Gtm Staff Data Scientist

See yourself at Twilio
Join the team as our next GTM Staff Data Scientist!
Who we are & why we’re hiring
Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences.
Although we're headquartered in San Francisco, we have presence throughout South America, Europe, Asia and Australia. We're on a journey to becoming a globally anti-racist, anti-oppressive, anti-bias company that actively opposes racism and all forms of oppression and bias. At Twilio, we support diversity, equity & inclusion wherever we do business. We employ thousands of Twilions worldwide, and we're looking for more builders, creators, and visionaries to help fuel our growth momentum.
About the job
This position is needed to maximize the impact of a vast amount of data to generate actionable insights and build ML models to drive go-to-market efficiency. You will help lead the growing data science team and have experience delivering end-to-end machine learning projects. You thrive on ambiguity and enjoy the frequent pivoting that comes with that exploration. You are passionate about applying practical machine learning to go-to-market use cases that drive sales efficiency and productivity.
Responsibilities
In this role, you’ll:

Apply artificial intelligence and machine learning techniques to drive sales efficiency and productivity (e.g., by building models like new logo propensity, next-best-product recommendation engines, etc.).
Extrapolate data-driven insights using advanced, predictive statistical modeling and testing applied to data acquired and cleansed from diverse sources.
Mentor a team of junior and senior data scientists.
Interact and collaborate with cross-functional teams (Sales, Marketing, Finance, and Product) to define requirements and propose new ML models to drive business impact.
Provide and inspire data science innovations that fuel the growth of sales and Twilio as a whole.
Provide technical data science leadership across multiple teams to help guide data-driven strategies.
Understand and teach proven methods and hacking skills in working with divergent data types at scale.
Provide GTM and Sales stakeholders the entrepreneurial guidance essential for appropriately interpreting and building on findings and fully exploiting the insights revealed through the research.

Qualifications
Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
Required:

BS, MS, or PhD in an appropriate technology field (Data Science, Computer Science, Statistics, Applied Math, Econometrics, Operations Research, etc.)
4+ plus years experience in data science, with a focus on predictive modeling.
Expertise in Python, with expert command of machine learning libraries.
Strong proficiency in SQL.
Expertise in machine learning and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, anomaly detection, recommender systems, and natural language processing.
Experience with the full end-to-end data science lifecycle : Requirements gathering, Feature Engineering, Feature Selection, Model Building, Model evaluation, Model Deployment.
Impeccable attention to detail and strong ability to convert complex data into insights and action plans.
Able to effectively communicate a vision and inspire others to innovate.

Desired:

Experience with AWS SageMaker, Databrics, MLFlow, or Kubeflow is a plus but not required.

Location
This role will be remotely based in the United States.
What We Offer
There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!
If this role isn't what you're looking for, please consider other open positions.
(Location dependent information)
Colorado applicants:

The estimated pay range for this role, based in Colorado, is $145,520.00 - $181,900.00.
Additionally, this role is eligible to participate in Twilio's equity plan.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the state. This role is also eligible to participate in Twilio’s equity plan and for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
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Principal Data Scientist

About Us:
SmartAsset is an online destination for consumer-focused financial information and advice that powers SmartAdvisor, a national marketplace connecting consumers to financial advisors. Reaching approximately 75 million people each month (as of Sept. 2021) through its educational content and personalized calculators and tools, SmartAsset's mission is to help people make smart financial decisions. Ranked on the Inc. 5000 and Deloitte Technology Fast 500™ lists of fastest growing companies in 2021, SmartAsset closed a $110 million Series D round, valuing the company at over $1 billion. SmartAsset was also named to Y Combinator's list of Top 100 Companies of all time and Forbes' list of America's Best Startup Employers in 2020.
SmartAsset has been featured in hundreds of publications, including the Wall Street Journal, CNN, TechCrunch, The New York Times, CNBC, FOX Business, The Washington Post, U.S. News World Report, TIME, Reuters, Businessweek, and Barron’s.
About the Team:
At SmartAsset you will join a team of data scientists that are at the forefront of AI/ML applications for the company. You will have the opportunity to work cross-functionally with leaders from different teams (Marketing, Product, Sales, and Technology), and with our growing team of Data Engineers, and Data Analysts.
You will identify opportunities, create roadmaps, and deliver data-products that will have an enormous impact on the business from week one.
About the Job:
As a Principal Data Scientist you will lead the development and the deployment of machine learning models that will drive business decisions, with a focus on leading the deployment of real-time ML models through micro-services and/or Feature Stores, and on model monitoring.  You will help to design data science roadmaps, mentor junior data scientists, and lead the adoption of good practices across the whole team (unit testing, model versioning, model monitoring, etc.).
You will utilize your strong problem-solving skills, computational experience, and business analytics to solve real-world problems at scale. You will design and implement a variety of data products to support and drive business operations, working cross-functionally with other business leaders.
Skills/Experience You Have:

Experience leading multiple domains in a company, delivery of models working with cross functional teams, proven ROI returns for business
Proficient in Python (pandas, numpy, matplotlib, scikit learn, tensorflow, etc) and SQL.
Professional experience with the development and deployment of predictive models (both batch and real-time), with an emphasis on Recommendation Systems and Time Series (SARIMAX, DeepAR, LSTM, Prophet, …).
Knowledgeable of best practices such as version control (git), documentation, environments, unit tests, and containerization.
Professional habits around model validation, testing, and tracking.
At least 8 years of relevant working experience. Strong quantitative background.

Skills/Experience Preferred:

Experience with ML services like Feast, FastApi, AWS Sagemaker, DataBrew, Feature Store and with common Data Warehouses (e.g. SnowFlake).
Experience with model monitoring (drift / performance, confidence intervals, …).
Comfortable in working on the line between data science and data engineering and mentoring junior colleagues.
An Agile development mindset, appreciating the benefit of constant iteration and improvement. A very high bar for output quality, while balancing long and short term solutions.

Available Benefits and Perks:

All roles at SmartAsset are currently and will remain remote - flexibility to work from anywhere in the US.
Medical, Dental, Vision - multiple packages available based on your individualized needs
Life/AD&D Insurance - basic coverage at 100% company paid, additional supplemental available
FSA: Medical and Dependant Care
401K - 3% match with immediate vesting
Equity packages for each role
Time Off:  PTO, 3 Month Paid Parental Leave,  Secondary Caregiver Leave
EAP (Employee Assistance Program)
Pet Insurance
Short-term and Long-term Disability
Home Office Stipend
Health and Wellness Stipend
Monthly Food Delivery Stipend

SmartAsset is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at Recruiting@smartasset.com.


Senior Data Scientist

At Carbon Health, we believe in the power of health, of medicine, and of technology. We’ve built a diverse and passionate team of employees who are all driven to learn from one another and reach Carbon Health’s mission of making great healthcare accessible.

• Ranked on Inc. 5000's list as the 2nd-fastest-growing private company in the U.S. in 2021
• Recognized as a LinkedIn Top 50 Startup in 2020
• More than 125 clinics in 16 states and growing with a goal to reach 1,500 clinics nationwide by 2025

COVID Vaccination Requirement for Candidates Seeking Employment: Carbon Health, as both a healthcare provider and a federal contractor, is subject to certain laws, regulations and orders requiring its workforce to be fully vaccinated against COVID-19 and its variants. Carbon Health has therefore implemented a requirement that all employees be fully vaccinated. Candidates seeking employment with Carbon Health will be required to: (1) be fully vaccinated against COVID-19 and its variants by their start date unless a medical or religious exemption has been approved and a reasonable accommodation has been granted; and (2) submit proof of vaccination prior to their start date. The preceding is a condition of employment with Carbon Health.

As a Data Scientist at Carbon Health, you will partner closely with various teams to deliver high-impact data products, drive actions by providing visibility into the state of care and operations, and implement and evangelize reliable data processing and interpretation practices. Given Carbon’s focus on healthcare accessibility, this role offers one of the rarest opportunities to apply data science on unique and evolving datasets to solve real problems at scale, reaching over a million patients.

