Data Scientist Ii

Why TrueML?

TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML’s approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions.

The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system.

The Opportunity:

You will join a team dedicated to creating a data driven culture and improving the efficiency and dependability of the way we make decisions. Our data scientists develop algorithms that enhance the collections process for our consumers, lead automation initiatives in the company and help create insights to better understand our product and performance.

We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team. As a Senior Data Scientist, you will play a crucial role in driving data-driven decision making and providing insights that contribute to our customers' experience. Your primary responsibilities will include leading projects independently, applying your business acumen to find the gaps in the system, and applying machine learning skills to solve them. This is an excellent opportunity for an individual who possesses a strong passion for leveraging data to solve complex business problems.

What You'll Do:

Independently support data science projects, from problem formulation to model deployment, ensuring successful delivery and implementation.
Apply data and algorithmic thinking to identify and understand critical business challenges, and proactively propose data-driven solutions to address them.
Work cross-functionally to identify high impact business needs and translate them into technical requirements
Conduct exploratory data analysis to uncover trends, patterns, and correlations that provide a deep understanding of our products, customers, and market dynamics.
Utilize statistical techniques and machine learning algorithms to build predictive models, recommend improvements, and optimize business processes.

What We're Looking For:

Advanced degree in statistics, applied mathematics, computer science or equivalent preferred. A Master's or Ph.D. degree is preferred.
Minimum 2+ years of data science experience, with focus in machine learning, with a track record of successfully leading and delivering complex data science projects
Strong foundational skills: Python, pandas, SQL
Hands on experience with machine learning tools, techniques, and frameworks (e.g. sklearn, Tensorflow, etc)
Strong communication and interpersonal skills, with the ability to effectively collaborate with stakeholders at all levels of the organization.

$124,000 - $149,000 a year

Salary Disclosure: This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience, and other relevant factors.

Benefits, Perks, and Culture

- Everything you need to work remotely
- Unlimited PTO
- Medical/dental/vision insurance
- 401k through Charles Schwab with employer contribution matches
- Flexible Spending Account & Limited FSA
- Short + long term disability, company paid life insurance
- Family-friendly maternity and paternity leave
- Employee assistance program (EAP) via Claremont. Get free short-term counseling for mental health, free + discounted legal consultations, free financial consultations, access to work/life consultants, and more!
- Wellness Coach for you and 5 family members. Wellness Coach gives all TrueML employees access to 3000+ on-demand sessions about meditations, fitness, nutrition, and more!
- PerkSpot discount program. PerkSpot offers exclusive discounts to 900+ merchants nationwide, and has exclusive discounts up to 60% on hotels worldwide.
- Paid time off to do volunteer work in your community.

We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueAccord and make a difference.

Our Dedication to Diversity & Inclusion

TrueML and TrueAccord are equal opportunity employers. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

For California Applicants: we collect personal information for employment purposes. We do not sell personal information. Most of the information we have is provided to us by you and/or collected as part of the employment process. For more details on how we use, share, and delete personal information see our Privacy Policy.


Data Scientist Pxt Solutions

DESCRIPTION
Job summaryCome join the team that's won two Just Do It Awards and was recently featured during the April All Hands. Amazon's People Experience and Technology (PxT) Solutions team is seeking a Data Scientist to build machine learning and statistical models, using our world class data systems, to identify patterns in people data. The ideal candidate will thrive and have demonstrated success in an environment which offers ambiguously defined problems, big challenges, and quick changes. This role goes beyond just model generation and you will be expected to integrate the results of the models into our world class web portal.An ideal has extensive knowledge and practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems, dialogue systems, information retrieval.
BASIC QUALIFICATIONS
· Bachelors Degree with 5 years of experience· Experience in SQL and R, or Python· Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems, dialogue systems, information retrieval.· Track record of diving into data to discover hidden patterns and of conducting error/deviation analysis· Knowledge of various machine learning techniques and key parameters that affect their performance· Experience developing experimental and analytic plans for data modeling processes, using strong baselines, and determining cause and effect relations· Evidence of using of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. in data analysis projects· Excellent written and verbal communication skills for both technical and non-technical audiences
PREFERRED QUALIFICATIONS
A PhD in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent)· 10+ years of experience working in data science in a consumer product company.· 5+ years of experience managing Machine Learning Scientists, Data Scientists, Research Scientists, Applied Scientists, and/or Economists.· Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems, dialogue systems, information retrieval, XGBoost, LightGBM, ElasticNet.· Skilled with Java, C++, or other programming language, as well as with R, SAS, MATLAB, Python or similar scripting language.· Functional knowledge of AWS platforms such as S3, Glue, Athena, Sagemaker.· Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives.· Advanced knowledge and expertise with Data modelling skills, Advanced SQL with Oracle, MySQL, and Columnar Databases.· Ability to manage and quantify improvement in customer experience or value for the business resulting from research outcomes.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.


Data Scientist

At Earnest, we believe in a world where paying for your education takes less time than earning your degree.  Join us on our mission to empower anyone seeking higher education to reduce the total price tag of their degree, supercharge their ability to pay down student debt, and get on the right financial track fast.
A little background on Earnest: We're a remote first FinTech company with an accomplished team who believe consumer lending can be radically improved and are doing something about it. We are disrupting the trillion dollar student loan industry by redefining what it means to be creditworthy. We created a company that combines data science, streamlined design, and technology to:

Build products that simplify the lending process
Personalize loans to suit the needs of our customers
Engage with our customers through more human experiences

What makes an “Earnie” culture:
Earnest’s culture is as dynamic as the products we’re building and defining every day. We’re a fast-growing company, and that means we’re constantly integrating the new perspectives of every individual.
Earnies define our culture as:

Earn Happy Clients

Client happiness is our true north star.

Make it happen

We work hard to deliver high-impact results at rapid pace.

Growth Mindset

We love challenges, enjoy rigorous effort, and learn from our mistakes as we continuously improve.

Do great things together

Success is built on relationships.

Insist on high standards

We have relentlessly high standards and continuously raise the bar on the quality of everything: our products, services, processes, and people.

Our Earnie's are fun, innovative, and willing to rollup their sleeves to help their team succeed in a fast-paced environment. If this sounds like you, and you want to join us on our mission to radically disrupt a trillion dollar fintech industry, keep reading to find out how.
As a Data Scientist, you will report to the Lead Data Scientist and work closely with our Growth and Product teams and other members of the Data team on a variety of areas such as pricing optimization, experimentation, forecasting and credit risk models. The role involves close collaboration with data engineers as well as product and marketing teams. This position will also focus on designing experiments and deriving causal inferences from experimental results.
What you’ll do:
Depending on the project, you would:

Develop and support financial loan pricing and conversion optimization models
Build forecasting models on both product demand and internal operations backlog
Optimize product conversion by running A/B tests and other experimentation methods on our pricing, marketing and product models
Research and prototype models and present in model review sessions
Work with data and infrastructure engineers to deploy your model or develop required data pipelines to automate training and monitoring with BI tools
Prepare technical design and git/confluence documentation
Work with general managers, marketing and operation teams to identify and address their data modeling needs for better forecasting and planning

Ideal background and expertise:

2+ years in R/Python and SQL

2+ years professional experience in model development and/or data analytics (or Master's degree in Data Science, Operations Research, Industrial Engineering, Economics or a related quantitative field with 1+ years of professional experience in model development and analytics)

Expertise in statistical inference

Experience in product analytics and experimental design

Deep understanding of classification, regression and forecasting models and AB testing
Experience working in a cross-functional environment with teamwork and excellent communication skills

Bonus to have:

Understanding of financial metrics and bond markets
Understanding of econometrics and elasticity in pricing optimization
Experience with convex optimization
Experience with BI tools such as Looker, Tableau, PowerBI, etc.
Machine learning modeling experience

Earnest believes in enabling our employees to live their best lives. We offer a variety of perks and competitive benefits that include:

Health, Dental, & Vision benefits plus savings plans
Work anywhere in the U.S.
Mac computers + work from home stipend to set up your home office
Monthly internet and phone reimbursement
Employee Stock Purchase Plan
401(k) plan to help you save for retirement plus a company match
Robust tuition reimbursement program
$1,000 travel perk on each Earnie-versary to anywhere in the world
Competitive days of annual PTO
Annual “my day”
Pet insurance!
Competitive parental leave
Plenty of Earnest swag, optional in person team gatherings, picnics, celebrations, and plenty of fun virtual events

At Earnest, we are committed to building an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity, inclusion, equity, and belonging enables us to move forward with our mission. We are dedicated to adding new perspectives to the team and encourage anyone to apply if your experience is close to what we are looking for.
Earnest provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. Qualified applicants with criminal histories will be considered for the position in a manner consistent with the Fair Chance Ordinance.
#LI-SO1


Data Scientist Machine Learning And Algorithms Risk Management

Binance is the global blockchain company behind the world’s largest digital asset exchange by trading volume and users, serving a greater mission to accelerate cryptocurrency adoption and increase the freedom of money.
Are you looking to be a part of the most influential company in the blockchain industry and contribute to the crypto-currency revolution that is changing the world?
Data driven based business is the core in helping  to use cloud native platform to serve tens of millions of crypto-currency users. Engineers and Data Scientists across the company use the data platform to do interesting and impactful analysis for continuous innovations.
As a data scientist, you will have the opportunity to leverage rich data (PB-level scalability) and state-of-art machine learning infrastructure to develop data products which are used by our tens of millions of crypto-currency users.
You will collaborate with a strong team of engineers, data analysts, business operation and product/marketing managers to define and build solutions, features, algorithms and products based off our rich data and cutting-edge machine learning technology.


