Data Scientist Initiatives

Join Unbounce and help the world experience better marketing. We’re a people-first, customer-obsessed company focused on helping employees do their best work. Our landing page and conversion intelligence platform empowers digital marketing teams and agencies to launch campaigns, increase conversions and get significantly better ROI on their marketing spend in a way that nobody else does today.
We are looking for a Data Scientist to help us blaze some trails and lead our growing efforts in data science and machine learning. You’ll work as part of the Initiatives squad within our Data Products team, combining techniques in deep learning, NLP and more to deliver innovative production machine learning features to our customers.
What you’ll be doing:
You’ll be part of a diverse, cross-functional team of Data Scientists, Machine Learning Engineers, Data Analysts, Product Managers and UX DesignersYou’ll focus on driving machine learning in a variety of areas focused around empowering our customers to create high converting content, optimize their ad campaigns, and provide data-driven insights to increase their ROIYou’ll be exposed to a wide array of machine learning areas, such as cutting-edge NLP utilizing attention-based and generative models, image analysis and reinforcement learningYou’ll help Data Products plan its overall strategy, vision and planning
A little bit about you:
2-4 years of experience working with machine learning and data scienceProficient with Python and the associated data science/machine learning packages (e.g. scikit-learn, pandas, xgboost, NumPy, scipy)Experience with one or more deep learning approaches (NLP,  machine vision, generative models) and proficiency with a deep learning framework such as PyTorch or TensorFlow.Relational databases (we principally use MySQL and Postgres)Agile development, version control, software development best practices, and code review processesYou can communicate clearly and empathetically with developers, product managers, and UX designers to explain the abilities and limitations of ML systemsYou are not afraid to ask questions to find the best solution and are equally unafraid to have your ideas challenged. You have a strong passion for learning and acquiring knowledge and are humble in your endeavours to become a better Data Scientist
What’s in it for you:
A remote-friendly office with flexible hours - for this role we will consider all applications from those based in Canada with the option to work from our Vancouver office 4 weeks vacation plus Christmas holiday closure - you're entitled to the week of Christmas off with pay through to and including Jan 1st Vacation bonus - $1,000.0012 personal wellness days (This includes: personal day, moving day, sick day, etc)Health and wellness budget  - $500.00WFH allowance - $500.00A paid day off for your birthdayOne paid volunteer day per yearAll Unbouncers are encouraged to dedicate 10% of their time to Pro-D time
Please note that we currently do not have a legal entity set up to operate as an employer of record in Quebec. We thank you for your consideration but we are unable to accept candidates from Quebec at this time.
Share our values:
CourageAmbitionBeing RealEmpathyDiversity
Unbounce Welcomes You to be YOU!
At Unbounce, we want every employee to be excited to bring their full, authentic self to work. When you do this – when you bring your unique experiences, background, knowledge, perspective, and self-expression while embracing the same from others – we learn from each other, we innovate, and we co-create an environment where Unbouncers can do the best work of their careers. We’re bolder and more brilliant together.
We’re dedicated to ensuring each Unbouncers feels a sense of belonging, feels safe, cared for, respected and valued for who they are, and trusts that their unique voice is heard, embraced, and meaningfully contributes to decision-making. We’re committed to equitable employee experience, opportunity, pay and support for every employee regardless of gender identity or expression, race, ethnicity, family or marital status, religion, socio-economic status, veteran status, national origin, age, sexual orientation, education, disability, or any other characteristic that makes you unique.
We have no tolerance for sexism, racism, xenophobia, homophobia, transphobia, ableism, ageism, or any other forms of hateful/harmful discrimination and we’re taking action against unequal pay in our community through leading the #PayUpforProgress movement.
Please let us know if you require any accommodations or support during the recruitment process.


Data Scientist Lead

Usaa 689Aeaa2 Edab 4Bdc 8C07 097Cc2D092C8

Purpose of Job
We are seeking a talented Data Scientist Lead for either our San Antonio Home Office, Plano Campus, Phoenix Campus, Charlotte Campus, Colorado Springs Campus, Tampa Campus, or person may also work in a 100% Remote Work Environment.
Data Scientist Lead uses advanced techniques that integrate traditional and non-traditional datasets to enable analytical solutions. Applies predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications; Builds analytical solutions leveraging internal and external applications to deliver value and create competitive advantage; Leads initiatives and influences system architecture to enable automated intelligent solutions. Translates complex analytical and technical concepts to senior management to enable business decisions; Maintains relationships with academic and industry thought leaders to ensure enterprise has access to cutting-edge thinking and technologies.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
Primary Responsibilities:
Identifies and manages existing and emerging risks that stem from business activities and the job role. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled. Follows written risk and compliance policies and procedures for business activities. Partners with business leaders across the organization to assess business needs, define business problems and develop a research agenda; leads cross functional, matrixed teams to solve highly complex work critical to the organization.Designs and builds large and complex information sets; Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions.Leads and conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization and other techniques to deliver insights or develop analytical solutions to achieve business objectives.Leads efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.Works with IT to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.Builds and maintains a robust library of reusable algorithms and supporting code, such that research efforts are based on the highest quality data, are transparently conducted, and can be productionized and are reproducible.Provides guidance regarding analytical approach and iteration of algorithms to team members.Translates complex analytical and technical concepts to senior management and non-technical employees to enable understanding and drive informed business decisions.Develops and maintains academic and industry relationships for the purposes of research; interacts with internal and external peers and management to maintain expertise and awareness of cutting-edge techniques, technologies and potential business solutions.
When you apply for this position, you will be required to answer some initial questions.  This will take approximately 5 minutes.  Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Minimum Requirements:
Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field OR 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.8 years in predictive modeling, large data analysis and computer science.Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis).Expert in at least one compiled language (e.g., Java, C or more or more) and one dynamic scripting language (Python, PERL, Ruby).A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent).Extensive background in data mining and statistical analysis.Excellent pattern recognition and predictive modeling skills.Knowledge and application of Data Science principals and experience with data science methodologies.Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.Extensive technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers’ organization.Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.
Preferred Experience:
Experience in Natural Language Processing and/or Computer VisionExperience in building advanced analytics for a Bank product, preferably Mortgage Banking.Strong project management skills.Experience working with and guiding junior data scientistsExcellent communication and storytelling skills.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $135,200 - $243,500 *(this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness.  These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs.  Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.
#FSB