WHAT YOU’LL DO

Collaborate with orgs such as Engineering, Product, Design, Support, Operations, Finance, and Marketing.
You will have the opportunity to deeply understand entire product lines.
Architect and implement efficient data warehouse models and semantic layers with query optimizations in mind.
Define performance metrics and conduct experiments to drive business goals across Primary, Urgent, and Virtual Care, delighting our patients, providers, payers, and employers.
Work closely with Machine Learning, Data Engineering, and Data Analyst teams to build and deploy innovative models end-to-end, serving products such as our in-house Clinical Decision Support System.
Communicate results of analyses in a clear and actionable way to stakeholders.
Foster a culture of learning within the organization; demonstrate a strong team-player mentality to cultivate cross-functional collaborations.

ABOUT YOU

5+ years of experience in data science, data analytics, statistics, operations research, capacity building, or equivalent quantitative field.
Prior experience in healthcare is preferred.
Proficiency in SQL and Python data processing (pandas, sklearn).
Experience with development tools and platforms such as dbt, Jupyter Notebook, Snowflake, Looker, AWS.
Committed to excellence in data governance, analytics, and engineering.

PERKS

Forward-thinking, transparent, and inclusive company culture
Competitive salary, generous paid time off, learning time off, and paid holidays
Comprehensive benefits package including medical, dental & vision Insurance with 100% of monthly premium covered for employees & 80% for dependents
401k with employer match, FSA, HSA, and dependent care options
Employee referral bonus program, employee resource groups, and professional development through Udemy Business

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#LI-Remote

Carbon Health is a leading national healthcare provider with a mission to make high-quality healthcare accessible to everyone. We offer primary and urgent care to nearly two-thirds of the U.S. Leveraging our unique technology platform, we provide patients with omnichannel care, designed to meet them where they are by delivering care across a variety of access points, including in-person clinics, virtual care and remote patient monitoring (RPM). Carbon Health also focuses on value-based care and other value-add services to employers, health plans, health systems and other ecosystem partners.

We recognize that the key to success lies in valuing the minds, experiences and perspectives of people from all walks of life. Carbon Health is proud to value diversity and be an equal opportunity employer. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, we will consider for employment qualified applicants with arrest and conviction records.


Data Science Manager Demand Forecasting

Wild Thinkers Welcome

Thrasio is a next-generation consumer goods company reimagining how the world’s most-loved products become accessible to everyone. We acquire quality brands and use world-class expertise and data science to make existing products better or create new ones to meet customer needs.

We’ve got huge goals, and every Thrasher plays an integral part in getting us there. That’s why we only bring on people who think positively. Who look out for the team. Who tell their egos to take a hike while they get the job done right.

From the moment you become a Thrasher, we give you the freedom you need to take big swings and push what’s possible to get us there. And if you fail, it’s cool—we know you’ll grow spectacularly. What matters is that you’re helping impact millions of people around the world who use our products everyday.

Because with every new spatula or pillow brand we grow, with every kitchen scale we develop, our goal is to provide people everywhere with what they need to make the most of every moment - ensuring that what gets delivered to their door delivers.

The Role

As a Data Science Manager on the Demand Forecasting team, you will own a demand forecasting system at the center of inventory, promotions, pricing, and marketing decision-making across Thrasio’s extensive portfolio of omnichannel products. Partnering closely with experts in causal inference, pricing, optimization, and machine learning, you’ll help drive world-class automated decision-making through accurate and timely demand forecasts, a fundamental part of Thrasio’s long-term success and continued market leadership.

Responsibilities

Leveraging machine learning, statistical, and econometric time series techniques alongside hybrids of these to develop accurate, granular demand forecasts within a hierarchical product catalog context.
Partnering closely with the pricing, promotions, supply chain, and marketing science teams to integrate the causal impact of their business levers into your forecasts, creating a single source of truth for forward planning for the business.
Developing distributions around your forecast via either parameter estimation or non-parametric bootstrapping techniques to power automated robust optimization systems.
Collaborating with cross-functional partners such as engineering, product management, and brand managers to build interfaces to your models, allowing for informed, tracked overrides of forecasts where business context is missing.
Driving strategic initiatives across the broader org as a leader at Thrasio.
Owning team development cycles, managing risk, and bringing stakeholders along for the ride

What You Bring To The Party

Masters or Ph.D. in a quantitative subject (i.e. computer science, economics, operations research, statistics, etc.) or a related field such as Industrial Engineering, Statistics, Mathematics, Computer Science, etc.
5+ years (Masters) or 3+ years (Ph.D.) of practical experience working with demand forecasting systems (ideally in e-commerce).
Expertise in some of statistical/econometric time series modeling (ARIMA, Exponential Smoothing/ETS, GLMs/GAMs, Dynamic Factor Models, etc.), machine learning (XGBoost/LightGBM, RNNs, Transformers, etc.), or hybrid time series techniques (ES-RNN, N-BEATS, TFT).
Proficiency in Python or R, SQL, Git

Nice To Have, But Not Required

Experience in supply chain optimization, pricing, causal inference (to ease collaboration with partner teams).
Familiarity with Databricks, Snowflake, Spark (or other forms of distributed computing).

THRASIO IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER AND CONSIDERS ALL QUALIFIED APPLICANTS FOR EMPLOYMENT WITHOUT REGARD TO RACE, COLOR, RELIGION, SEX, GENDER, SEXUAL ORIENTATION, GENDER IDENTITY, ANCESTRY, AGE, OR NATIONAL ORIGIN. FURTHER, QUALIFIED APPLICANTS WILL NOT BE DISCRIMINATED AGAINST ON THE BASIS OF DISABILITY, PROTECTED CLASSES, OR PROTECTED VETERAN STATUS. THRASIO PARTICIPATES IN E-VERIFY.

Thrasio does not accept agency resumes. Please do not forward resumes to our jobs alias, Thrasio employees or any other organization location. Thrasio is not responsible for any fees related to unsolicited resumes.


Data Scientist

2021 Top Small Business Lending Platform Award by LendIt Fintech

Overview

SmartBiz is on a mission to transform small business lending.

SmartBiz is the leading AI-powered small business financing platform equipping entrepreneurs with access to the right capital at the right time. To date, we’ve connected borrowers with more than $9 billion in funding while increasing efficiency for our network of banks and trusted lending partners. More than 230,000 entrepreneurs have utilized our platform to access the funding they need to grow, with 60% of loans made to minority, women, or veteran-owned businesses.

Data Scientist

Do others describe you as curious or inquisitive? Are you a person who loves to learn and always seeks to understand the why, how, and what? Then let’s talk about a Data Science opportunity on our team. SmartBiz has channeled over $9 billion of capital to over 230,000 small businesses across the country; those business owners rely on us to deliver meaningful recommendations and insights.

You will join a quickly-growing team of Data Engineers and Data Scientists to drive insights, improve automation, and build financing recommendations for small businesses. You will help cross-functional teams make better decisions with data, faster. If you are motivated to help small businesses and excited about gaining insights from data, we'd love to help you take the next step in your career.

