Data Scientist

About Vercel:
At Vercel, we believe that liberating the frontend unlocks creativity and open-source is the best way forward.
We are building a next-generation internet where developers can create freely and execute new ideas, guaranteeing a more vibrant, personalized internet. Vercel’s platform provides the speed and reliability to create at the moment of inspiration. In other words, our friction-less, real-time deployment makes it possible to start working on projects immediately — anywhere in the world.
Our globally-distributed team works asynchronously to lead the React ecosystem and serve developers at large companies. We pride ourselves on our diversity, shared urgency to iterate, team-oriented decision making, and drive to dig deep.
About the Role:
The Data Science role at Vercel is responsible for providing a broad range of advanced analytical services to the Data Team’s stakeholders. Example problems include:
Provide leadership in data analytics, forecasting, metric design, and A/B testingExperience leading data-driven projects to solve complex business problemsKnowledge of statistics (e.g., hypothesis testing, designing experiments, predictive analytics, multivariate clustering)Performing advanced exploratory analysis that includes effects like cohorts, seasonality, derivatives of trends, and statistical testsHelping design metrics that have a high chance of producing measurable results
The data science role will closely partner with data engineering and analytics engineering to maximise their high-quality data for the role's core responsibilities. The role will also partner with other teams (marketing operations, finance, business operations, and the leadership team) to help them get a better understanding of their operational data. The data science role will occasionally need to work further upstream with engineering to understand how data is created within the production systems so their analytical understanding can align with the production environments. This role will have the opportunity to work with every department at Vercel to increase the quality and quantity of data decisions.
About You:
Data Scientists at Vercel should be comfortable using:
Data/BI tools to produce dashboards and reports (e.g., Snowflake, dbt, Preset)SQL for exploratory analysis and outcome-focused business decisionsUnderstand the experimental design process (e.g., tests of statistical significance, power analysis, descriptive and inferential statistics)At least one general-purpose programming language (Python, R, Julia, Golang)Asynchronous communication during project planning, documentation, and reportingKind, optimistic, and passionate about data at Vercel!
The role should be able to work with stakeholders to refine and convert their business requirements into reproducible data operations. You must be very comfortable with quantitative analysis, qualitative inferences, statistical measures, and statistical tests. Knowledge of machine learning is excellent but not a core requirement of this position. The data team expects to hire machine learning engineers in the future who will specialize in shipping predictive models into the production ecosystem.
Benefits:
Competitive compensation and stock optionsInclusive Healthcare PackageFlexible working style - 100% remote, with teammates located throughout the globeLearn and Grow - we provide mentorship and send you to events that help you build your network and skillsUnlimited PTO - 4 weeks recommended per year. Take time when you need it.We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.


Senior Data Scientist

Data Science is at the core of Nielsen’s business. Our team of researchers come from diverse disciplines and they drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world. We support all International Media clients and are located where our clients are.

ABOUT NIELSEN
Audience is everything! Nielsen is the global leader in mapping media ecosystems. With a footprint in 70 countries and 15,000 associates, we offer the world’s most complete measurement of everything people watch on all screens. We leverage the best data assets and modeling methods to build consistent and comparable metrics of viewing behavior. By connecting clients to audiences, we fuel the media industry with the most accurate understanding of what people listen to and watch. To discover what audiences love, we measure across all channels and platforms—from podcasts to streaming TV to social media. And when companies and advertisers are truly connected to their audiences, they can see the most important opportunities and accelerate growth.

ABOUT DATA SCIENCE
Data Science is at the core of Nielsen’s business. Our 500+ data scientists range from survey methodologists, experimental behaviorists, statisticians, machine-learning modelers, data engineers,and software developers. We drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world.

ABOUT YOU
You’re a visionary who can also execute--you see the possibilities, then create a plan and make it happen. You understand media measurement or are able to quickly pick up domain knowledge on the job. You write production-quality code and enjoy orchestrating your big-data solutions at scale. You’re able to shift gears quickly and adapt to changing circumstances. You also have the communication chops to translate it all into conversation or presentations, connecting strategic objectives to daily work. Seeing the big picture takes attention to detail. You know what’s happening in the data science world and you’re ready to influence what’s next.

ABOUT THE JOB

Our team builds methodologies that integrate Nielsen’s state-of-the-art data assets into cutting-edge audience measurement and planning products. The Senior Data Scientist will develop and producionalize data integration models for our content measurement for TV, digital, and radio platforms. Meetings are usually held during standard East Coast working hours; some flexibility may be required for international coordination.

QUALIFICATIONS:

Advanced degree in Statistics, Computer Science, Engineering, Physics or other STEM fields
Proficiency in Python, Spark, or Scala to develop sharable software with the appropriate technical documentation
Experience with enterprise data systems
Experience with cloud platforms.
Experience with Hadoop, Apache Spark, and other big data systems
Experience with Atlassian suite is a plus
Experience with statistical and machine-learning models
Experience with both designed and organic data
2 or more years work experience in data science
Excellent communication skills, ability to explain complex problems to technical and non-technical audiences

JOIN US!

Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You’ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work!


Bayesian Data Scientist

About the Team:
Data scientists at Ledger are critical to the success of the company. Our team specializes in modeling the behavior of casualty insurance risk portfolios. We analyze and predict the performance of every insurance program that seeks capital through us, and our analyses are critical in determining on what terms, if any, our investors are willing to offer capital for each program. In short, our math forms the ground truth that serves as the basis of negotiations for transactions with tens of millions of dollars at stake.
About the Position:
Our data science practice is deeply Bayesian. We are invested in quantifying and disclosing every source of uncertainty in our modeling – our investors care about our level of confidence in our results as much as the top-line results themselves. The domain we work in is rife with small, noisy datasets, and Bayesian hierarchical modeling techniques are typically quite beneficial. Many of the problems we are most interested in have received relatively little attention in the academic literature, and we have a robust agenda of potential model enhancements that will improve the state of the art in the industry and improve our company's bottom line.
If these problems sound fun and interesting, we'd love to have you on our team.
About You:
Successful candidates will have all of the following attributes:

Extensive knowledge of statistics, machine learning, and data science; MS or PhD in statistics or a related field preferred.
Demonstrated track record of applying and adapting Bayesian statistical methods to solve complex real-world problems.
Familiarity with hierarchical modeling, time-series/state-space methods, and/or distribution fitting.
Extensive experience with R, Python, Julia or other open-source languages with strong numerical computing ecosystems; willingness to learn Python.
Experience with Stan or another open-source tool for estimating Bayesian models via HMC; willingness to learn Stan.
Ability to work independently and communicate ideas effectively.

The following attributes will help you stand out from the crowd:

A track record of publications and/or presentations on Bayesian modeling topics.
Familiarity with version control, especially Git/GitHub.
Working knowledge of property & casualty insurance, particularly from an actuarial and/or underwriting perspective.

Benefits:

Generous salary and equity compensation
Work from anywhere (this position is full-time remote, as long as your working hours can overlap with US Eastern time for a couple hours per day)
Unlimited paid vacation time
401k
Medical, dental, and vision insurance
Gym membership
$5,000 paid by Ledger towards your dream desk setup!

Ledger Investing is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. We strictly prohibit and do not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, religion, creed, national origin or ancestry, ethnicity, sex, gender (including gender nonconformity and status as a transgender or transsexual individual), sexual orientation, marital status, age, physical or mental disability, citizenship, past, current or prospective service in the uniformed services, predisposing genetic characteristic, domestic violence victim status, arrest records, or any other characteristic protected under applicable federal, state or local law.