Data Scientist

We’re Coinbase. We’re the world’s most trusted way to join the crypto revolution, serving more than 89 million accounts in more than 100 countries.
Our mission is to increase economic freedom around the world, and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web 3.0 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those people who always lead the group project? That’s us.
There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a culture like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people who are excited to learn about and live crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all over the world.
Ready to #LiveCrypto? Who you are:
You’ve got positive energy. You’re optimistic about the future and determined to get there.
You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0.
You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow.
You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job.
You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission.
You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone.
At Coinbase, our vision is to build an open financial system for the world, and to get there we’ll need to continually learn from our data. Data scientists are focused on this critical step of converting data into learning.
You’ll spend part of your time collaborating closely with business partners in product, engineering, finance and marketing teams — to ensure we’re focused on the biggest opportunities and interpreting our data correctly. And you’ll spend the other part of your time with the Data team building analytics models and systems that help scale our insights more broadly, both throughout the company and directly in the product. We expect you to demonstrate clear communication, strong desire to execute and best-in-class craftsmanship.
What you’ll be doing (ie. job duties):
Measure business performance, develop core metrics and create dashboards to track and understand them.
Identify data, metrics and analyses needs for business partners; Initiate, develop and maintain data pipelines and data models that powers dashboards and data products with outstanding craftsmanship.
Perform deep analyses and build models to understand customer behavior, and extract key insights that impact product decisions.
Synthesize data learnings into compelling stories and communicate them throughout Coinbase.
Act as a strategic partner to functional teams and Coinbase executives; initiate and execute on data-driven analyses to help prioritize opportunities and provide actionable recommendations
Prototype new analytics & machine learning models that improve both our insights and the product directly.
Work across multiple subject matter experts to drive new data initiatives, automation of reports, establish best practices and mentor junior members in the team.
Lead analytics projects to completion.
Work with the broader Data team to find ways to scale our insights through better systems and automation.
What we look for in you (ie. job requirements):
4+ years relevant experience
Demonstrate our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
Understanding of statistical concepts and experience in applying them.
Experience in data analyses using SQL.
Experience in at least one programming language (e.g. R, Python, Java, Ruby, Scala/Spark, or Perl).
Be able to independently create plans for analytics projects and  build collaboration within the team.
BA / BS degree or equivalent practical experience
Nice to haves:
Be able to proactively manage prioritization of work and deliver work with great quality and influence the broader team in creating leverage.
Previous experience working with financial services data is a plus.
Experience with Looker, Tableau or other business intelligence platforms.
Domain experience in product, marketing, growth, or other business analytics areas.
Experience manipulating large amounts of structured and unstructured data.
ID:G2206
Please note that for employees based in the US, Philippines, Canada or Singapore, if your role requires you to be present in a Coinbase office or if you choose to be physically present in a Coinbase office or sponsored location, participate in any in-person gathering (including offsites) or engage in business travel sponsored by Coinbase, you will be required to be fully vaccinated (as defined by applicable law).  If you receive an offer, you will receive additional information about the grounds and process for an exemption.
Commitment to Equal Opportunity
Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.  For US applicants, you may view Pay Transparency, Employee Rights and Equal Employment Opportunity is the Law notices by clicking on their corresponding links.  Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations[at]coinbase.com and let us know the nature of your request and your contact information.  For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).
Global Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required.


Data Scientist Europe

Leadfeeder is a fast-growing international SaaS scale-up, headquartered in Helsinki, Finland. We are an international remote team of 130+ members from around the world. We've developed an online service which automates sales lead generation for B2B companies.
Our 50+ strong in-house, all-remote engineering team is responsible for developing new features, and otherwise improving and maintaining the Leadfeeder product.
We are organised in feature-oriented, cross-functional squads. Each squad is responsible for specific features of the product, and works tightly together with high autonomy.
We pride ourselves on keeping apps working smoothly, and the codebase tidy and well-tested. We dedicate time for upgrades, refactoring, and overall improvements for developer productivity and happiness.

As a Data Scientist, you will be joining the R&D to own everything related to product analytics there. Your main focus will be analytical support for the Data Quality Tribe, which is responsible for traffic identification, the core functionality of Leadfeeder.
You must reside in Europe, yet the exact location doesn’t matter as Leadfeeder is a remote company.

Responsibilities
As a Data Scientist concentrated on Data Quality analytics, your tasks would include (but no limited to) the following:
Implement machine learning techniques into Leadfeeder’s core technology offering Communicate design of data and machine learning solutions to your teammates
Work alongside the Tribe members to develop mission-critical KPI's Create dashboards and reports for key areas of the Data Quality Partner with engineering to create and assess product experiments Help growing a culture of measurement and metrics Investigate the causes behind unexpected metric fluctuations Develop models to automatically detect anomalies
Requirements
Excellent SQL skills Good understanding of statistics behind A/B testing and regression analysis Experience with BI/Visualization tools like Tableau, Qlik or similar Basic understanding of APIs Some programming skills (Ruby, Python etc.) Good understanding of machine learning techniques Strong English language skills, both written and spoken
Benefits
The chance to work with a very knowledgeable, high-achieving and fun team An international and diverse work atmosphere The opportunity to work remotely in a fast-paced and results-oriented startup environment Personal budget for home office improvements Company hardware or monthly financial support for using your own equipment Flexible working hours Access to weekly yoga / fitness / meditation classes online Mental Health support Bi-annual company retreats
Apply for this position
See other positions →


Analytics Research Manager Heor

About the Role
At Happify Health, the Health Economics & Outcomes Research (HEOR) team is critical to developing and communicating evidence to support economic value propositions to payers, employers and healthcare systems. The Research Analytics Manager will be supporting HEOR evidence generation needs for Digital Therapeutics and Care Delivery solutions. We are looking for a versatile candidate who has strong tactical execution skills that can implement HEOR data analytics strategy. If you are passionate about enabling access to mental health care through generating evidence by designing and implementing innovative HEOR analytical studies, Happify is the place for you. This job reports to the Director of HEOR.
#LI-Remote
Responsibilities

Responsible for conducting statistical analysis to explore economic impact of Happify solutions on real-world health utilization (disease incidence, treatment patterns, costing, etc.) combining various data sources (i.e. claims data, clinical trial data, real-world user data)
Generate evidence related to quantifying the economic burden for chronic disease states of interest analyzing administrative healthcare data, such as Medicare or commercial claims data.
Prepares research results and written summaries to internal teams or clients, and for journal publications.
Supports initiatives to improve efficiency/standardization across all projects..
Evaluates complex statistical/programming issues, and oversees implementation of rigorous data quality assurance plans; collaborates and/or communicates with internal teams to resolve issues.
Plans statistical programming activities / timelines to provide project team with guidance on data management and analysis timelines for projects

Qualifications

3-5+ years’ experience in designing and implementing statistical analysis to support health services and claims database research (3+ years with a PHD) within the medical device/ Pharma industry (may include time in relevant consulting agencies)
Flexible and collaborative mindset with the ability to work in a dynamic environment
Strong tactical skills in executing HEOR analytics studies
Excellent written and verbal communication skills, with demonstrated success in publishing abstracts and/or manuscripts.
Versatile team member who enjoys frequent collaboration and who can also take initiative to work independently; genuinely invested in Happify’s mission and success
Proficiency in Statistical Analysis System such as SAS or R required
Master's degree or higher in Statistics or Biostatistics or other relevant field with substantial statistical preparation is preferred; strong knowledge of statistical methodology and analysis is required


Data Science Intern

Marlette Funding is a consumer financial technology (fintech) business on a mission to inspire financial confidence by helping people manage their day-to-day finances.  We offer a digital financial platform with simple, accessible and personalized financial solutions including personal loans. credit cards and a financial health product.

