate the value of our product to users, and empower people to use Grammarly everywhere they write. We have large datasets and are looking for folks with deep technical and analytical skills to break down complex business problems to provide solutions with high visibility and impact for the company.
Grammarly’s Data Scientists have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product and growth roadmap. The complexity of the technical questions we face is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog.
Your impact
As a Data Scientist, you will:

Take on a broad scope of work and an evolving role in a rapidly growing company.
Conduct deep-dive analyses into user behavior.
Quantitatively study large user segments.
Develop user segment targeting strategy.
Drive direction on the Product and Growth teams.
Identify new product and growth opportunities.
Opportunity-size new strategic levers.
Provide data-driven solutions to complex product and growth questions.
Define advanced metrics.
Advise on experimentation strategy.
Identify strategic data needs.

We’re looking for someone who

Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
Holds a PhD or master’s degree in a quantitative field.
Has 3+ years of relevant work experience.
Has experience as an influential and effective thought partner to product teams.
Demonstrates strong communication, proactiveness, creativity, and prioritization skills.
Has strong analytical and critical thinking skills as well as a strong bias toward actionable insights.
Has experience helping others understand numbers.
Has practical experience in data analysis, statistics, and experimentation.
Is proficient in SQL, Python, R, Scala, or an equivalent language.

Support for you, professionally and personally

Professional growth: We hire people we trust, and we give team members autonomy to do their best work. We also support professional development with training, coaching, and regular feedback.

A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. We have a highly collaborative culture supported by our EAGER values. We also take time to celebrate our colleagues and accomplishments with global, local, and team-specific events and programs.

Comprehensive benefits: Grammarly offers all team members competitive pay along with a benefits package encompassing superior health care (including mental health benefits). We also offer support to set up a home office, ample and defined time off, gym and recreation stipends, 401(k) matching, and more.

For Colorado-based employment: The base salary range (excluding equity) for this position is $156,000-286,000/year; however, base pay offered may vary considerably depending on job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.

We encourage you to apply
At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Grammarly will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. Grammarly is an equal opportunity employer and participant in the U.S. Federal E-Verify program.


Senior Data Scientist

XSELL is currently seeking a Sr. Data Scientist to support our growing clientele and continuous improvements to our platform.  This position requires experience with machine learning production line and ability to work on the design and implementation side of Data Science services. Additional tasks include working with natural language data, NLP algorithms, and  ML models to improve our AI platform with a focus on measured business impact and leveraging statistics to determine the main areas of opportunity for the system to improve as well as ensuring the successful launch of major initiatives.  We’re still developing and senior members will play an active role in maturing the organization towards better data flows and data science processes which will include working with team members, performing statistical analysis, and writing code/docs.
Ways You Will Contribute:
Improving XSELL’s proprietary softwares, real time messaging recommendation system, HiPer using various mathematical, Natural Language Processing (NLP) algorithms and machine learning models.Designing, Developing and Enhancing the current Data Science machine learning pipeline framework for advanced model architectures to improve client models performance.Working closely with DevOps to enhance the Data Science products and microservice environment architecture and support the production deployments of product and models enhancements.Working closely with internal stakeholders to identify the bottlenecks and define new processes to drive efficiencies within the Data Science department.Working closely with Ontology and Reporting team stakeholders to understand the data architecture and support the design and development of Data Science product metrics for measurements and analytics.Planning, development, and analysis of dialogue prediction/sentiment models, causal models of customer/agent behavior.Improving the accuracy of the in house XSELL Recommendation System software suite by evaluating and monitoring annotations manually labeled by Ontology team.Analyzing and researching the current market trends for possible AI opportunities/improvements.
What You Will Bring:
MS/PhD in a quantitative discipline (e.g. Machine Learning, Data Science, Computer Science, Mathematics, Statistics, or a related field).3+ years full time employment experience building and validating predictive models on structured or unstructured data.Experience in designing/developing production level machine learning architectures (using Flask or Redis)Proficiency in Python with knowledge of basic libraries for data manipulation, machine learning, natural language processing and text mining and experience writing production ready code.Experience with Data Science pipeline components for model training.Experience in designing/developing production level machine learning architectures (using Flask or Redis).Experience creating and using advanced machine learning algorithms (regression, neural networks, etc.)Understanding of deep learning algorithms and experience with related libraries such as TensorFlow, PyTorch.Ability to create structure and processes from scratch and improve existing processes and align team members to them. Experience in SQL is a plus.Understanding of object oriented design.Ability to craft new concepts and stay current with academic research.Experience with graph databases and graph designs.
XSELL is committed to a culture of teamwork; where everyone works together to plan, do, learn, and continuously improve. We accomplish that by staying true to our core values.
Best Chapter: Every XSELLer is plugged in and focused on writing their “best chapter yet”, both personally and professionally. We believe in working hard to achieve success, but that success only comes if we are doing it together. We do this with a high level of humility, integrity and compassion towards out coworkers. We celebrate and recognize each other and have a lot of fun along the way.Know Us By Our Results: We do what we say and say what we do. Our coworkers and clients will “know us by our results” – we welcome that and embrace transparency and measurement.Do It The XSELL Way: Together we are building an inclusive culture full of top performing, talented people that are striving towards common goals with resilience. People will admire not only the work we do but also that we “do it the XSELL way” – as one team. We do this through strong communication, collaboration and accountability to each other.Open for Business: We are always “open for business” – fiercely committed to improving ourselves, our team and our company. We stay curious and approach every situation as an opportunity to learn and grow.Conversations Happen In the Room: Feedback is imperative to our collective success. We approach the “conversation in the room” with respect, empathy and candor. Our dialogue with each other is always open and honest.
XSELL Technologies is an Equal Employment Opportunity Employer and all employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
We are committed to the full inclusion of all qualified individuals. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, perform essential job functions, and/or receive other benefits and privileges of employment, please contact us.
#LI REMOTE
#BI-Remote