Senior Data Scientist Product

Clio is more than just a tech company–we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.
More than 150,000 legal professionals use Clio to run their legal practices. They come in all sizes, specializing in every field of law, and each one has unique needs. Clio solves many of their biggest problems out of the box, but every legal practice is different.
We are currently looking for a new Senior Data Scientist, Product, to join our Data Insights team and be embedded into one or more Product teams.
You thrive on both analytical challenges and working closely with product development and customer-facing professionals. You will collaborate with everyone from product managers to business leaders to designers and developers, and will guide rapid iterations of hypothesis, prioritization, experimentation / analysis and feature roll-out—helping to clarify what value our users want and need to thrive, and how well what we build meets those user needs.
The team:
Our Product Growth team is a cross-functional team dedicated to optimizing key product funnel metrics such as acquisition, activation, monetization, and virality. You will be working as an embedded data scientist on the Product Growth team, collaborating to guide rapid iterations of hypothesis, prioritization, experimentation, analysis and roll-out (supported by our Director of Data Insights and team of data scientists).
You may also support other Product teams, and will help build a scientific culture in our Product teams, help our business grow, and help our customers succeed.
Who you are:
We aren’t looking for just any traditional Data Scientist to join this team. We’re looking for someone who takes data seriously, thrives in a rapid-growth, high-velocity environment, and lives and breathes our values. We’re looking for an innovator and a thought leader! We’re looking for someone who is:

Passionate about driving growth empirically;
Always looking to innovate with data and explore open-ended questions;
Strategically minded and never shies away from a challenge;

Self-motivated and able to work autonomously and collaboratively;

Agile and responsive, and comfortable with constant change.

You will help lay the foundation for this work by ensuring good data quality, data governance, and analytical practices. And you will also be part of our larger Data Insights team for learning, career development, and company-wide data initiatives.
Here’s what you’ll need to do:

Collaborate with the Growth and Insights teams along with other Product teams to identify opportunities, develop hypotheses, and run experiments that drive growth.
Identify new questions about our business, product, and customers that lead to impactful insights.
Build predictive models to forecast the impact of specific growth and retention initiatives.
Establish requirements and best practices for event tracking, testing frameworks, and other data collection to enable new product insights in a scalable and predictable way.
Innovate new applications of statistical analysis, machine learning, and data mining to unlock opportunities in our products.
Build a scientific culture in the Product team by enabling discussions with data, disseminating best practices, and leading by example.

You should have:

4+ years applied experience in data science.
Have experience designing and iterating on experiments such as A/B tests.
Experience in product analytics working with product and user behavior data, including retention or churn analysis.
Proficiency in database modeling, SQL, and data warehousing principles.
Proficiency in developing analysis in Python (and optionally R).
Strong team player mindset, while able to work under your own initiative and prioritize time and tasks effectively.
Excellent written and verbal communication skills.

Serious bonus points if you have:

A deep understanding of SaaS business metrics and growth drivers.
Experience with large data sets and / or user interaction data.
Experience with SaaS companies and product growth teams.
An undergraduate or graduate degree in a relevant quantitative discipline (computing science, statistics, mathematics, etc.)
Developer and data architecture expertise

Where your team works:
Clio is “distributed by design”. This means that Clio offers employees more choice: the opportunity to work from one of our hub offices across Canada, remotely, or a combination of both. We have invested in best-in-class tools, technology, and culture to ensure our team members are able to do their best work whether they prefer to work from an office or remotely.
Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility
Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.
Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.
Learn more about our culture at clio.com/careers.
About Clio
At Clio, we are on a mission to transform the legal experience for all. As the world's leading provider of cloud-based legal software, we provide lawyers with low-barrier, affordable solutions to manage and grow their firms more effectively, more profitably, and with better client experiences. Through the cloud, we believe that we can help create a more inclusive legal community and a more equitable legal system.  We are an award-winning team that has been recognized as one of Canada’s Best Managed Companies, Canada’s Most Admired Cultures and has topped Fast Company’s list of Most Innovative Companies. In line with our mission, we’ve been up to some big things, including becoming a multi-product company, launching a $1 million COVID-19 Legal Relief Initiative, and most recently, securing a US$110M Series E funding round and a USD $1.6B valuation.This is a historic moment in the growth of legal technology! As the first legal practice management unicorn globally, and one of only a handful of Canadian unicorns, this is only the beginning. If you’ve ever wanted to do the best work of your career, while having a meaningful impact in the lives of others, then Clio is the place for you.


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 performance forecasting and 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, with an emphasis on time series and categorization models.
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 in the deployment of Forecasting models (ARIMA, LSTM, …).
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.


Data Scientist

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

The Data Scientist is part of Welocalize’s Analytics Solutions team, reports to the Data Analytics/BI Leader, and works closely with the head of Data Strategy & Operations. The purpose of this important role is to add advanced Data Science & Machine Learning expertise to the data analytics/BI function, in order to enable the organization to take full advantage of the robust and extensive data ecosystem developed over the past five years; and to help the lead the organization in converting these data assets into improved performance and business value.

This role requires advanced technical competency—robust “hard skills”—but also practical business acumen and an aptitude for direct engagement with business stakeholders. This individual’s most important objectives will require them to develop a working understanding of the way the business works, what the key stakeholders do, and what their objectives are—and use that knowledge to inform the way that the individual’s technical capabilities are utilized.

Responsibilities

Provide the necessary machine learning/data science expertise, and collaborate with data analysts and data engineers, so that the Analytics Solutions team can:
Construct, support, and continuously refine our BI data systems;
Deploy analytical approaches and tools to support business stakeholders with cutting edge business intelligence and data visualizations;
Leverage the organization’s data assets to develop, maintain, and support the implementation of predictive models that improve business performance in areas such as on-time delivery (OTD), quality performance, and other TBD items.
Maintain familiarity and stay up-to-date on state-of-the-art machine learning/data science approaches applicable to the role.
Engage directly with business stakeholders across the organization to cultivate a working knowledge and familiarity with the realities of the business, problems to be solved, and opportunities to add value through data; leverage this knowledge to help the team turn analytical models into practical, value-added solutions.
Collaborate with product & development teams when and as appropriate to facilitate the deployment of predictive models into business-facing work surfaces and systems.
Contribute expertise, problem-solving capability, thought leadership, and supplementary bandwidth to ongoing efforts of the Analytics Solutions team, including the maintenance and ongoing development of Data Warehouse, its connection to various other data systems & assets, and ensuring the responsiveness of our BI reporting systems to the evolving needs of the business.
Apply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning; discerning where simple analytics solutions (e.g. a quick visualization) are preferable to complex solutions (e.g. machine learning).
Become proficient in, and compliant with team requirements around the intake and documentation of various initiatives and progress within existing product management platforms (e.g., Jira).

Experience

Education: MSc or PhD in Machine Learning, Data Science or similar discipline with robust statistical, data analysis, and machine learning competency (or equivalent experience)
Hands-on experience working with directly with stakeholders in a business environment to provide data analytics support, create & present data visualizations, and devise ways to leverage various complex sources of data to generate actionable business insight.
Mastery of common data science tools such as Python or R (and related code libraries), and experience using them to design and build predictive models for use in real-life business applications leveraging proprietary business datasets, to achieve defined performance improvement objectives.
Preferred: a track record of deploying such models to end users; training users on how to interpret the outputs of the models and applying them to their regular business processes; and modifying/improving models over time to adapt to changing business needs.


Data Science Internship Winter

Wealthsimple is on a mission to help everyone achieve financial freedom, no matter who they are or how much they have. Using smart technology, Wealthsimple takes financial services that are often confusing, opaque and expensive and makes them simple, transparent, and low-cost.

As our team is reimagining what it means to manage your money, Wealthsimple interns are able to be at the forefront of Canada's leading digital financial products and work with smart, high-performing team members who will challenge you to learn and grow every day. We value great work and great ideas — not ego. We're looking for people who love a fast-paced environment and want to ship often and make an impact with groundbreaking ideas.

Internships @ Wealthsimple
At Wealthsimple, we offer 4 to 12-month internships that are open to co-op and non-co-op students, recent grads, and career changers. During your remote-first internship, you will be able to contribute to projects that are changing the landscape of financial services for Canadians. You will be on a team that supports your growth and provides mentorship while also connecting to the broader Wealthsimple community!