The company is a fast-growing fintech that has been recognized numerous times as a best workplace.  If you are energized by working in a fun organization where communication is open, everyone feels included, creativity is embraced, personal growth is encouraged, and you can make positive impact on the business, Marlette is the place for you.

Marlette celebrates diversity and equal opportunity.  We are committed to building a team that represents a variety of backgrounds, perspectives and skills. The more inclusive we are, the better we will grow.

The Data Scientist Intern will be part of the Data Science team and will help create innovative data-driven tools that are used to improve business decisions across the company.

Duties & Responsibilities

The primary responsibility of the Data Scientist intern will be to develop new machine learning algorithms and models to optimize business decisions.  The intern will:
Create and optimize machine learning models to predict customer response and conversion.
Sift through thousands of attributes to determine which are most valuable.
Create and test new techniques, and algorithms that will improve capabilities across the Data Science team.
Explore difficult new problems, addressing feedback loops and performance drift.

Requirements

Experience in Python and SQL
Familiarity with machine learning algorithms as well as data science frameworks such as scikit-learn
Working knowledge of statistics and data analysis
Preferred Education:  Graduate Level student pursuing a Master's Degree or PhD in Data Science, Statistics, Math, Computer Science, or related field with target graduation in 2023 or later

Leadership

Comfortable interacting and engaging with colleagues from all levels of management across all business units and external auditors.
Demonstrated technical leadership skills including self-direction, coaching and mentoring, getting buy-ins on the models from all relevant constituents.
High self-efficacy, highly motivated, well organized, capable of developing and executing a sprint plan, and able to communicate status effectively
Effectively collaborate remotely.

Culture

Ability to succeed within a cross-functional team emphasizing Collective Ownership in a fast-paced environment
Be confident and willing to challenge status quo but also willing to concede and execute other’s ideas when necessary
Capable of teaching and learning from others to promote continuity of knowledge and personal development
Ability to work effectively independently and as a team member
Excellent English written and verbal communication skill

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Our Brand:

At Best Egg, we believe money should be accessible so people can reach their goals, live a fuller life, and feel pride in knowing they have taken control of their finances.  For those who need extra money to achieve the progress they seek in life, Best Egg is the modern solution-minded finance provider that mixes decades of banking experience with smart technology and deep customer insight to create products designed for today’s borrower, so that people can establish a smoother financial path. The egg symbolizes protection and a fresh start.

Recruiting Agencies: We appreciate what you do and understand how challenging it can be, however please do not send us unsolicited resumes or cold outreach to our employees, job listings or recruiting team.  If you are interested in helping us, you can apply HERE


Ai Ml Lead

We're looking for an AI/ML Lead to help build Co–Star’s Content Systems.
At Co-Star, we create and deliver content in a completely unique way. We’ve built a language generation platform that bridges poetry, NLP/ML, computational linguistics, and astrological algorithms. The tools we’ve built allow our team of creative technologists to take original creative concepts and generate personalized horoscopes for 20M+ users.
As the AI/ML Lead, you’ll work in lockstep with a cross-functional team of product managers, engineers, writers, and taxonomists and will guide the work of data scientists to develop scalable systems for generating, classifying, and interpreting text. This role sits on the Data Science team and reports to the VP of Engineering. You’ll help tens of millions of people connect to each other and themselves – through astrology – in real, meaningful ways.
WHAT YOU’LL DO

Build new and innovative tools to scale content generation, while keeping the voice and tone of Co–Star intact
Evaluate our current data science processes and create a strategy around improvements and scalability
Iterate on code and infrastructure to optimize the data organization's workflow
Work closely with Product to develop a roadmap that defines a long-term strategy around content systems, while shipping incrementally with as much measurable user value possible
Build, troubleshoot, and integrate data structures across content, backend, and data teams in order to build scalable infrastructure

Leverage ML papers (Fan, Reiter) & experimental ML tools (e.g. GPT-3) into innovative products and educate others on their capabilities

WHAT YOU'LL BRING

7+ years shipping content generation or analysis products
Expert-level understanding of core principles and modern tooling in data science, including machine learning (eg SK Learn, PyTorch, TensorFlow), data and text analytics, clustering, pattern recognition and extraction, automated classification and categorization, deep learning, and NLP
Innovation — you’re a builder and tinkerer. You’ve made robots that do something novel or beautiful
Clear communication, both verbally and in writing
A framework for defining code products that solve linguistic problems and demonstrated success in explaining those problems and solutions to others
Experience with data pipelines for storage and accessing (AWS Athena, GCP BigQuery) and processing (Athena, EMR, Dataflow, Dataproc)
A deep love of the scientific method — you live to question, hypothesize, predict, experiment, and analyze
A love of figuring out “hacky” ways of accomplishing things, but the awareness to know when the cheap way is no longer adequate
An appreciation for beautiful writing

OUR STACK

Python wrapper intakes NASA data about where the planets are to find the patterns in the night sky from the perspective of earth
Haskell backend transforms data, gives writers superpowers, and delivers resonant, personalized content
Native Swift & Android apps create an incredible mobile experience that feels made-for-your-fingers
AWS infrastructure scales to serve millions of people
BigQuery stores terabytes of data to create insight for internal teams
Colab provides a development framework for generative text
What an NLP professor called a “virtuosic” use of Google Sheets


Senior Data Scientist

Join us on the tech team of an extremely fast-growing, technology-driven startup that's making effective skincare accessible to everyone.

Curology is a technology company building the future of skincare through personalized prescription treatment. We believe that dermatology should be accessible to everyone—great skin shouldn't be a luxury, but a fact of life. To make this possible, we're building tech to power an entire in-house medical ecosystem, covering everything from medical care to provider licensing and pharmacy fulfillment operations.

The Data Science team’s mission is to continuously unlock the algorithmic and predictive potential in Curology's data by leveraging best-in-class data science solutions. We do this by proactively digging into our first and third party data, partnering with stakeholders to uncover new opportunities or advance the status quo, and staying up to date with state of the art algorithms and methodologies.