Data Scientist

Outside Interactive, Inc., the premier hub for active lifestyle enthusiasts, offers best-in-class content and experiences to more than 70 million of the world’s most passionate outdoor, wellness, and endurance enthusiasts every month.  We inspire a broad and diverse audience to do the activities they love with great enjoyment, inspiration, and knowledge and are dedicated to making real change in the outdoor and fitness industries.  Day after day, story after story, Outside Interactive, Inc., proves that a hike, a climb, a run, a ride, a day skiing, or a yoga practice can change lives - and change the world.
We are looking for a savvy data expert who will craft the data vision for Gaia GPS and help build the future of outdoor maps. The hire will be responsible for expanding and optimizing our data ecosystem to provide insights across the company, working with teams to build ideal architecture, and optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline builder, wrangler, and analyst who enjoys optimizing data systems and building them from the ground up. The Data Scientist will support every arm of Gaia GPS on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products, data initiatives, and measuring core KPIs. The position will balance the responsibilities of building all data reports/insight for Gaia GPS core metrics while working with larger Outside Inc to blend massive data pipelines.
This job is 100% remote, and the team has been remote for 7+ years.
Your Impact:
 Lead data voice across Gaia GPS, providing direction for all data-driven efforts.Create and maintain optimal data pipeline architecture using best practices.Assemble large, complex data sets that meet functional / non-functional business requirements.Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.Build the infrastructure required for optimal extraction, transformation, and loading of data from various data sources using SQL and AWS ‘big data’ technologies.Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and key business performance metrics.Work with stakeholders including the Executive, Product, Data, Marketing, and Design teams to create data plans for measuring product success, monitoring performance and powering product roadmaps.Extract actionable statements from data.
Your Qualifications:
Advanced working SQL knowledge and experience working with relational databases, query authoring(SQL) as well as working familiarity with a variety of databases.Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.Experience performing root cause analysis on internal and external data and processes to answerspecific business questions and identify opportunities for improvement.Strong analytic skills related to working with unstructured datasets.Build processes supporting data transformation, data structures, metadata, dependency and workloadmanagement.A successful history of manipulating, processing and extracting value from large disconnecteddatasets.Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.Strong project management and organizational skills.Experience supporting and working with cross-functional teams in a dynamic environment.We are looking for a candidate with 5+ years of experience in an Data Scientist capacity and the followingsoftware/tools:Experience with large-scale distributed analytics platforms and toolingExperience with relational SQLExperience with Amazon Web Services cloud servicesExperience with object-oriented/object function languages: Python, Java, C++, Scala, etc.Experience with Postgres and PostGIS for geospatial analysis a plusExperience building dashboards using tools like Tableau, Mode, or Google Data Studio a plus
Preferred Qualifications:
Minimum 5+ years professional experience.You can work independently to recognize areas where you can contribute your skills as well as responding to the data needs of various departments across the company.You love to deep dive into a problem, utilize tools from different data sources and synthesize your findings in a comprehensive way to provide insight and reveal patterns that will help steer maps and product development.You thrive on collaboration and have a proactive attitude.You have strong project management and organizational skills.You have a passion for maps and want to apply your Data Scientist expertise to help improve Gaia GPS and better enable people to experience the outdoors.
Why you'll love working at Gaia GPS:
We are passionate about outdoor and active lifestyle participants and live the lifestyle ourselves.We are a technological and data-driven business.We are committed to active lifestyle participants and will provide them with the world’s most personalized content that inspires and motivates. them by understanding them better than any platform in the world.We love solving problems, thinking creatively and trying new things.We believe in autonomy and taking initiative.We take what we do seriously. We don’t take ourselves seriously.We have a smart, experienced leadership team that wants to do it right and is open to new ideas.Gaia GPS has a software culture where marketing, support and management folks also code to improve apps and help with the product.You will be proud to say that you work for Outside, Inc./Gaia GPS and will know that the work you do brings joy to our clients everyday.
Entirely remote jobs that could be performed in Colorado: Employees can expect to be paid a salary of  between $90,000 to $115,000.   Additional compensation may include a bonus or commission . Additional benefits include health care, vision, dental, retirement, Flexible Time Away,  sick leave, and more.  This salary range is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors


Sr Data Scientist

Grow your career with a growing organizationWhether they’re helping people reach their long-term financial goals or providing personal wealth management strategies, every associate contributes to changing the lives of those we serve for the better. When it comes to job satisfaction, that’s hard to beat. And from a personal satisfaction perspective, you’ll enjoy the freedom to support causes that matter to you and experience a truly inclusive work environment. Your future starts now.RoleYou will provide insights to business stakeholders in Marketing, Sales, Product, and Service, enabling them to make informed decisions. You will perform exploratory and detailed analysis of large data sets and present the analysis to stakeholders. You will maintain and create complex classifiers, predictive models and utilize other machine learning techniques, in collaboration with Data Engineers, Java Engineers, Business Analysts and business stakeholders to provide analysis and make recommendations. Candidate We are searching for someone innovative. Someone who can think outside of the box, understand our financial services business, and advocate visionary and new ideas. Further, the ideal candidate will be self-motivated, work well autonomously as well as with others, possess solid critical thinking skills, hold the ability to synthesize complex problems and develop programs to apply data science concepts to improve business efficiencies.  Excellent written and speaking communication skills are required to work successfully in a collaborative cross-functional environment and interact with the full spectrum of business divisions.  Qualifications
5+ years of professional experience as a data scientist
A Bachelor/Master of Science degree in Computer Science, Operations Research, Statistics, or another quantitative discipline. A Master/PhD's degree is an added bonus.
Experience with statistics and/or applied math as the basis for selecting appropriate models and experiments.
Experience with data science projects from end to end, starting with problem formulation to model development in production.
Experience utilizing conventional machine learning and deep learning libraries, in particular scikit-learn and keras.
Experience developing data pipelines and feature engineering in Python, R or other equivalent programming languages.
Experience working with large sets of data stored in a variety of storage platforms such as traditional Data Warehouse, Data Lake, and NoSQL.
Experience mentoring Data Scientists
Demonstrated ability to collaborate with stakeholders, understand requirements and translate them into solvable problems via Data Science/Machine Learning
Experience with all phases of software development life cycle.
Familiarity with machine learning techniques and classification algorithms.
Familiarity with distributed computing and Big Data technologies, including map/reduce ecosystem (Hadoop, Spark, PySpark, HDFS, Hive)
Strong programming experience in at least one programming language, preferably Python.
Experience utilizing machine learning platforms such as Amazon SageMaker is a plus.
Please note that this role is being posted by Personal Capital, an Empower company. Personal Capital roles are cross-posted to the Empower web site and are also available at https://www.personalcapital.com/company/jobs.  For more information about Personal Capital, please visit www.personalcapital.comWhat we offer youWe offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance.
Medical, dental, vision and life insurance
Retirement savings – 401(k) plan with generous company matching contributions (up to 5%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
Tuition reimbursement up to $5,250/year

Business-casual environment that includes the option to wear jeans
Generous paid time off upon hire – including a paid time off program plus nine paid company holidays and three floating holidays each calendar year
Paid volunteer time — 16 hours per calendar year
Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
Business Resource Groups (BRGs) - internal networks that rally around common interest, experiences and identities such as race, ethnicity, gender, ability, military status and sexual orientation. BRGs play a vital role in educating and engaging our people and advancing our business priorities.
The salary range below describes the minimum to maximum base salary range for this position in the location listed. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.Base Salary Range$ 113,200.00-181,200.00LocationCA RemoteWe are an equal opportunity employer with a commitment to diversity.  All individuals, regardless of personal characteristics, are encouraged to apply.  All qualified applicants will receive consideration for employment without regard to age (40 and over), race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.


