Senior Data Scientist Consumer

At Coinbase, 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 Web3 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 ourmission-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.
Data Science is an integral component of Coinbase’s product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company’s bottom line.
Specifically, we’re looking for a Senior Data Scientist to join our Coinbase One team. CB1 is our new subscriptions offering which provides a wide array of benefits for a fee. As a DS on this team, you’ll build models and frameworks to explore the incrementality of additional benefits, devise testing frameworks to understand cannibalization, help determine the rollout strategy for international expansion, among other impactful and exciting projects.
What you’ll be doing (ie. job duties):
Devise testing plan to better understand key product metrics and inform expansion strategy.
Act as a strategic partner to functional teams: initiate and execute deep analyses and models to help prioritize opportunities and provide actionable recommendations.
Build new analytics and machine learning models that improve both our insights and the product directly.
Measure business performance, develop / refine core metrics and create reporting to understand and monitor them.
Synthesize data learnings into compelling stories and communicate them throughout Coinbase and to senior executives.
Initiate, develop and maintain data pipelines and data models with outstanding craftsmanship.
What we look for in you (ie. job requirements):
Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
Understanding of statistical concepts and experience in applying them.
Related, understanding of experimentation best practices and concepts (e.g., incrementality, cannibalization, etc.)
Experience in data analyses using SQL.
Experience in at least one programming language (preferably Python).
Ability to independently create plans for analytics projects and a track record of overseeing large / complex analytical projects spanning multiple teams.
BA / BS degree or equivalent practical experience. 5+ years relevant experience, or or PhD degree in related fields + 2 years.
Nice to haves:
Previous experience working with subscriptions products is a plus.
Domain experience in product, marketing, growth, and/or other business analytics areas.
Job #: P51409
Pay Transparency Notice:  Depending on your work location, the target annual salary for this position can range from $201,450 to $237,000 + target bonus + target equity + benefits (including medical, dental, vision and 401(k)).
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 Know Your Rights 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. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here.


Data Scientist Full Time Contractor

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

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

Responsibilities:

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

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

Competitive Pay (USD)
Fully Remote Position
Work for a leading U.S.-based learning technology company
A once-in-a-lifetime opportunity to help transform how the world learns!
A fun, collaborative, and team-oriented work environment with plenty of training and a feedback-rich culture

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


Senior Data Scientist Marketing Science

At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we work to change the way the world reads by building the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals, and more. In addition to works from major publishers and top authors, our community includes over 1.9 M subscribers in nearly every country worldwide.

Have you heard about our future of work program, Scribd Flex? As a key principle, we embrace flexibility and allow employees, in partnership with their manager, to choose the work-style that best suits their individual needs and preferences. And, we create intentional in-person moments with each other that build culture and connection.

About the Team
The mission of the business strategy & analytics team is to ensure the entire company understands business performance and trends, and to empower all business teams to make good decisions with data. We partner with marketing on strategy and positioning, and we manage the announcement of product launches, updates, and major initiatives. It's our job to maximize Scribds potential by delighting our readers and helping our company grow. Scribd is seeking a senior data scientist to develop and implement data-driven strategies to optimize our paid marketing campaigns.

About You
You are a curious person who is highly analytical, loves solving ambiguous business problems through exploratory analysis. You have a growth mentality and are excited by a fast paced environment. You have great business intuition that helps you create actionable insights, focusing on user experience, impact, and learning from data.

You Will:

• You will be a key player in partnering with paid marketing stakeholders to understand, prioritize, design and marketing spend optimizations.

• You'll be the driving force behind the data-driven decision-making process, helping shape our marketing strategy.

• You'll have frequent communication with stakeholders and leadership on how we're progressing against our goals, learnings we have, risks we foresee, and where we need support from the organization.

• You will communicate complex statistical concepts and insights to non-technical stakeholders.

• You'll be responsible for developing and maintaining models that will help forecast and optimize paid marketing performance.

• You'll be working on exciting projects such as building customer LTV models, mixed media modeling, optimizing channel investments, and implementing incrementality measurement.

• You'll be providing support in media strategy, measurement, and optimization to help achieve our marketing goals.

You Have:

• Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related field.

• 5+ years of experience in a data science role.

• Experience with marketing research and statistical modeling (e.g., bayesian methods, causal inference, regression modeling, classification models, Markov chains, forecasting).

• Experience with conducting quantitative analyses and research.

• Proficient in programming languages such as Python and R.

• Expert in SQL.

• Experience with data visualization tools like Looker, Tableau or Power BI.

• Strong communication and collaboration skills.

• Ability to work independently and manage multiple projects simultaneously.

• Plus if you have experience working in paid marketing.

• Plus if you have experience with Looker and LookML.

At Scribd, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $123,500 [minimum salary in our lowest geographic market within California] to $200,250 [maximum salary in our highest geographic market within California].

Outside of California, the reasonably expected salary range is between $102,000 [minimum salary in our lowest US geographic market outside of California] to $190,250 [maximum salary in our highest US geographic market outside of California].

We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.

Benefits, Perks, and Wellbeing at Scribd
*Benefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work.
• Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees
• 12 weeks paid parental leave
• Short-term/long-term disability plans
• 401k/RSP matching
• Tuition Reimbursement
• Learning & Development programs
• Quarterly stipend for Wellness, Connectivity & Comfort
• Mental Health support & resources
• Free subscription to Scribd + gift memberships for friends & family
• Referral Bonuses
• Book Benefit
• Sabbaticals
• Company wide events
• Team engagement budgets
• Vacation & Personal Days
• Paid Holidays (+ winter break)
• Flexible Sick Time
• Volunteer Day
• Company-wide Diversity, Equity, & Inclusion programs

Want to learn more about life at Scribd?  www.linkedin.com/company/scribd/life

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We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process.

Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
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Remote employees must have their primary residence in: Arizona, California, Colorado, Connecticut, Delaware, DC, Florida, Hawaii, Iowa, Massachusetts, Maryland, Michigan, Missouri, Nevada, New Jersey, New York, Ohio, Oregon, Tennessee, Texas, Utah, Vermont, Washington, Ontario (Canada), British Columbia (Canada), or Mexico. *This list may not be complete or accurate, and candidates should speak with their recruiter about their specific location for remote work.