Data Science @ Wealthsimple
The Data Science & Engineering (DSE) team consists of data scientists and software engineers with diverse educational backgrounds such as math, operations research, economics, computer science, engineering and business. The team is responsible for enabling data-driven decision-making and building data products at Wealthsimple. We achieve these goals by:
- Building a high quality and scalable state-of-the-art data warehouse that powers all decision making
- Leveraging machine learning and algorithms to help Wealthsimple build smarter financial products
- Using decision science to understand the cause and effect of our business decisions

What you can expect from the interview process:

First Interview: 30-minute technical interview (in your language of choice) with two interviewers.

Second Interview: 45-minute Interview with a Hiring Manager where you will be walking through a project review and also find out more about your potential team.

Last Stage: Offer! 🎉

Interns @ Wealthsimple are completely integrated into the teams they join and get to work on meaningful projects during their time with us! For Winter 2023, we're looking to add Data scientists across our times! Throughout the interview process, we’ll learn more about your skills and interests to match you with the right team at Wealthsimple 🙌

Applications are due September 19th, 5pm.

We're looking for people who:

Are driven to ship frequently
Take ownership in working on projects to successful completion
Enjoy tackling new, complex challenges on a regular basis
Are comfortable with self-directed learning
Believe that debate, inclusivity and transparency result in better products
Are eager to learn from your team and others. We value making one another successful!

Things you should know about our tech before applying:

Familiarity with Python, SQL
Basic understanding of statistics: either frequentist and Bayesian approaches
Basic understanding of fundamental machine-learning algorithms: regression and decision trees
First-hand experience working with popular Python libraries such as Pandas, scikt-learn, numpy and Jupyter
Excellent communicator

We’re a remote-first team and output is more important than face time, so where you choose to work is up to you — as long as you have internet access, you can work from anywhere in Canada. Be a part of our Canadian success story and help shape the financial future of millions — join us! Read our Culture Manual and learn more about how we work.

At Wealthsimple, we embrace difference. We believe that getting to the best outcomes requires diverse perspectives and backgrounds. We create space where all voices can be heard so that we can all do our life's best work. We’re committed to openness, curiosity and creating an inclusive culture as we know that diverse teams build better products and generate better ideas. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Wealthsimple provides an accessible candidate experience.

If you need any accommodations or adjustments throughout the interview process and beyond, please let us know.


Senior Data Scientist Product Growth

About the job

We’re looking for a Senior Data Analyst to join the Super App team to help analyze the impact and set direction for features used by millions of users every week.

Our team is focused on accelerating Hopper’s user growth, which until now has been primarily through high-volume paid advertising. Now, we’re looking to build new products in our app that will help us activate, acquire, retain, and convert new users at scale. Overall, our goal is to pair Hopper’s world-class travel marketplace with the growth and retention mechanisms inspired by mobile games, super-apps, and category-leading retailers.

The ideal candidate is excited about empowering teams with actionable data, comfortable breaking down large unstructured problems, and able to apply deep analytics skills to help steer direction, inform strategy, accelerate Hopper’s growth and ultimately provide a better experience for our customers. This is an opportunity where you will have a massive impact on the definition and evolution of the business.

Responsibilities

Develop metrics and frameworks to measure the impact of product experiments and discounting spend on revenue and gross profit
Become an expert on the wide range of products we are building to be able to to synthesize analyses and build dashboards that identify and drive new growth opportunities
Deeply understand the key levers for growth marketing spend at Hopper to inform nine-figure budgeting decisions
Partner closely with cross-functional stakeholders, including Product Managers, Engineers, Designers, Data Engineers and others across the team

Minimum Qualifications

3 to 4+ years of relevant work experience
Background in LTV analysis and cohort modeling
Strong analytical and creative problem-solving skills
Strong background in relational databases and SQL
Advanced ability to draw insights from large datasets and clearly communicate them to the stakeholders and senior management as required, both verbally and written
Proven ability to communicate complex technical work to a non-technical audience
Enthusiasm and curiosity for conducting research and answering hard questions with data
The ability to work with minimal guidance, be proactive, handle ambiguity, and the challenge of quickly evolving goals

Preferred Qualifications

Experience working on super-apps, in e-commerce, or in mobile gaming
Experience using Amplitude, BigQuery
Exposure to scripting with Python

MORE ABOUT HOPPER

Despite the pandemic’s impact on the travel industry, Hopper has emerged stronger than ever. As the travel industry continues to rebound, Hopper has demonstrated significant outperformance with its category-leading mobile-only marketplace, delivering value to customers and supply partners with the company’s proprietary suite of fintech offerings.

Here are just a few stats that demonstrate the company’s recent growth:

- Hopper’s valuation is now over $5B, which is more than triple our valuation from early 2020.

- The company grew its revenue by more than 300% YoY in 2021. Hopper’s monthly revenues are now 375% higher than its pre-pandemic high point and Hopper Cloud, Hopper’s new B2B initiative, is already 15% of its revenues and growing.

- According to Apptopia, Hopper was the #1 most downloaded OTA in the US in 2021. The app has over 70 million downloads.

- Hopper’s recovery is faster than the market and its share of the air travel market in North America is now 300% higher than prior to the pandemic, according to MIDT. We are now the 3rd largest air travel agency in North America.

- The company sells over $2B in travel and travel related financial services annually.

-  Hopper’s fintech offerings, such as Price Freeze and Rebooking Guarantee, now represent over 70% of its air revenue.

- Given the success of its travel fintech, Hopper recently launched a B2B initiative called Hopper Cloud, where any travel provider can unlock a totally unique revenue stream by seamlessly integrating and offering Hopper’s travel content and fintech products. Hopper Cloud partners include Capital One, Kayak, Marriott, Amadeus, Trip.com, and MakeMyTrip.

The industry opportunity for Hopper Cloud is enormous as projections estimate that if all travel distribution channels offered travel fintech, it could increase the total consumer spend for the sector by $200 billion annually.

And all this recent growth is just the beginning. There are still so many new opportunities we’re excited to tackle in the next year!


Data Scientist

We are looking for problem solvers with mastery in analytics, statistics and machine learning to join the fully remote Data Science team at Varsity Tutors. This team partners with product and engineering to discover insights and develop algorithmic solutions that support personalization at scale.
The qualified Data Scientist will hold an advanced quantitative degree with experience building forecasting systems, recommender models, or ranking algorithms. The candidate is expected to be comfortable developing prototypes that can be productized by engineering to develop real-time systems. Candidates must be comfortable with pushing through ambiguity and passionate about solving problems at scale and with speed.
About Nerdy:
Nerdy (NYSE: NRDY), the parent company of Varsity Tutors, is a leading platform for live online learning, with a mission to transform the way people learn through technology. The Company’s purpose-built proprietary platform leverages technology, including AI, to connect learners of all ages to experts, delivering superior value on both sides of the network. Nerdy’s comprehensive learning destination provides learning experiences across 3,000+ subjects and multiple formats—including one-on-one instruction, small group classes, large format group classes, and adaptive self-study. Nerdy’s flagship business, Varsity Tutors, is one of the nation’s largest platforms for live online tutoring and classes. Its solutions are available directly to students and consumers, as well as through schools and other institutions. Learn more about Nerdy at https://www.nerdy.com/.
Qualifications:

M.S. degree in a quantitative discipline (e.g. Mathematics, Statistics, Machine Learning, Econometrics).
3+ years of professional data science experience
Applied skills in the areas of statistical inference, probability, machine learning (unsupervised and supervised).
Previous experience with production models, i.e. post-deployment responsibility
Ability to develop ML or statistical analyses software in R or Python
Experience with building recommender systems and implementation with a breadth of matching algorithms is a plus.
Experience with Bayesian reasoning, Natural Language Processing, classification, ranking systems is a plus.
Relentlessly curious and strong bias for action.
Great communication skills

Responsibilities:

Develop algorithmic systems to enable personalization for our consultative sales organization.
Partner with operations and engineering to identify impactful problems, and turn business goals into objective functions.
Design experiments to rapidly establish causal relationships.
Drive initiatives from conception to production with measurable impact to the business.
Define creative services to thorny problems using mathematical algorithms

Varsity Tutors Leadership Principles
Relentless Focus on Customers * Comfort with Ambiguity * Ownership * Simplify * Intellectual Curiosity * Build Teams * Think Big * Insist on High Standards * Bias for Action * Build Trust * Go Deep * Have Conviction * Deliver Results * Are Right, a Lot
Benefits/Culture:

Competitive Salary plus Equity in the company
Healthcare Plans (Medical, Dental, Vision, Life)
401k Company Matching Plan
Remote Position, fully work from home anywhere in the U.S.
Flexible PTO
Paid VTO ("volunteer time off" to do community service/charity work)
52 hours of Free Learning Sessions per year for you or immediate families members and free access to our online classes
Once in a lifetime opportunity to help revolutionize how the world learns!
Fun, collaborative, and team-oriented work environment with plenty of training and a feedback-rich culture

Varsity Tutors is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. (INDHP)


Director Data Science Customer Analytics

Overview
Owned by three of the world's leading private equity firms, Silver Lake, General Atlantic and Insight Partners, A Place for Mom is a mission driven, rapidly growing technology company.  We connect families searching for senior care services with a team of experienced advisors across the country to help them find the best care for their loved one.  As the leader in senior care advisory, our mission is to be a trusted destination for families and our community customers as we support more than 300,000 families every year in finding the right community for them.
Through our differentiated technology platform, data-driven approach and commitment to our customers, we are transforming the experience of working with A Place for Mom in order to provide more personalized, insightful experiences to both the families and communities we work with.
Living by our values and working to achieve excellence on behalf of our customers is integral to success at A Place for Mom. Employees who thrive at A Place for Mom live our values every day and are an important part of our hiring practices:
Focus on ExcellenceAct with Integrity & Assume Positive IntentDrive Outcomes Every Day with Passion and A Sense of MissionMake the Lives of our Families and Customers Better, Easier and More SuccessfulRealize the Full Potential in Each Team Member.Work as a Single Supportive Team
COMPANY LEADERS
Tatyana Zlotsky – Chief Marketing Officer & Head of OperationsTatyana is a visionary and entrepreneurial digital marketing executive, brand builder, and industry thought leader with experience in driving transformational change and redefining user experiences for Fortune 100 companies and start-ups. She has a reputation for championing the art and science of marketing - from strategic branding and creative development to data and technology - translating high brand value into tangible revenue generating activities.
Alice Park – VP, Data & Analytics
Alice is an executive with broad experience building and managing successful data- and analytics-driven teams, strategies and capabilities that enhance customer experiences, drive revenue and enable growth.  Alice joined us from American Express where she, most recently, led the global commercial marketing data capabilities and platform product team. But over her Amex career, has led teams across risk management, rewards & benefits analytics, marketing analytics, and data monetization product development for consumer and B2B portfolios.  Alice has also held positions as Chief of Operations & Product at Archie Group, where she led development of operational strategies, strategic partnerships, and data-driven product suites, and Head of Data Products and Analytics at BDIPlus, where she led advanced analytical solutions and data monetization strategies for clients.
THE POSITION
The Director, Data Science & Customer Analytics role, will report into the VP of Data & Analytics and will be a key senior leader in transforming data & analytics into an enabler for A Place for Mom.  This role will be responsible for developing, standing up and scaling in-market, key initiatives including top-of-funnel lead scoring applications, enhanced treatment and customer nurture strategies, and other use cases that drive increased conversions and valuable family experiences.  This person will also conduct in-depth analysis to understand impact of initiatives, refine model performance and identify additional opportunities for growth.  This person will also develop a high performing, outcome oriented team of diverse talent and is expected to work with complex enterprise-level datasets in a hands-on capacity as needed.
Who you are:
The ideal candidate is passionate about using data and science to solve complex business problems and has a track record of developing and bringing winning data monetization strategies to market.  You can mobilize cross-functionally, are able to communicate clearly at all levels, and are skilled at driving teams towards growth oriented goals.  You are comfortable, confident and energized operating in a rapidly changing and environment.  You are an inspirational, compassionate, and experienced people leader.  And importantly, you are passionate about the families and communities we serve.
Responsibilities
Build, manage, and develop a high performing team of analysts who are highly engagedCollaborate with key business partners to develop, stand-up and scale, in-market, key data-driven initiatives top-of-funnel including lead scoring applications, enhanced treatment and customer nurture strategies, and other use cases that drive increased conversions and valuable family experiencesLeverage 1st party and 3rd party data to build predictive machine learning models and conduct analytics to evaluate, qualify, prioritize and determine treatment for leads at the top-of-the sales funnelOwn, enhance, and monitor the end-to-end scoring engine capability; including working with product & engineering teams to ensure model build & performance in the production environment, integrations with data sources, the customer journey & sales/CRM systems, enabling testing capabilities, and defining data requirementsConduct in-depth analysis to understand impact of initiatives, refine model performance and identify additional opportunities to increase conversion rate and accelerate growth Design, implement and interpret test and learn experimentsImplement robust testing and KPI framework to measure performance and identify opportunities to drive outcomes at profitable economics
Qualifications
Experience building successful teams and effectively managing and coaching analytical talentTrack record of solving analytical problems creatively, bringing them to market with clear outcomes, and a strong sense of accountabilityAbility to effectively communicate analytical insights to a non-technical audience; experience communicating with the C-suite and internal/external partnersDeep knowledge of statistics5+ years experience in a hands-on analytics role and 3+ years experience in a leadership role developing relevant strategies or consultingAdvanced degree in a quantitative field such as Statistics, Computer Science, Engineering, or Operations Research, or MBA with quantitative undergrad degreeExpert SQL and Python, strong proficiency in R; Experience with ML frameworksExperience with Databricks, Tableau, Amplitude, Google Analytics
#LI-REMOTE
#LI-AR1


Manager Data Scientist

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI.  We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.   As a Lead Data Scientist you will lead the design and analysis of our Media Mix Modeling Team.  You will join our multi-functional Optimization team comprised of Data Scientists, Software Engineers, and Data Engineers.  You will be responsible for delivering insights about a major CPG marketing efforts. We lead and support analyses across Channel Digital, offline marketing, email marketing, social media, and paid media. You will also uncover high-impact optimization opportunities, craft compelling A/B test proposals, and analyze experiment results. If you’re passionate about the intersection between marketing, data science, and experimentation, we encourage you to apKey Responsibilities Core responsibilities cover three pillars:   DIGITAL ANALYTICS:  Lead a select number of strategic analyses to provide teams and leaders with concrete insights regarding opportunities to improve Effectiveness, ROIs, and conversion.  EXPERIMENT ANALYSIS: Design experiments, analyze results, develop insights, and summarize recommendations.  Work closely with the A/B Test Platform Engineering Team to ensure the analytics implementation suits our needs.  RESEARCH & DEVELOPMENT: Partner with Data Scientists across Markets, Retail, and Operations on projects to increase the sophistication of our ROI program and deliver deeper insights about marketing performance.  Productization: Maintain code which can be productise and packaged as python packages in any cloud environment.  Provide thought leadership to provide MLOps framwork and DevOps suite to run model in production.  8+ years of Data Science and Machine Learning experience required Expertise with experimentation and statistical hypothesis testing (e.g. sample size determination / power analysis, statistical tests, confidence intervals, etc).  Build predictive causal inferencing models (e.g. bayesian filters, kalman filters) for state space models. Good communication and presentation skills with the ability to communicate analyses to a diverse group of partners including data scientists, stakeholders, and marketing leaders.  Outstanding digital analytics experience with the ability to derive insights from multiple quantitative and qualitative data sources.  Strong data querying skills (SQL) and experience with a OOPs framework language (Python).  Excellent time leadership skills and ability to lead multiple A/B testing projects in various stages of development.  Great teammate who enjoys collaborating with others.  BENEFICIAL BUT NOT REQUIRED  Experience with econometrics and quasi-experiments. Experience with predictive analytics and ML algorithms such as regression, decision trees, clustering, and neural nets. Experience in optimization algorithms to determine best budget allocation This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.