Sr Operations Research Data Scientist

REI’s Enterprise Data Science team is seeking a Senior Operations Researcher with deep experience using Data Science and Optimization approaches to solve complicated optimization problems across the organization such as Demand Forecasting, Transportation/Last-Mile, Network Design, Simulation and Revenue Management to name just a few.
This role will analyze REI’s multi-channel supply chain end-to-end, identifying the biggest opportunities developing plans for system-wide optimization of cost, throughput, and customer experience to the benefit of our members and society.  This is a unique opportunity to have a major impact on REI’s bottom line and continued success helping people get outside while improving our environmental and social mission!
Responsibilities:
Provide strategic thought leadership for the subject of supply chain optimization. Significant influence into strategy and cross-team impacts Engage broadly with the business and operational leaders to frame, structure, and prioritize optimization across our multi-channel retail supply chain Perform large-scale statistical research, analysis, Data Science, and modeling across various phases of the Supply Chain -- from Forecasting and allocation through last-mile delivery Design and deliver optimization algorithms and science-driven data products, working with colleagues to develop and deploy software as is feasible and solves critical business problems Work within a close-knit team of Supply Chain Data Scientists and analysts providing mentorship, subject area expertise, learning and inspiration to the group Build sophisticated simulations that will enable business leaders to make trade-off decisions given the constraints


Data Scientist Ml

Company Description:
Quartet is a platform that makes it easier for people to get the best mental health care for them. Our technology and services reach people who need care, connect them to the right care, track the quality of their care, and support their care journeys. Backed by $160.5MM in venture funding from top investors like Oak HC/FT, GV (formerly Google Ventures), F-Prime Capital Partners, Polaris Partners, Deerfield Management, Centene Corporation, and Echo Health Ventures, Quartet partners with health insurance plans and health systems in 32 states across the country to help people get the care they need.
About the team & opportunity:
As a Data Scientist at Quartet, you will work on a range of projects -- developing statistical analyses to study impact of Quartet interventions; predicting mental health needs among populations; building machine learning models to suggest timely and appropriate behavioral health care interventions for patients. You’ll develop a deep understanding of Quartet interventions and the predictive models and algorithms.
You will design and develop effective models, features, and algorithms involving multiple datasets, including user activity, Electronic Health Records (EHR), admissions, discharges and transfers (ADT), medical claims, pharmacy claims, and lab test claims. Leverages knowledge of computer science, machine learning, data mining and software architecture to build high-quality data products. Supports the design of Quartet products, including: an entity resolution and de-duplication library for linking patients and providers data, which is collected from multiple sources; a machine learning application for the detection of opioid use disorder in patients using supervised learning and deep learning; and an optical mark recognition (OMR) computer vision application for transcribing paper assessments.
Accountabilities:

Research and develop machine-learning and statistical models in Quartet Health’s platform to improve software personalization and recommendations for users
Drives a data-informed process for experimenting with new products to improve patient outcomes and operational efficiency.
Performing ML research, exploratory data analysis, and computer-vision modeling; developing model evaluation and online maintenance methodologies, including confidence estimation, calibration, and concept drift
Develop general-purpose frameworks to support machine learning applications in production.

 Minimum Qualifications:

1-2 years experience as a data scientist.
Formal training in statistics and computer science.
Knowledge of mathematical fundamentals: probability theory, linear algebra and statistics.
Strong data transformation and extraction skills with SQL databases.
Strong statistical programming skills in both Python and R.
Comfort/self-sufficiency with Amazon Web Services infrastructure.
Comfort/self-sufficiency with Linux command line.
Comfort/self-sufficiency with git for version control.
Ability to work on projects from initial to final phase- beginning by defining a problem, developing an implementation plan, and overseeing deployment and maintenance.
Ability to clearly communicate across disciplines and work collaboratively.
Experience with any of the following: Docker, TensorFlow, Keras, Numpy, Scipy, Pandas, Gensim, Scikit-learn, NLKT, Jupyter

Employee Benefits for Quartet include: Unlimited vacation, volunteer opportunities, team events, mental healthcare coverage of 15 free therapy sessions + unlimited copay reimbursements, medical, dental + vision coverage, generous parental and military leave, commuter benefits, 401K, and stock option grants.
Want to know what Quartet life is like? Click here to meet our team.
Quartet is committed to building a diverse team and fostering an inclusive culture, and is proud to be an equal opportunity employer. We embrace and encourage our employees' differences in race, religion, color, national origin, gender, family status, sexual orientation, gender identity, gender expression, age, veteran status, disability, pregnancy, medical conditions, and other characteristics. Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Quartet does not accept unsolicited headhunter and agency resumes. Quartet will not pay fees to any third-party agency or company that does not have a signed agreement with Quartet.
Please note: Quartet interview requests and job offers only originate from quartethealth.com email addresses (e.g. jsmith@quartethealth.com). Quartet will also never ask for bank information (e.g. account and routing number), social security numbers, passwords, or other sensitive information to be delivered via email. If you receive a scam email or wish to report a security issue involving Quartet, please notify us at: security@quartethealth.com.

Have someone to refer? Email talent@quartethealth.com to submit their details to us.


Data Scientist

At HubSpot, we use data to power our decisions, systems and product solutions. We’re seeking an experienced data scientist to deliver that insight. Our ideal team member will have the mathematical and statistical expertise you’d expect, but a natural curiosity and creative mind that’s not so easy to find. You will join a team of data specialists, but will “slice and dice” data using your own methods, creating new visions for the future.
Objectives of this Role
Collaborate with product design and engineering to develop an understanding of needs
Research and devise innovative statistical models for data analysis
Enable smarter business processes—and implement analytics for meaningful insights
Keep current with technical and industry developments
Role Objectives/Responsibilities
Work as the lead data strategist, building models to improve internal efficiency and customer experience
Work closely with the engineering team to strategize and execute the development of data products
Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries
Implement analytical models into production by collaborating with software developers and machine learning engineers.
Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
Analyze data for trends and patterns, and Interpret data with a clear objective in mind
Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems
Skills and Qualifications
Degree in statistics, applied mathematics, or related discipline
5+ years experience in data science
Proficiency with data mining, mathematics, and statistical analysis
Advanced pattern recognition and predictive modeling experience
Advanced use of SQL, R, Python
Experience with machine learning models
Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects
Preferred Qualifications
Master’s degree in stats, applied math, or related discipline
2+ years of project management experience
Professional certifications
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.
Important COVID-19 Guidance (For candidates applying to roles in the United States):
In September 2021, the US government issued new federal vaccine guidance that certain government contractors must adhere to. HubSpot is a covered federal contractor and so, based on this guidance, our US-based employees are required to be vaccinated, and show proof of vaccination, by January 18, 2022. What does this mean for you as a candidate? It means that if you were to join HubSpot, you would need to be fully vaccinated by January 18, 2022 or by your hire date (whichever is later) to be eligible to start in the role. As a condition of employment, you would need to submit official COVID-19 vaccine documentation. HubSpot will consider and review reasonable accommodation requests based on medical or religious grounds for qualified candidates.
About HubSpot
HubSpot (NYSE: HUBS) is a leading customer relationship management (CRM) platform that provides software and support to help businesses grow better. We build marketing, sales, service, and website management products that start free and scale to meet our customers’ needs at any stage of growth. We’re also building a company culture that empowers people to do their best work. If that sounds like something you’d like to be part of, we’d love to hear from you.
You can find out more about our company culture in the HubSpot Culture Code, which has more than 5M views, and learn about our commitment to creating a diverse and inclusive workplace, too. Thanks to the work of every employee globally, HubSpot was named the #4 Best Place to Work on Glassdoor in 2021, and has been recognized for award-winning culture by Great Place to Work, Comparably, Fortune, Entrepreneur, Inc., and more.
Headquartered in Cambridge, Massachusetts, HubSpot was founded in 2006. Today, thousands of employees work across the globe in HubSpot offices and remotely. Visit our careers website to learn more about culture and opportunities at HubSpot.
By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. HubSpot's Privacy Notice explains what personal information we may process, where we may process your personal information, our purposes for processing your personal information, and the rights you can exercise over HubSpot’s use of your personal information.