In this specific role, you will partner with the Subscriber Growth Product Group. The main objective for this product group is to grow the Curology and Agency subscriber base by implementing product enhancements that enable more customers to realize value from our products.

In this role, you will:

- Collaborate with cross-functional stakeholders to identify how data can be used to shape product strategies, reduce uncertainty and risk, uncover new opportunities and advance the status quo across the organization.
- Perform data exploration and feature engineering using appropriate tools and software including but not limited to SQL, NoSQL, and Python.
- Differentiate among machine learning models and explain the role and importance of model validation and accuracy metrics as they relate to the business opportunity.
- Build, deploy and monitor sophisticated and state of the art machine learning algorithms at a production level scale
- Embody personal accountability and a strong sense of ownership for your work

You will be successful if you have:

Data Literacy: Ability to leverage data as a resource and its potential applications to drive and build impactful solutions

Statistical and Machine Learning Foundations: Comfort applying quantitative techniques to design and deploy models for prediction and analysis

Intellectual Curiosity: Eagerness to work and seek out new challenges

Organizational Awareness: Exemplify Curology's core values through interpersonal and self-management styles

You will love working at Curology because:
- Amazing team culture and environment
- Awarded Great Place To Work & Inc.’s Best Workplace
- Competitive salary and equity options
- Unlimited, flexible PTO for exempt employees
- Comprehensive benefits: Medical, dental and vision insurance are covered 90%+ for employees; flexible spending account; 401k
- Paid maternity and paternity leave
- Free subscription to Curology!
- Company-sponsored happy hours and outings

Curology encourages applications from people of all races, religions, national origins, genders, sexual orientations, gender identities, gender expressions and ages, as well as veterans and individuals with disabilities. Notice to Applicants under the CCPA.


Senior Data Scientist

About the Role
Data Scientists at Shift build things that matter and have a material impact to the company’s bottom line and the customer’s experience. In this role, you will drive exciting, meaningful projects, and help define our technical and product strategy, you will have an opportunity to innovate. We move fast, have fun, and help each other out.
We’re looking for an experienced Senior Data Scientist to help us build the world's best e-commerce and operations platform to drive car sales and acquisitions. As a senior technical leader, you are critical to our business and technical prowess. You will work directly with technical management at the company and raise the bar for Data Science and Machine Learning. You lead by example and foster a culture of technical excellence, humility and lifelong learning.
This is an opportunity to join a fantastic team at a hi-tech fast-paced Silicon Valley company which is transforming an entire industry. You will report to the Director of Data Science. We’d love to talk to you about what great things you’ll do here.
What you will do:

Be a key contributor to Shift’s tech stack and technical processes, working with engineers throughout the organization, partnering with Data Science and TechOps.
Demonstrate best practices by delivering high quality results to business.
Provide technical leadership for data scientists with supportive but candid feedback in code reviews and architecture documents.
Participate in build v buy decisions.
Participate in technical design, project planning and lead development of critical projects.

What you will bring:

Passion for data, technology and people.
PhD or Masters in Computer Science, Mathematics, Neuroscience, Computational Biology, Econometrics.
Practical data science experience with a deep technical background in supervised and unsupervised machine learning methods.
Strong communicator - able to advocate data informed decision-making at all levels using visuals and narrative documents.
Strong analytical capabilities to translate business problems into data science problems and implemented solutions.
Experience with big data technologies such as Spark, AWS Athena, Redshift, Sisense, Looker, Tableau or others.
Experience with deploying to AWS SageMaker.
Mentored junior data scientists, led projects to the finishing line.
Strong experience in SQL and programming in Python or R.
Strong mathematical background or computer science.
Advanced ability to perform exploratory data analysis
Expert in Statistical Studies

Preferred Skills and Experience:

Databricks experience
Redshift experience
Experience with monitoring and instrumentation tech and vendors such as Segment, New Relic, Datadog, Pingdom and PagerDuty.

About Shift
We’re a tech company who has built an e-commerce marketplace for customers to buy and sell used cars, all while having an experience that is fun, fair and accessible.  We’ve set out to transform a huge industry using cutting-edge technology, and bring transparency and convenience to the car buying and selling process.
We aren’t stopping there. We bring that same transparency and convenience to car ownership too, with payments, maintenance, and insurance in one easy app.  At Shift, we’re building the tools that empower people to buy, own, and sell the cars that make life go.
Shift is an Equal Employment Opportunity Employer
Shift is an equal opportunity employer. Shift prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Shift conforms to the spirit as well as to the letter of all applicable laws and regulations.