 #LI-Remote


Senior Data Scientist

Who are we and why should you join us?BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world’s largest online therapy service – providing affordable and convenient therapy in 210 countries and over 60 languages across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we’re not stopping there – as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution. As a Senior Data Scientist at BetterHelp, you’ll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We seriously invest in our team’s well-being and professional development, because we know that business and individual growth go hand-in-hand.  At BetterHelp, you’ll carve your own path, make an immediate impact, and be challenged every day – with a supportive community behind you the whole way.What are we looking for?BetterHelp is looking for a Senior Data Scientist to help us scale and increase our impact. You will use data to drive insight into the product and business with a focus on therapist growth, retention, and quality. The ideal candidate would have experience analyzing large and complex data sets related to web products. You'll be doing plenty of experiment design and post-hoc analysis, both to support product improvements and business decisions.What will you do? Get insight from an enormous amount of data, and take a proactive role partnering with the product team in finding and testing data-driven ideas for improving our products.  Collaborate with the product team and development team to design effective, statistically rigorous experiments, including simple A/B tests as well as more advanced experiment designs that account for complexities such as network effects. Monitor and analyze several product tests with statistical rigor, present the data and insights to the team, and drive product decisions. Look at complex problems and come up with testable models and algorithms that have measurable business impact. Enjoy great teamwork, have lots of fun, and take pride in building a world-class product that makes a difference in people's lives. What will you NOT do?  You will NOT worry about funding. We have startup DNA, but we're fully backed and funded by our parent company, Teladoc Health. You will NOT be confined to your "job". We believe in nurturing employees’ interests and passions – even if some of them lie outside of your core responsibilities. You will NOT be bogged down by office politics, egos, or bad attitudes. Only positive, pleasure-to-work-with people are allowed here! You will NOT get burned out. We work hard, but we also believe in maintaining sustainable work/life balance. Seriously. You will NOT have to wonder why you’re doing the work you’re doing. Our day-to-day operations translate into people getting the help they need. Can I work remotely?Yes. We operate in Pacific Time and candidates in any time zone are welcome to apply. We also ask our employees to travel to our Mountain View, CA office up to six times per year to collaborate in person in order to build better working relationships and experience our in-office culture. Travel expenses will be covered and reasonable accommodations will be made for those under unique circumstances who cannot travel. BSc/MA/MSc in a quantitative discipline such as Statistics, Math, Economics, or Engineering At least 5-8 years of experience in a quantitative data analysis role involving user behavior (e.g. marketing, product, UI/UX) and large data sets Expertise in statistics, especially as it relates to hypothesis testing and experiment design Experience analyzing A/B tests as well as experiments with more advanced statistical methods like difference-in-difference, regression discontinuity, or other methods that deal with network effects or panel data Experience building predictive models and causal inference models Experience analyzing large and complex data sets to drive business insights and decisions Expertise in using tools like R and Python for data analysis Proven success supporting or making business decisions based on your data analysis Excellent communication skills, with experience simplifying complex topics and communicating technical ideas with non-technical audiences Advanced experience with SQL  Competitive salary & equity compensation Excellent health, dental, and vision coverage 401k benefits with employer matching contribution Unrivaled perks program (including free therapy, UberEats, and more) Remote work with regular in-person bonding experiences sponsored by the company Office in the heart of downtown Mountain View, a three-minute walk from Caltrain Commuter benefits, FSA accounts, and Employee Stock Purchase Programs The chance to build something that changes lives – and that people love  Any piece of hardware or software that will make you happy and productive An awesome community of co-workers The base salary range for this position is $150,000- $200,000. In addition to the base salary, this position is eligible for a performance bonus, RSUs, and the extensive benefits listed here (subject to eligibility requirements): Teladoc Health Benefits 2023. Total compensation is based on several factors – including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable to all full-time positions.At BetterHelp we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. We never have and never will discriminate against any job candidate or employee due to age, race, ethnicity, religion, sex, color, national origin, gender, gender identity, sexual orientation, medical condition, marital status, parental status, disability, or Veteran status.


Data Scientist

Who are we and why should you join us? BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world’s largest online therapy service – providing affordable and convenient therapy in 210 countries and over 60 languages across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we’re not stopping there – as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution.As a Data Scientist at BetterHelp, you’ll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We seriously invest in our team’s well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you’ll carve your own path, make an immediate impact, and be challenged every day – with a supportive community behind you the whole way. What are we looking for?BetterHelp is looking for a Data Scientist to help us scale and increase our impact. You will use data to drive insight into the product and business with a focus on therapist growth, retention, and quality. The ideal candidate would have experience analyzing large and complex data sets related to web products. You'll be doing plenty of experiment design and post-hoc analysis, both to support product improvements and business decisions.What will you do? Get insight from an enormous amount of data, and take a proactive role partnering with the product team in finding and testing data-driven ideas for improving our products. Collaborate with the product team and development team to design effective, statistically rigorous experiments, including simple A/B tests as well as more advanced experiment designs that account for complexities such as network effects. Monitor and analyze several product tests with statistical rigor, present the data and insights to the team, and drive product decisions. Look at complex problems and come up with testable models and algorithms that have measurable business impact. Enjoy great teamwork, have lots of fun, and take pride in building a world-class product that makes a difference in people's lives. What will you NOT do? You will NOT worry about funding. We have startup DNA, but we're fully backed and funded by our parent company, Teladoc Health. You will NOT be confined to your "job". We believe in nurturing employees’ interests and passions – even if some of them lie outside of your core responsibilities. You will NOT be bogged down by office politics, egos, or bad attitudes. Only positive, pleasure-to-work-with people are allowed here! You will NOT get burned out. We work hard, but we also believe in maintaining sustainable work/life balance. Seriously. You will NOT have to wonder why you’re doing the work you’re doing. Our day-to-day operations translate into people getting the help they need. Can I work remotely?Yes. We operate in Pacific Time and candidates in any time zone are welcome to apply. We also ask our employees to travel to our Mountain View, CA office up to six times per year to collaborate in person in order to build better working relationships and experience our in-office culture. Travel expenses will be covered and reasonable accommodations will be made for those under unique circumstances who cannot travel. BSc/MA in a quantitative discipline such as Statistics, Math, Economics, or Engineering At least 2-4 years of experience in a quantitative data analysis role involving user behavior (e.g. marketing, product, UI/UX) and large data sets Expertise in statistics, especially as it relates to hypothesis testing and experiment design Experience analyzing A/B tests as well as experiments with more advanced statistical methods like difference-in-difference, regression discontinuity, or other methods that deal with network effects or panel data Experience building predictive models and causal inference models Experience analyzing large and complex data sets to drive business insights and decisions Expertise in using tools like R and Python for data analysis Proven success supporting or making business decisions based on your data analysis Excellent communication skills, with experience simplifying complex topics and communicating technical ideas with non-technical audiences. Advanced experience with SQL Bonus (Great to have but not required)Experience analyzing two-sided marketplaces Experience with B2C, marketplace products Experience with BI tools like Tableau and Looker  Competitive salary & equity compensation Excellent health, dental, and vision coverage 401k benefits with employer matching contribution Unrivaled perks program (including free therapy, UberEats, and more) Remote work with regular in-person bonding experiences sponsored by the company Office in the heart of downtown Mountain View, a three-minute walk from Caltrain Commuter benefits, FSA accounts, and Employee Stock Purchase Programs The chance to build something that changes lives – and that people love  Any piece of hardware or software that will make you happy and productive An awesome community of co-workers The base salary range for this position is $90,000 - $160,000. In addition to the base salary, this position is eligible for a performance bonus, RSUs, and the extensive benefits listed here (subject to eligibility requirements): Teladoc Health Benefits 2023. Total compensation is based on several factors – including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable to all full-time positions.At BetterHelp we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. We never have and never will discriminate against any job candidate or employee due to age, race, ethnicity, religion, sex, color, national origin, gender, gender identity, sexual orientation, medical condition, marital status, parental status, disability, or Veteran status.


Senior Data Scientist Modeler

EBANX is a global fintech founded in 2012 with a mission to be the leading payments partner in rising markets. With its own technology and infrastructure, combined with in-depth knowledge of the Latin American market, EBANX allows these companies to connect to hundreds of payment methods in different countries in the region. And it goes further, creating results for businesses and simple shopping experiences for consumers.
From the beginning of our journey, we have an important mission: to give access. And this is not just about our products and services, but it goes through everything we are and do. We believe that it is only possible to innovate with diversity, so we cherish differences in gender, race, nationality, disability, sexual orientation, religion and age. Plurality is what makes our Big Dream possible.
We are called ebankers and we are changing the way people buy, connect, and live globally. Let's make history together?
We are seeking a talented Senior Data Scientist to join our team of excellence in Machine Learning solutions. The ideal candidate will be responsible for driving complex and impactful projects within the company, providing insights, and leading strategic Data Science initiatives for the creation, maintenance, and continuous improvement of our products. As a Senior Data Scientist, you will play a crucial role in discovering business opportunities, developing advanced predictive models, and implementing innovative solutions that ensure our superiority in the payments market. Initially, the candidate will work on solutions such as fraud prevention platforms, intelligent payment flow routers, anomaly detectors, among others.
Responsibilities:

Lead projects involving analysis of structured and unstructured data, from identifying requirements to final delivery, ensuring quality and accuracy of results.
Collect, clean, and transform large volumes of data into suitable formats for analysis.
Build and maintain machine learning models relevant to the payments industry, such as real-time transactional models, anomaly detection, routing optimization, and churn prediction.
Collaborate closely with developers and core business areas (fraud prevention, finance, commercial, products, and marketing) to define business problems and develop data-driven solutions.
Propose new projects, calculate their business value, and collaborate as a cooperative team player, establishing strong relationships with colleagues.
Document all developed code thoroughly.
Work on the operation and maintenance of our finished products and those in the value-generation phase, acting as an interface between our products and internal clients, welcoming their demands with a positive attitude and respect.