How You Will Make An Impact:

Leverage data and modeling to drive product success by identifying and solving ambiguous questions
Conceive, develop, and execute projects to increase accuracy, automation, and customer satisfaction
Deeply understand the data and business context to build and measure useful statistical and machine learning models
Create key product metrics and performance indicators to risk and meaningfully contribute to profitability and customer satisfaction
Effectively communicate and collaborate with a cross-functional team of stakeholders

What We Are Looking For:

3 - 7+ years of experience analyzing large data sets to solve problems and drive impact
A degree in a quantitative field (e.g., Operations Research, Economics, Statistics, Sciences, Engineering)
Expert knowledge of a scientific computing language (Python or R) and SQL
Strong knowledge and hands-on experience with machine learning, statistics, and experimentation
Experience in building scalable ETL solutions utilizing SQL, Presto, Spark, and other tools
Experience in working with multiple cross-functional teams to deliver results
The ability to communicate results clearly
Experience with underwriting, credit models, or other financial instruments is a plus

Opportunities & Benefits We Will Provide:

Join us on the journey as we target an IPO in 24-36 months
Help redefine small business banking
Competitive salary and equity in a fast-growing start-up
100% paid medical, dental, and vision benefits for you and your dependents
100% paid life and disability insurance
401k plan
Work from anywhere in the United States; we're a fully distributed company, and we provide the tools, culture, and support to make your work setup work for you

More About SmartBiz:

60% + of the loans funded by our banks are for women-owned, minority, or veteran businesses
Great Place to Work Certified, August 2022 - August 2023 USA
American Banker's Best Places to Work in Financial Technology in 2017, 2020, and 2021
TechBullion named SmartBiz as one of the 5 Best Fintech Companies to Work For in 2019
#313 on the Inc. 5000 list of fastest-growing private companies in the U.S. in 2018
Named one of the Best Places to Work and one of the Bay Area’s Fastest-Growing Private Companies by the San Francisco Business Times
A+ rating with the Better Business Bureau and rated "excellent" by review websites TrustPilot, Consumer Affairs, and Google

The company has raised $47 million in venture funding. Investors include Venrock, Investor Growth Capital, and First Round Capital.

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SmartBiz Loans is an Equal Opportunity employer and proud to provide equal employment opportunity to all job seekers without regard to any status protected by applicable law.

California residents can learn more about how we use your information by visiting https://sites.google.com/view/smartbizloans-employment-ccpa


Data Scientist

Company Description
Amwell is a leading telehealth platform in the United States and globally, connecting and enabling providers, insurers, patients, and innovators to deliver greater access to more affordable, higher quality care. Amwell believes that digital care delivery will transform healthcare. 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 support development of data assets, statistical analyses, and analytic insights that drive operational performance, client performance, industry knowledge, and product innovation.
The ideal candidate is a self-starter with insatiable curiosity.  S/he must be able to proactively identify and lead opportunities to improve processes and deliverables while demonstrating quality and accuracy of data assets and analytic deliverables through close attention to detail and strong follow-through.
Core Responsibilities:

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

Qualifications:

Bachelors or higher in a Quantitative Analysis field (e.g. Mathematics, Statistics, Economics, Engineering, Computational Sciences)
2+ years of experience as a data scientist/applied statistician (e.g. building advanced statistical and machine learning models)
2+ years of SQL, including complex queries of multiple data sources
2+ years of developing scalable and automated ETL processes
Basic to intermediate knowledge of mathematical statistics
Proficiency with Python (preferred), or other high level data analytic programming languages
2+ Years of experience with visualization tools in a development and report/dashboard building role. Looker experience preferred.
Knowledge of BI tools (e.g. Looker, Domo)
Capable of working on multiple projects and context shift quickly in a fast-paced environment
Ability to translate incomplete or immature objectives into well- defined requirements
Excellent verbal and written communication
1+ years of experience in the SaaS industry (preferably in a data analyst type role) is a plus
Familiarity with the health care industry is a plus

Additional information
Your Team:
Energetic, forward thinking, and resourceful are a few words that describe the Product Management team at Amwell.  This innovative team of 12 manages the product roadmap, designs experiences that delight users, and works closely with current and future customers as the product experts of the Amwell family. Each member of this dynamic group works very collaboratively, communicating the product’s value across all other Amwell teams and to our customers.
We enjoy working with colleagues inside and outside of the organization, and making our ideas come to life! If you love technology and want to be surrounded by a team of intelligent, fast paced and energetic team members, this may be the team for you! Come join the excitement!
Working at Amwell:
Amwell is changing how care is delivered through online and mobile technology. We strive to make the hard work of healthcare look easy. In order to make this a reality, we look for people with a fast-paced, mission-driven mentality. We’re a culture that prides itself on quality, efficiency, smarts, initiative, creative thinking, and a strong work ethic.
Our Core Values include One Team, Customer First, and Deliver Awesome. Customer First and Deliver Awesome are all about our product and services and how we strive to serve. As part of One Team, we operate the Amwell Cares program, which brings needed assistance to our communities, whether that be free healthcare for the underserved or for people affected by natural disasters, support for equality, honoring doctors and nurses, or annual Amwell-matched donations to food banks. Amwell aims to be a force for good for our employees, our clients, and our communities.
Amwell cares deeply about and supports Diversity, Equity and Inclusion. These initiatives are highlighted and reflected within our Three DE&I Pillars - our Workplace, our Workforce and our Community.
Amwell is a "virtual first" workplace, which means you can work from anywhere, coming together physically for ideation, collaboration and client meetings. We enable our employees with the tools, resources and opportunities to do their jobs effectively wherever they are!  Amwell has collaboration spaces in Boston, Tysons Corner, Portland, Woodland Hills, and Seattle.

Unlimited Personal Time Off (Vacation time)
401K match
Competitive healthcare, dental and vision insurance plans
Paid Parental Leave (Maternity and Paternity leave)
Employee Stock Purchase Program
Free access to Amwell’s Telehealth Services, SilverCloud and The Clinic by Cleveland Clinic’s second opinion program
Free Subscription to the Calm App
Tuition Assistance Program
Pet Insurance


Product Data Scientist Senior And Staff Levels

At Mozilla, we want to make products that keep the Internet open and secure for all. We collect terabytes of data a day from millions of users to guide our decision-making processes. We could use your help.
As a Product Data Scientist, you will work closely with the product and marketing organization. You are an inquisitive thinker who is keen to practice full-stack data science, with experience ranging from designing and engineering data extraction processes to finding patterns and anomalies in data through analytical techniques.  You have strong interest in honing your technical skills further on real-world data.  You believe that data science can lead to insights that can guide the future of Mozilla. You will apply your expertise in quantitative analysis, statistical modeling, and data visualization to see beyond the numbers and understand how our worldwide community experiences our products.
The Role
As a Data Scientist at Mozilla:
You help design and analyze experiments to understand ecosystems, user behaviors, and long-term trends.
You build key data sets to empower operational and exploratory analysis.
You advocate for standard methodologies across the organization.
You own the definition, evaluation and reporting of key product metrics.
You communicate narratives with data to many audiences, ranging from product managers to technical leads.
You sit at the intersection between product, marketing, engineering, and leadership to inform, influence, and help execute our product strategy.
Your Professional Profile
You lead with empathy. You value teamwork and teammates. You are invested in knowledge sharing and learning from others. You contribute positively and meaningfully to cultivate an inclusive and equitable team culture.
Ideally, you have prior experience with Internet data or any large, high-dimensional data set.  Experience comes in all forms and personal projects count.  We’ll be especially excited if you have worked end-to-end on a data-intensive project on a level that you’d see in a graduate degree program in a quantitative or analytical discipline.
You have practice with extracting data from a variety of sources using SQL or SQL-like tools as well as have performed statistical modeling using Python or R.  You also desire to gain further technical experience on the job.
You have experience concisely presenting results (e.g. through report-writing or presentations) and are comfortable explaining technical concepts to non-experts.
You have a keen interest in telling stories with data visualizations and building impactful, insight-driven narratives.
You consider contributing to a collaborative and open team culture an important responsibility.
About Mozilla
Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.
Commitment to diversity, equity, inclusion, and belonging
Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission.  We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities and expressions.
We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccomodation@mozilla.com to request accommodation.
We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws.  Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.
Group: D
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Req ID: R1691