Sr Data Scientist

Hi there!
We're looking for Senior Data Scientists to join the Data Insights team at Zapier.
Data Insights is responsible for driving impactful insight, experimentation, and quantitative research at Zapier. We work across Product, Growth & Revenue, Marketing, and Support, steering our business stakeholders to make data-informed decisions and deepening business understanding of opportunities and risks.
Our Data Scientists are semi-embedded into different business zones, developing tight-knit thought partnerships with key stakeholders. We’re hiring for a range of zones, so if you are a creative quantitative analyst interested in helping to grow a product that helps the world automate their work so they can get back to living, this may be the right challenge for you!
If you’re interested in advancing your career at a fast-growing, profitable, impact-driven company, then read on…
Our Commitment to Applicants
Culture and Values at Zapier
Zapier Guide to Remote Work
Zapier Code of Conduct
Diversity and Inclusivity at Zapier
About You
You are a skilled written communicator. Zapier is a 100% remote team and writing is our primary means of communication. You communicate complex technical topics clearly and in an approachable way.
You have hands-on experience in defining and analyzing large, complex datasets, finding actionable business solutions to loosely defined revenue and operations problems.
You have proven stakeholder management expertise. As a collaborative thought partner, you're gifted at explaining your findings clearly to a non-technical audience. You’re also excited by helping your team and stakeholders develop KPIs and self-serve dashboards. We believe in empowering our stakeholders to build their own dashboards and own their own first-order analysis.
You’re technically competent with relevant analytics tools (e.g. Python or R), including at least one SQL dialect - they’re all about the same; we happen to use Redshift.
You have deep expertise in designing and analyzing rigorous experiments of varying degrees of complexity. This includes mastery of at least one data visualization tool. We primarily use Looker.
You combine your strong business acumen with statistical expertise (e.g. confidence intervals, regression modeling, significance testing). This includes demonstrated experience with common machine learning techniques for deep data mining and exploration (e.g. predictive modeling, time series modeling, classification, and clustering techniques).
You care about the details and understand that without high-quality instrumentation, we cannot drive high-quality, impactful insights.
You enjoy collaboration and knowledge sharing. You appreciate our team’s values of eagerness to collaborate with teammates with any level of statistical knowledge, iterating over your deliverables, and being curious.
You understand that perfect is the enemy of good. You will default to action by initially shipping solutions that simply work and work simply while iterating as needed.
Things You Might Do
Zapier is a fast-growing and remote-first company, so you'll get experience on many different projects to support our stakeholders. Here are some things you might get to help our teams with:
Analyze user behavior to find and explain novel drivers of key outcomes, such as activation, engagement, upgrades, and churn. Work with business teams to design, analyze and interpret experiments that help them to improve these metrics.
Drive proactive analysis/research into high-potential green fields.
Use a variety of statistical methods to explore, discover and present user and market insights in order to proactively guide a range of business decisions, such as how Zapier strategically positions itself in the automation market.
Ensure all teams have insight to data and can answer their own first-order questions.
Develop data literacy programs and provide easy-to-use tools with clear documentation, examples, and tutorials.
Perform basic ETL tasks to model new dimensions and facts in our data warehouse’s dimensional model. For the heavier lifts, you’ll be supported by Data Warehouse Engineering colleagues.
Tools you’ll probably use include AWS Redshift, SQL, Looker, Amplitude, DBT, Matillion ETL, and Python or R.
As a part of Zapier's all-hands philosophy, help customers via support to ensure they have the best experience possible.
Travel - we come together 2-3 times per year for our employee retreats, typically in North America. You should expect to travel between 5 percent.
The Whole Package
Our flexible, distributed environment lets us work with the best people from around the world. Zapiens live in 40+ countries, including the United Kingdom, Thailand, India, Nigeria, Taiwan, Guatemala, New Zealand, Australia, and more!
Zapier offers:
Competitive salary and profit-sharing program
Equity for All: Stock options (or equivalent) for every Zapien
Healthcare + dental + vision coverage*
Retirement plan with 4% company match*
$2,000 annual learning stipend for use on courses, conferences, and more—your choice
Two annual all-company retreats
14 weeks paid leave for new parents of biological or adopted children
Customized Zapiversary rewards on your 1, 3, 5, 7 and 10 year work anniversaries
Leading-edge equipment. We set you up with an Apple laptop and provide an additional budget for you to choose other home office accessories and software you may need.
Time to renew. We encourage Zapiens to take at least 2 weeks off each year. Most of us take 4-5 weeks, in addition to locally recognized holidays
Opportunity to work with Zapier’s amazing partners network
*While we take care of Zapiens around the world the best we can, healthcare and retirement plans are currently available specifically in the UK, Canada, and United States.
How to Apply
We have a non-standard application process designed to promote inclusion and equity. We first ask a few questions in our application form that would typically be asked at the start of an initial interview. This helps speed up the process and lets us get to know you a bit better right out of the gate. Please be sure to answer each question; the resume and CV fields are optional.
After you apply, you are going to hear back from us—even if we don’t see an immediate fit with our team. In fact, throughout the process, we strive to make sure you never go more than seven days without hearing from us.
Zapier is an equal opportunity employer. We're excited to work with talented and empathetic people, and do not discriminate based on race, color, sex, gender identity or expression, sexual orientation, religion, national origin, physical or mental disability, military or veteran status, genetic information, pregnancy, age, or any other status protected by local law. Our code of conduct provides a beacon for the kind of company we strive to be, and we celebrate our differences because those differences are what allow us to make a product that serves a global user base.
Zapier is is committed to inclusion. As part of this commitment, Zapier will ensure that people with disabilities are provided reasonable accommodations. If reasonable accommodations are needed to participate in the job application or interview process, please contact jobs@zapier.com.


Senior Data Scientist

The world’s first customer platform helping internet businesses accelerate growth☝
Intercom is the only suite of customer messaging products that drives growth at every stage of the customer lifecycle—across acquisition, engagement, and support. Today more than 25,000 businesses use Intercom to connect with a billion people worldwide.
Join the company helping businesses grow revenue through live chat, and so much more.
What's the opportunity? 🤔
The Research, Analytics & Data Science (RAD) team at Intercom use data and insights to drive evidence based decision-making. We're a team of data scientists and product researchers who use data — both big and small — to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value to our customers. If you get really excited about asking the right questions, exploring patterns in data and surfacing actionable insights that drive strategic decisions, then this role is for you.
Data Scientists in RAD partner with teams across R&D to help Intercom make sense of our users, our products and our business, using metrics and data. This role will enable you to drive key data projects that directly impact our customers and millions of end users who communicate via our messaging platform daily.
What will I be doing? 🚀

You’ll partner with product teams to help them identify important questions and answer those questions with data
You’ll work closely with product managers, designers and engineers to develop key product success metrics, to set targets, to measure results and outcomes, and to size opportunities
You’ll design, build and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables.
You’ll partner closely with product researchers to build a holistic understanding of our customers, our products and our business.
You’ll influence our product roadmap and product strategy through experimentation, exploratory analysis and quantitative research
You’ll build and automate actionable models and dashboards
You’ll craft data stories and share your findings and recommendations across R&D and the broader company
You’ll drive and shape core RAD foundations and help us improve how the RAD org operates

What skills do I need? 📖

4+ years experience working with data to solve problems and drive evidence-based decisions
Excellent SQL skills and good knowledge of statistics
Proven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervision
Excellent communication skills (technical and non-technical) and a focus on driving impact
Strong growth mindset and sense of ownership. Innate passion and curiosity

Bonus skills & attributes 🙌

Experience with a scientific computing language (such as R or Python)
Experience with BI/Visualization tools like Tableau, Superset and Looker
Experience with data modeling and ETL pipelines
Experience working with product teams

Benefits 😍
We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! :)

Competitive salary and equity in a fast-growing start-up
Employer matched pension contribution
Company bonus programme
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Open vacation policy and flexible holidays so you can take time off when you need it
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organisation. We're committed to an inclusive and diverse Intercom! We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.