Data Scientist Promotion Strategy

About the Team
At Stitch Fix, our data science team combines artificial intelligence together with expert-human judgment to generate innovative recommendations and insights that help our clients look and feel their best. The client relationship team focuses on building algorithm-driven product features with the goal of deepening the relationship between clients and Stitch Fix. Examples of some of the projects we work on include enhancing the way clients communicate with stylist about their needs and inspirations, flexing our service to match clients’ changing circumstances, and enabling clients to discover similar and complementary items they’ll love.
About the Role
This role will work in close partnership with Engineering, Product, and UX to develop algo-driven product experiences
You're excited about this opportunity because you will…

Prototype, test, and deploy algorithms that continue to improve upon the user experience
Work in a collaborative, production-facing codebase that has close coupling with engineering systems
Conduct experiments to show causal impact of new ideas or implementations
Effectively communicate and share results with both technical and non-technical cross-functional partners

We’re excited about you because…

You have 3+ years of experience implementing/designing machine learning algorithms
You have experience with coding/algorithm implementation
You have a creative, problem-solving mindset
You are able to work with both technical and non-technical partners (presentations, expectation management, getting people on-board with ideas)
You are interested in both collaborative ownership of a code-base as well as self-ownership of a capability

Why you'll love working at Stitch Fix…

We are a group of bright, kind and challenge-motivated people. You can be your authentic self here, and are empowered to encourage others to do the same!
We are a successful, fast-growing company at the forefront of tech and fashion, redefining retail for the next generation.
We are a technology and data-driven business.
We are committed to our clients and connected through our vision of “Transforming the way people find what they love.”
We love solving problems, thinking creatively and trying new things.
We believe in autonomy & taking initiative.
We are challenged, developed and have meaningful impact.
We take what we do seriously. We don’t take ourselves seriously.
We have a smart, experienced leadership team that wants to do it right & is open to new ideas.
We offer competitive compensation packages and comprehensive health benefits.
You will be proud to say that you work for Stitch Fix and will know that the work you do brings joy to our clients every day.

About Stitch Fix
At Stitch Fix, we’re about personal styling for everybody and we believe in both a service and a workplace where you can be your best, most authentic self. We’re the first fashion retailer to combine technology and data science with the human instinct of a Stylist to deliver a deeply personalized shopping experience. This novel juxtaposition attracts a highly diverse group of talented people who are both thinkers and doers. All of this results in a simple, powerful offering to our customers and a successful, growing business serving millions of men, women, and kids. We believe we are only scratching the surface on our opportunity, and we’re looking for incredible people like you to help us carry on that trend.
Please review Stitch Fix's Recruiting Privacy Policy here:https://www.stitchfix.com/privacy/usrecruitingprivacy


Data Scientist Operations

About the Team
At Stitch Fix, our data science team combines machine learning with expert human judgement to generate innovative recommendations, insights, and solutions that transform the way clients discover what they love. We believe in a curiosity-driven data science culture where members have autonomy to deliver impact through end-to-end, full-stack product development and ownership.
About the Role
As a Data Scientist on our team you will use a combination of Operations Research and Data Science methods to optimize fulfillment at Stitch Fix. The systems you build will directly impact where, when, and how we fulfill orders for our clients and balance trade-offs between client experience and business objectives to drive long-term growth. You will collaborate with other data scientists and business partners to enable new products and fulfillment strategies while promoting predictability and efficiency of existing operational processes.
You're excited about this opportunity because you will…

Develop novel algorithms, systems, and frameworks to drive operational decisions that span multiple functions within the business
Use data-driven approaches to identify trade-offs between business objectives including efficiency, cost, and customer satisfaction
Communicate complicated concepts to a wider audience - both data scientists and broader business partners
Work with a variety of cross-functional operations and business teams to define key objectives and design processes that bring new value to our clients and support business growth

We're excited about you because you have…

Several years experience in a data science, ML or operations research role (demand planning, supply planning, capacity management, operations)
Practical experience with Python and building end-to-end solutions, and are comfortable developing code both for quick prototypes and for systems that must be maintained in production for many years
A deep understanding of business processes and have experience working with people with different backgrounds, priorities, and responsibilities
The ability to explain complex concepts well and move decisions forward in collaboration with business partners
An inquisitive nature, and the ability to scrutinize functional efforts through the lens of improving the client experience and the business
An advanced degree in a quantitative field such as Math, Operations Research, Physics, Statistics, Biostatistics, Economics, Finance, and/or Computer Science

Why You'll Love Working at Stitch Fix

We are a group of people who are bright, kind and motivated by challenges. You can be your authentic self here, and are empowered to encourage others to do the same!
We are a successful, fast-growing company at the forefront of tech and fashion, redefining retail for the next generation
We are a technologically and data-driven business
We are committed to our clients and connected through our vision of “Transforming the way people find what they love”
We love solving problems, thinking creatively and trying new things
We believe in autonomy & taking initiative
We are challenged, developed and have meaningful impact
We take what we do seriously. We don't take ourselves seriously
We have a smart, experienced leadership team that wants to do it right & is open to new ideas
We offer competitive compensation packages and comprehensive health benefits
You will be proud to say that you work for Stitch Fix and will know that the work you do brings joy to our clients every day

About Stitch Fix
Stitch Fix is redefining retail shopping using a unique blend of art and science to deliver a deeply personalized service to our customers.  This novel juxtaposition—at once analytic and artistic, technical and adventurous—attracts an extraordinary collection of talented people who are both thinkers and doers. Our diverse workforce has catalyzed enormous company growth over the past three years in terms of customer satisfaction and service efficacy. We’d love for you to help us carry on the trend.
Please review Stitch Fix's Recruiting Privacy Policy here:
https://www.stitchfix.com/privacy/usrecruitingprivacy


Senior Data Scientist

Who we are and what we do
Momentive (NASDAQ: MNTV) (formerly SurveyMonkey) is a leader in agile experience management, delivering powerful, purpose-built solutions that bring together the best parts of humanity and technology to redefine AI. Momentive products, including GetFeedback, SurveyMonkey, and its brand and market insights solutions, empower decision-makers at 345,000 organizations worldwide to shape exceptional experiences. More than 20 million active users rely on Momentive to fuel market insights, brand insights, employee experience, customer experience, and product experience. Ultimately, the company's vision is to raise the bar for human experiences by amplifying individual voices. Learn more at Momentive.ai.
More about our Business Data Science Team
Our Business Data Science team builds Insights and data solutions for different partners(sales/finance/marketing/customer success) to make informed business important decisions. We are looking for a Sr Data Scientist who will design data science projects including experimentation, Survival Analysis, Topic modeling, and classifications. You will report to our Sr Manager, Business Data Science team.
What we're looking for
You will apply advanced analysis techniques and statistical concepts to draw insights from massive datasets, and build scalable machine learning models. You contribute to each layers of a data solution – you partner with teams, work with business intelligence engineers and Data Engineers to obtain relevant datasets and prototype predictive analytic models.
You will

Work with product managers, data engineers, other data scientists, and business leadership to Identify customer and business problems.
Translate business problems into mathematical problem statements and form hypotheses that can be answered with data using scientific methods
Design statistics and ML models to guide business transformation and growth.
Guide and establish scalable, efficient, automated processes for large-scale data analyses, model development, validation and implementation
Identify business opportunities and insights and provide solutions to shape important business processes based on data, industry best-practices, and collaboration with other teams.
Work with the Data Engineering team and create production implementations for large-scale data analysis and ML models.

You have

Master's degree in a quantitative field: Machine Learning, AI, Computer Science, Statistics, Mathematics, Operational Research,
7+ years of hands-on industry experience in predictive modeling and analysis, multivariate statistics, data modeling, deep learning, as an ML engineer or data scientist.
Scope out business problems, start from ambiguous problem statements, identify and access relevant data, make appropriate assumptions, perform analysis and draw conclusions relevant to the business problem.

Coding skills - with Python or R, Experience with data analysis libraries such as Scikit-learn and Pandas for analyzing and modeling data.
Experienced in using multiple data science methodologies to solve complex business problems (e.g. statistical research science, regression modeling, forecasting).
Experience managing large, varied Data Sets

What we offer our employees
Momentive is a place where the curious come to grow and shape what's next. By embedding inclusion into our processes, policies, and culture for our 1,400+ employees across North America, Europe, and APAC, we're building a workplace where people of every background can excel. We've won multiple awards and received recognition for our forward-looking policies, including extended parental and bereavement leave, vendor benefits standards, and Take 4 sabbaticals.
Momentive is featured as a Glassdoor 2021 Best Place to Work and National Capital Region's Top Employer in Canada (2021). In 2020, Momentive was recognized as a top place to work by Glassdoor Best Places to Work, Fortune Best Places to Work in the Bay Area, Parity.org's Best Companies for Women to Advance, and National Capital Region's Top Employers in Canada. Momentive has consistently been recognized by Great Place to Work® and Fortune as a top workplace since 2018, and we have also won numerous awards as a leader in global survey software, including being named among the G2 Best Software Companies, CNBC's Disruptor 50, and the Forbes Cloud 100.
Our commitment to an inclusive workplace
Momentive is an equal opportunity employer and is committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities.
Learn more about our diversity, equity, and inclusion efforts here.