Train new members and career-transitioning collaborators.

Main requirements for this position:

Proficiency in writing complex code using languages such as Python, Pyspark, and SQL.
Relevant work experience with core compute and storage cloud services, preferably AWS.
Previous experience in designing and building supervised machine learning models using Random Forests, Boosting, XGBoost, SVM, or Deep Learning. Some experience with at least one of the main libraries/frameworks like Sklearn, PyTorch, and TensorFlow.
Understanding of the trade-offs and implementation differences between batch and streaming processing.
Relevant work experience with AWS tools such as EMR, SageMaker, Lambda Function, Athena, DynamoDB, Sagemaker Feature Store, ElastiCache, and S3.
At least two and a half years of experience as a data scientist in the financial sector (banks, payment companies) or e-commerce. Internship phase should not be included in this reference period.
Degree in Computer Science, Engineering, Statistics, Mathematics, or related fields.
Diploma or certificate demonstrating theoretical coursework in data science, either through reputable online platforms like Coursera and DataCamp or through formal education.
Advanced level of English is necessary to enable conversations with vendors, clients, and foreign colleagues. Reading and writing documentation in English will be required frequently.

EBANX offers:

A challenging environment, with opportunities to grow;
Casual office and flexible dress code;
Spanish, English and Portuguese classes;
WAVES - Program of goals and results (variable compensation);
EBANX Play - Wellness (Gympass, e-Sports, SESC );
Semi flexible hours (8 hours a day - Monday to Friday);
Meal Allowance;
Transportation voucher (if needed);
EBANX Education: scholarship;
EBANX Skills: budget for workshops and courses;
EBANX Flexible: monthly Day Off from February to November, birthday Day Off and Rest up Month - one month of paid leave every three years of work anniversary.
EBANX Family: Daycare assistance, extended leave for caregivers and support program for children and pregnant women;
EBANX Health: Health and Dental Insurance, with subsidy for dependents, and medicine subsidy for ebankers;
Life Insurance: Life Insurance 100% paid by EBANX
Hello ebanker: psychology, finance and legal orientation.
Blue Club: Exclusive discount for ebankers in bakeries, restaurants, courses, electronics store and more!

Follow us on LinkedIn and check out our Instagram to learn more about the #ebanxlife.


Senior Data Scientist Mlops

EBANX is a global fintech founded in 2012 with a mission to be the leading payments partner in rising markets. With its own technology and infrastructure, combined with in-depth knowledge of the Latin American market, EBANX allows these companies to connect to hundreds of payment methods in different countries in the region. And it goes further, creating results for businesses and simple shopping experiences for consumers.
From the beginning of our journey, we have an important mission: to give access. And this is not just about our products and services, but it goes through everything we are and do. We believe that it is only possible to innovate with diversity, so we cherish differences in gender, race, nationality, disability, sexual orientation, religion and age. Plurality is what makes our Big Dream possible.
We are called ebankers and we are changing the way people buy, connect, and live globally. Let's make history together?
We are seeking a talented Senior Data Scientist to join our team of excellence in Machine Learning solutions. The ideal candidate will be responsible for driving complex and impactful projects within the company, providing insights, and leading strategic Data Science initiatives for the creation, maintenance, and continuous improvement of our products. As a Senior Data Scientist, you will play a crucial role in discovering business opportunities, developing advanced predictive models, and implementing innovative solutions that ensure our superiority in the payments market. Initially, the candidate will work on solutions such as fraud prevention platforms, intelligent payment flow routers, anomaly detectors, among others.
Responsibilities:

Design, build, and maintain scalable machine learning infrastructure, including data pipelines, model deployment, and monitoring systems.
Collaborate with data scientists and ML engineers to understand their needs and implement best practices for machine learning workflows and lifecycle management.
Establish and enforce MLOps standards, guidelines, and methodologies across the organization.
Evaluate and select appropriate tools and technologies to support end-to-end ML development and deployment processes.
Troubleshoot and resolve production issues related to machine learning models and infrastructure.
Optimize ML infrastructure for performance, scalability, and cost-efficiency.
Monitor ML model performance and proactively identify potential issues or areas for improvement.
Continuously research and stay current with the latest trends and best practices in MLOps, sharing knowledge with the team.
Facilitate cross-functional communication and collaboration to ensure smooth integration of ML solutions with existing systems.

Mentor junior team members, providing guidance and support for their professional growth in MLOps.

Main requirements for this position:

Proficiency in writing complex code using languages such as Python, Pyspark, and SQL.
Relevant work experience with core compute and storage cloud services, preferably AWS.
Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Proficiency in building and maintaining data pipelines and ETL processes, preferably using tools like Apache Airflow, Step Functions and so on.
Strong understanding of software engineering best practices, including version control, code reviews, and CI/CD.
Hands-on experience with cloud platforms (preferably AWS) and containerization technologies (e.g., Docker, Kubernetes).
At least two and a half years of working experience with ML model deployment strategies, monitoring, and lifecycle management.
At least two and a half years of experience as a data scientist in the financial sector (banks, payment companies) or e-commerce. Internship phase should not be included in this reference period.
Degree in Computer Science, Engineering, Statistics, Mathematics, or related fields.
Diploma or certificate demonstrating theoretical coursework in data science, either through reputable online platforms like Coursera and DataCamp or through formal education.
Advanced level of English is necessary to enable conversations with vendors, clients, and foreign colleagues. Reading and writing documentation in English will be required frequently.

EBANX offers:

A challenging environment, with opportunities to grow;
Casual office and flexible dress code;
Spanish, English and Portuguese classes;
WAVES - Program of goals and results (variable compensation);
EBANX Play - Wellness (Gympass, e-Sports, SESC );
Semi flexible hours (8 hours a day - Monday to Friday);
Meal Allowance;
Transportation voucher (if needed);
EBANX Education: scholarship;
EBANX Skills: budget for workshops and courses;
EBANX Flexible: monthly Day Off from February to November, birthday Day Off and Rest up Month - one month of paid leave every three years of work anniversary.
EBANX Family: Daycare assistance, extended leave for caregivers and support program for children and pregnant women;
EBANX Health: Health and Dental Insurance, with subsidy for dependents, and medicine subsidy for ebankers;
Life Insurance: Life Insurance 100% paid by EBANX
Hello ebanker: psychology, finance and legal orientation.
Blue Club: Exclusive discount for ebankers in bakeries, restaurants, courses, electronics store and more!

Follow us on LinkedIn and check out our Instagram to learn more about the #ebanxlife.


Senior Data Scientist

Veeva is a mission-driven organization that aspires to help our customers in Life Sciences and Regulated industries bring their products to market, faster. We are shaped by our values: Do the Right Thing, Customer Success, Employee Success, and Speed. Our teams develop transformative cloud software, services, consulting, and data to make our customers more efficient and effective in everything they do. Veeva is a work anywhere company. You can work at home, at a customer site, or in an office on any given day. As a Public Benefit Corporation, you will also work for a company focused on making a positive impact on its customers, employees, and communities.

The Role

Link is a pillar in the Veeva system landscape that envisions "Connecting life sciences and key people to improve research and care." Our product offers real-time academic, social, and medical data to build comprehensive profiles. These profiles help our life-science industry partners find the right experts to accelerate the development and adoption of new therapeutics. We accelerate clinical trials and equitable care. We are proud that our work helps patients receive their most urgent care sooner.

Your analysis will shape the product roadmap for a new Link product focused on large-scale semantic analysis and question/answering over heterogeneous documents from the medical domain, such as academic publications, clinical regulation, and therapeutic committee meeting notes. You will design and create an end-to-end pipeline to extract predefined categories of information from big unstructured data in multi-domain and multi-lingual setups. You will create a semantic search capability that can answer user queries regarding certain aspects of data. You will have access to cloud infrastructure to develop your model and support from a team of software developers and DevOps engineers to deploy it to production.