Data Scientist

Welcome to Planet. We believe in using space to help life on Earth.
Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.
Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles.
As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.
We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.
Planet is headquartered in San Francisco, California, Earth.
About the Role:
Planet is looking for an entrepreneurial data scientist. This role reports to the Head of Analytics and provides quantitative insights to support Planet’s product and technology teams (and beyond). Data science at Planet is not just about making it easy to understand what’s already happening; it’s about strategically understanding opportunities and influencing our roadmap through quantitative analysis of our products, customers, and market.
Impact You’ll Own:

Be the champion for the customer, from identifying their challenges and opportunities in data, to highlighting potential solutions.
Collaborate with your team and cross-functional teams across product, engineering, design, and more to understand and optimize Planet’s suite of products
Catalyze innovation by identifying and analyzing opportunities for new products and strategies

What You Bring:

3+ years of experience in data science supporting commercial or government software products
Strong skills in modelilng, analysis, and/or hypothesis testing using statistical techniques and data visualization
Experience with SQL, scripting languages like Python, and business intelligence systems
A passion for Planet’s mission to use space to help life on Earth

What Makes You Stand Out:

Experience with world-class data science teams working in fast-paced, customer-centric cultures
A growth mindset and a desire to learn quickly
Ability to communicate effectively with technical and non-technical audiences
Experience with cross-timezone team coordination
Proven problem solving skills

Benefits While Working at Planet:

Additional company winter holidays and regular global days off
Remote friendly work environment
Giving back to the community - one day per quarter for charitable work
Learning and Tuition Reimbursement
Home office budget
Employee Resource Groups providing safe and empowering spaces for connection and mentorship
Contribution to our growth by offering equity options for employees

Some Press About Us:
Our CEO, Will Marshall featured on TED and featured in a Planet Blog
“Planet: Bringing Space Back Down to Earth”
Tiny, privately owned satellites are changing how we view the Earth features in NBC News
“Planet And Rocket Lab Create Mission Patch To Honor Women In Aerospace” —Planet Blog
Why we care so much about Belonging.
We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate  north star of Belonging, dreaming big as we approach our ongoing work with diversity, equity and inclusion.  If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply!  At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description.  We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts.  We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride.
EEO statement:
Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.
Accommodations:
Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the interview process, please call Planet's front office at 669-214-9404 or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.
Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
#LI-REMOTE
#LI-DM1


Senior Data Scientist

Angi® is transforming the home services industry, creating an environment for homeowners, service professions and employees to feel right at “home.” For most home maintenance needs, our platform makes it easier than ever to find a qualified service professional for most indoor and outdoor jobs, home renovations (or anything in between!). We are on a mission to become the home for everything home by helping small businesses thrive and providing solutions to financing and booking home jobs with just a few clicks.
Over the last 25 years we have opened our doors to a network of over 200K service professionals and helped over 150 million homeowners love where they live. We believe home is the most important place on earth and are embarking on a journey to redefine how people care for their homes. Angi is an amazing place to build your dream career, join us—we cannot wait to welcome you home!
The Team and Role Angi is looking for a Senior Data Engineer to play a key role on the Data Engineering team. The successful candidate will develop and maintain strong relationships with teammates while ensuring delivery of high quality Engineering solutions.  The ideal candidate will have outstanding communication skills, proven data infrastructure design and implementation capabilities, strong business acumen, and an innate drive to deliver results. He/she will be a self-starter, comfortable with ambiguity and will enjoy working in a fast-paced dynamic environment.
As a Senior Data Engineer, you will be responsible for:

Establishing and instilling innovative practices, patterns, and toolkits to deliver enterprise-grade data assets.
Interact closely with stakeholders to determine analytics needs and translate those into efficient and scalable data processes
Partnering with passionate counterparts to deliver awesomeness and continuously evaluate the best way to deliver short-term and long-term solutions

The folks in this role are usually successful when they have experience in:

Extensive hands on experience in developing reusable data integration and streaming platforms using Python or another comparable language
Broad knowledge of data infrastructure ecosystem
Experience with modern cloud database platforms, such as Snowflake or Redshift
Strong Analytical and SQL skills with demonstrated strength in data modeling, ELT development, and data warehousing
Experience with GitLab, CI/CD workflows, AWS services, containerization (Docker), Grafana, and orchestration tools
Proven track record of sharing outcomes through written communication, including an ability to effectively communicate with both business and technical teams

Compensation & Benefits:

The salary band for this position ranges from 160k-210k, commensurate with experience and performance. Compensation may vary based on factors such as cost of living.
This position will be eligible for a competitive year end performance bonus & equity package.
Full medical, dental, vision package to fit your needs
Flexible vacation policy: work hard and take time when you need it
Pet discount plans & retirement plan with company match (401K)
The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world

#LI-Remote
#BI-Remote


Data Science Lead

The team  ❤
The data team is here to build, maintain and serve the best in class data platform to the whole of MoonPay, enabling all the teams to be able to take key data driven decisions and gain further insights into our operations. We're well established within MoonPay but there is still more than ample opportunity for you to come in with your own ideas and help shape our future.
Tech Stack 💻
GCP, BigQuery, Postgres, Python, Airflow, DBT, Looker

What you’ll do 👀

Lead the data science team by identifying and leaning into opportunities to advance the data science discipline at MoonPay.
Mentor and manage a small team of data scientists of various levels (from associate to senior).
Establish and scale the design of MoonPay’s data science platform.
Decide on what priorities require the most attention; help set goals and metrics in order to influence product and operational decisions.
Work closely with business partners and articulate their data science needs.
Work cross functionally with other teams to streamline processes towards successful deliverables.
Work closely with talent and recruiting teams to grow and scale up the team.
Collaborate with the rest of the data team to improve our overall data ecosystem and enforce best practices across the team and department.

You should apply if you have the following ✅

5+ years of experience in a data science role within a fast-paced, agile and highly variable environment, preferably within the technology sector.
1+ years in a lead position, either as a technical or people lead.
Advanced SQL knowledge.
Advanced knowledge and experience in an object-oriented language, ideally Python, but others are considered.
Deep and broad understanding of statistics, especially as applied to experimentation and testing
Deep and broad understanding of model building, deployment and maintenance.
Be able to apply machine learning principles and techniques within the context of various business needs.
Demonstrated ability to convey clear narratives about complex data models and concepts to audiences with varying levels of technical knowledge.
Keen eye for operational and technical excellence.


Senior Data Scientist

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

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

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

Design and implement model features using medical and pharmacy claims data, engagement data, and other data sources.
Build, maintain, monitor and improve numerical model pipelines in one or multiple areas of Data Science expertise, such as machine learning, linear programming, causal inference, MLOps, etc.
Collaboration: You will work with teams across the organization to design and build data-driven solutions, and add value to the company.

Who You Are:

Advanced degree (MSc or PhD) from a highly quantitative discipline, such as statistics, physics, computer science, electrical engineering, operations research, etc.
At least 3 years of professional/similar experience in relevant industries.
Solid knowledge of statistics. Previous experience in applying statistical concepts in business / policy / research settings.
High proficiency in Python / R, Linux and cloud computing.
High proficiency in machine learning using xgboost, scikit-learn, Spark MLlib, etc.
Highly skilled in data processing and analytics with SQL, Pandas (Python), PySpark, etc.
Hands-on experience in handling large-scale datasets, thoughtful feature engineering, and predictive model pipeline development and deployment.
Experience with production data science best practices.
Experience with healthcare data, psychology, or operations research is a plus
Good communication and presentation skills.
Experienced in collaboration of machine learning product development with other engineers and scientists.
Thrives in a team environment, and focuses on the success of the team and company.
Both technically and strategically savvy. Strives to work smarter, not harder.
Passionate about the advancement of technology and how it can improve our workflow.