Machine Learning Scientist

Numbrs develops and provides an industry-leading, highly secure storage solution for digital currencies and aims to develop global wealth preservation for the 21st century. By constantly challenging the status quo we are able to exceed our clients’ expectations while maintaining a unique company culture.
Numbrs is a Swiss company controlled by Swiss shareholders, adhering to the Swiss standards of privacy, neutrality and stability. We are looking for world-class talents with the desire and ability to build and share expertise in the frontier technologies of crypto and blockchain.
The Role
We are seeking an experienced, dedicated, and well-organized Machine Learning Scientist to join our remote engineering team. This position will require someone who is adaptable in a changing environment and who is passionate about delivering high quality results in a fast-paced environment.
You will be a part of the Data Science team responsible for designing, developing and supporting big data-driven predictive models using the latest technologies in machine learning, user pattern recognition, and data modelling.The team is responsible to gain new insights which result in the development of product’s features to improve user engagement and experience.
About you
You find large challenges exciting and enjoy discovering problems as much as solving them.You can thrive in a fast-paced environment where attention to detail, excellent communication skills, and a talent for delivering out-of-the-box ideas are essentialYou deliver. You may enjoy thoughtful conversations about problems and perfecting designs, but in the end, you know that what matters is delivering a solution that works every time.Resourceful, flexible and adaptable; no task is too big or too small.
Key Qualifications
University degree in Physics, Mathematics, Statistics, or related disciplineA minimum of 5 years of professional experience in AIProficiency in data mining, mathematics, and statistical analysisAdvanced pattern recognition and predictive modeling experienceStrong knowledge in Machine Learning areas such as Neural Networks, Reinforcement Learning, and NLPKnowledge of Big Data technologies such as Kafka, Spark, and CassandraFluent in a programming languageComfort working in a dynamic, research-oriented team with several ongoing concurrent projectsExcellent troubleshooting and creative problem-solving abilitiesExcellent written and oral communication in English and interpersonal skills
What we offer
An opportunity to work on the most exciting challenges in the crypto industryCollaboration with some of the smartest and the most talented experts in technologyGrowth potential. We rapidly advance team members who have an outsized impactFully remote company, at which every person is free to live and work wherever they want


Senior Data Scientist Meteorology

About Sunairio
As the world transitions to renewable energy, the global economy will become more dependent on weather than at any point since the Industrial Revolution. And due to climate change, the weather that our future economy is tied to will be drastically different from the weather we’ve historically experienced. This means that managing weather-based risk, and weather-based variability is the number #1 challenge facing the energy grid.
Sunairio’s mission is to disrupt weather prediction as we know it to build the most advanced platform for valuing, managing, and operating renewable energy. Instead of relying on physics-based weather models that are bias-prone and slow, we use machine learning and advanced statistics to generate high-fidelity simulations of future weather risk–and we do this on multi-year timescales at hourly (or less) resolution. We work with renewable energy project developers, storage operators, energy buyers, energy suppliers, portfolio managers, traders, and utilities to deliver actionable insights into the hardest energy problems.
The founders of Sunairio have decades of experience building decision models to anticipate weather risk in energy markets, and we’re now seeking exceptional, intrepid, and entrepreneurial-inclined people to form the core of our technical team. This core team will be responsible for laying the building blocks of a world-class back-end architecture and user interface that elevates Sunairio from a revolutionary algorithm to an industry-defining technology.
What we offer:
The opportunity to join an industry-disrupting startup on the ground floor–with significant equity compensationThe focus to work on innovative solutions to problems of critical importanceA truly collaborative team environmentThe ability to help shape company cultureAmazing swagCompetitive salary
Key Responsibilities
The Senior Data Scientist for Meteorology will work closely with the engineering team and the CEO to maintain, validate, and update the core Sunairio weather simulation technologyApply insights from atmospheric science to inform model developmentPerform independent research into climate trendsDesign and develop data visualizations that convey nuance and uncertainty in an actionable mannerRun hybrid machine learning/statistical modelsDevelop clear and succinct descriptions of modeling processes and outputs for use in business development and in customer applicationsCollaborate with the engineering team to develop a world-class user experience
What we’re looking for
Passion for building a new solution to weather prediction problems that applies machine learning and statistical methods instead of pure physics5+ years of experience in quantitative meteorology, numerical weather prediction, or climate researchExpertise with the leading short-range and medium-range NWP models (NAM, HRRR, GFS, ECMWF)Expertise in climate reanalysis and regional & global climate modeling methodsExperience with stochastic modeling and time series forecastingExperience with the Python scientific computing environment (Pandas/Numpy/SciPy/Xarray)Advanced Degree (MS/PhD) in Atmospheric Science, Meteorology, Physics, or related fieldA creative problem-solver with outstanding communication skills and a commitment to technical excellenceIntellectual curiosity
Equal Opportunity Employer
Sunairio is an equal opportunity employer that does not discriminate on the basis of race, color, religion, sex, national origin, disability, veteran status, marital status, age, sexual orientation, gender identity, or any other legally protected status. We are committed to a diverse workforce and an inclusive workplace environment.


Senior Data Scientist Electricity Markets

About Sunairio
As the world transitions to renewable energy, the global economy will become more dependent on weather than at any point since the Industrial Revolution. And due to climate change, the weather that our future economy is tied to will be drastically different from the weather we’ve historically experienced. This means that managing weather-based risk, and weather-based variability is the number #1 challenge facing the energy grid.
Sunairio’s mission is to disrupt weather prediction as we know it to build the most advanced platform for valuing, managing, and operating renewable energy. Instead of relying on physics-based weather models that are bias-prone and slow, we use machine learning and advanced statistics to generate high-fidelity simulations of future weather risk–and we do this on multi-year timescales at hourly (or less) resolution. We work with renewable energy project developers, storage operators, energy buyers, energy suppliers, portfolio managers, traders, and utilities to deliver actionable insights into the hardest energy problems.
The founders of Sunairio have decades of experience building decision models to anticipate weather risk in energy markets, and we’re now seeking exceptional, intrepid, and entrepreneurial-inclined people to form the core of our technical team. This core team will be responsible for laying the building blocks of a world-class back-end architecture and user interface that elevates Sunairio from a revolutionary algorithm to an industry-defining technology.
What we offer:
The opportunity to join an industry-disrupting startup on the ground floor–with significant equity compensationThe focus to work on innovative solutions to problems of critical importanceA truly collaborative team environmentThe ability to help shape company cultureAmazing swagCompetitive salary
Key Responsibilities
The Senior Data Scientist for Electricity Markets will be responsible for overseeing the development and implementation of energy market fundamental and pricing models in multiple markets across North AmericaDesign and develop data visualizations that convey nuance and uncertainty in an actionable mannerRun hybrid machine learning/statistical modelsDevelop clear and succinct descriptions of modeling processes and outputs for use in business development and in customer applicationsCollaborate with the engineering team to develop a world-class user experience
What we’re looking for
Passion for building a new solution to energy price modeling problems that doesn’t rely on traditional dispatch cost methods5+ years of experience in quantitative analytics roles in North American power marketsKnowledge of regional market structures, design, policies, and regulationsKnowledge of recent trends in renewables, distributed energy resources, energy storage, and conventional electricity generationExperience with statistical forecasting models, machine learning, and time series modelingExperience with the Python scientific computing environment (Pandas/Numpy/SciPy/Xarray)Degree (M.S. preferred) in Economics, Finance, Computer Science, Physics, Mathematics, an engineering discipline, or related fieldA creative problem-solver with outstanding communication skills and a commitment to technical excellenceIntellectual curiosity
Equal Opportunity Employer
Sunairio is an equal opportunity employer that does not discriminate on the basis of race, color, religion, sex, national origin, disability, veteran status, marital status, age, sexual orientation, gender identity, or any other legally protected status. We are committed to a diverse workforce and an inclusive workplace environment.