We want to develop new algorithms to redefine the industry expectations for quality vs. quantity compromise. We train ML models empowered by over 1900 curators to meet both the quality and the scale requirements. ML models complement and learn from continuous curation and scale our solutions to different regions, languages, and medical specialties.

You can work remotely anywhere in Germany or The Netherlands, but you have to live in Germany or The Netherlands and be legally authorized to work there without requiring Veeva's support for a visa or relocation. If you do not meet this condition but you think you are an exceptional candidate, please clarify it in a separate note, and we will consider it.

What You'll Do

Adopt the latest technologies and trends in NLP to your platform
Experience with training, fine-tuning, and serving Large Language Models
Design, develop, and implement an end-to-end pipeline for extracting predefined categories of information from large-scale, unstructured data across multi-domain and multilingual settings
Create a robust semantic search functionality that effectively answers user queries related to various aspects of the data
Use and develop named entity recognition, entity-linking, slot-filling, few-shot learning, active learning, question/answering, dense passage retrieval, and other statistical techniques and models for information extraction and machine reading
Deeply understand and analyze our data model per data source and geo-region and interpret model decisions
Collaborate with data quality teams to define annotation tasks and metrics and perform a qualitative and quantitative evaluation
Utilize cloud infrastructure for model development, ensuring seamless collaboration with our team of software developers and DevOps engineers for efficient deployment to production

Requirements

4+ years of experience as a data scientist (or 2+ years with a Ph.D. degree)
Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field
Strong theoretical knowledge of Natural Language Processing, Machine Learning, and Deep Learning techniques
Proven experience working with large language models and transformer architectures, such as GPT, BERT, or similar
Familiarity with large-scale data processing and analysis, preferably within the medical domain
Proficiency in Python and relevant NLP libraries (e.g., NLTK, SpaCy, Hugging Face Transformers)
Experience in at least one framework for BigData (e.g., Ray, Spark) and one framework for Deep Learning (e.g., PyTorch, JAX)
Experience working with cloud infrastructure (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes)  and experience with bashing script
Strong collaboration and communication skills, with the ability to work effectively in a cross-functional team
Used to start-up environments
Social competence and a team player
High energy and ambitious
Agile mindset

Nice to Have

Background in Medical NLP
Experience in the life/health science industry, notably pharma
Having published in AI space in a peer-reviewed journal
Production-grade Development Skills
Leadership skills and a solid network to help in hiring and growing the team
Experience with NoSQL databases, especially MongoDB
Familiarity with model registry solutions such as MLflow

Perks & Benefits

Work anywhere
Personal development budget
Veeva charitable giving program
Fitness reimbursement
Life insurance + pension fund

#RemoteGermany

Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.


Senior Data Scientist

Job description
The Senior Data Scientist will work integrally with the analytics and development team to develop algorithms for the purpose of extracting and leveraging insights from data to improve accuracy of outputs and speed of optimization. The Data Scientist will be an integral member of the core team charged with developing programs and tools that derive actionable insights and identify opportunities. He/She will be relied upon for thought leadership and viewpoints rooted in the principles of data science.
Essential duties and responsibilities
· Build and develop intellectual property through the development of algorithms using machine learning approaches to data analysis
· Apply advanced data analytics and machine learning techniques to solve challenging problems
· Identify patterns and trends from large, high-dimensional datasets
· Actively identifies opportunities to gather performance insights from available data and proactively pursues opportunities to leverage secondary data and resources necessary to develop and enhance predictive models
· Assist in the creation and implementation of analytics platforms and programs
· Follows all company health and safety procedures
· Performs other related duties as required or assigned
Education and Experience
Education
Advanced degree (M.S. or Ph.D) in Applied Statistics, Machine Learning, or Applied Mathematics
Experience
Minimum 5-10 years related experience required
Specific knowledge required
The Data Scientist will demonstrate:
· Exceptional understanding and ability to apply quantitative statistical methods of analysis to solve complex business and marketing challenges
· Extensive knowledge of econometric and/or statistical modeling for the purpose of building predictive models
· Exceptional knowledge and experience in advanced statistical computation using statistical software packages
· Prior experience applying machine learning algorithms at scale in products
· Knowledge and experience in modern machine learning techniques
· Strong attention to detail with the ability to scrutinize large data sets for data integrity and effectively identify and treat outliers and data anomalies
· Strong ability to analyze and interpret raw data and make sound recommendations to senior executive teams and clients
· Familiarity with Tableau and/or DOMO visual reporting platforms a plus
· Strong understanding of SQL a plus
· Software engineering experience and familiarity with one or more of the following: C#, Java, Python, a plus
Ocean Media Perks:
Competitive salary and annual performance bonus
Work from anywhere in the US: At Home, In Office, or a mix of both
18 Paid company holidays and 10+ Paid Summer/Fall Fridays
Paid Vacation and Sick Leave for all new employees
Baby bonding benefit
Annual all agency retreat, as well as regional team building activities
Subsidized medical benefits
Fun thematic parties for employees
Work from home and continuing education re-imbursements available
Snacks, drinks, and catered lunches in the office
Compensation Range: $150-$200k/year. This is the pay range Ocean Media reasonably expects it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on level of experience, relevant skills, professional certifications, market pay, and demand for the role. Ocean Media reserves the right to modify this pay range at any time.
EEO/Minorities/Females/Disabled/Veterans

						Back to Careers


Data Scientist

We Are Overstock:At Overstock.com, we believe that everyone should “Be You!”. Overstock is a community that upholds a culture of understanding, acceptance, and respect. We believe a person’s individuality is at the core of diversity, and those traits, beliefs, and characteristics should be valued and embraced. Living by this ethos is essential to the success of our business. Our goal is to foster a more diverse environment where every employee visibly demonstrates inclusive behaviors and respect for individuals.This position is eligible for remote work. Currently we can hire employees in the following states: Arizona, California, Connecticut, Florida, Idaho, Kansas, Maine, Massachusetts, Michigan, Minnesota, New Hampshire, New Jersey, New York, North Carolina, Ohio, Pennsylvania, Rhode Island, South Dakota, Texas, Utah, Washington, Wisconsin, Wyoming. This role will have occasional on site expectations.Job DescriptionThe data science group at Overstock tackles some of the hardest analytical problems facing our multifaceted, multibillion dollar business.The team works with large data sets to give product guidance, detect anomalies, forecast, and predict. This requires an understanding of not just strong mathematical and technical foundations, but also business acumen and communication skills to drive value.A data scientist is somebody who can look at a complicated technical problem, figure out the useful questions, do what is necessary to get the answers, and then implement solutions based upon those answers. A great data scientist is curious about learning and understanding as much about the business as he or she can, can direct that curiosity towards insights that drive major business improvements, and can communicate those insights effectively to anybody in the company who could benefit from them.Job Responsibilities
Gather, clean, report, and interpret data rapidly and thoughtfully. Ingest large volumes of data, identify the critical signal in all that information, and then act on that signal to drive millions in growth or savings.
Perform ad hoc analyses using statistics, machine learning, and data mining techniques.
Partner with product, engineering, and business teams to solve problems and identify opportunities.
Perform analysis and build models to inform prioritization and planning of the product roadmap.
Design and analyze experiments to generate actionable outcomes.
Perform self-directed ad-hoc analysis to identify drivers of business outcomes.
Report findings, recommendations, and conclusions resulting from analysis. The more people understand an insight, the more useful it is. Your insights can make a huge difference at Overstock, but only if they're understood.
Construct informative and insightful visualizations. A good visualization can be the difference between confusion and comprehension.
ETL and analysis of large-scale data using SQL, Hadoop, and related tools.
Build tools that enable other teams to perform and understand analytics.