Data Scientist Auto R D

Our Value Proposition:
Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat.
In this role as the Data Scientist - Auto R&D :
Our countrywide Insurance Product management team is building the future of our insurance product. Our team consists of predictive modeling and insurance professionals working collaboratively with stakeholders across Clearcover. We’re looking for a strong leader to build products that create confident, happy customers.
What will you do as the Data Scientist - Auto R&D ?

Roll up your sleeves to design, gain alignment, and execute on impactful initiatives spanning our customers’ journey
Lead a small but mighty team to build the future of our insurance product
Collaborate with the State Product Management, Product and Technology, Legal and Compliance, Growth, Marketing, and the ClearAI team to attract the right customers at the right time
Democratize data and insights to facilitate data-driven decision-making across Clearcover
Embrace and champion agile development practices and function as the day to day scrum master on directly managed team(s)

What do you need as the Data Scientist - Auto R&D?

7+ years of experience applying advanced quantitative or predictive modeling techniques
Successful track record of managing small teams in an Agile framework
Strong intellectual curiosity with a bias towards action
Deep insurance knowledge with Auto and Property experience preferred
Strong communication skills with the ability to understand and explain P&L concepts to a non-technical audience

What would make you an exceptional candidate?

Strong programming skills with experience in SQL, and R or Python
Extensive product development experience from concept through post launch monitoring

But wait, there’s more:
As a people-first company, your health and well-being is a priority at Clearcover. While we do offer medical (and cover the vast majority of the premium), dental, vision (and cover 100% of those premiums) and 401K (we contribute 3% even if you contribute nothing), we’ve curated a stack of perks and benefits that stretch beyond the expected.
With over half of our employees remote to the Chicago HQ office, we paved the way for flexible work locations and continue to offer this flexibility. Our people also have access to unlimited vacation, monthly mental health workshops, discounted gym memberships, equity in the company and an annual bonus program. Plus, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.
Did you know that women and minorities are less likely to apply to a position if they don’t match 100% of the job qualifications? Don’t let that be the reason you miss out on this opportunity! We encourage you to apply anyway. Don’t count yourself out!