Senior Data Scientist

As a Senior Data Scientist at Mighty, you will be establishing our analytics function. Data plays a crucial role in Mighty’s opportunity to reshape the personal injury industry, and we have a unique and vast data set to leverage. You will be expected to drive strategic conversations with stakeholders about what we should measure and why as well as what decisions we should make and why. This role can be based our of our offices in New York, NY, Atlanta, GA, or be fully remote (US Only).
Your Mandate

Identify any and all opportunities to better leverage data to inform strategy.
Build and maintain core reporting for the company.
Deliver analyses needed to make better decisions in marketing, product development, and business strategy.
Set the foundation for a scaled data operation with more (future) specialization in each domain (e.g. marketing).
Own our data stack. We are currently using Fivetran for ingestion, dbt for Transformations, and BigQuery as our data warehouse; and we are open to trying new things. The most important component of the stack that we expect for you to own and lead is the transformation layer as it serves a foundational role in the architecture of our analytical capabilities.

Your Experience

4+ years working with business and product data to inform decision-making
A deep interest in how our business works, how decisions get made, and how data could help improve the quality of those decisions

Experience using the tools and techniques of “modern data stacks”

Dashboarding and business intelligence (e.g. Looker, Tableau, Mode, etc.)
Data warehousing (e.g. BigQuery, Snowflake, RedShift, etc.)

Transformation and modeling (e.g. dbt)

Fluency in SQL
Ideally you have comfort with at least one programming language such as Python or R

Onboarding Plan

In the first 30 days you will learn our business and how we work. You will familiarize yourself with our data sets and our data stack.
In the first 60 days you will dive into discovery with stakeholders to begin to identify key metrics. Also, in this period, you will take ownership of our data stack and begin committing code in dbt as well as extending existing dashboards.
In the first 90 days you will have a long term vision and plan for how to leverage data at Mighty.

Hiring Process
The hiring process is a two way street! We want to find someone for whom Mighty is the perfect fit. Please ask us lots of questions to ensure you are learning what you need to learn about us. Here is an overview of how and what we will be assessing throughout the process:

A conversation with hiring manager, VP of Engineering, Aaron Gibralter.

A simple take home test to assess basic technical skills.
A conversation with our recruiting team to go over some basic HR questions.

A conversation with Andrew Bartholomew, who is advising us on building out our analytics function.

“On-site”

A case study interview to assess data exploration and visualization.
A data modeling and programming interview with an engineer.
A stakeholder alignment interview to assess cross-functional communication.

A conversation with our founder, Josh Schwadron.

Please note: we have this role posted under a few different titles as there is not universal alignment on titles in the data world. In the interest of transparency, here is how we think about the nuances of titles with regard to this role:

Analytics Engineer: this best captures a need for technical rigor; however, it may not clearly stress the importance of finding someone with a very strong business sense.
Data Analyst: this is perhaps the most “accurate,” but it may not articulate the technical requirements; we also fear there may be a stigma against this title as “data scientist” may appeal to more people.
Data Scientist: this is most likely resonant with the market, but will likely generate the most noise as it has become a pretty large bucket of different skills and interests.

This article, written by Andrew Bartholomew, summarizes how we are thinking about this role.


Senior Data Scientist

Who we are

Founded in 2013, Thistle is an early-stage food-tech startup empowering our customers to get and stay healthy while improving our food system’s sustainability. We deliver delicious, organic, healthy, plant-forward meals, cold-pressed juices, and snacks to customers on the West Coast at the elusive intersection of convenience, health, and sustainability.

We don't want to be just another food delivery startup.  Our focus is on our customers' health and happiness, and we are revolutionizing how fresh, nutritious, high-quality food is purchased, manufactured, and delivered at scale.  Thistle is headquartered in San Francisco, and we are backed by some amazing investors in the Bay Area and beyond.  We are excited to build a remote Data team.  Candidates should be located within California, Oregon, Washington, Nevada, Arizona, Tennessee, or Maine.

About the Role

Thistle is looking for a passionate Senior Data Scientist to drive decision-making through data. This position will have the opportunity to collaborate with a multi-disciplinary team on a wide array of problems, bringing scientific rigor and statistical methods to the challenges of product development, customer acquisition, operations forecasting, and more.

Questions you might work on include

How can we optimize ingredient forecasting models to drive efficiency and reduce food waste?
How can we leverage meal feedback data to deliver personalized recommendations that delight customers?
Which marketing channels most efficiently drive new customer acquisition? Where can we best allocate spend?
What are the key measures of business health? How can we monitor performance and detect anomalies?

What you'll do

Build a data-driven decision culture throughout the company: empower teams to use data daily while partnering on the most important initiatives.
Develop and deploy machine learning/statistical models to improve the customer experience and drive long-term business health.
Design, analyze, and evaluate experiments. Determine appropriate decision criteria, and communicate results effectively to stakeholders across the company.
Contribute to Thistle’s data model, including defining appropriate dimensions, creating data pipelines, and developing appropriate processes to ensure data quality.

What you'll bring

3+ years of hands-on data science experience
Bachelors/Masters/Ph.D. in a quantitative discipline or equivalent practical experience
Strong statistical knowledge and intuition, including causal inference, experimentation, and statistical modeling
Proficiency in 1+ programming languages (e.g. R, Python)
Excellent business + product acumen, especially the ability to translate key business questions into an impactful analysis
Solid SQL and data visualization skills
A passion for our mission: to make it easy for everyone to get and stay healthy while improving the sustainability of our food system

Life at Thistle

Join a kind, diverse, passionate & driven team of all backgrounds
Enjoy Thistle meals at a substantial discount!
Team-building and Frequent Wellness Events
Comprehensive health benefits (medical, dental, vision)
Flexible time off policy and generous parental leave
Choice of PC or Apple equipment

We understand that everyone is going to have strengths and weaknesses with regard to different aspects of this role. We encourage you to apply even if you feel some of the expectations would be challenging to meet!

Diversity, equity, and inclusion are essential values at Thistle. We know we'll do our best and most impactful work when we feel we're represented and we belong. We're proud to actively recruit and hire talented people from a wide variety of backgrounds and experiences. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.  You can get some deeper insight into how we approach DEI, along with some statistics on the internal demographics of the company and leadership team, here: https://www.thistle.co/learn/thistle-thoughts/thistle-on-diversity-equity-and-inclusion.


Customer Transformation Data Scientist Senior Associate

Job Category Data and Analytics Technology
 Level Senior Associate  Specialty/Competency  Customer  Industry/Sector FS X-Sector  Job Type Regular  Time Type  Full time
 Travel Requirements Up to 60%