Data Science Tech Lead Data Products

Ramp is building the next generation of finance tools—from corporate cards and expense management, to bill payments and accounting integrations—designed to save businesses time and money with every click. More than 10,000 customers cut their expenses by 3.5% per year and closing their books 8x faster by switching to the Ramp platform.
Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment software in America and enables billions of dollars of purchases each year. Ramp continues to grow at an increasingly large scale, more than doubling its revenue run rate in the first half of 2022.
Valued at $8.1 billion, Ramp's investors include Founders Fund, Stripe, Citi, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures, General Catalyst, and Thrive Capital, as well as over 100 angel investors who were founders or executives of leading companies. The Ramp team comprises talented leaders from leading financial services and fintech companies—Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One—as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart. Ramp was named Fast Company’s most innovative finance company in 2022.
About the Role
Come lead the future of production data science at Ramp! The Data Science team at Ramp creates value by optimizing core leverage points across the business to enable better insights and build better products. You will build the first iteration of customer facing data products such as price intelligence, merchant categorization, savings insights, and more. Ultimately, you will leverage millions of data points across transactions, users, businesses, and merchants to build the core platforms and services that allow Ramp to save our companies time and money.
You will need to have a head for product development & cross-functional collaboration, since you will partner closely with business stakeholders to prioritize, execute, and drive results. You will also partner closely with the rest of the data team and the engineering team to design, implement, and maintain data science services in production.
What You’ll Do

Full stack data science product development: from project conception, to data modeling and cleaning, to research and prototyping, to deploying and monitoring models in production
Contribute to the company roadmap by working closely with stakeholders throughout the lifecycle of prioritization: from complex and nebulous business context, to well-defined objectives, to a roadmap of scoped opportunities for leveraging data science to drive business results
Architect and define the required technical platforms that enable us to build data science products and services at scale
Manage the upstream and downstream relationships and SLAs with frequent data science collaborators: analytics engineering, data engineering, product engineering, as well as third party vendors and software providers
Lead solutions on tough data science problems around NLP, forecasting, recommendations, human-in-the-loop systems & processes, and more

What You Need

Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 5 years of industry experience as a Data Scientist, Research Scientist, Machine Learning Engineer, or equivalent
Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery); experience working with large datasets in Python
Ability to build standalone data science products/services and to work cross-functionally to deploy and monitor in production
Experience with the nuts-and-bolts of machine learning: custom loss functions, stochastic gradient descent, backtesting frameworks, etc
Track record of shipping high quality data products in production and at scale
Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions

Nice to Haves

PhD in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields
Experience deploying NLP classification, recommendation services in product environments
Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
Familiarity with MLOps/infra required to build and scale low latency customer facing data science services experience with Databricks, MLflow, AWS (Sagemaker, Redshift, ECS, Fargate, Load Balancer, EMR) or equivalent
Experience at a high-growth startup

Ramp Benefits (for U.S. based employees)

100% medical, dental & vision insurance coverage for you

Partially covered for your dependents
OneMedical annual membership

401k (including employer match)

Please note only 401k contributions made while employed by Ramp are eligible for an employer match

Unlimited PTO
Annual education reimbursement
WFH stipend to support your home office needs
Monthly wellness stipend; Headspace annual membership
Parental Leave
Relocation support


Data Scientist

About Lyra Health
Lyra is transforming mental health care through technology with a human touch to help people feel emotionally healthy at work and at home. We work with industry leaders, such as Morgan Stanley, Uber, Amgen, and other Fortune 500 companies, to improve access to effective, high-quality mental health care for their employees and their families. With our innovative digital care platform and global provider network, 10 million people can receive the best care and feel better, faster. Founded by David Ebersman, former CFO of Facebook and Genentech, Lyra has raised more than $900 million.

About the Role
At Lyra we believe that data-driven technology and decision making is a critical part of solving the thorny, complex challenges of provider quality and accessibility in a broken system. We are looking for an experienced Data Scientist with a minimum of 3 years of professional experience (academic/internships alone will not qualify) who cares about clinical quality, impact, ownership and cross functional collaboration.

*This Data Scientist role can be full-time in our Burlingame, CA headquarters, OR virtual (remote candidates must be currently located in the United States).

As a Data Scientist on this product-facing team, you will...

Work closely with Lyra’s product and operations teams to deliver a great provider experience -  one that combines their technology acumen with an emphasis on client skill development - a practice that is differentiated, short-term, and cost-effective.
This includes guiding a client during a difficult experience, and increasing alliance to, and adherence with, our programs/shared decision making tools, allowing for a truly interactive in-session experience.
Create frameworks to monitor and report on the performance of in-session features and tools, and discover actionable insights about the provider experience that our internal teams will leverage to enable our platform to be more engaging and efficient for our providers.
We will also look to you to provide input on business strategy, including generating insights on how we can continue to grow Lyra’s provider network.

Lyra is for you, if you...

Have a passion for data analysis, and want to leverage your work to benefit the mental well-being of our clients.
Want to work with brilliant people solving hard problems
Have a passion for social impact and helping people when they are most vulnerable
Like to collaborate across teams with physicians, therapists, data engineers, and product managers

We are looking for someone with...

MINIMUM of 3+ years of professional experience in data analysis, preferably in a healthcare industry setting.
Preference for individuals who have experience in product analytics and have partnered with Engineering/Product teams in prior roles.
Demonstrated understanding of statistical applications and methods (experimentation, probabilities, regression).
Experience with Python, including cleaning and analyzing data as well as using Python to parse JSON structured data, call APIs, create user-defined functions and automate.
Strong SQL proficiency, including experience writing complex queries with multiple schemas and tables.
Experience developing comprehensive analyses using diverse data sources.  Experience with Tableau is a plus.
Willing to self-start, self-teach and research if you don’t know how to do something.
Strong communication/interest in understanding the whole business and collaborating across multiple functions.
Graduate-level Statistics coursework, with MS in a quantitative field preferred (statistics, econometrics, biostatistics, quantitative social sciences) or equivalent professional experience.

Diversity & Inclusion

Diversity, equity, inclusion, and belonging (DEIB) at Lyra is essential to the way we deliver culturally responsive care, build and manage our provider network, and support holistic efforts to strengthen DEIB in workplaces around the world—including our own.
People come to Lyra with a range of needs, backgrounds, and abilities that influence their response to mental health support. Our diverse network of providers delivers comprehensive mental health treatment and support rooted in culturally responsive care, a multicultural approach that accounts for the impact of cultural backgrounds on each person’s care experience. Learn more at https://www.lyrahealth.com/diversity-equity-inclusion-belonging/

#LI-REMOTE

We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age (40 or older), disability,  genetic information or any other category protected by law.


Data Scientist

SentiLink is building the future of identity verification in the United States. The existing ways to determine if somebody is who they claim to be are too clunky, ineffective, and expensive, but we believe strongly that the future will be 10x better.

We’ve had tremendous traction and are growing extremely quickly. Already our real-time APIs have helped verify hundreds of millions of identities, beginning with financial services. We’ve recently raised a $70M Series B round, led by Craft Ventures to rapidly scale our best in class products. We’ve earned coverage and awards from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and others. And we’ve even been a part of history--we were the first company to go live with eCBSV and testified before the United States House of Representatives.

As a Data Scientist at SentiLink, you will build our core products: models that identify fraudsters. You will work with teams across the company to research new types of fraud, develop new products, and provide analysis to drive sales and marketing. This is a full-stack data science role, involving model development, analysis, and writing production code. You should be interested in having end-to-end ownership and a fast-moving environment where deep domain understanding drives development and unusual insights drive our competitive advantage rather than optimization of new machine learning methodologies.

Technologies: Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)

This is a remote, US-based role.