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


Senior Data Scientist

Who we are...
AvantStay delivers exceptional, unique stays for group travelers. The company has built a tech-enabled millennial hospitality brand to be the new standard for group experience. We are venture funded and growing rapidly in the explosive $100+ billion dollar STR industry.

What we are looking for...
AvantStay is looking for a Senior Data Scientist that will help enable data driven decision making on our Revenue Management and Finance teams. These efforts are key to enabling the optimizing of revenue and dynamic pricing practices, underwriting and other financial and analytical actions which are central to our continued success as we grow into new markets and increase the number of properties in our portfolio each month.

The position requires strong critical thinking and analytical skills to provide business intelligence through thoughtful problem solving, data collection, validation, analysis, modeling, forecasting, and visualization. The ideal candidate must be self driven to provide insights and recommendations in a fast-paced environment that values collaboration, integrity, and accountability. Strong communication and leadership skills to present findings, discuss challenges, mentor others, and provide recommendations are essential for success.

What you’ll do...

Apply disciplined analytics that predict consumer behavior at the micro-market levels and optimize product price and restrictions to maximize revenue and profit growth.
Develop and apply machine learning models to maximize revenue by ensuring a property is listed for the right price, in the right place, at the right time, and for the right customer.
Design and drive the creation of new standards and best practices in the use of statistical data modeling, big data and optimization tools.
Gather and analyze data to solve and address highly complex business problems.
Evaluate scenarios to make predictions on future outcomes and provide prescriptive solutions that support decision making.
Explore and understand data and build advanced analytical models, then present and discuss the resulting models to any level of audience.
Be proactive in identifying new opportunities to capture, or risks to mitigate, improving existing reporting and models.
Support special studies and analyses for unique business problems and scenarios.

What you will bring...

Bachelor's in Math, Statistics, Computer Science, Engineering, or another quantitative field. An M.S. or Ph.D. is a plus.
Must have at least 3+ years of actual working experience performing advanced quantitative analyses.
Advanced hands-on working knowledge of Python, SQL, and Tableau required.
Working knowledge of revenue management, pricing strategy, or competitive intelligence is a plus.
Expertise in time series modeling, linear regression, advanced statistical methodologies such as mixed model (random and fixed effects), simultaneous equations, ARIMA, neural networks, and multinomial discrete choice.
Ability to apply mathematical operations to such tasks as cluster analytics, sampling theory and design of  experiments, analysis of variance, correlation techniques, and factor  analysis.
Experience using advanced optimization methodologies such as linear and mixed integer optimization as well as simulation modeling methodologies and techniques.
Utilize complex computer operations (intermediate programming in 3rd and 4th generation languages, relational databases, and operating systems) and advanced features of software packages (word-processing, spreadsheet,  graphics, etc.).
Must have experience with relational databases and building dashboards.
A strong passion for empirical research and for answering hard questions with data.

Perks & Benefits

Salary: $105K-$130K
Benefits and Unlimited Paid Time Off
Team bonding and off-site events
Complimentary and discount stays at AvantStay properties

When you join AvantStay… You’ll be doing work that matters alongside an experienced and dynamic team, transforming the way people travel and vacation.  Your place within the colossal travel and real estate industries will leave you with a wealth of opportunities to feel both challenged to innovate and rewarded for your efforts. Of course, we will offer you pay and benefits, but we’re about more than that. AvantStay is a place where you can craft your own path to greatness. Whether you think in code, words, pictures or numbers, find your future at AvantStay.

Equal Employment Opportunity...We're proud to be an equal opportunity employer- and celebrate our employees' differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. Different makes us better.

AvantStay, Inc. is a proud member of PledgeLA, an organization that believes that Los Angeles will become the most diverse and civically-engaged tech hub in the nation. Our members, tech companies and VC firms or accelerators based in Los Angeles, commit to increasing their level of community engagement and improving diversity, equity, and inclusion within their organization and investments.


Senior Nlp Data Scientist

Paper is looking for a Senior Data Scientist - NLP to join the growing R&D team. You will be responsible for performing research and applying techniques in natural language processing, machine learning, and information retrieval.
In this role, you will be responsible for designing and implementing algorithms to solve technical problems and you are expected to adopt a scientific approach when conducting R&D experiments. You will spend a significant amount of time planning, building, and deploying NLP custom and off-the-shelf solutions while working closely with our engineers. You should be self-directed and comfortable conducting applied research in collaboration with a wide range of stakeholders and cross-functional teams. As an ideal candidate, you need to have a strong background in mathematics/statistics/computer science or a related field.
This position can be located in any geography in the US or Canada.
Responsibilities:

Design, develop, evaluate and deploy ML / NLP techniques.
Mine and analyze data from the company databases to create standardized datasets.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Assess the effectiveness and accuracy of new data sources and data collection techniques.
Use predictive modeling to improve service delivery, customer experience, and other business outcomes.
Develop custom data models and algorithms.
Coordinate with different functional teams to implement models and monitor outcomes.
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

Qualifications:

4+ years of hands-on experience building neural networks, statistical models and machine learning techniques, with a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field.
Extensive experience with Python and common data science libraries (Numpy, Scipy, Pandas, Matplotlib, Seaborn).
Thorough familiarity with machine learning libraries (Scikit-learn, TensorFlow, Pytorch) and NLP libraries (NLTK, spaCy, CoreNLP, Gensim, TextBlob).
Knowledge of a variety of machine learning techniques (supervised and unsupervised, clustering, regression, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Experience with putting Machine Learning models into production.
Comprehensive knowledge of GCP cloud computing services.
Experience with visualizing/presenting data for business stakeholders.
Strong problem solving skills with an emphasis on product development.
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies and techniques.
Experience using other statistical computer languages (R, MatLab, etc.) to manipulate data and draw insights from large data sets is a plus.

Experience using graph learning is a plus.

Job perks:

Work with a dynamic team that provides support whenever you get stuck.
100% remote work.
Bi-annual company wide meetups.
Opportunity for career development with a fast-growing company.
A unique opportunity to make an impact by making education more equitable.