 Job ID 256954WD
            Location(s) NY-New York | NC-Raleigh | NC-Charlotte | IL-Chicago | OH-Cincinnati | OH-Cleveland | SC-Columbia | OH-Columbus | TX-Dallas | VA-Richmond | MD-Baltimore | NY-Rochester | IL-Rosemont | MA-Boston | CA-Sacramento | MO-St. Louis | UT-Salt Lake City | TX-San Antonio | CA-San Diego | CA-San Francisco | CA-San Jose | WA-Seattle | SC-Spartanburg | AR-Springdale | CT-Stamford | FL-Tampa | GA-Atlanta | OH-Toledo | OK-Tulsa | TX-Austin | DC-Washington | CO-Denver | IA-Des Moines | MI-Detroit | NY-Buffalo | NJ-Florham Park | TX-Fort Worth | FL-Sarasota | NC-Greensboro | FL-Hallandale Beach | PA-Harrisburg | CT-Hartford | TX-Houston | IN-Indianapolis | MI-Grand Rapids | CA-Irvine | NE-Omaha | FL-Jacksonville | MO-Kansas City | NV-Las Vegas | AR-Little Rock | CA-Los Angeles | KY-Louisville | AL-Birmingham | US-Remote | NY-Melville | WI-Milwaukee | MN-Minneapolis | VT-Montpelier | TN-Nashville | LA-New Orleans | OK-Oklahoma City | FL-Orlando | PA-Philadelphia | AZ-Phoenix | PA-Pittsburgh | OR-Portland
A career in our Analytics Technology practice will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. You’ll make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
Our team helps clients navigate various analytics applications to get the most value out of their technology investment and foster confidence in their business intelligence. As part of our team, you’ll help our clients implement enterprise content and data management applications that improve operational effectiveness and provide impactful data analytics and insights.
To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.
As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:
Use feedback and reflection to develop self awareness, personal strengths and address development areas.Delegate to others to provide stretch opportunities, coaching them to deliver results.Demonstrate critical thinking and the ability to bring order to unstructured problems.Use a broad range of tools and techniques to extract insights from current industry or sector trends.Review your work and that of others for quality, accuracy and relevance.Know how and when to use tools available for a given situation and can explain the reasons for this choice.Seek and embrace opportunities which give exposure to different situations, environments and perspectives.Use straightforward communication, in a structured way, when influencing and connecting with others.Able to read situations and modify behavior to build quality relationships.Uphold the firm's code of ethics and business conduct.
Job Requirements and Preferences:
Basic Qualifications:
Minimum Degree Required:Bachelor Degree
Required Fields of Study:Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Engineering, Operations Management/Research, Statistics
Additional Educational Requirements:
Other quantitative fields of study may be considered
Minimum Years of Experience:3 year(s)
Preferred Qualifications:
Preferred Knowledge/Skills:
Demonstrates thorough abilities and/or a proven record of success in the application of statistical methods, data mining or data-driven problem solving, emphasizing a combination of some of the following areas:
Performing in development language environments: e.g. Python, Java, C++, R, SQL, etc. and applying analytical methods to large and complex datasets leveraging one of those languages;Applying statistical modelling, algorithms, data mining and machine learning algorithms problem solving;Manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources;Demonstrating familiarity with machine learning architectures used for text analysis and anomaly detection;Building modularised, configurable and re-usable statistical and predictive models including (but not limited to) natural language processing, decision trees, multi-label classification, regression analysis and neural networks;Applying techniques such as multivariate regressions, Bayesian probabilities, clustering algorithms, machine learning, dynamic programming, stochastic-processes, queuing theory, algorithmic knowledge to efficiently research and solve complex development problems and application of engineering methods to define, predict and evaluate the results obtained; and,Visualizing and communicating analytical results, using technologies such as Tableau, Spotfire, PowerBI and Qlikview.
Demonstrates thorough knowledge and/or a proven record of success emphasizing a combination of some of the following areas:
Assisting with the delivery and tracking of large-scale projects;Demonstrating aptitude for building and implementing predictive models in a highly documented, well presented fashion;Demonstrating aptitude for conducting quantitative and qualitative analyses of large and complex data as it relates to the project requirements in customer transformation;Supporting engagement leads in the interpretation and presentation of model results and model choice rationale;Collaborating with business development teams responsible for writing and presenting proposals to prospective clients, leveraging PC applications including Microsoft Word, Excel, PowerPoint, and Project; and,Managing and/or contributing to project planning, engagement administration, budget management, and successful completion of engagement work stream(s).
For positions in Colorado, visit the following link for information related to Colorado's Equal Pay for Equal Work Act: https://pwc.to/coloradoadvisoryseniorassociate.

All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy
For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.

Please note that, at this time, to be in-person at a PwC office, client location or PwC-sponsored events, you must be fully vaccinated against COVID-19.
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Senior Machine Learning Scientist

About the role
Our Search Team, comprising of Applied Scientists and Software Engineers, specializes in Machine Learning. We work together to build custom machine-learning models that can drive product vision and customer impact. We are looking for individuals who are product driven, and are passionate about making ML innovations in areas such as Ranking, Optimization, Natural Language Processing, Information Retrieval, Graph Learning, Reinforcement Learning to help improve the StockX buyer/seller search experience!
Example Projects:

Develop powerful embeddings to collect salient signals of our customers, product, and user interactions.
Extract real-time signals and multi-modality data (i.e, content and image) from our 5M+ product catalog images and 1M+ listings. Understand semantic content, aesthetic style, materials for ranking and optimization.
Build the first personalized search ranking and real-time in-session personalization.
Implement and compare supervised learning models (i.e, LR, GBDT, and DNNs) or ensembles of models, to improve metrics, often with multiple contending objectives (i.e, relevance, degree of personalization, average value of orders, repeated frequencies/purchases).
Develop models with custom architecture or objective functions that target StockX-specific problems, such as personalized search, revenue optimization, seller fairness, seasonality, etc.
Develop brand-new learning frameworks for query suggestions to understand buyer experience.

What you'll do

Apply the latest advances in deep learning and machine learning to improve buyer and seller experiences on StockX.
Prototype, optimize, and productionize large-scale ML models that help deliver key results in search experience.
Conduct A/B experiments to validate ML models and pipelines.
Work closely with product managers, ML scientists/engineers, full-stack engineers, and designers on product teams to deliver content to tens of millions of users.

About you

Experience with object-oriented or functional software development
Experience working with AWS or other cloud providers
Experience with big data platforms like Spark
Experience with machine learning libraries such as TensorFlow, PyTorch, or MXNet
You have dealt with data exploration, analysis, and feature engineering
You have relentlessly high standards for the products you deliver
Work effectively in an agile development process

Bonus points:

You have a Ph.D. degree in Computer Science or related engineering fields, or 5+ years of practical machine learning experience.
You have published at peer-reviewed conferences, such as ICML, KDD, SIGIR, WSDM, etc. or  you have given talks/tutorials in the industrial conferences like Spark Summit.
You have experience using AWS Cloud Platform.
You have experience in building production search, recommendations, advertising, or general e-commerce systems.


Senior Data Scientist

About Iggy 🌱
The team at Iggy wants to help you understand place. Founded by an Ex-Airbnb data scientist (Lindsay), we empower data scientists, machine learning engineers and product developers  to build innovative products, models and apps that leverage location data and context. Today Iggy is focused on providing data enrichment products and tools to data scientists. It’s a really exciting time for us–we’re collaborating with design partners primarily in Real Estate to refine our first product. A year from now, we expect to be scaling this data enrichment product and branching out into providing more services and models for companies across various verticals looking to leverage geographic data.
We’re a seed-stage startup backed by some amazing institutional investors including First Round Capital and Amplify, an incredible micro VC Brianne Kimmel/WLV, the Airbnb Alumni Investment Syndicate AirAngels, as well as founders from Plaid, Looker, Instacart, and other high value-add investors.
You'll be joining a small, fun, mission-oriented and mature team. We're intentional about the products we build and the culture we create. We value creativity, curiosity, problem-solving, kindness and diversity. We love what we do for work, and we do other things too: our founder is an avid rock climber, traveler, and cheese fanatic. Other team members cook and garden, play video games and ride motorcycles. We value who you are outside/beyond work and are excited to support you in your passions.
Please read our diversity statement.
About the Role
We’re growing our Data Science team and looking for geospatial expertise. Specifically, we want to find someone who is excited about ideating, prototyping, and releasing models that power location-based insights for customers.
In this role you will help us build our initial product and bring it to market. We don’t have everything figured out so we’re looking for someone who has experience working in an early-stage company and who is experimental, comfortable with ambiguity, and loves to take on an ambitious challenge. You will be expected to bring your technical expertise and knowledge to inform our broader business strategy and be passionate about our audience - data scientists and ML engineers. You should be comfortable and confident sharing your perspective, goals, and results with the broader company as a core team member.
This role has an incredible opportunity for growth across technical, product and leadership/management realms. As an early stage startup, we have more hypotheses than answers. It makes for a wild ride and isn’t for everyone. But if you want to grow on multiple fronts, we’d love to chat.
This position is a full-time, benefits eligible position based anywhere in the United States. The salary range for this position is $145k-175k annually. As a member of our team, you’ll also be eligible for meaningful employee equity.
Success Looks Like ✅
Work closely with our product team to understand the location-related insights that are valuable to our early users, and work with the data science team to implement generalizable, scalable solutions.Provide input to Iggy’s data science roadmap, based on a solid understanding of customer needs and implementation details.Design and implement systems to understand and improve our data quality.Know what we can do with the data we have on hand, and what we could do with additional data sources. Help to prioritize data acquisition efforts.Be an Iggy evangelist. Stay up-to-date on the world of geospatial data science and have an opinion about where we fit in. Share your thoughts internally with the team, and externally with the world.
About You
You’ve been working in a hands-on data science role for at least 3-5 years, and for some or all of that time you’ve worked with geospatial data. You’re excited to use your technical expertise to answer questions like:•How do I know whether a length of coastline is a place I’d actually go to enjoy the beach?•Is there a reliable way to distinguish properties that are on the beach from those that are a short walk from the beach?•How can we measure the quality of our Points of Interest data?
You are comfortable using open-source frameworks to ingest, manipulate, and analyze geo data.You get energy from solving problems for other data scientists like yourself. You’d be keen to interact with them directly in order to learn about their pain points and show off your solutions.You’re comfortable enough with cloud-based deployment frameworks (like Docker, GCP/AWS/Azure) to use them with some guidance/support from the engineering team.You have experience in, or understand the implications of, working in an early-stage startup. You’re not afraid to learn quickly, stretch your skill set, or pivot as needed.