Perform other duties as required and assigned by manager and upper management.
Follow legal policies as directed.
Job Requirements
2-4 years relevant work experience
Strong intellectual curiosity combined with a knack for recognizing correlations, trends, and statistical irregularities.
Strong understanding of foundational statistical concepts and methods including hypothesis testing.
Proficient with SQL and relational databases.
Familiarity with statistical data analysis tools (Python, R, etc.).
Exposure to Big Data technologies (e.g. Hadoop).
Experience with regression and classification modeling.
Ability to create clear, informative data visualizations.
Preferred
1+ years relevant experience.
Familiarity with Online and Digital Marketing as well as Direct Marketing.
Interpretation of and exposure to the development of financial forecasts.
Refined presentation skills and story development.
Experience with semi-structured and unstructured data.
Experience working with a product or business team to identify valuable opportunities and executing on them.
§ Familiarity with one or more of anomaly detection, optimization, causal inference, clustering techniques.
SkillsSQL, Python/R, Bi tools, Microsoft Excel, and statistical analysis methodsEducationAn undergraduate degree in Statistics, Mathematics, Computer Science, Information Systems, Business Analytics, Economics, other related STEM fields or equivalent work experience is preferred.Master’s degree preferred.Base Pay Range:$ 88,000.00  -  $110,000.00 per yearWho We Are:We’re a passionate group of collaborative problem solvers and creative innovators, working on cutting-edge technology. From building award-winning retail applications (with amazing AR functionality) to creating leading blockchain and machine learning technologies, each of us embodies a unique value and contributes a diverse perspective to the team.
What We Offer:
401k (6% match)
Flexible Schedules
Onsite Health Clinic
Tuition Reimbursement, Leadership Development Program, & Mentorship Program
Onsite Fitness Center
Overstock Women's Network (OWN)
And More…
*Benefits vary based on position, tenure, location, and employee electionPhysical Requirements:This position requires you to sit, stand and perform general office functions. You may also be required to lift up to 25 pounds occasionally. Bending, stooping and reaching are also frequently required.Equal Employment Opportunity:It is our policy to provide equal employment opportunity for all applicants and associates.  This policy includes our commitment to ensure that all employment decisions are made without regard to race, color, religion, gender, national origin, disability, pregnancy, veteran status (including Vietnam era veterans), age, sexual orientation, gender identity, or any other non-job-related characteristic protected by law.Back to Overstock Careers


Vp Data

Want to help us, help others? We’re hiring!
GoFundMe is a global community of over 100 million people with the common purpose of helping one another. Our mission is to help people help each other by making it safe and easy for people to ask for help and support causes—for themselves, each other, and their communities. In 2022, GoFundMe joined together with Classy, a leading nonprofit fundraising software company that enables nonprofits to connect supporters with the causes they care about. Together, GoFundMe and Classy have empowered people and organizations to raise more than $25 billion since 2010. Our vision is to become the most helpful place in the world.
Join us! The GoFundMe team is searching for a VP of Data with a passion for data insights, data engineering and a relentless focus on execution. In this role you will lead our Data Insights and Data Engineering teams and bring the analytical rigor required to solve complex, ambiguous, and high-visibility business challenges to drive user growth, engagement, and user satisfaction with our platform. You and your team will work cross-functionally with senior leaders from research, product, design, development, marketing, and other teams to help build world-class products by making strategic recommendations via investigative deep-dives and hypothesis-driven insights.  You and your team will be responsible for building a world class data platform that unlocks impactful insights that drive customer success and the growth of our business.
You will be a good fit if you enjoy digging deep into data, excel in problem-solving, mobilizing execution through cross-functional collaboration and have demonstrated success in managing complex data challenges. This strategic role will report directly to the CFO and is located in the Western part of the US.
The Job…

You will manage the structure, priorities, development, and operations of a team of Data Scientists, Business Intelligence Analysts and Data Engineers. Additionally, you’ll be tasked with enabling the broader organization to best leverage our data team and tools.
You and your team will answer a wide range of tactical and strategic questions about our users and overall business performance. You’ll work closely with leaders across the organization to proactively identify and scope their business intelligence and data analysis needs, provide recommendations on the best metrics to measure and watch, and turn data into critical insights that can be used to make sound business decisions.
Coach and mentor a group of team members on day-to-day delivery
In partnership with our data engineering team, you will play a major role in structuring the people, processes, and data structure we need to maximize our data and analytics capabilities.
Identify key metrics and make recommendations that drive decision-making and business prioritization
Define and cultivate best practices in analytics instrumentation and experimentation
Analyze consumer product performance and health, triage issues, and provide recommendations on the best course solution and optimization.
Lead the Data Engineering team and provide recommendations on data pipeline requirements to enable feature tracking and resolve complex data and tracking issues
Partner with the executive team and key leaders across product, engineering, marketing, sales, communications, customer care, and business operations to derive actionable insight from the data to help our users be even more successful on our platform.

You…

15+ years of professional experience, including data science, analytics, business intelligence, or data engineering. Proven track record in building and managing high-performing data science, data engineering and analytics teams.  B.S. in a quantitative field; advanced degrees preferred.
Will lead a Data Science, Business Intelligence and Data Engineering teams and your technical expertise makes you a valuable sounding board and mentor to the current team and future hires. Pride yourself on being a servant leader and have extensive experience as a people manager, coach, and mentor.
Bring a wealth of experience and institutional knowledge from consumer internet businesses.
Experience with data science programming languages such as SQL, R, and/or Python plus data visualization tools such as Looker, and comfortable working with large, complex, and potentially messy datasets.
Understand statistics/machine learning (e.g. hypothesis testing, statistical inference, regression) and experience designing and evaluating complex experiments
Exceptional communication skills, both written and verbal.  Ability to influence cross-functional teams by building successful relationships and partnering across the organizational structure.
Seamlessly package key takeaways from analyses and communicate insights to all levels of the organization. You can easily switch between technical discussions with team members to presenting high-level insights to leadership audiences (and everything in between),
Measured, clear, and concise communication & presentation skills.
Strong project management skills and experience
Action-oriented and solution-driven with the ability to thrive in a fast pace environment
Manage highly confidential information with professionalism and unquestionable integrity
Passion for understanding our customers and their behavior
Excited about GoFundMe's mission.  Ethics, Values, and Inclusion

Why you’ll love it here...

Market competitive pay
Rich healthcare benefits including employer paid premiums for medical/dental/vision (100% for employee only plans and 85% for employee + dependent plans) and employer HSA contributions.
401(k) retirement plan with company matching
Hybrid workplace with fully remote flexibility for many roles
Monetary support for new hire setup, hybrid work & wellbeing, family planning, and commuting expenses
A variety of  mental and wellness programs to support employees
Generous paid parental leave and family planning stipend
Supportive time off policies including vacation, sick/mental health days, volunteer days, company holidays, and a floating holiday
Learning & development and recognition programs
Gives Back Program where employees can nominate a fundraiser every week for a donation from the company
Inclusion, diversity, equity, and belonging are vital to our priorities and we continue to evolve our strategy to ensure DEI is embedded in all processes and programs at GoFundMe. Our Diversity, Equity, and Inclusion team is always finding new ways for our company to uphold and represent the experiences of all of the people in our organization.
Employee resource groups
Your work has a real purpose and will help change lives on a global scale.
You’ll be a part of a fun, supportive team that works hard and celebrates accomplishments together.
We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose.
We are a certified Great Place to Work, are growing fast and have incredible opportunities ahead!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We are committed to providing diversity, equity, and inclusion training to all employees, and we do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.
The total annual salary for this full-time position is $260,000 - $340,000 + bonus + equity + benefits.  As this is a remote position, the salary range was determined by role, level, and possible location across the US. Individual pay is determined by work location and additional factors including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range based on your location during the hiring process.
Learn more about GoFundMe:
GoFundMe 2022 | Year in Help
GoFundMe Heroes
Why GoFundMe
We Support Justice + Equality