Responsibilities:

Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring
Research new types of fraud and develop new SentiLink products around identity verification
Write production-ready code that can be relied on for real-time decision making by our partners
Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts
Work with engineering, risk operations, and data acquisitions to access necessary data, maintain data quality, and support data access

Requirements:

2+ years relevant work experience and PhD or Master’s in a technical field or 2+ years additional relevant work experience
People who generate creative ideas that provide our competitive advantage
Interest in developing deep domain expertise for product-focused work: a background in fraud is not required, but willingness to learn is
Ability to design, perform, and present thoughtful statistical analysis with business-changing implications
Experience writing production code and tests
Understanding of different machine learning models and their trade-offs
Detail oriented and thoughtful -- someone we can rely on to make business-changing decisions
Ability and desire to take initiative and follow projects through to completion
Bonus for familiarity with: fintech or adjacent industries; identity solutions; distributed computing frameworks; data engineering; AWS
Candidates must be legally authorized to work in the United States and must live in the United States

Perks:

Remote work with home office stipend, and regular company-wide in-person events
Lunch, coffee and snacks during the work day are fully reimbursable
We pay for healthcare for you and your dependents
. . . and other typical start-up benefits (e.g. 401k match, unlimited PTO, etc.)

Corporate Values:

Follow Through
Deep Understanding
Whatever It Takes
Do Something Smart


Data Scientist Sales Support

SentiLink is building the future of identity verification in the United States. The existing ways to determine if somebody is who they claim to be are too clunky, ineffective, and expensive, but we believe strongly that the future will be 10x better.

We’ve had tremendous traction and are growing extremely quickly. Already our real-time APIs have helped verify hundreds of millions of identities, beginning with financial services. We’ve recently raised a $70M Series B round, led by Craft Ventures to rapidly scale our best in class products. We’ve earned coverage and awards from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and others. And we’ve even been a part of history--we were the first company to go live with eCBSV and testified before the United States House of Representatives.

As a Sales Support Data Scientist at SentiLink, you will be responsible for our pushing through pilot studies. Pilot studies are the way a financial institution is introduced to our fraud score products -- by securely sharing past accounts with us, we process data, run it through our API, and quickly generate analysis to explain how much fraud SentiLink’s solutions will stop. As such, your work will be the first encounter financial institutions have with SentiLink’s products. SentiLink is growing rapidly and you will be a core component of enabling that growth.

Technologies: Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)

This is a remote, US-based role.

Responsibilities:

Clean, QA, and process through our API millions of applications a month
Develop Python scripts, write SQL queries, working with data scientists and engineers
Analyze and visualize fraud rates, trends, and product performance, collaborating with sales and the go-to-market team
Develop automation for faster processing and safer QA
Coordinate across different teams to handle time-sensitive activities
Support partner success with analyses
Improve product monitoring, including performance, calibration, and latency

Requirements:

Python experience
Master’s or Undergraduate degree in STEM field, or additional relevant experience
Internship experience, including numerical or programming work
Comfort with probability and developing statistical analyses
Detail oriented: someone we can trust to create work shared directly with our partners
Motivated and excited to work in a fast-growing startup
SQL experience preferred
Candidates must be legally authorized to work in the United States and must live in the United States

Perks:

Remote work with home office stipend, and regular company-wide in-person events
Lunch, coffee and snacks during the work day are fully reimbursable
We pay for healthcare for you and your dependents
. . . and other typical start-up benefits (e.g. 401k match, unlimited PTO, etc.)

Corporate Values:

Follow Through
Deep Understanding
Whatever It Takes
Do Something Smart


Senior Data Scientist Gtm Strategy Analytics

See yourself at Twilio
Join the team as our next Senior Data Scientist!
Who we are & why we’re hiring
Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences.
Although we're headquartered in San Francisco, we have presence throughout South America, Europe, Asia and Australia. We're on a journey to becoming a globally anti-racist, anti-oppressive, anti-bias company that actively opposes racism and all forms of oppression and bias. At Twilio, we support diversity, equity & inclusion wherever we do business. We employ thousands of Twilions worldwide, and we're looking for more builders, creators, and visionaries to help fuel our growth momentum.
About the job
This position is needed to maximize the impact of a vast amount of data to generate actionable insights and build ML models to drive go-to-market efficiency. You will help the growing data science team and have experience delivering end-to-end machine learning projects. You thrive on ambiguity and enjoy the frequent pivoting that comes with that exploration. You are passionate about applying practical machine learning to go-to-market use cases that drive sales efficiency and productivity.
Responsibilities
In this role, you’ll:

Apply artificial intelligence and machine learning techniques to drive sales efficiency and productivity (e.g., by building models like new logo propensity, next-best-product recommendation engines, etc.).
Extrapolate data-driven insights using advanced, predictive statistical modeling and testing applied to data acquired and cleansed from diverse sources.
Interact and collaborate with cross-functional teams (Sales, Marketing, Finance, and Product) to define requirements and propose new ML models to drive business impact.
Provide and inspire data science innovations that fuel the growth of sales and Twilio as a whole.
Provide technical data science leadership across multiple teams to help guide data-driven strategies.
Understand and teach proven methods and hacking skills in working with divergent data types at scale.
Provide GTM and Sales stakeholders the entrepreneurial guidance essential for appropriately interpreting and building on findings and fully exploiting the insights revealed through the research.

Qualifications
Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
Required:

BS, MS, or PhD in an appropriate technology field (Data Science, Computer Science, Statistics, Applied Math, Econometrics, Operations Research, etc.)
Demonstrated experience in data science, with a focus on predictive modeling.
Expertise in Python, with expert command of machine learning libraries.
Strong proficiency in SQL.
Expertise in machine learning and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, anomaly detection, recommender systems, and natural language processing.
Experience with the full end-to-end data science lifecycle: Requirements gathering, Feature Engineering, Feature Selection, Model Building, Model evaluation, Model Deployment.
Impeccable attention to detail and strong ability to convert complex data into insights and action plans.

Able to effectively communicate a vision and inspire others to innovate.

Desired:

Experience with AWS SageMaker, Databrics, MLFlow, or Kubeflow is a plus but not required.

Location

This role will be fully remote and may sit anywhere in the United States

Approximately 5% travel or less is anticipated.

What We Offer
There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!
If this role isn't what you're looking for, please consider other open positions.
(Location dependent information)
Colorado applicants:

The estimated pay range for this role, based in Colorado, is $120,160.00 - $150,200.00

Additionally, this role is eligible to participate in Twilio's equity plan.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the state. This role is also eligible to participate in Twilio’s equity plan and for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
#LI-Remote


Senior Data Scientist

About us
MagicLinks powers social commerce through an exclusive marketplace for video influencers and the worlds’ leading brands. Our technology enables creators to earn steady income by sharing the products they love. We provide brands with creator investment data and tools to propel creator success across all social video platforms. We are digital video natives, driven by data, passionate about the content creator community, and committed to excellence.
We are an award winning Certified B Corporation that has been featured in Inc Magazine, Business Insider, WWD and The Information, amongst many others. In 2021, we were named to the annual Inc. 5000 list of the fastest-growing private companies in America and in 2020 became a member of 1% for the Planet. Learn more about our Responsible Impact initiatives here.
We work hard, move fast, and have a ton of fun along the way. Come join us!

Location: Remote in select states* or Venice, CA in the heart of an inspiring and eclectic artist community
Responsibilities:
Empower our stakeholders with data insights to secure and grow business.Work with our product team to expand and create new products.Incorporate elements of machine learning and AI into our core products including developing custom data models and algorithmsEstablish processes and tools to monitor and analyze model performance and data accuracyWork closely with our engineering team to establish best practices for data storage, data warehousing and securityExport, transform, load and analyze data from company databases to optimize and improve product development, marketing techniques and business strategiesUse predictive modeling to increase and optimize user experiences, revenue generation, marketing targeting and other business outcomesAnalyze the effectiveness and accuracy of data sources and data gathering methodsResearch and suggest data sources that can be incorporated to improve our products and streamline business decisions.
You Are
3 to 7 years of experience with data architectures, Machine Learning, Artificial Intelligence; ideally with direct experience in e-commerce, digital media, and/or influencer marketingKnowledge of statistical programming languages such as (Python, R, SQL, etc.). Python and SQL proficiency are a must have.Knowledge of a variety of machine learning algorithms and their real-world pros and consPast experience with scikit-learn or any of the various Machine Learning Services like SageMaker or Amazon Comprehend Experience using a computational environment like Jupyter NotebookExperience using data lake / data warehouse solutions and Big Data (Snowflake, DataBricks, BigQuery, Redshift, Spark, etc.)Data Visualization tools (Tableau, etc.)Excellent communication skills and an ability to distill and clearly communicate the most important insights that have meaningful business impact to diverse stakeholder groups.A highly motivated self-starter, and mental athlete, capable of producing high quality work while adhering to oftentimes very tight turnaround times in an exciting and fast-moving start-up environment.Someone who others describe as disciplined, detail-oriented, and committed to excellencePassionate about the future of digital media, technology, and curious to learn moreAuthorization to work in US (no H1B visa support available at this time)
Compensation
Salary, Bonus, and Equity (based on experience)Full time employees are eligible for health care benefits including health, dental, vision, and 401(k) plans.