We'd love to see a side project/portfolio or even better, a blog post from any potential candidates!
Benefits 🎁
We offer a robust package of benefits that includes:
Remote First Company - work from where you want to live (in the US)!100% Company paid premiums for medical, dental and vision50% paid premiums for dependents401(k) retirement planEmployer-paid Life Insurance and AD&D BenefitsPaid Parental LeaveFlexible Time Off Professional Development Team off-sites
Iggy is an Equal Opportunity Employer. We are committed to promoting a diverse and inclusive environment for all current and future employees.
How to Apply
Email us at careers@askiggy.com and specify the job you are applying for in the subject line. Applications that include links to github, portfolio, and/or blog posts will be fast-tracked for review. No agencies please.


Sr Data Scientist Partnership Analytics

About The Role
We are looking for a Data Superstar who possesses a passion for data, metrics, and uncovering actionable insights. As a Product Data Analyst, you’ll partner with our Product, Engineering, Marketing, Design teams and other Data Analysts to help AURA build a magical consumer product solution that brings together privacy, security, and identity protection capabilities. You will be focused on behavior and feature engagement analytics to help product owners and stakeholders improve the customer experience. Our ideal candidate loves digging into the metrics and details, and is proficient in bringing to life insights through clear storytelling.
Responsibilities

Create and maintain product health metrics and dashboards
Investigate data issues and escalate them to the relevant group when needed
Provide tracking requirements for mobile, desktop and web applications
Develop compelling dashboards to measure the impact of new product features or business initiatives
Perform an ad-hoc analysis while working closely with Product Owners helping them to understand the data and make decisions
Interact with multiple teams to better understand structure, meaning and source of data
Provide quarterly analysis on key product features usage and trends, to identify insights and areas of improvement for product

Qualifications

BA/BS degree, 5+ years of experience as a data analyst
Proficient with SQL, comfortable working with large datasets and multiple data sources
Ability to write SQL for both ad-hoc analyses and scheduled ETL
Experienced with Tableau visualization and storytelling
A team player and self-starter with great interpersonal skills and a solution-oriented attitude
Great at distilling data into actionable insights and recommendations
Manipulate, transform, and analyze complex, high-volume, high-dimensional data
Experience and passion for developing the right metrics and dashboards/visualizations
Ability to work cross-functionally with stakeholders from across the business

#LI-REMOTE


Senior Data Scientist Financial Services

What You'll Do
Design and execute multi-disciplinary data science solutions effectively and efficiently.
Partner with business leaders and work effectively across business, creative, and engineering groups to solve problems. Help build a positive culture across technical and business teams.
Provide guidance to the broader data science community within RV on the design and execution of the data science projects, especially when relevant to expertise.
Further the data science team’s technical capabilities by bringing novel methods from the field into RV through research, software development, and teaching others.
Drive the development of junior team members through mentorship and coaching.
Help create and promote an inclusive environment where team members feel comfortable and empowered.
What We Are Looking For
4+ yrs of professional experience in a data science role with an MS or PhD in STEM with a focus in ML, statistical modeling, or optimization.
Our core problems to solve are:

Website Personalization - using contextual multi-armed bandits and other reinforcement learning approaches.
SEO Optimization - using natural language processing and generation, deep learning, and explainable supervised learning.
Marketplace Optimization - using forecasting, multi-level modelling, linear programming, and other constraint-based optimization approaches.

Candidates with specific expertise in any of these areas will be highly preferred.
Knowledge of end-to-end software development, deployment, and monitoring workflows.Ability to methodically understand business context, define value propositions, and formulate and solve complex data science problems.
Ability to clearly articulate the “why” behind proposed data science solutions to the relevant stakeholders.
Ability to own key deliverables and use problem solving to deliver projects on time and iterate when justified by potential, incremental value.
Ability to intake business requests/priorities and then prioritize bodies of work, communicating project status, timeline, and technical results to broad audiences.
Proficiency in one or multiple literate statistical programming languages such as R, Python, and Scala. Our data science team primarily builds production algorithms in python, but we are open to candidates with different backgrounds.
Experience expanding the knowledge of a data science team on topics where you have specific expertise through teaching and mentoring.
Experience leveraging technical expertise to identify the feasibility of potential data science projects, ensuring the team is delivering value on projects that are feasible.
Experience developing skills specific to a specialization or expertise through research skills like literature reviews and communication of findings.
Who We Are
Founded in 2000, Red Ventures is a portfolio of growing digital businesses that bring consumers and brands together through integrated e-commerce, strategic partnerships and many proprietary brands including Bankrate, AllConnect.com and Reviews.com. Headquartered south of Charlotte, NC, Red Ventures has over 3000 employees in offices across the US, as well as London and Sao Paulo. For more information, visit www.redventures.com.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person’s merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com.


Data Science Manager

Data Science Manager

What You'll Do
Lead a team of data scientists and data analysts by defining technology strategy, creating and managing a project portfolio, tracking key performance indicators, and driving daily execution to achieve desired business outcomes.
Provide necessary coaching and assistance to team members on technology development, project execution, and personal development.
Collaborate effectively with other functions to set team priorities, influence work approaches, and solve operational/organizational challenges.
Contribute to the organizational strategy as a member of the leadership team in the functional, product, or industry groups.
Help create and promote an inclusive environment where team members feel comfortable and empowered.
What We Are Looking For
4+ years of professional experience in a data science role with an MS or PhD in STEM with a focus in ML, statistical modeling, or optimization
2+ years of relevant experience managing a team of data scientists.
Our core problems to solve are:

website personalization - using contextual multi-armed bandits and other reinforcement learning approaches.

SEO optimization - using natural language processing and generation, deep learning, and explainable supervised learning.

marketplace optimization - using forecasting, multi-level modelling, linear programming, and other constraint-based optimization approaches.

Candidates with specific expertise in any of these areas will be highly preferred.
Knowledge of end-to-end software development, deployment, and monitoring workflows.
Ability to develop a team of varied levels of seniority and expertise through direct leadership, training, and feedback.
Ability to aggregate and assess impact of the team’s work, staff projects accordingly based on technical skills, career goals, and priority.
Strong business acumen, project management, and priority setting skills.
Ability to both tactically execute data science priorities and develop capabilities of the team. Ability to create and implement changes when necessary based on efficiency and effectiveness of the team.
Experience expanding the knowledge of a DS team on topics where one has special expertise.
Experience effectively scaling leadership and subsequent impact to a larger team or a larger scope of responsibility.
Experience leveraging technical expertise to identify the feasibility of potential DS projects, ensuring the team is delivering value on problems that are feasible.
Experience working with direct reports to create development plans and then actively making available opportunities for growth that align with goals, including the preparation and delivery of reviews.
Experience contributing to the development of the broader DS team culture and identity.
A Red Ventures Brand
Over the last twenty years, Red Ventures has built a portfolio of influential brands, digital platforms, and strategic partnerships that work together to connect millions of people with expert advice. Through premium content and personalized digital experiences, Red Ventures builds online journeys that make it easier for people to make important decisions about their homes, health, travel, finances, education and entertainment. Founded in 2000, Red Ventures has 3,000 employees in 10 cities across the US, as well as in the UK and Brazil. Red Ventures owns and operates several large digital brands including Healthline, The Points Guy, Bankrate, MYMOVE, and Allconnect.com.
For more information, visit https://redventures.com and follow @RedVentures on social platforms.
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.
Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com.