Senior Decision Scientist Core Data

Ibotta is seeking a Senior Decision Scientist, Core Data & Analytics to join our high performing team and contribute to our mission to Make Every Purchase Rewarding. Our relatively new and fast growing Core Data & Analytics team provides high-quality, on-time data products and services across all business areas within Ibotta. We do this through our thought leadership, subject matter expertise, evangelism, and governance of business-critical data initiatives.
As a Senior Decision Scientist, you’ll have the challenging and rewarding opportunity to build on the foundation of already established data and analytics products. You’ll be able to drive initiatives forward, being responsible for project completion. In addition, you will be able to grow organizational and leadership skills by working cross functionally with stakeholders, creating processes, building out robust roadmaps, and leading other team members working on the projects.
This position is located in Denver, Colorado or with the option of full-time remote. Candidates must live in the United States.
What you will be doing:
Drive consistency through the org by providing large and complex datasets to support data analysis and business decision-makingAnalyze large datasets to extract actionable insights to inform business decisions and understand consumer behaviorBring proactive insights into our key business metrics through curiosity, dedication, and ongoing investment in understanding our productsFormulate solutions addressing major business challenges and innovation opportunitiesContribute to creating best practices and efficient processes for the teamInitiate and drive collaboration with stakeholders to define project scope, responsibilities, and expectationsWork closely with our Instructional Design team to create curriculum, documentation, and training materials for the products you ownDetermine, with the assistance of our Analytics Engineering team, how to implement anomaly detection, data lineage, and other best practices on your deliverablesEmbrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & A good idea can come from anywhere
What we are looking for:
5+ years of experience in an analytical functionBachelor’s degree in computer science, engineering, analytics or related field requiredDemonstrated analytical ability, conceptual thinking, and problem-solving skillsStrong written and verbal communication skills, able to distill complex analytical solutions into actionable insightsExcellent interpersonal skills with the proven ability to collaborate across functional areas Curiosity and the commitment to continually ask questions of our data and businessAbility to translate ambiguous business questions into structured data problemsExcels in a fast-paced environment with the capability to prioritize effectivelyExpert using modern data analysis tools (SQL, Python, R, etc.)Familiar with data visualizations tools such as Looker and Mode
About Us:
Built in Denver, CO, Ibotta, Inc. ("I bought a...") is a free mobile shopping app that gives users cash back on groceries and more. Through our partnerships with brands and retailers like Procter & Gamble, Kraft Heinz, Kellogg, Amazon, Walmart, Target and Uber, we’ve delivered over $1.25B in cumulative cash rewards to our Savers. Guided by our values and our mission to make every purchase rewarding, we come to work energized by the business problems we get to solve, the technology we get to build, and the people we get to innovate (and have fun) with. Ibotta made Inc.’s 2020 list of the 5000 fastest-growing private companies in the U.S. for the third consecutive year. In 2019, we became the first mobile consumer technology company in Colorado to achieve $1B in valuation.
To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com
Additional Details:
This position is located in Denver, CO or with the option of full-time remote and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, 401k match, and equity.Base compensation range: $100,000 - $120,000. This compensation range is specific to the United States labor market and may be adjusted based on actual experience.Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard with race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.Applicants must be currently authorized to work in the United States on a full-time basis.For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels.
#BI-Remote#LI-Remote
#BI-Hybrid


Decision Scientist Core Data

Ibotta is seeking a Decision Scientist, Core Data & Analytics to join our high-performing team and contribute to our mission to Make Every Purchase Rewarding. Our relatively new and fast-growing Core Data & Analytics team provides high-quality, on-time data products and services across all business areas within Ibotta. We do this through our thought leadership, subject matter expertise, evangelism, and governance of business-critical data initiatives.
As a Decision Scientist, you’ll have the challenging and rewarding opportunity to build on the foundation of already established data and analytics products. You’ll be able to drive initiatives forward, being responsible for project completion. In addition, you'll also be able to grow organizational and leadership skills by contributing to team and company best practices while learning from technology leaders who want you to be successful.
This position is located in Denver, Colorado or with the option of full-time remote. Candidates must live in the United States.
What you will be doing:
Analyze large datasets to extract actionable insights to inform business decisions and understand consumer behavior to support the decision-making processFormulate solutions addressing major business challenges and innovation opportunitiesDevelop a deep understanding of Ibotta's data ecosystem and analytics toolsBring proactive insights into our key business metrics through curiosity, dedication, and ongoing investment in understanding our productsContribute to creating best practices and efficient processes for the teamInitiate and drive collaboration with stakeholders and cross-functional teams to define project scope, responsibilities, and expectationsBuild and maintain dashboards, reports, and other analytics deliverablesWork closely with our Instructional Design team to create curriculum, documentation, and training materials for the products you ownEmbrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & A good idea can come from anywhere
What we are looking for:
3+ years of experience in an analytical functionBachelor’s degree in computer science, engineering, analytics, or a related field requiredDemonstrated analytical ability, conceptual thinking, and problem-solving skillsStrong written and verbal communication skills, able to distill complex analytical solutions into actionable insightsExcellent interpersonal skills with the proven ability to collaborate across functional areas Curiosity and the commitment to continually ask questions of our data and businessAbility to translate ambiguous business questions into structured data problemsExcels in a fast-paced environment with the capability to prioritize effectivelyExpert using modern data analysis tools (SQL, Python, R, etc.)Experience in building visualizations using business intelligence tools such as Looker and Mode
About Us:
Built in Denver, CO, Ibotta, Inc. ("I bought a...") is a free mobile shopping app that gives users cash back on groceries and more. Through our partnerships with brands and retailers like Procter & Gamble, Kraft Heinz, Kellogg, Amazon, Walmart, Target and Uber, we’ve delivered over $1.25B in cumulative cash rewards to our Savers. Guided by our values and our mission to make every purchase rewarding, we come to work energized by the business problems we get to solve, the technology we get to build, and the people we get to innovate (and have fun) with. Ibotta made Inc.’s 2020 list of the 5000 fastest-growing private companies in the U.S. for the third consecutive year. In 2019, we became the first mobile consumer technology company in Colorado to achieve $1B in valuation.
To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com
Additional Details:
This position is located in Denver, CO or with the option of full-time remote and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, 401k match, and equity.Base compensation range: $80,000 - $100,000. This compensation range is specific to the United States labor market and may be adjusted based on actual experience.Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard with race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.Applicants must be currently authorized to work in the United States on a full-time basis.For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels.
#BI-Remote#LI-Remote
#BI-Hybrid


Data Scientist Forecasting Canada

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.  Our employees bring deep expertise in Data Science, Machine Learning, and AI.  We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.   We are looking for a strong Data Scientist with statistics and economics background who can work on banking deposit products and forecast fund Flows in and out of the bank on a monthly/quarterly/yearly basis, given the frequently changing Fed rates.Key Responsibilities Effectively communicate the analytics approach and how it will meet and address objectives to business partners. Advocate and educate on the value of data-driven decision-making; focus on the “how and why” of solutions. Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers. Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products. Collaborate, coach, and learn with a growing team of experienced Data Scientists. Stay connected with external sources of ideas through conferences and community engagements. Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.   Master’s or Ph.D. in Statistics, Economics, Data Science, Computer Science, or a related field. At least 5+ years of extensive Time-Series Forecasting and Modeling experience – apply seasonality adjustments, incorporate exogenous variables, etc. Strong statistics foundation and knowledge of statistical packages in any coding language (preferably SAS or Python).Economics background – should know how to work with macroeconomic data/variables in Time-Series forecasting.Ability to use Marketing data as input to time-series models.Hands-on experience building models is a must.Data Visualization in Tableau (design, develop, publish, and automate Tableau dashboards).Proficiency with Python and SQL and ability to write complex SQL queries.Exceptional communication and collaboration skills to understand business partner needs and deliver solutions.This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.