Senior Data Scientist

Thank you for checking out our careers page and for your interest in working for Truebill! Truebill is dedicated to providing the best candidate experience possible. We will only reach out to you through official channels with a truebill.com email. Please only apply to roles through our careers page: https://www.truebill.com/careers/.
Protect yourself from job scams! A reminder Truebill will never ask for any personal information until we have extended an offer from a @truebill.com verified email.

ABOUT TRUEBILL 🔮
Truebill is a YC-backed startup with offices in San Francisco and Washington, D.C. Our DC office is right on the Silver Spring metro! Hundreds of thousands of people use Truebill to manage their daily finances and take control of their money.
With a mission to improve the financial health of everyday people, Truebill is transforming the way people manage their expenses and grow their net worth. Through helping people cancel unnecessary subscriptions, negotiating bills, and securing refunds, we save our members money while helping them regain control over their finances.
We're looking for a Senior Data Scientist to join our growing team. In this role, you'll collaborate closely with product, engineering, design, marketing and the data team to better understand the needs and usage patterns of our members, build and deploy new features and models, iterate and optimize existing product experiences to help our members take control of their finances and improve their financial health.

ABOUT THE ROLE 🤹♀
In this role, you will focus on the following types of problems:

Working with product and engineering to predict when a member might overdraft their account based on their spending habits and account balances so that we can warn them in advance

Working with a team to develop the next version of Autopilot - ensuring members have money in the right place at the right time for their near and long term goals

Working with our engineering and data team to develop the next advances in transaction classification and categorization to better detect subscriptions and power our spending insights
Working alongside our product and marketing teams to understand product usage and predict lifetime value and retention of our members and develop ways to serve them better

Regardless of the challenges you dive into, you will:

Become a subject matter expert in your area of specialty and be responsible for leading data projects from start to finish - making key decisions on both implementation and scope while balancing both technical and business goals
Become an expert on our members: understanding their needs and financial goals and work with the data team to measure both their progress and ours
Be a steward of good instrumentation and experimental design - designing analyses, models and products in such a way that they are measurable, testable, repeatable, and robust
Maintain a high technical bar by participating in code reviews, product and technical design discussions, and focusing on maintaining a high degree of quality in our production data

ABOUT YOU 🦄

You have 4+ years of professional experience working in a data science capacity with some combination of Python/scripting language and relational database production experience
You embrace the player and coach mindset - taking the lead on solving hard problems to further your own professional development while mentoring those around you in their growth trajectories
You care just as much about why you're solving a problem as the types of problems. You want to understand context and the bigger picture of how the problem you're working on is impacting and benefitting our members
Experience in one or more of the following in a professional capacity: customer modeling (LTV, Churn), time series prediction, natural language processing and classification, machine learning applied to consumer products
You find yourself often building tools to help others solve their problems and try to follow a philosophy of continuous improvement and automation
You want to continue to grow and optimize to your learning rate and are excited by hard problems and big challenges
Experience with fintech, banking, and consumer transaction data is a plus

WE OFFER 💫

Health, Dental & Vision Plans
Competitive Pay
Matching 401k
Unlimited PTO
Lunch daily
Snacks, Kombucha & Coffee on tap
Commuter benefits

Truebill, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.


Senior Data Scientist

About the Data Science Team
We're looking for data scientists with deep expertise in machine learning, optimization,  building data products, and/or statistics. As part of a small product team you will have full ownership over your domain, so you should be a person who dreams big, then executes well
At Thumbtack, the Data Science team is responsible for a wide variety of problems spanning machine learning, statistics, and computer science:

Characterize marketplace dynamics. Thumbtack’s marketplaces are comprised of thousands of active markets across our service categories and U.S. cities. Via exploratory data analysis and experimental design, our team works to understand trends and behaviors within these markets.

Improve customer and service provider matching. Matching and optimization algorithms are fundamental to Thumbtack’s product: we now service millions of matches per week. Identifying better matches between customers and service providers has an incredible impact on the experience of customers and professionals transacting on our platform.

Model complex relationships in the presence of many confounding factors. Predictive modeling problems are everywhere across our product. Our team works to scope, design and implement machine learning models to support Thumbtack’s product.