#LI-remote


Data Scientist Ii

Vimeo is looking for a Data Scientist to join the Video Insights team.
Vimeo’s platform provides the highest quality video tools for filmmakers, businesses, and video lovers around the globe. Video Insights team delivers services and products that help Vimeo users make effective videos, by applying Artificial intelligence (AI) technologies connecting between video content and it’s online performance .
It is a great opportunity to join a core founding team and take part in shaping the AI movement within Vimeo.
What you’ll do:

Work closely with Researchers, Data Analysts and Product to build tools that provide insights on how content of videos is correlated against relevant video performance metrics.
Analyze diverse datasets and implement statistical and machine learning models to extract actionable insights on user and content behavior as well drivers of key business and product metrics
Be part of a cross-functional team, providing the best practices in data science for the team and across the organization.
Partner with relevant teams to deploy outcomes, as well as monitor KPIs and model performance in production.

Skills and knowledge you should possess:

3+ years of experience as a Data Scientist, with a M.Sc/B.Sc in a relevant quantitative discipline.
Experience with Hypothesis testing, A/B testing, Bayesian inference, time series modeling, linear and non-linear regression, clustering and classification, as well as statistical and machine learning methods.
Ability to understand and work with weakly defined problems, refine definitions and come up with actionable solutions.
Fluent in Python especially with the standard third-party libraries (numpy, scipy, sklearn, statsmodels, pandas, matplotlib, etc.), SQL, large scale systems.
Experience in working with large data sets.
Good communication skills and ability to work in a cross-functional team.

Bonus Points:

Experience with Deep Learning Frameworks such as TensorFlow, Pytorch.


Data Scientist

DescriptionWhat’s Clyde - Clyde is an end-to-end product protection platform that is rethinking the way retailers increase loyalty and drive revenue, and the way customers manage their purchases. We are tackling the $50B per year extended warranty market and becoming the de facto solution in the space by leveraging an intense focus on product, design, and customer experience. Clyde delivers product protection plans directly to consumers as they shop, owning the relationship from purchase to claim submission to resolution. We know that the relationship between retailers and their customers is far from over after checkout so we’re building products to deliver value at every stage of this relationship. We’re looking for a thoughtful, results-oriented Data Scientist to drive the development of Clyde’s data and analytics capabilities as we take the business to its next stage of growth. While Clyde is based in NYC, this position can be remote. As a data scientist at Clyde, you will play a pivotal role in the company as you design, deploy, and refine predictive models in collaboration with a talented engineering, product, and go-to-market teams. This position reports directly to the Director of Data Science and Analytics.  An opportunity to... Develop algorithms to predict key metrics, inform pricing decisions, automate operational processes, and identify new business opportunities Scope and deliver product requirements in partnership with cross-functional stakeholders using a combination of experimentation, intuition, and consensus-building Derive business insights and make product recommendations via merchant and end consumer segmentation analysis, merchant cohort analysis, and other deep-dive analysis Identify additional data sources that need to be collected to solve relevant business problems and collaborate with the engineering team on ETL work Communicate problems and solutions at both a high-level to non-technical stakeholders and a detailed level to technical stakeholders to ensure that we are tracking and looking at data in a consistent manner and speaking a common vernacular Create robust, clean workflows and documentation that helps teammates understand and replicate work  Requirements 4+ years of experience in Data Science role with a strong track record Advanced degree in a quantitative field (Computer Science, Mathematics, Statistics, Physics or Engineering) Strong technical skills, including proficiency in SQL and Python Combination of analytical rigor, resourcefulness, and intellectual curiosity Excellent communication skills Focused desire to use data to improve the product and user experience Proven ability to succeed in both collaborative and independent work environments  Nice to Have: Experience with business intelligence tools, such as Looker or Mode.  Experience with Natural Language Processing (NLP) algorithms and models BenefitsWho are we?Clyde is a product and design led organization founded in 2017 in NYC by a customer-obsessed team of designers, engineers, operators, and successful former founders. We have partnered with some of the top investors in the world to help us achieve our vision.Why should you join us?Clyde is building an incredibly thoughtful suite of products with enormous potential. We are a highly resourceful, motivated, and collaborative team, and we value diversity of all kinds. We hold ourselves to the highest standards. Clyde does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. All members of our team will have ample opportunities for professional growth, plus, we offer competitive salaries and equity packages, health insurance, unlimited time off with a mandatory 10 days, and a creative culture. We are building a really exciting company and can’t wait for you to join us.


Data Scientist Ii

Data Scientist II | Acorns
Acorns is how everyday consumers can save & invest for the long term. By putting tools of responsible wealthmaking in everyone’s hands, Acorns has become the largest subscription service in U.S. consumer finance, serving millions of everyday Americans subscribers. Customers get automated investing in diversified portfolios, built with help from experts like Nobel Laureate economist, Dr. Harry Markowitz. Acorns easy retirement account allows customers to invest for a better life later in minutes, no expertise required. To help everyone spend smarter, Acorns introduced banking that invests with every swipe, and cash-forward rewards. And, everyday Americans may invest in their kids and get money news they can use, all from the same app. Customers have invested billions with Acorns, much of it in spare change. From acorns, mighty oaks do grow!
The Acorns Data Science team is growing. Acorns is actively seeking a motivated, detail-oriented, and solution-focused Data Scientist II who will report to the Head of Data Science.  The data science team is focused on solving problems that directly affect customers and the Acorns business, including allocation, personalization, growth propensity, retention, and fraud and risk detection.  We know that solving problems with data is an art and a science. Data Scientists at Acorns are as good at communicating and collaborating as they are at building machine learning solutions and writing code.  At Acorns, Data Scientists have broad latitude around data and you will collaborate with groups including: Analytics, Engineering, Product Management, Marketing, Operations, Risk, and Business Development.
This role has the option to be remote or based in our Irvine or New York offices.
You are not expected to have experience with all listed requirements. If you feel passionately about Acorns' mission, vision and values, please apply.
Within 1 month, you will:

Learn Acorns products, data warehouse, and how data fits into the products.
Become familiar with the DS processes and tools.
Meet people across the company with whom you would likely work.

 Within 3 months, you will:

Become integrated into the process of building models and DS solutions.
Work on a model development or Data Science Solution with a colleague.
Make production quality code commits into the team’s repository.

Within 6 months and beyond, you will:

Carry out well-defined data science projects of minimal scope, including building and evaluating predictive models.
Be capable of completing all parts of a model development including data validation, feature generation, sampling, feature selection, generating performance definitions, and analyzing performance.
Contribute to development of design documents.
Complete standard data investigations and determine suitability of data for DS efforts.
Be responsible for the quality of their own code, ensuring that it has sufficient test cases and comments.
Contribute to the creation and documentation of the model package.
Mentor junior members of the team through DS approaches used at Acorns.
Actively participate in discussions on new technical approaches by asking relevant questions.

What you will bring to Acorns:

Empathy for our customers’ financial situations and the desire to help our customers in need of personalized products and services.
The ability to uphold the values of transparency, honesty, and support for the team.
An ability to explain complex problems in a simple way.
Capability to build algorithms that touch statistics and machine learning.
Knowledge of scalable and efficient methods for large scale data analysis and model development.
Pride in your work.
MS / PhD in a relevant field.

Relevant fields include: Computer Science, Data Science, Engineering, Mathematics, Operations Research, Physics, Statistics

Two (2) years of experience.
Experience in at least two of the following: Python, Scala, Java, Spark, C and R.  Experience with Databricks or notebooks a plus.
Experience analyzing large datasets and generating features.
Experience with building data science solutions using at least 2 statistical and machine learning techniques, and technical depth in at least 1 technique.
Some financial industry experience is a plus.

What we offer:

Competitive salary and stock options
A comprehensive benefits package to meet the needs of you and your family
Flexible paid time off
Numerous career possibilities that allow you to grow with Acorns
Talented and motivated team members who care deeply about one another, our mission and our customers.
The rare opportunity to create a new world. We inspire one another every day to do meaningful work that solves big societal challenges.