Director Of Data Science Analytics

About Mynd:
Mynd is a tech-enabled real estate company serving the $85B+ property management and real estate investment market. In the past few years, consumers have gained access to free stock trades, greater transparency in the mortgage market, and apps that make managing their money more convenient. Yet real estate investment, the most powerful tool for building generational wealth, has largely been the purview of wealthier individuals and professional money managers.
Mynd is determined to overhaul that paradigm.
At Mynd, we’re on a mission to democratize access to happy homes and sustainable investments by making the purchase of single-family residential real estate as effortless as other types of investments. Investing in real estate can be intimidating, especially for first-time buyers. Moreover, many potential investors don’t want to buy real estate in their geographic area, or have been priced out of competitive big city housing markets.
With operations in 25 markets across the U.S. and real-time insights via our platform, we remove the time, communication, and geographic barriers traditionally associated with buying real estate. Investors can now find, purchase, lease, manage, and sell single-family rental properties 100 percent remotely.
Mynd is Best Places to Work certified, a Built In SF Best Places to Work 2022 winner, and was named the #1 fastest-growing East Bay company by the San Francisco Business Times in 2021. We’ve attracted talent from Starwood Waypoint Homes, The New York Times, McKinsey, BCG, Compass, Better, One Medical, Zillow, Upwork, WeWork, and Facebook. We’re backed by top VCs, including Lightspeed, Canaan, Jackson Square, and QED, and recently announced a $5 billion deal with Invesco Real Estate that will make us the largest buyer of single-family rental homes in the country.
Join us!
About this Role:
As the Director of Data Science and Analytics at Mynd, you will be at the forefront of driving the company's growth and success. Your role is critical in developing and operating innovative data science technologies that leverage analytics, statistics, and machine learning to drive product development and inform business decision-making at scale.
Mynd operates as a complex 4-sided marketplace, balancing value creation and extraction between four important stakeholders: property investors, residents, technicians, and property managers. Your contribution in this area will be essential, as you bring your expertise to the table and help create a win-win situation for all parties involved.
Your ownership in this role will be vast and rewarding. You will have the opportunity to support business analytics, design experiments for product development, build internal marketplaces, and develop production machine learning models. The impact of your work will be felt across the organization and beyond as you help Mynd continue to grow and succeed in this dynamic marketplace.
Get ready to roll up your sleeves and make a difference. As the Director of Data Science and Analytics at Mynd, you will have the power to drive innovation, transform the industry, and make a real impact on the lives of people around you. Let's get started!
Responsibilities

Establish a clear vision and mission for the data science department by working closely with senior business, product, and engineering leaders to develop strategic goals and direction for the company's Data Science platforms, as well a create a roadmap of data science projects
Lead the end-to-end planning and execution of all data analytics and science initiatives, ensuring their success and alignment with company goals
Institute best data science practices and grow the technical capabilities of the team to raise the data science functional bar through hiring, mentoring, and supporting the career growth of data team members at varying levels of experience
Develop analytical frameworks, models, roadmaps, and metrics for the team and broader organization
Define the roadmap of how Generative AI will inform the product roadmap. Inclusive of leveraging external generative AI technology as well as evolving Mynd’s strategy on how to use reinforcement learning from current users to refine models to Mynd use cases
Build a data-driven culture throughout the entire company by serving as a champion for data science and informed decision-making at all levels of the company, as well as making analytical techniques approachable and understandable to non-technical stakeholders
Conceive, develop, implement, and continually improve machine learning projects
Work with cross-functional partners and executives to define and achieve business goals, build data-informed business strategy and roadmaps, and improve the customer experience by leveraging data science, machine learning, and other analytical techniques

Qualifications

Advanced degree (e.g., M.S. or PhD) in computer science, statistics, engineering, mathematics or relevant discipline
7+ years of experience managing Data Science teams
10+ years of experience working in Data Science in Tech companies
Experience working with Product and Engineering teams with data science as en embedded function in the software development process
Proficient in model development using Python and SQL
Talent magnet: Evidence of attracting and hiring top talent from ICs through leadership level
Org change leader: Successful change-management leader with the proven ability to transform/optimize the structure of a data science organization
Process builder: Developed key processes to scale tech organizations (defined leveling rubrics, performance management processes, quality control processes, build/buy decisions, operational excellence)

Preferred Qualifications

Owned Data Science for a platform (consumer, commerce, or B2B) or marketplace
Entrepreneurial technical leader who has experience in a scaled environment (Startup and/or big tech experience)
Experience working in PropTech or regulated environment like FinTech, HealthTech
Experience working in a compliance environment with a focus on PII and AI bias
Experience working with generative AI technologies is a plus

Any offer of employment is conditioned upon the successful completion of a background investigation.
Compensation:
$192,000 - $260,000 annually. The compensation range may be adjusted based on experience and location.
At Mynd, we offer a robust, competitive & unique benefits package:

Unlimited time off
13 Paid holidays
Paid Parental Leave
Cash to purchase your own investment property through our “Project Investor Myndset” program
401k + Match
Wellness, home office, and cell phone subsidies
Volunteer time off
Robust health, dental, vision insurance, and more
Sabbatical program
Eligible to participate in Mynd’s equity program

At Mynd, we encourage all of our team members to:

Be Myndful
Always Be Entrepreneurial
Earn Trust
Play Team First
Be an ‘A’ Player
Think Like An Investor

As part of our dedication to diversity, Mynd is an Equal Opportunity Employer. Individuals seeking employment at Mynd are considered without regard to race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, citizenship status, or any other legally protected category.
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Data Scientist

605 is an independent TV measurement and analytics firm that offers advertising and content measurement, full-funnel attribution, media planning, optimization and analytical solutions. Comprised of engineers, analysts, data scientists, media experts and marketing strategists, 605 forges new paths using groundbreaking innovations that set industry standards for audience targeting and measurement.We are looking for an experienced Data Scientist to help develop solutions, codes and reports which solve the questions most pressing to the TV and media industry. Being able and excited to analyze large and messy data is part of the job, as is having the skills to flexibly work on a variety of tasks to maintain project success. As a Data Scientist you will be responsible for: coding, improving methods and efficiencies across the team, developing reports, project management, and cross team collaboration.A Data Scientist’s day-to-day tasks would include: Coding original R scripts as well as optimizing current scripts for the large majority of your day Applying or adapting methods to new problems, and developing new tools as needed Working independently or collaboratively on large and complex data science problems and analyses Leading client projects throughout the duration of their flight and delegating tasks accordingly Communicating with internal stakeholders and clients to develop analytical solutions within client context Working with client/sales teams to build new business opportunities  Bachelor's degree in a quantitative field 5+ years experience (or postgraduate degree(s) plus experience) in a comparable field 3+ years of coding and specifically 1+ years R coding Experience writing stable code that can be automated into larger product offerings Solid machine learning and/or statistical skills and intuition  Solid understanding of sampling, weighting, biased data, overfitting, ensemble methods, survey methodology, and causal inference Intellectual flexibility to adapt existing tools, algorithms, methods to new needs Strong ability to communicate about data structure and characteristics, analytical techniques, statistical findings, and solutions to a variety of audiences using data visualization and reporting tools such as ggplot2, matplotlib, Shiny, etc. Experience analyzing large and messy data Strict integrity, able to work with confidential, private, and high-value client information Can balance workload across a variety of different projects over the course of a week Find stable threads to explore within amorphous and changing business problems Excellent written skills to translate results to a variety of technical and non-technical audiences through white papers; reports; and internal, external, and client-facing presentations Preferred Skills: Proficiency with SQL Previous experience with Databricks (or other distributed computing environments) and familiarity with Spark SQL and Scala Master's degree in a quantitative field Experience working in analytics in the entertainment industry or in television or digital marketing Experience with the design and analysis of experiments Analysis of high-dimensional time series or event stream data Adapting, implementing, and scaling various machine learning techniques  Comprehensive medical, dental and vision insurance for employees and their families Company-paid life insurance, short and long term disability 401k with match Pre-tax flexible compensation plan for medical, transit, parking or dependent care expenses Generous vacation, personal and sick days Remote work model with office space in NYC and on Long Island 100% paid parental and family caregiving leave Educational reimbursement program A kitchen stocked with sodas, snacks, yogurt and other goodies A tight-knit startup community who likes to eat! We celebrate everyone’s birthdays, have frequent team lunches, and do events in and out of the office 605 is an active participant in conferences Candidates who meet the qualifications of this role can expect to earn an annual salary of $90,000 to $120,000.