Responsibilities

Design and execute experiments, collect and analyze data to characterize our product
Architect and deploy machine learning systems to production
Design and implement metrics that align with company goals
Analyze a wide variety of data: structured and unstructured, observational and experimental
Collaborate with engineering, marketing, and economists to use sound statistical practices.

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

M.S. or equivalent experience in Computer Science, Economics, Engineering, Math, Statistics, or other relevant technical field
Expert knowledge of machine learning techniques: regression and classification, clustering, neural networks, boosted decision trees, etc.
Ability to effectively read, write, and debug code in programming languages such as Python
Good knowledge of probability and statistics, including experimental design, optimization, and causal inference
Excellent written and verbal technical communication skills

Nice-to-Have Qualifications

Ph.D. in Computer Science, Economics, Engineering, Math, or Statistics
Expert knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference
Experience with large-scale distributed systems

Thumbtack is a virtual-first company, meaning you can live and work from any one of our approved locations across the United States, Ontario or the Philippines. When it is safe to gather, we will begin to host in-person events on a regular basis. Remote employees will be expected to travel occasionally for these events to a Thumbtack library or offsite team-building location. In cities with 5+ employees, we are establishing local communities, where employees can gather for local events. Additionally, employees in the San Francisco, Salt Lake City, Toronto and Manila areas will have opt-in access to communal workspace at one of our Thumbtack libraries. We always prioritize the health and safety of our employees. Currently, participation in these events and Thumbtack library use are optional. Both require employees to be fully vaccinated.
#LI-Remote


Lead Data Scientist Emea M F D

ABOUT THE ROLE
Rain is looking for an experienced and passionate senior data scientist in our Data organization. This role will partner directly with product managers, engineers, marketing and other business partners across the business to research, develop, deploy and continuously improve the machine learning solutions to drive growth at Rain and improve user experience for our customers.
Responsibilities

Work with the risk and underwriting team to move from rules-based to predictive underwriting models

Create new predictive variables using your intuition, data insights, and automation techniques

Discover and evaluate the reliability of new data sources

Automate the creation of machine learning models

Underwrite customers and help define credit line limits and pricing

Thwart any fraudulent activities through superior data processes

Collaborate with business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.

Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.

Works closely with a team of frontend and backend engineers, product managers, and analysts.

Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.

Requirements

Fluent English

4+ years of experience in a data science role

Experience with or knowledge of R, SAS, Python, Matlab, SQL, noSQL, Hive, Pig, Hadoop, Spark

Able to build modern machine learning models using the aforementioned tools

Be an advocate for a data driven culture

Excellent problem solving and troubleshooting skills

Process oriented with great documentation skills

Excellent oral and written communication skills with a keen sense of customer service

BS or MS degree in Data Science, Computer Science or a related technical field

Knowledge of best practices and IT operations in an always-up, always-available service


Data Science Lead Us

We’re looking for a Data Scientist/Credit Modeler with startup experience to be our firstDS boots on the ground and launch our credit modeling function at Rain. You’ll wearthree hats: a high-performing individual contributor that will launch productionizedmodels, a leader that can build a data science team, with global dynamics, around youto tackle the unique challenges we’re facing, and a technically savvy strategic thinkerthat can be a thought partner to Credit, Product, and Engineering counterparts in settingup pipelines and other infrastructure to deploy insights at scale. Reporting through thecredit part of the organization, we’ll look to you to help develop and automate solutionsto complex business problems ranging from building credit models that touch on the fullcustomer lifecycle, to advanced forecasting, to customer segmentation, to optimizingpersonalized experiences on our platform.
Key Responsibilities● Identify and solve business challenges with advanced data science andanalytical tools● Partner with the credit team, product team, and engineering to translate businessinsights into productionalized models● Work cross functionally to design and set up the necessary pipelines andinfrastructure to deploy these productionalized models at scale throughout theorganization (inclusive of across numerous geographies)● Act as a thought partner to our senior leadership to help design and execute on awinning data-driven strategy● Understand and deploy the best tools/methods to effectively communicatecomplexities as needed to cross-functional teams
Skills:● 4-8 years of experience in a credit modeling or data science role● Degree in a quantitative field: economics, statistics, finance, computer science,or engineering● Expert in SQL and Python● Experience with pipeline development and model deployment (and maintenance)● Excellent communicator with the ability to explain ideas and concepts to DSnatives and novices alike● Entrepreneurial thinker with a bias for action● Experience working in a fast-paced, resource constrained, environment● Ability to successfully adapt and adjust to changes in business, regulatory, andeconomic environments● Firm understanding of personal finance and credit industry best practices● Ability to work under tight deadlines and exhibit grace under pressure● Desire to improve consumers' financial situation but ability to make toughdecisions