About Acorns:
Acorns is the leading micro-investing app in the U.S. It allows users to round up their daily purchases and automatically Invest the Change® into a low-cost, diversified portfolio of exchange-traded funds offered by some of the world's top asset managers (including Vanguard and BlackRock). Founded in Newport Beach, Calif., by father and son team Walter and Jeff Cruttenden, Acorns provides a simple entry-point using the Acorns app on iPhone or Android. Customers accumulate fractional shares in one of five portfolios constructed by world-renowned Nobel Laureate economist Dr. Harry Markowitz. Acorns' smart portfolio algorithms automatically work in the background of life, helping users build wealth naturally, pennies at a time. From Acorns mighty oaks do grow.
Mission:
With benevolence and courage, we look after the financial best interests of the up-and-coming; beginning with the empowering step of micro-investing.
Commitment to Diversity, Equity & Inclusion:
Acorns believes diversity, equity and inclusion are fundamental obligations that strengthen our team. We need a diverse, multi-disciplinary team to build a meaningful company and culture.
Values:

Lead with heart
Make bold decisions
Always build trust
Never stop growing
Find a way


Director Data Science Analytics

Data is a core competency of Hotel Engine, and the team has for mission to ensure we leverage our data assets as well as advanced analytics and machine learning to deliver product and business value across the organization and achieve our overarching company goals, be they revenue, member experience or scalability goals. The team’s core pillars include building and maintaining our data infrastructure, working with cross-functional stakeholders to deliver high-value business intelligence and analytics, and building data science & ML-driven models and services to power and improve our product, increase customer engagement and satisfaction, and deliver efficiency gains throughout the organization.
We are looking for a Director to take a leadership role on our Data Engineering and Data Science team and support our fast growth. This is a key technical leadership role with executive-level visibility, a finger on the pulse of the overall business, and broad impact for someone who exhibits intellectual curiosity and rigor, and a capacity of execution to tackle some of the most critical technical challenges that span the breadth of our business.
Reporting to our VP of Data Engineering and Data Science, you will grow and lead a team of data scientists, data engineers and data analysts, and will act as both a people and technical thought leader. If you are passionate about travel, about working on both strategic projects and hands-on implementation, and relate to our vision and DNA, please apply.
Although most of the team is based in Denver, the role can be remote for the right candidate.
Here's what you'll do:

Develop and lead a data team strongly integrated with product and engineering and with company-wide stakeholders including sales, marketing, supplier relations, traveler experience, and finance
Partner with cross-functional leaders to drive analytics and insights-driven decision making throughout the business
Work with the VP of Data to develop, obtain support and execute on a short, medium, and long-term data roadmap and strategy. Lead quarterly and monthly planning process, as well as weekly sprints
Recruit great data scientists, data engineers and data analysts, in collaboration with Hotel Engine’s recruiting team. Mentor the professional development of direct reports, managers, and individual contributors, through coaching and performance management. Build diverse and distributed teams and collaborative environments
Establish rules of engagement and processes to manage data and analytics requests, prioritize them effectively, and deliver within committed timeframes while at the same time not losing track of the data team’s core monthly and quarterly goals
Ensure that the team builds and maintains world-class data pipelines, data warehouse, and business intelligence and analytics solutions
Design, built, synthesize and present robust analyses aimed at driving the strategic direction of Hotel Engine
Lead the development of predictive algorithms based on principles from statistics, machine learning and operations research to power and improve product features, increase customer engagement and satisfaction, deliver efficiency gains throughout the business, and support better decision making
Work with product and engineering to deploy ML-based solutions into production
Work closely with cross-functional stakeholders to define, track and report core business and product metrics and KPIs to inform both strategic decisions and day-to-day business operations
Identify new opportunities to leverage data to improve HE’s products and processes
Work with product and engineering to define and capture key metrics for our new products and identify causal impact through experimentation and causal inference methods

Here's what we're looking for:

8+ years of relevant experience in data analytics, data science and/or machine learning. At least 5 years as an individual contributor and at least 3 years leading a data team
A PhD or MS in a quantitative field (e.g., Statistics, Economics, Mathematics, Sciences or Engineering)
Expert knowledge of a scientific computing language (such as Python or R) and SQL
Expertise in statistics and machine learning, and a history of empowering whole organizations to use data by making data robust, well-structured, and as self-serve as possible
Leadership experience in an analytical role at a growth-stage company
Strong track record of recruiting and leading high-performing data teams
Excellent communication skills both in written (memos, emails, decks) and verbal form
Proven ability to lead projects to completion and collaborate seamlessly with others
You are a self-starter, able to operate effectively and with autonomy in a fast-paced environment with a high level of ambiguity, and you have experience building productive and positive relationships across an organization at all levels (entry level to senior executives)
Track record of rigorous execution and high impact
Highly detailed-oriented and exceptional organizational and follow-through skills is a must

Cash compensation:

The base compensation (excluding bonus) range for this role is between $160,000 and $200,000/year. Final offer amounts are determined by multiple factors, including prior experience, expertise & may vary from the amount above.

Remote Opportunities:

This role is eligible for remote work. Hotel Engine is authorized to do business in AZ, CA, CO, CT, FL, NC, NJ, NY, PA, TN, TX & WA. If you are not located in or able to work from a state where Hotel Engine is registered, you will not be eligible for employment. Please speak with your recruiter to learn more.


Principal Data Scientist

We are looking for a Principal Data Scientist to join our fast-growing Data Science and Engineering team and lead the work on key data and machine learning models and services. Establishing and maintaining high-quality data assets, data infrastructure, and data science capabilities is critical for the company's continued success. We have and will continue to invest heavily to leverage data science and machine learning to drive strategic and business decisions, power key product features, and solve problems that directly improve our customers’ experience and the strength of our business, including pricing, personalization and retention.
This is a key leadership role within the data team, with broad strategic and technical responsibilities, an opportunity to directly influence the direction of the product and the business, and significant growth potential. The individual must be highly motivated, a self-starter with a strong track record as an individual contributor in data science and/or machine learning, and both an obsession for rigorous work and bias for action.
You are not expected to be an expert in all the areas listed below. We are building a team focusing on people’s strengths, not lack of weaknesses. If you are passionate about data and machine learning systems, about travel, and relate to our vision and DNA, please apply.
Here's what you'll do:

Partner with stakeholders across Product, Engineering, Growth, Marketing, Finance, etc…\ to derive requirements, scope data services/systems and drive results
Lead end-to-end process including conception, development, production, deployment, and monitoring of data and machine learning models and services
Lead the team’s work on pricing, recommendation, lead scoring, retention
Lead product and growth experiments
Provide technical leadership to scientists/analysts working on data analytics projects and deliverables aiming at increasing growth/retention/profitability
Work closely with data and platform engineers to scale our data infrastructure in line with the needs of the business and of the data team (data acquisition, ETL pipelines, reporting infrastructure, feature stores, etc.)
Work closely with the VP, Data Science and the rest of the leadership team to define and deliver on the data science and engineering strategic roadmap and OKRs
Work with the VP, Data Science to build and coach a world-class team of data scientists, data engineers and machine learning engineers

Here's what we're looking for:

8+ years of industry experience as a data scientist / ML engineer in high-growth environments
Master's degree or PhD in Computer Science, Engineering, Economics, Statistics, or another quantitative discipline
Prior experience applying machine learning to real-world data problems (pricing, recommendation, personalization, etc.) and deploying and scaling models into a production environment
Track record of rigorous execution and high impact
Strong fundamentals in algorithms, statistics and predictive modeling
Excellent Python skills and experience with ML libraries or platforms
Demonstrable experience in system/software architecture and development
Ability to solve complex analytical problems using quantitative approaches with a unique blend of analytical, mathematical and technical skills
Excellent communication skills – can articulate goals/architecture/methodologies clearly and communicate insights in an easily accessible way to a diverse set of stakeholders
Highly detailed-oriented and exceptional organizational and follow-through skills is a must
Experience with AWS technologies is a plus

Cash compensation:

The base salary for this role starts at $150,000/year. Final offer amounts are determined by multiple factors, including prior experience, expertise & may vary from the amount above.

Remote Opportunities:

This role is eligible for remote work. Hotel Engine is authorized to do business in AZ, CA, CO, CT, FL, NC, NJ, NY, PA, TN, TX & WA. If you are not located in or able to work from a state where Hotel Engine is registered, you will not be eligible for employment. Please speak with your recruiter to learn more.