Diversity Statement
We're equally committed to diversity, equity and inclusion in our workplace and in how we show up in this world. To us, diversity means recognizing that different views and experiences are as important as those we're already familiar with. It means taking radical ownership of the things we affect as individuals and as a company - including even inherited ways of doing things which may be destructive or biased and which we must work to change. It means looking at the world and making sure we embody as many of its best qualities as we can, and striving for that as a matter of principle, not as a marketing goal we check off a list.
This is how we strive to practice We define diversity as making sure (1) our table represents people from varying backgrounds, (2) inclusion as making sure our people have a seat at the table, and (3) equity as making sure our people have the same means to get to the table in the first place. Externally, we apply the same policies to partnerships, marketing, and product development.
Ultimately, diversity goes beyond what we look like, who we are, who we love, or how we think. Diversity is shorthand for an integrity-driven way of operating and growing every single day, and we wouldn't have it any other way.
You've read this far so now all that's left is hitting us with that boom-boom-pow through a killer resume and cover letter for any of our opportunities that pique your interest.
*AZ, CA, GA, IL, IA, KS, MO, NY, NC, TN, TX, FL, MI, MA
If you are interested, send us your resume to jobs@magiclinks.com


Data Scientist

What is Reach Financial?
Reach Financial is a FinTech platform helping people outsmart debt for good.
We are building innovative products and best-in-class support that enable our customers to take control of their debt and de-mystify their personal finances. Our products and tools empower our customers to turn their financial goals into a reality.
Reach Financial launched in 2015 and has helped our customers pay off over $1 billion in debt. We offer debt consolidation loans and personal loans; together, these markets represent a $1.5T opportunity. In time, we will expand beyond these products to offer solutions for a variety of our customers' personal finance challenges.
We are a fast-growing and fast-paced FinTech startup with the stability of an established firm. You will have a front-row seat at a rapidly growing company innovating the FinTech industry.
About the Department:
Reach Financial’s Risk and Decision Science team consists of a group of Data Scientists, Data Engineers, Analytics Professionals covering all the business units and Business Intelligence Analysts.  We are passionate about data and cutting-edge technology. Our goal is to leverage the data to drive the business growth agenda. The Risk and Decision Science team works cross functionally with other business units to ideate, hypothesize, analyze and test, formalize, implement, maintain, and track progress for all initiatives.
About the Role:
We are looking for a gritty, curious, and collaborative Data Scientist to solve business problems using data. As a Data Scientist, you will use analytical, statistical, and programming skills to collect, analyze and interpret large dataset. Then you will develop data-driven business solutions. This role will report to a Director of Data Science.
What You Will Do:

Mine and analyze data from internal database and external vendor to optimize and improve business decisioning
Research and evaluate model building techniques
Develop predictive models to optimize various functions across the organization, including marketing, risk, and operations
Develop processes and tools to monitor and analyze model performance and data accuracy
Work independently to create data-backed recommendations to help stakeholders make strategic business decisions

What You Should Have:

Masters or PhD in Mathematics, Statistics, Econometrics, Operation Research, Industrial Engineering, Computer Science, or relevant fields is required.
3+ years of experience extracting, cleaning, manipulating datasets and building statistical models.
Experience in lending is required.
Experience using Python to manipulate data and draw insights from large data sets.
Experience applying unsupervised and supervised machine learning algorithms: clustering, decision trees, regression, etc. Understand algorithms’ fundamentals, their real-world advantages/drawbacks.
Experience applying advanced machine learning algorithms: boosting, ensembles, neural networks, gridsearch, etc. Understand algorithms’ fundamentals, their real-world advantages/drawbacks; have intuition on the best algo & hyperparameter to leverage.
Good communication and presentation skills.
Bonus experience in: unstructured data, BeautifulSoup, NLP, time-series modeling, RNN, AI.

What is it like working at Reach Financial?
Our culture is built around advancing our teams, and we are dedicated to the success and growth of every team member. We believe in retaining a high-performing workforce and we prioritize diversity, intellectual curiosity, and continued learning. Our generous benefits packages reflect that.
We’ve been hard at work perfecting our product for years, and now we’re growing faster than ever before. Our strong foundation and company culture is readily equipped for this growth, and we believe that with the right people, our products will continue to help customers make real changes in their financial lives.
What benefits will you receive?

Remote First Culture with optional Hybrid opportunities
Healthcare, Life Insurance, 401k Match
Paid Time Off, Paid 12-week Parental Leave
Disability (short-term, long-term), Employee Assistance Program
Spending Accounts (Transit/Parking, Medical, Dependent Care)
Insurance Discounts (home, auto, pet)

Reach Financial is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Reach Financial makes hiring decisions based solely on qualifications, merit, and business needs at the time.


Fraud Risk Data Scientist

What is Reach Financial?
Reach Financial is a FinTech platform helping people outsmart debt for good.
We are building innovative products and best-in-class support that enable our customers to take control of their debt and de-mystify their personal finances. Our products and tools empower our customers to turn their financial goals into a reality.
Reach Financial launched in 2015 and has helped our customers pay off over $1 billion in debt. We offer debt consolidation loans and personal loans; together, these markets represent a $1.5T opportunity. In time, we will expand beyond these products to offer solutions for a variety of our customers' personal finance challenges.
We are a fast-growing and fast-paced FinTech startup with the stability of an established firm. You will have a front-row seat at a rapidly growing company innovating the FinTech industry.
About the Department:
Reach Financials’ Risk team consists of a group of Data Scientists, Data Engineers, Analytics Professionals covering all the business units, and Business Intelligence Analysts. We are passionate about data and cutting-edge technology. Our goal is to leverage the data to drive the business growth agenda. The Risk and Decision Science team works cross-functionally with other business units to ideate, hypothesize, analyze, and test, formalize, implement, maintain, and track progresses for all initiatives.
About the Role:
We are looking for a gritty, curious, and collaborative Fraud Data Scientist to solve business problems using data. You will use analytical, statistical, and programming skills to collect, analyze and interpret large dataset. Then you will develop, deploy, and track data-driven business solutions.
What You Will Do:

Mine and analyze data from an internal database and external vendors to optimize and improve business decisions
Develop rules/strategies and work with product team to deploy solutions to prevent fraud losses while minimizing customer impact
Create tracking and identify emerging fraud risk threats
Build and leverage internal and external data sources to drive superior risk decisions for the installment loan product
Collaborate with operations and product teams to communicate awareness of fraud trends and initiatives
Utilize third party fraud tools (like: Threat Metrix, Lexis Nexis) to review fraud case setups to hypothesize and test new ideas to improve fraud strategy
Strategize and develop key tracking metrics, develop, and automate reports to track the fraud trends. Identify signal from noise and recommend fraud strategy changes to the risk and data science team

What You Should Have:

Master's or Ph.D. in Mathematics, Statistics, Econometrics, Operation Research, Industrial Engineering, Computer Science, or relevant fields is required.
3+ years of experience extracting, cleaning, manipulating datasets
Experience using Python to manipulate data and draw insights from large data sets is must
Experience in lending is required
Knowledge and experience working with fraud solution providers a plus
Experience personal lending fraud space is plus
Result oriented and self-driven

What is it like working at Reach Financial?
Our culture is built around advancing our teams, and we are dedicated to the success and growth of every team member. We believe in retaining a high-performing workforce and we prioritize diversity, intellectual curiosity, and continued learning. Our generous benefits packages reflect that.
We’ve been hard at work perfecting our product for years, and now we’re growing faster than ever before. Our strong foundation and company culture is readily equipped for this growth, and we believe that with the right people, our products will continue to help customers make real changes in their financial lives.
What benefits will you receive?