Senior Data Scientist

The Opportunity at Komodo Health
The Solution Delivery team’s mission is to support customers and products through custom applications of our healthcare map along with actionable insights that enable Komodo to meet our business goals.
Our data scientists help build analytics pipelines and complex logic for complicated data projects that solve tangible customer use cases.
Looking back on your first 12 months at Komodo Health, you will have…

Delivered high-value data analytics projects that our existing data products could not cover
Worked with Product to help prototype new analytics offerings
Implemented or reviewed client solutions using techniques like ML or statistical analysis for targeted therapeutic areas in our patient population
Effectively partnered with customer-facing teams to reconcile client requirements with the capabilities of datasets available at KH
Incorporated a good understanding of the healthcare datasets at Komodo and client use-cases to effectively partner with data engineering teams for architectural decisions
Created a plan with the team to scale our solutions, automate code and centralize complex logic. Advocated for good engineering practices within the team like documentation and code reusability
Presented findings, insights and analytical results to internal partners for client deliveries, as well as the larger DS function for continued growth and learning

What you bring to Komodo Health:

Keenly analytical mindset and the ability to solve complex problems with limited supervision
Experience writing SQL queries, working with Relational Databases and proficient in scripting with Python
Ability to work well both independently and collaboratively, in a fast-paced and demanding agile environment
Interest in growing their skills as a Data Scientist and being willing to learn and teach as part of a team
Strong business acumen demonstrated by a good understanding of how analytics insights tie into business goals
High motivation, work ethic, and self-discipline to organize and complete tasks
Nice-to-have: industry knowledge on healthcare claims data, A/B testing, HEOR/RWE, actuarial modeling

Compensation at Komodo Health
We are committed to providing competitive compensation for all roles at Komodo Health. We carefully consider multiple factors when determining compensation, including your skills, experience, and location while balancing internal equity relative to peers at the company. The targeted base salary range for the Data Scientist role is $140,000 to $233,200 plus a competitive bonus and equity package.
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Director Of Data Science

The Opportunity at Komodo Health
The Director of Commercial Data Science would partner with the Analytics Consulting team to build the analytic service delivery vision and operating model; gain stakeholder buy-in to the model; scale the team; identify and implement efficiencies for profitability maximization; and lead a team of Data Scientists to execute on the technical delivery aspects of analytic services and measure impact. This is a high growth, high visibility role working with a dynamic and collaborative team of talented analytics practitioners, consultants, and healthcare leaders.
Looking back on your first 12 months at Komodo Health, you will have…

Gained a deep understanding of the anatomy of Komodo, with a focus on data and products.
Incorporated data science expertise to guide modeling techniques for addressing customer needs.
Helped set the strategy and vision as to how we design and deliver analytic solutions.
Led the team by defining and executing data science initiatives that align with overall business strategy and objectives
Collaborated with cross-functional teams including Engineering, Product Management, and Program. Management to provide input on project priorities, project estimates, and risk assessment for roadmapping initiatives.
Excelled in balancing the technical, managerial, and operational aspects of the role.

What you bring to Komodo Health:

Experience managing and developing managers as well as data science teams within a fast-paced environment.
Proficiency in Python and SQL with a passion for automation and efficiency-driven solutions.
Familiarity with large-scale data and computational technologies (e.g. Spark, Snowflake)
Knowledgeable in complex modeling topics, advanced statistics/biostatistics, algorithm design, and familiar with ML software packages.
Deep understanding of statistical modeling and analytics.
Experience collaborating with Product Management, Program Management, and Engineering teams to establish a comprehensive roadmap and long-term vision.
Comfort with complex technical and business problems, with a focus on empowering technical delivery.
Excellent leadership skills with a proven ability to inspire and motivate a team

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Data Scientist

The Opportunity at Komodo Health
The Solution Delivery team’s mission is to support customers and products through custom applications of our healthcare map along with actionable insights that enable Komodo to meet our business goals.
Our data scientists help build analytics pipelines and complex logic for complicated data projects that solve tangible customer use cases.
Looking back on your first 12 months at Komodo Health, you will have…

Delivered high-value data analytics projects that our existing data products could not cover
Worked with Product to help prototype new analytics offerings
Implemented or reviewed client solutions using techniques like ML or statistical analysis for targeted therapeutic areas in our patient population
Effectively partnered with customer-facing teams to reconcile client requirements with the capabilities of datasets available at KH
Incorporated a good understanding of the healthcare datasets at Komodo and client use-cases to effectively partner with data engineering teams for architectural decisions
Created a plan with the team to scale our solutions, automate code and centralize complex logic. Advocated for good engineering practices within the team like documentation and code reusability
Presented findings, insights and analytical results to internal partners for client deliveries, as well as the larger DS function for continued growth and learning

What you bring to Komodo Health:

Keenly analytical mindset and the ability to solve complex problems with limited supervision
Experience writing SQL queries, working with Relational Databases and proficient in scripting with Python
Ability to work well both independently and collaboratively, in a fast-paced and demanding agile environment
Interest in growing their skills as a Data Scientist and being willing to learn and teach as part of a team
Strong business acumen demonstrated by a good understanding of how analytics insights tie into business goals
High motivation, work ethic, and self-discipline to organize and complete tasks
Nice-to-have: industry knowledge on healthcare claims data, A/B testing, HEOR/RWE, actuarial modeling

Compensation at Komodo Health
We are committed to providing competitive compensation for all roles at Komodo Health. We carefully consider multiple factors when determining compensation, including your skills, experience, and location while balancing internal equity relative to peers at the company. The targeted base salary range for the Data Scientist role is $102,500 to $186,300 plus a competitive bonus and equity package.
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Team Lead Sr Data Scientist

About the Opportunity
Cleerly, Inc. is a technology-based healthcare company whose mission is tocreate digital care pathways to prevent heart attacks. Cleerly, Inc, in Denver, CO is seeking aTeam Lead, Sr. Data Scientist to lead multiple machine learning (ML) research anddevelopment projects.

Job responsibilities and duties include:• Direct the research and development of various prototypes to be developed bythe company for state-of-the-art machine learning models with applications incoronary CT angiography.• Provide subject matter expertise on novel technologies and lead the team in thedevelopment of the next generation of quantitative computer aided diagnosissystems.• Serve as a liaison for our multi-disciplinary, cross-functional Data Science teamsto ensure cohesive research and analysis, as well as to ensure the build of the MLalgorithms and pipeline.• Mentor and coach less experienced colleagues.• Conduct senior-level analyses of the algorithms and prototypes being researchedand developed.• Research new methods of measuring and analyzing large and highly complicateddata sets based on mathematical models and principles.• Build, and/or oversee build of, prototypes for experimentation.• As a senior-level Team Lead, present findings and recommendations internally tocompany heads, as well as externally to groups of clinical experts and otherstakeholders.• Lead the team by both validating and challenging ideas both from technical andproduct point of view to ensure the highest-caliber research and development• Stay abreast of current and novel developments in the field through reading,conferences, and other research opportunities.• Derive mathematical proofs for the machine learning algorithms to support thevalidity and rigorousness of Cleerly's product design.
• Support regulatory activities by providing technical expertise, and reviewingstudy/test-plan design• Develop and manage machine learning operations.
This position will have significant managerial authority over project development andmilestones, but does not hold any personnel management authority

Minimum requirements:
Master’s degree or higher in Mathematics, Statistics, ComputerScience, or a related STEM field of study, plus at least one (1) year of experience in the joboffered or in any relatedposition(s).Qualified candidates must also have demonstrable proficiency, knowledge, experience, orskill with the following (gained through education or employment):1. Experience in deep learning and prototype development in a professional setting.2. Experience with image science, the physics of image formation, and appliedmathematics.3. Experience with large-scale machine learning platforms including PyTorch orTensorFLow.4. Experience in advanced data analytics, including structured and unstructureddata, data mining, and ML techniques.5. Experience with at least one of the following programming languages: Python,Julia, or R.
Less than 5% domestic travel. Work from home benefit is available.

Additional Information:- Job Site: 110 16th Street, Suite 1400 #104, Denver, CO 80202- EOE.- Must be legally authorized to work in the United States without sponsorship

Salary - $130,000 - $150,000