Senior Data Scientist

We are looking for a Senior Data Scientist to join our fast-growing Data Science and Engineering team and lead the work on key data and machine learning models and services. Establishing and maintaining high-quality data assets, data infrastructure, and data science capabilities is critical for the company's continued success. We have and will continue to invest heavily to leverage data science and machine learning to drive strategic and business decisions, power key product features, and solve problems that directly improve our customers’ experience and the strength of our business, including pricing, personalization and retention.
This is a key leadership role within the data team, with broad strategic and technical responsibilities, an opportunity to directly influence the direction of the product and the business, and significant growth potential. The individual must be highly motivated, a self-starter with a strong track record as an individual contributor in data science and/or machine learning, and both an obsession for rigorous work and bias for action.
You are not expected to be an expert in all the areas listed below. We are building a team focusing on people’s strengths, not lack of weaknesses. If you are passionate about data and machine learning systems, about travel, and relate to our vision and DNA, please apply.
Here's what you'll do:

Partner with stakeholders across Product, Engineering, Growth, Marketing, Finance, etc…\ to derive requirements, scope data services/systems and drive results
Lead end-to-end process including conception, development, production, deployment, and monitoring of data and machine learning models and services
Lead the team’s work on pricing, recommendation, lead scoring, retention
Lead product and growth experiments
Provide technical leadership to scientists/analysts working on data analytics projects and deliverables aiming at increasing growth/retention/profitability
Work closely with data and platform engineers to scale our data infrastructure in line with the needs of the business and of the data team (data acquisition, ETL pipelines, reporting infrastructure, feature stores, etc.)
Work closely with the VP, Data Science and the rest of the leadership team to define and deliver on the data science and engineering strategic roadmap and OKRs
Work with the VP, Data Science to build and coach a world-class team of data scientists, data engineers and machine learning engineers

Here's what we're looking for:

3-4+ years of industry experience as a data scientist / ML engineer in high-growth environments
Master's degree or PhD in Computer Science, Engineering, Economics, Statistics, or another quantitative discipline
Prior experience applying machine learning to real-world data problems (pricing, recommendation, personalization, etc.) and deploying and scaling models into a production environment
Track record of rigorous execution and high impact
Strong fundamentals in algorithms, statistics and predictive modeling
Excellent Python skills and experience with ML libraries or platforms
Demonstrable experience in system/software architecture and development
Ability to solve complex analytical problems using quantitative approaches with a unique blend of analytical, mathematical and technical skills
Excellent communication skills – can articulate goals/architecture/methodologies clearly and communicate insights in an easily accessible way to a diverse set of stakeholders
Highly detailed-oriented and exceptional organizational and follow-through skills is a must
Experience with AWS technologies is a plus

Cash compensation:

The base salary for this role starts at $130,000/year. Final offer amounts are determined by multiple factors, including prior experience, expertise & may vary from the amount above.

Remote Opportunities:

This role is eligible for remote work. Hotel Engine is authorized to do business in AZ, CA, CO, CT, FL, NC, NJ, NY, PA, TN, TX & WA. If you are not located in or able to work from a state where Hotel Engine is registered, you will not be eligible for employment. Please speak with your recruiter to learn more.


Data Scientist

We are looking for a Data Scientist to join our fast-growing Data Science and Engineering team and work on key data and machine learning models and services. Establishing and maintaining high-quality data assets, data infrastructure, and data science capabilities is critical for the company's continued success. We have and will continue to invest heavily to leverage data science and machine learning to drive strategic and business decisions, power key product features, and solve problems that directly improve our customers’ experience and the strength of our business, including pricing, personalization and retention.
This is a key role within the data team, with broad strategic and technical responsibilities, an opportunity to directly influence the direction of the product and the business, and significant growth potential. The individual must be highly motivated, a self-starter with a track record as an individual contributor in data science and/or machine learning, and both an obsession for rigorous work and bias for action.
You are not expected to be an expert in all the areas listed below. We are building a team focusing on people’s strengths, not lack of weaknesses. If you are passionate about data and machine learning systems, about travel, and relate to our vision and DNA, please apply.
Here's what you'll do:

Partner with stakeholders across Product, Engineering, Growth, Marketing, Finance, etc…\ to derive requirements, scope data services/systems and drive results
Participate in the end-to-end process including conception, development, production, deployment, and monitoring of data and machine learning models and services
Contribute to the team’s work on pricing, recommendation, lead scoring, retention
Lead product and growth experiments
Provide technical leadership to scientists/analysts working on data analytics projects and deliverables aiming at increasing growth/retention/profitability
Work closely with data and platform engineers to scale our data infrastructure in line with the needs of the business and of the data team (data acquisition, ETL pipelines, reporting infrastructure, feature stores, etc.)
Work closely with the VP, Data Science and the rest of the leadership team to define and deliver on the data science and engineering strategic roadmap and OKRs

Here's what we're looking for:

2+ years of industry experience as a data scientist / ML engineer in high-growth environments
Master's degree or PhD in Computer Science, Engineering, Economics, Statistics, or another quantitative discipline
Prior experience applying machine learning to real-world data problems (pricing, recommendation, personalization, etc.) and deploying and scaling models into a production environment
Track record of rigorous execution and high impact
Strong fundamentals in algorithms, statistics and predictive modeling
Excellent Python skills and experience with ML libraries or platforms
Demonstrable experience in system/software architecture and development
Ability to solve complex analytical problems using quantitative approaches with a unique blend of analytical, mathematical and technical skills
Excellent communication skills – can articulate goals/architecture/methodologies clearly and communicate insights in an easily accessible way to a diverse set of stakeholders
Highly detailed-oriented and exceptional organizational and follow-through skills is a must
Experience with AWS technologies is a plus

Cash compensation:

The base salary for this role starts at $80,000/year. Final offer amounts are determined by multiple factors, including prior experience, expertise & may vary from the amount above.

Remote Opportunities:

This role is eligible for remote work. Hotel Engine is authorized to do business in AZ, CA, CO, CT, FL, NC, NJ, NY, PA, TN, TX & WA. If you are not located in or able to work from a state where Hotel Engine is registered, you will not be eligible for employment. Please speak with your recruiter to learn more.


Implementation Data Scientist

The Solutions team is looking for talented Implementation Data Scientists to help execute on this vision. You’ll work closely with our Data Scientists, Product Managers, Software Engineers, and leadership team in order to:

Manage successful customer software deployments and technical work streams from end-to-end, with the ability to effectively manage priorities, deliver on-time, and communicate effectively internally and with customers
Become a power-user of the Atlas platform and API products, support customers in rapidly achieving value from the solution, and identify new use cases to address customer pain points
Oversee the specification and development of new or expanded solutions
Deeply understand the trade compliance/supply chain risk domain, Altana’s technology, and our customer base--and demonstrate effective communication and writing skills with respect to each
Work closely with Solutions Managers to integrate feedback from internal and external customers.
Leads firm-building activities (e.g, recruiting, knowledge building / domain expertise development, etc.)

This position can be worked remotely, but you should be comfortable working on New York time.
About You

3+ years of success in consultative/complex technical sales, deployment or otherwise client facing projects (where necessary, managing various stakeholder relationships to get consensus on solution/projects)
1-2 years technical experience in analytics, data science, software engineering or a similar technology related field
Exposure to trade compliance, supply chain management or a field similarly related to international commerce
Experience with machine learning
Record of ownership and delivery of projects with major organizational impact

Strong written and verbal communication skills

Nice to have, but not required

Expertise or experience with Python, SQL, Databricks, ArangoDB, AWS or Azure
Experience with Machine Learning toolsets (Scikit-learn, Numpy, Pandas, Dedupe)
Working knowledge of cloud services like AWS, Azure, or GCP

Technologies we love

Languages: Python, Spark
Tools: Docker, Git, Kubernetes, Swagger/OpenAPI, AWS, Azure
Datastores: Databricks, Elasticsearch, Postgres, Redshift, ArangoDB


Manager Data Science Credit

Wealthsimple is on a mission to help everyone achieve financial freedom, no matter who they are or how much they have. Using smart technology, Wealthsimple takes financial services that are often confusing, opaque and expensive and makes them simple, transparent, and low-cost. We're the company behind some of Canada's leading digital financial products, and are growing faster than ever.

Our team is reimagining what it means to manage your money. Smart, high-performing team members will challenge you to learn and grow every day. We value great work and great ideas — not ego. We're looking for talented people who love a fast-paced environment, and want to ship often and make an impact with groundbreaking ideas.

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

At Wealthsimple, we are building products for a diverse world and we need a diverse team to do that successfully. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Wealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know.

About the team

Strong credit risk management will be a critical component of enabling innovative and responsible credit offerings across Wealthsimple’s products.  As a newly formed team, the Credit Data Science team will own the full lifecycle of our approach to credit from machine learning risk models, credit policy and extensible frameworks for lending decisions all while building a feedback loop to continuously improve our understanding of risk. We achieve these goals by:

• Building a high quality and scalable state-of-the-art data warehouse that powers all decision making

• Leveraging machine learning and algorithms to help Wealthsimple build smarter financial products

• Using decision science to understand the cause and effect of our business decisions

In this role, you will have the opportunity to:

Lead a team data scientists as we build a best-in-class credit risk modelling team
Help architect the next stage of Wealthsimple’s systems, supporting millions of clients.
Deploy new machine learning models, business rules and analytical solutions to optimize credit policies
Collaborate with other business units to ensure products are built cohesively with credit risk management at the forefront across the platform
Get the best out of the team by leveraging their diverse educational backgrounds.
Set organizational standards and influence our data science and engineering culture.
Work where you are (while our Canadian offices are located in Toronto, we are a remote-first workforce and you can join from anywhere in Canada!)