Remote First Culture with optional Hybrid opportunities
Healthcare, Life Insurance, 401k Match
Paid Time Off, Paid 12-week Parental Leave
Disability (short-term, long-term), Employee Assistance Program
Spending Accounts (Transit/Parking, Medical, Dependent Care)
Insurance Discounts (home, auto, pet)

Reach Financial is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Reach Financial makes hiring decisions based solely on qualifications, merit, and business needs at the time.


Data Scientist Us Design

Advance your Data Science career at Liberty Mutual Insurance- A Fortune 100 Company!
Our Product Design and Modeling team is growing and is searching for passionate Data Scientists at multiple levels to join our team.  These are incredible opportunities to leverage and hone your data science skills and to help build models, design new products and drive pricing sophistication.  You will use machine learning, predictive analytic techniques, and languages/software such as Emblem, SQL, SAS and Python.  These roles work collaboratively across Product Design and Modeling in the US.
Responsibilities:
Develop expertise in products requiring price segmentation and in available analytic data.
Support the evaluation of profitability, growth, and product design
Where appropriate, build loss cost, loss ratio, and/or non-pricing models of moderate complexity across lines of business, and more complex models under general direction
Explore and utilize advanced modeling techniques (e.g., machine learning techniques such as Elastic Nets)
Recommend and execute proposals for meaningful improvement
Evaluate and recommend pricing on optional coverages
Collaborate with Product Delivery, State, and other teams to help implement new pricing programs including supporting material and responding to DOI objections
Potential for up to 10% travel
Remote work available
Job Specifications:
Reference:  2022-51624
Category: Data Science
Primary Location: Remote
Additional Locations:
Schedule: Full-Time
Salary: USD-$87,900.00-–-$161,600.00-/-Year
Education Level:
 Travel: As Needed


Data Science Internship Graduate Summer

Description & Responsibilities
Qualifications
Featured Benefits
Why Liberty Mutual?
It’s a data-driven world. Be part of a growing community of data science professionals that harness the power of data to analyze performance trends, identify opportunities, and keep Liberty Mutual moving forward.
The details
Calling all aspiring data scientists! Here’s the perfect opportunity to grow your knowledge and skills in key areas such as cloud computing, machine learning, and various modeling techniques and software.
In the 10-to-12-week Data Science Graduate Level Internship, you’ll build robust models and use statistical software, such as R, Python, and SAS, to solve critical business problems in product management, claims, distribution, marketing, HR, legal, finance, and other business functions.
At the conclusion of your summer internship, you’ll deliver a presentation of your work and skills to your colleagues and the data science management team.
The Data Science Graduate Level Internship may be your first step toward pursuing a rewarding career at Liberty Mutual, one of the leading property and casualty insurers in the United States. Our interns often transition into full-time opportunities at our Boston, Chicago, and Seattle offices.
Job Specifications:
Reference:  2022-50361
Category: Data Science
Primary Location: Boston, MA
Additional Locations: Remote
Schedule: Intern/Coop
Salary: USD-$42.50-–-$52.50-/-Hour
Education Level: Master’s Degree
 Travel: As Needed


Product Lead Data Science Analyst

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


Senior Data Science Analyst

About This Role
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
What You'll Do
Work closely with management to execute analytical initiatives.Solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning.Create reports and dashboards to closely monitor performance metrics and provide insights.
How You'll Do It
Develop advanced analytics solutions including customer segmentation, optimization, test & design of experiments and prescriptive analytics to solve business problems. Operate as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application and financial impact analysis.Collaborate with cross-functional partners to understand their business needs, formulated and completed end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Deliver effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.Establish and maintain effective performance tracking; identify improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and optimization.Manage multiple priorities, communicate business performance and project progress to management & business partners.Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Facilitate implementation of work product and ensure accuracy.Consistently follow standard work processes and documentation requirements. Recommend improvement to work processes to increase efficiency while maintaining quality of work. Continuously improve technical and leadership skills through training and development.
Qualifications You'll Need
The Basics
Bachelor’s Degree in Analytics, Engineering, Statistics or related field2+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field
Bonus Points If You Have
Master’s Degree in Analytics, Engineering, Mathematics, Statistics or related fieldExperience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field
#LI-LG1
#Remote
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.


Senior Marketing Data Scientist Monetization

Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
Atlassian is hiring an experienced data scientist for the Small/Medium Business Monetization Data Science team. This team sits within the Enterprise Go-To-Market team and is a group that creates monetization programs and strategies to help Atlassian products unleash the potential of every small/medium business team. Our team focuses on the important moments of a small/medium business's discovery of and journey with Atlassian products. We uncover and guide data-informed strategies across Atlassian's CLM organization.
What you'll do
Become the subject matter expert in Atlassian's small business monetization strategy across our portfolio of products.Work with Marketing Leadership and partners to help guide marketing strategy.Apply causal inference and econometric methods to measure marketing campaign strategies and programs.Coordinate different facts and findings into powerful narratives that have the broadest possible application within Atlassian.Collaborate with numerous analytics and data science teams in addition to partnering with marketing, sales and product managers.Build measurement methodologies and capabilities that have broad application across Atlassian.Promote evidence-based decision-making by partnering with important decision makers and senior leadership.Identify and improve the execution of the full Analytics & Data Science team through standardization of process, authoring new practices, mentorship and cultivation of new expertise.Join a growing team of analysts and play an active role in team collaboration and culture.
Your background
5+ years of analytics experience either in technology, engineering, consulting or other relative work experience.Experience within product, marketing, growth, or sales analytics and data science teams.You can write SQL with a preference for well-architected data models, optimized query performance.You are proficient in at least one programming language (e.g. Python, R) and a visualization and business intelligence platform (e.g. Tableau, Looker, Mode).Build incrementally to help support a moving organization.You use data to help go-to-market teams influence company-level outcomes.


Data Scientist Intern

About the Job:
LaunchDarkly is seeking a Data Scientist Intern to join our Decision Science Products team for Summer 2023. The decision science products teams currently own experimentation, LaunchDarkly’s second largest product, and are developing additional products that rely heavily on statistics, especially sequential testing and Bayesian optimization.Our data platform processes events from over twenty billion feature flag evaluations, and billions of experimentation metrics events daily. The core technologies we use daily include Golang, Scala, Kinesis, and Flink. As a data scientist you will be responsible for using appropriate statistical methods for various problems in our product space, and working with data engineers to implement those solutions at scale.
What you'll get to do:

Build and expand our data and decision science products

Design statistical solutions for new products and evolving customer needs

Collaborate with product team to influence and deliver user-facing features

Partner with customers to solve diverse data challenges using our products

Promote statistics standards, tooling, and processes

Opportunity to work on industry or academic papers for new methodologies

Opportunity to work as a junior data scientist in a production environment

On day one, you should have:

Should have finished your Junior year or pursuing an Advanced Degree in Statistics, Mathematics, Physics, Economics or related quantitative field

Appreciation for both frequentist and Bayesian statistics

Strong communication skills, a positive attitude, and empathy

You hold yourself and others to a high bar when working with statistics

You value high code quality, reproducibility, and other data engineering best practices

Bonus Points:

Experience with sequential testing

About LaunchDarkly:
LaunchDarkly is a Feature Management Platform that serves trillions of feature flags daily to help software teams build better software, faster. Feature flagging is an industry standard methodology of wrapping a new or risky section of code or infrastructure change with a flag. Each flag can easily be turned off independent of code deployment (aka "dark launching"). LaunchDarkly has SDKs for all major web and mobile platforms. We are building a diverse team so that we can offer robust products and services. Our team culture is dynamic, friendly, and supportive. Our headquarters are in Oakland.
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.