#LI-Remote #LI-HD01


Lead Data Scientist

Paper is looking for a Lead Data Scientist to join the growing R&D and Data Science team. In this role, you will be responsible for managing technical aspects of data science projects to ensure the success of delivered solutions. You will spend a significant amount of time designing, planning, and executing technical solutions. You will work closely with our applied research scientists and engineers across the organization. You must be self-directed and comfortable providing guidance on applied research projects in Analytics and Machine Learning domains. You are eager to collaborate with a wide range of stakeholders and functional teams. The ideal candidate will have a strong background in mathematics/statistics/computer science or a related field.
This position can be located in any geography in the US or Canada.
Responsibilities:

Identify strategic technical objectives and lead data science technical roadmaps from ideation to implementation.
Improve the technical quality of the codebase via developing quality standards, leading training sessions, and enforcing code review processes.
Work with stakeholders throughout the organization to identify roadblocks and execute to unblock technical hurdles.
Mentor and coach data scientists on the team by providing direct feedback or comments in code reviews as well as leading pair sessions.
Lead rituals such as planning and retrospective meetings and backlog grooming to ensure consistent velocity.
Manage the team’s workload by controlling technical debt.
Collaborate with different functional teams and communicate technical and non-technical decisions.

Qualifications:

5-7 years of experience in data analytics and building statistical models, with a Master’s or PhD in Statistics, Mathematics, Computer Science or another quantitative field.
+2 years of experience leading highly technical and analytical teams.
Proficiency in Python and Data science libraries including Numpy, SciPy, Pandas, Scikit-Learn, Tensorflow, Pytorch, MatplotLib and Seaborn (R and Matlab is a plus).
Experience manipulating data and drawing insights from large data sets.
Solid knowledge of production infrastructure and pipelines for Data science solutions.
Knowledge of a variety of machine learning techniques (supervised and unsupervised, clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Experience working with and creating data architectures.
Knowledge of GCP cloud services.
Experience visualizing/presenting data for business stakeholders.
Strong problem solving skills with an emphasis on product development.
A drive to learn and master new technologies and techniques.
Excellent written and verbal communication skills for coordinating across teams.

Job perks:

Work with a dynamic team that provides support whenever you get stuck.
100% remote work.
Bi-annual company wide meetups.
Opportunity for career development with a fast-growing company.
A unique opportunity to make an impact by making education more equitable.

#LI-remote #LI-HD01


Decision Science Analyst Ii Machine Learning Remote Work Available

Purpose of Job
We are seeking a talented Decision Science Analyst II for either our San Antonio Home Office, Plano Campus, Phoenix Campus, Charlotte Campus, Colorado Springs Campus, Tampa Campus, or 100% Remote Work Environment.
Provide analytic and machine learning model support for business areas across the enterprise.  Staff in this role will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make ‘insight to action’ recommendations to improve business outcomes. This role will also provide support for in-development and in-production machine learning models by wrangling data, helping to develop and execute monitoring plans, ensure model performance, and make adjustments and improvements to model structure as needed.
Provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
Primary Responsibilities:
Identifies and manages existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.Leverages intermediate business, analytical and technical knowledge to participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies.Applies advanced analytical techniques to solve business problems that are typically medium to large scale with impact to current and/or future business strategy.Applies scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.  Translates recommendation into communication materials to effectively present to colleagues for peer review and senior/lead analysts.Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.Supports identifying and gathering the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.Adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Delivers analysis/findings in a manner that conveys understanding, influences up to mid level management, garners support for recommendations, drives business decisions, and influences business strategy.
When you apply for this position, you will be required to answer some initial questions.  This will take approximately 5 minutes.  Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Minimum Requirements:
Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.2 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance) OR Advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline.Demonstrates intermediate knowledge of mathematical and statistical techniques and approaches used to drive fact-based decision-making.Intermediate knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
Preferred Experience:
Familiarity with basic machine learning techniques, such as linear and logistic regression, gradient boosted trees, and random forests.Exposure to machine learning validation and/or performance modeling, especially in a financial services setting.Ability to work closely and independently with IT and business partners.Exposure to manipulating non-structured data, such as natural language or images.
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $60,300 - $108,600 *(this does not include geographic differential it may be applied based on your work location).
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness.  These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs.  Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.


Decision Science Analyst Lead Marketing

Purpose of Job
We are seeking a talented Decision Science Analyst Lead for our San Antonio Corporate office or remote work environment available.
Provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.
Job Requirements
About USAA
USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.
Primary Responsibilities:
Identifies and manages existing and emerging risks that stem from business activities and the job role. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled. Follows written risk and compliance policies and procedures for business activities. Leverages expert business, analytical and technical knowledge to lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.Applies advanced analytical techniques to solve business problems that are typically large scale with significant impact to current and/or future business strategy.Organizes and oversees the development of requirements/resources necessary to meet established objectivesApplies innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations to answer the business objective and drive the appropriate change. Translates recommendation into communication materials to effectively present to all levels of management.Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.Monitors, understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.Succinctly delivers complex analysis/findings in a manner that conveys understanding, influences senior executives, garners support for recommendations, drives business decisions, and influences business strategy.Provides subject matter expertise in operationalizing recommendations.Researches and pursues the latest and/or industry leading  practices in data and analytics, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) to advance the overall DSA community knowledge.Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc) or formal (E.g. Certifications or advanced coursework). ). Innovates to create new and emerging data sets, and incorporation (data wrangling, data munging) into new insights
When you apply for this position, you will be required to answer some initial questions.  This will take approximately 5 minutes.  Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.
Minimum Requirements:
Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline OR 4 years work experience in statistics, mathematics or quantitative analytics or related experience can be substituted in lieu of a degree in addition to the minimum years of work experience required (total 12yrs experience in lieu of degree)8 years of data & analytics experience; OR 6 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing etc.) for a total of 8 years combined experience; OR advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline and 6 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing, etc.).3 years of direct and/or indirect management experience.Demonstrates expert skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.Expert knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
Preferred Experience:
Prior experience with planning and forecasting marketing effectiveness based on the marketing budget allocated by the businessPrior planning and forecasting experience focused on expected results driven by a set budgetExperience implementing emerging technology and techniques for analytical purposesPrior digital marketing analytical experience in Insurance; knowledge of marketing analytical process and measurement frameworkAbility to work on multiple projects in a fast-paced environment with limited supervisionStrong relationship management and negotiation skills; ability to influence senior leadership and drive business resultsTesting experience – designing, leading, executing, and analyzing results
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
Compensation:
USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market position. The salary range for this position is: $106,800 - $192,300*( this does not include geographic differential it may be applied based on your work location)
Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors.
*Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average.
Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours.
Benefits:
At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness.  These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs.  Additionally, our career path planning and continuing education assists employees with their professional goals.
Please click on the link below for more details.
USAA Total Rewards
Relocation assistance is not available for this position.