Skills we're looking for:

Experience leading Data Science teams and a proven dedication to helping your team and others grow.
Excellent Python & SQL skills, first hand experience working with popular Python libraries such as Pandas, scikit-learn, numpy and Jupyter
Strong understanding of statistics: both frequentist and Bayesian approaches.
Strong understanding of fundamental machine-learning algorithms: regression and decision trees.

We're looking for someone who:

Is able to articulate their stance in a manner that effectively communicates why a solution could be the best way forward
Adjusts quickly to changing priorities and effectively manages complexity and change
Can coach people in their current roles to improve performance and prepare them for future roles
Has exceptional communication skills and is able to communicate effectively to both technical and non-technical teams
Plans, organizes, schedules, and budgets in an efficient, productive manner
Is eager to teach and learn from your team. We value making each other successful!
Is a lifelong learner. You’re constantly seeking and welcoming feedback to continue improving yourself and your craft


Senior Data Scientist

About Tala

Tala is a global technology company building the world’s most accessible financial services. With more than $350 million raised from visionary investors, we are serving millions of customers around the world who have been overlooked by traditional financial institutions – and our plan is to serve millions more, and have been named by the Fortune Impact 20 list, CNBC’s Disruptor 50, and Forbes’ Fintech 50 list for four years running. We are expanding across product offerings, countries and crypto and are looking for people who have an entrepreneurial spirit and are passionate about the mission.

By creating a unique platform that enables lending and other financial services around the globe, people in emerging markets are able to start and expand small businesses, manage day-to-day needs, and pursue their financial goals with confidence. Currently, more than 6 million people across Kenya, the Philippines, Mexico, and India have used Tala products. Due to our global team, we have a remote-first approach, and also have offices in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India.

Most Talazens join us because they connect with our mission of enabling financial agency for underbanked people around the world. If you are energized by the impact you can make at Tala, we’d love to hear from you!

-Autonomously leads data science initiatives that drive improvements in credit product, finance and customer experience.
-Owns modeling cycles through scoping, development, deployment and after-sale and monitoring, with keen focus on business outcomes and stakeholder management.
-Customer centric, ties their work to realizing Tala’s mission of “enabling and accelerating financial health for the underserved globally.”
-Embed with business stakeholders to identify, test and implement data science solutions that drive business and customer success.
-Develop roadmap in collaboration with stakeholders to organize and prioritize initiatives.
-Own full-cycle of machine learning products from ideation and training through deployment into our production environment and after sales service.
-Obsess over machine learning products, iterating rapidly if necessary.
-Become a multiplier for data science team by sharing work, providing mentorship to junior team members, providing technical feedback and developing work into shared team tooling.
-Be a thought partner for the business, leverage data insights and strong communication skills to influence company strategy.

-4+ years of experience in a data science role or equivalent position.
-2+ years in a senior / lead position leading the execution of end to end machine learning solutions for business stakeholders.
-Fluent in Python and packages related to machine learning.
-Experience with the full modeling cycle, from scoping and development through deployment, after-sale and monitoring.
-Has demonstrated business value in previous roles.
-High level of statistical competency, knowledge of experimental design and analysis.
-Strong collaborator and communicator, tells stories through data and effective visualization.
-Statistics and Hypothesis testing - Data Visualization
-Communication/collaboration skills are required.

Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.


Senior Data Scientist

About Crunchbase
Crunchbase helps over 70 million people around the world connect with the companies and people that matter. We are democratizing access to opportunities so that entrepreneurs, investors, job seekers, salespeople, and others can accelerate innovation for a better future. We are proud to build products that are shaping how companies and people connect, using our intelligence and data to help them communicate in a more meaningful way with one another.

We are committed to a positive, diverse, and inclusive culture by hiring for potential, focused on the inclusion of people who have different ways of thinking, different viewpoints, different backgrounds, and different skill sets. We value a transparent and open culture that positively impacts our teams and our products.

Crunchbase has a remote-first approach, and is open to hiring in these locations:
Atlanta, Austin, Boston, Chicago, Denver, Las Vegas, Los Angeles, Miami, Minneapolis, New York, Portland, Raleigh, San Francisco, and Seattle

Engineering at Crunchbase
The Crunchbase engineering team is a dynamic, fast-paced team that is dedicated to quickly delivering features, evaluating their performance, and iterating towards the product vision shared by the company.

We are organized in vertical teams that include cross-functional engineers as well as functional guilds aimed at working tightly with the product team to deliver high standards code while iterating quickly on features.

We value open and honest communication and strive to build an environment where opinions and views can be shared and considered in an effort to reach the best decision.

Personalization Team at Crunchbase
The Crunchbase personalization team thrives to provide users personalized relevant information throughout their experience on Crunchbase platform. By combining Crunchbase, private and behavioral data with machine learning systems, we learn to understand our users’ journey, identify and highlight relevant insights and build personalized experiences that are unique to our users.

The team is composed of Data Scientists, Machine Learning Engineers, Platform Engineers and Frontend engineers working together to deliver models and services into production.
We are hiring a hands-on Senior Data Scientist to help build the next level of Crunchbase personalized experience.

We are looking to go deeper on the data we have, generating and presenting insights that help our users better understand our data and offer observations and recommendations specifically tailored to their use-case. The ideal candidate is passionate about not only data and what it can teach us, but also about our users and how to drive an experience that helps them engage with and better use our data.

What You'll Do:

Help drive the Crunchbase personalization engine and turn our business vision into features
Collaborate with the product team and other partners to help improve our personalized user experience
Work on all aspects of the feature delivery cycle, from conceptualizing and collecting requirements to modeling and productionalizing your code all the way to deployment.
Set up evaluation processes and methodologies with partners to guide experiments
Conduct research to implement prescriptive and predictive models at a production level of quality according to our business needs, data patterns, and performance requirements
Work side by side with machine learning engineers and data engineers to come up with plans to put the models/algorithms into production
Develop statistical and machine learning models to better understand users and their journey in general
Contribute to defining and enhancing our machine learning platform capabilities from the ground up
Help establish processes and standard methodologies to help grow our data science guild

What We're Looking For:

Strong statistics and machine learning background
4+ years of proven experience as a Data Scientist
You are an excellent communicator and able to explain sophisticated issues to colleagues in simple terms
You like to understand the product and deliver meaningful features that drive the business forward
You enjoy owning and pursuing a challenging research agenda and carrying out long-running projects autonomously with the team
You are familiar with an array of analytics and big data tools (e.g SQL, etc)
You have hands-on experience on shipping machine learning-based projects in production and delivering significant impact to customers
You are a big believer in the Build-Measure-Learn methodology
Experience with personalization and recommendation systems is a plus
Industry experience with NLP is a plus

What Crunchbase offers:

Competitive salary and equity
Remote first policy
Generous Reimbursement policy for learning and development activities
Monthly fitness / mental health reimbursement
10 weeks of fully-paid time off for new parents
Flexible Paid Time Off (PTO)
Volunteering Paid Time Off
Incredible medical, vision, and dental benefits for employees and their families
Free One Medical Group membership for employees and their families
401(k) and Roth plans, and free annual financial adviser check-in
Monthly internet stipend
Work from home allowance to purchase furniture for your work from home space
Annual carbon offset
Matching charity contributions for our Townhall awards
A team of creative, transparent entrepreneurs driven to accomplish our mission

At Crunchbase, we value team members who are passionate and enthusiastic about what we're building here. We believe there is no "perfect" candidate, and want to encourage applying even if all the requirements listed aren’t met. If you're passionate about Crunchbase and looking to learn and grow, then we look forward to reviewing your application!

Crunchbase does not discriminate on the basis of race, creed, color, ethnicity, national origin, religion, sex, sexual orientation, gender expression, age, height, weight, veteran status, military obligations, or marital status. Every day our team is honored to work with entrepreneurs and innovators from every corner of the globe, and we aim to build a team that reflects the diversity of our customers. Each individual at Crunchbase brings their own perspectives, work experiences, lifestyles, and cultures with them, and we believe that a more diverse team creates more innovative products, provides a better service to its customers, and helps us all grow and learn as individuals.

#LI-MF1  #BI-Remote