Don't let the confidence gap get in the way of applying! We'd love to hear from you.

LaunchDarkly is also committed to giving back to our community and is a part of Pledge 1%, an organization that helps companies make this a priority. Through this initiative and its charitable arm, the LaunchDarkly Foundation, the company is committed to such causes as supporting education for the underserved, homelessness relief and moving towards having a net-zero carbon footprint. You can find more about the LaunchDarkly Foundation and the organizations we serve at https://launchdarkly.com/foundation/.

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Lead Data Scientist Applied Statistician

About the Job:
We are currently looking for a Lead Data Scientist to join our Decision Science Products team. As a lead data scientist you will help us choose and develop the best statistical methods for various data and decision science products. The decision science products teams currently own experimentation, LaunchDarkly’s second largest product, and are developing additional products that rely heavily on statistics, especially sequential testing and Bayesian optimization. We're looking for someone who can work efficiently as the first, full-time data scientist on the decision science team getting solutions from concept to production.
Our data platform processes events from over twenty billion feature flag evaluations, and billions of experimentation metrics events daily. The core technologies we use daily include Golang, Scala, Kinesis, and Flink. As a data scientist you will oversee be responsible for finding the appropriate statistical methods for various problems in our product space, and working with data engineers to implement those solutions at scale.
Your work will be used by companies from small to large, across multiple industries, allowing them to make the best business decisions possible.
What you'll get to do:

Build and expand our data and decision science products
Design statistical solutions for new products and evolving customer needs
Collaborate with product team to influence and deliver user-facing features
Partner with customers to solve diverse data challenges using our products
Promote  statistics standards, tooling, and processes
Opportunity to work on industry or academic papers for new methodologies
Opportunity to build out a team of data scientists
Opportunity to help educate customers via blog posts, office hours, etc.

On day one, you should have:

Advanced degree in Statistics, Mathematics, Physics, Economics or related quantitative field
Proven experience and fluency probability and statistics
Experience building experimentation tools
Appreciation for both frequentist and Bayesian statistics
Strong communication skills, a positive attitude, and empathy
You hold yourself and others to a high bar when working with statistics
You value high code quality, reproducibility, and other data engineering best practices

Bonus Points:

Experience with sequential testing

About LaunchDarkly:
LaunchDarkly is a Feature Management Platform that serves trillions of feature flags daily to help software teams build better software, faster. Feature flagging is an industry standard methodology of wrapping a new or risky section of code or infrastructure change with a flag. Each flag can easily be turned off independent of code deployment (aka "dark launching"). LaunchDarkly has SDKs for all major web and mobile platforms. We are building a diverse team so that we can offer robust products and services. Our team culture is dynamic, friendly, and supportive. Our headquarters are in Oakland.
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.

Don't let the confidence gap get in the way of applying! We'd love to hear from you.

LaunchDarkly is also committed to giving back to our community and is a part of Pledge 1%, an organization that helps companies make this a priority. Through this initiative and its charitable arm, the LaunchDarkly Foundation, the company is committed to such causes as supporting education for the underserved, homelessness relief and moving towards having a net-zero carbon footprint. You can find more about the LaunchDarkly Foundation and the organizations we serve at https://launchdarkly.com/foundation/.

#LI-Remote


Data Scientist Senior Or Lead Neural Networks

As a Senior/Lead Data Scientist, you’ll join a team of highly skilled data scientists working on a broad range of business problems within our Claims Advanced Analytics team. With a focus on helping improve the accuracy and efficiency of our Claims handling processes, you and your team will support an agenda focused on generating millions of dollars of incremental value - specifically in the 'fixing cars' space inclusive of estimatics, triage, and claims routing. You’ll use your experience working with machine vision and neural networks to solve complex problems and handle large and varied data sets to create smarter and more personalized claims experiences for our talented claims representatives and more than 20 million customers. Remote Work Allowed.
Must-Have Qualifications
Master's degree or higher with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or related field (e.g. Mathematics).
In lieu of the above, Bachelor's degree with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or related field (e.g. Mathematics) and a minimum of 1 year of relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools (e.g. R, Python) and in using various database tools (e.g. Hadoop, SQL) processing large volumes of structured and unstructured data.
In lieu of a degree, a minimum of 5 years of relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools (e.g. R, Python) and in using various database tools (e.g. Hadoop, SQL) processing large volumes of structured and unstructured data.
Preferred skills
Proficiency in SQL and one higher level programming language (e.g., Python or R)
Experience in machine vision/neural networks
Ability to communicate technical findings to a wide range of audiences
Experience with cloud platforms (e.g., AWS, GCP, Azure)
Experience with terminal/shell script
Experience with version control tools (e.g., GIT)
Compensation
$80,300 - $147,500/year depending on position level and experience
Gainshare bonus up to 30% - 40% (depending on position level) of your eligible earnings based on company performance
Benefits
401(k) with dollar-for-dollar company match up to 6%
Medical, dental & vision, including free preventative care
Wellness & mental health programs
Health care flexible spending accounts, health savings accounts, & life insurance
Paid time off
Paid & unpaid sick leave where applicable, as well as short & long-term disability
Parental & family leave; military leave & pay
Diverse, inclusive & welcoming culture with Employee Resource Groups
Career development & tuition assistance
Onsite gym & healthcare at large locations
Equal Opportunity Employer
Sponsorship for work authorization for this position is available for candidates who already possess an H-1B visa.
#LI-REMOTE


Pricing Analyst Senior

As a pricing analyst senior on the Commercial Lines team, you’ll collaborate with leaders in maintaining and advancing statistical methods for our core commercial auto product.  You’ll have the opportunity to design, test and implement new direct and ceded pricing models and diagnostic reporting in support of commercial lines growing reinsurance program. This is a great opportunity to be part of a multifaceted team with the ability to gain exposure to senior business leaders.  Remote work allowed.
Must-have qualifications
Bachelor's degree or higher in a quantitative field of study and a minimum of three years of analytical work experience
Instead of a quantitative degree, a bachelor's degree or higher and a minimum of five years of analytical work experience
Instead of a degree, a minimum of six years of analytical work experience
Preferred skills
Prior exposure of advanced statistical techniques and their application to modeling of frequency and severity cost components.  Formal hypothesis testing of data possibly displaying serial correlation and heteroscedasticity is a plus.
Experience hypothesizing, designing, creating, and implementing data flows to support pricing analytics - from data acquisition to final exhibits supporting recommendations.
Advanced skills with established statistical software, like R or SAS – specifically, programming simulations, superior data visualization techniques and the efficient programming of necessary statistical tests.
Thorough understanding of relevant Actuarial principles and methods.  Certification in the CAS is not required.  If the selected candidate is working toward certification in the CAS, then they will be supported through the corporate Actuarial Study program.
Experience with reinsurance is a plus.
Compensation
$66,300 - $95,000/year
Gainshare bonus up to 30% of your eligible earnings based on company performance
Benefits
401(k) with dollar-for-dollar company match up to 6%
Medical, dental & vision, including free preventative care
Wellness & mental health programs
Health care flexible spending accounts, health savings accounts, & life insurance
Paid time off
Paid & unpaid sick leave where applicable, as well as short & long-term disability
Parental & family leave; military leave & pay
Diverse, inclusive & welcoming culture with Employee Resource Groups
Career development & tuition assistance
Onsite gym & healthcare at large locations
Equal Opportunity Employer

Sponsorship for work authorization for foreign national candidates is not available for this position.

#LI-Remote