Data Scientist

Amwell, a leading telehealth platform in the United States and globally, seeks a highly motivated Data Scientist. Amwell believes that digital care delivery will transform healthcare. We offer 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 150 health systems comprised of 2,000 hospitals and 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 independently wrangle data, conduct statistical analyses, and uncover analytic insights that drive operational performance, client performance, industry knowledge, and product innovation.
The ideal candidate is a self-starter with insatiable curiosity. The incumbent 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:

Develop scalable and automated analytic processes and workflows
Independently develop ETL data flows
Ensure quality and accuracy of data assets and analytic deliverables
Develop novel data assets (e.g., data enrichment and integration) and metrics (e.g., feature engineering and data reduction)
Identify and lead development of analytic insight that drive product innovation, operational and client performance, and industry trends
Conduct statistical analyses, e.g., exploratory data analysis, unsupervised and supervised learning, and statistical modeling (including machine learning)
Deploy statistical/machine learning models
Conduct experiments
Proactively identify and lead initiatives to improve processes for, and quality of, data assets and analytic deliverables
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, GCP, R, Python, Tableau, etc.)
Document and check-in programming scripts, processes, and deliverables
Develop internal network of colleagues, based on a reputation for collaboration, execution, and high-quality work

Qualifications:

3+ years of experience as a data scientist/applied statistician (e.g., building advanced statistical and machine learning models)
3+ years of SQL, including complex queries of multiple data sources
2+ years of developing scalable and automated ETL processes
1-3 years of experience in the SaaS industry (preferably in a data analyst type role) is a plus
Intermediate to advanced knowledge of mathematical statistics
Expert level proficiency with R, Python, Stata, or other high level data analytic programming languages
Expert level data visualization skills
Basic to intermediate proficiency with general purpose programming languages (e.g., JavaScript, VB, PHP, C++)
Knowledge of BI tools (e.g., Tableau, Looker, Domo) is a plus
Knowledge of NLP 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
Familiarity with the health care industry is a plus
Bachelors or higher in a Quantitative Analysis field (e.g., Mathematics, Statistics, Economics, Engineering, Computational Sciences)

Working at Amwell
Amwell is changing how care is delivered through online and mobile technology. We make online doctor visits accessible to everyone for one-off care issues like colds or infections, and chronic condition management, such as diabetes or depression. We make the challenging work of healthcare looks easy and requires a mission-driven mentality. We are a “go getter” culture that prides itself on smarts, initiative, creative thinking, and a strong work ethic.
Our corporate headquarters are in downtown Boston at 75 State Street – in the heart of the city. In addition to the opportunity to build the future of healthcare technology and a terrific location, we offer:

Unlimited Personal Time Off (Vacation time)
401K match
Competitive healthcare, dental and vision insurance plans
Free gym access – on-site
Prime office space with views overlooking all of Boston
Complimentary snacks and drinks


Data Scientist

Responsibilities

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

Requirements

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

Preferred

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

Technical Experience

AWS Lambda for data ingestion and Kinesis Firehose to transport them into S3
Step functions and Lambdas to coordinate workflows
AWS Redshift as the data warehouse + Spark on EMR for doing ETL
Terraform for maintaining infra
Jenkins & CircleCI for build pipelines
Postgres RDS is our application database
Our code base is primarily in Golang & Typescript. However, our data bits are mostly in Python.

Check out our Engineering Blog!