Senior Data Scientist Credit

About Caribou
At Caribou, we’re on a mission to help people save money and take control of their car payments. Caribou does this by using technology to unlock low rates, and people to make the process easy and enjoyable. We offer a fully online application and a dedicated team to walk you through the process. We put Drivers in control.
Caribou is a hyper-growth company built by leaders from the technology, automotive, and finance industries. We have grown 20x in the past three years and raised a $115M Series C. We’re proud to be backed by a great team of investors, including QED Investors, Goldman Sachs, Moderne Ventures, Accomplice, Link Ventures, Motley Fool Ventures and others.
About the Role
Caribou is looking for a Senior Data Scientist to help develop modeling and quantitative strategies in the Credit space. You’ll work closely with our Credit Strategy team to develop credit-centric productionized models including estimating propensity to respond to mailers and propensity to default on loans, among others. You’re familiar with credit data and best practices in the space, but also can think outside the box to develop novel solutions to major strategic initiatives for the business. You thrive in fast paced environments and have a knack for taking unstructured problems and breaking them down into digestible and actionable pieces.
Responsibilities

Identify and solve business challenges in the credit space with advanced data science and analytics tools, including audience selection and credit risk
Partner with credit, product and engineering to translate business insights into productionalized models to meet business needs
Work with product and engineering to set up the necessary pipelines and infrastructure to deploy productionalized models at scale throughout various parts of the business
Act as a thought partner to our Credit and Strategy and Analytics functions to develop a winning data-driven strategy

This role can be based out of Caribou offices in Washington, DC; Denver, CO; Austin, TX. Alternatively, the role may be based remotely within the U.S. Caribou currently requires that all personnel and visitors to any of its offices are fully vaccinated against the COVID-19 virus.  As a result, candidates must be fully vaccinated against COVID-19 to be eligible for this position (subject to any exemptions or accommodations due to medical or religious reasons).
About You
We are looking for a candidate with:

A degree in a quantitative field like computer science, math, economics, statistics, finance, or engineering
3-5 years of experience in a data science role in the technology or finance space

Experience working consumer data (especially consumer finance), including data from credit bureaus

Experience working in cloud ML environments (GCP, AWS, Azure, VertexAI, etc.)
Expert in SQL and Python, including key data science packages (Scikit-learn, XGBoost, Pandas)
Demonstrated ability to explain and visualize complex data science techniques to non technical audiences
The ability to break down and solve large unstructured problems
Independent thinker and self starter

How we will take care of you
Everyone at Caribou is a valued team member, and we always strive to live up to our value Take Care of Each Other. Our compensation and benefits package includes:

Competitive compensation: 125k - 145k annual salary
Equity in a high-growth company
401k savings program with 3% company contribution
Generous paid time off including: 20 days accrued PTO per year, 14 annual company holidays, 16-weeks paid parental leave, bereavement leave, and volunteer day
Robust wellness benefits including company-paid plans for health, dental, vision, mental health, disability and basic life insurance
Optional benefits to suit your individual circumstances such as HSAs, FSAs, supplemental life and medical insurance, and pet insurance
Up to $1,000 per year for eligible professional development expenses

Our Core Values
We come from all walks of life and are joined together by our shared values, which guide our work. This helps us improve life for our customers, our communities and our team members.

See people as people
Take care of each other
Commit to the mission
Move quickly and bravely
Get better every day
Seek truth

Caribou is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, marital status, military or protected veteran status, genetics, or any other characteristic protected by law. This position is not restricted solely to the responsibilities listed above, and the scope and responsibilities are subject to change. A pre-employment background check is required as a condition of employment.
#LI-REMOTE#LI-NH1 #ZR


Lead Data Scientist

Headspace and Ginger have recently merged to become Headspace Health! While roles are still being recruited separately on our respective websites, new hires from this point forward will be joining Headspace Health. For more information, please speak with your recruiter!

About the LEAD DATA SCIENTIST at Headspace Health:
Headspace Health is a leading organization that brings mindfulness to all members across the globe. We are seeking a Lead Data Scientist to conduct statistical analysis and develop science solutions to drive data-driven decision making across marketing, product, content, and B2B. Initial focus areas include paid media optimization, pricing and portfolio optimization, and content valuation; with the opportunity to conceptualize and develop innovative solutions across all operating areas of Headspace Health. This role will have significant impact and visibility, with the analysis and science models developed by this scientist influencing Headspace Health’s most critical business decisions.

How your skills and passion will come to life at Headspace Health:

Leverage technical expertise in statistics, econometrics, and/or machine learning to independently develop innovative and rigorous science solutions
Lead projects end-to-end, inclusive of structuring a suitable scientific approach to address a business problem, developing a work plan, building the solution, socializing results with stakeholders, and collaborating with other teams to implement
Dive deep to identify business opportunities to improve decision making, and design and develop science solutions to push Headspace Health forward in these areas
Build forecasting and causal models to understand the forecasted performance and causal lift/ ROI of business decisions across marketing, product, content, and B2B
Be passionate about Headspace Health’s mission to improve the health and happiness of the world

What you’ve accomplished:

5+ years of experience in industry developing and implementing data science solutions

Bachelor’s degree in statistics, economics, computer science, mathematics, physics, or a related field
Experience with propensity models, clustering analysis, time series forecasting, and causal methods

How to get started:If you’re excited by the idea of seeing yourself in this role at Headspace Health, please apply with your resume and a cover letter that best expresses your interest and unique qualifications.

How we feel about Diversity & Inclusion:
Headspace Health is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together.
As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.
*Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace Health. Please inform our Talent team if you need any assistance completing any forms or to otherwise participate in the application process.

Headspace Health participates in the E-Verify Program.


Sr Data Scientist

 **Please Note: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.**

Who we are:  At Hypergiant, our work is driven by individuals pushing the boundary and always professionally challenging our clients to think differently. We’re seeking individuals who are both analytical and creative and can help us fuel our motto: Tomorrowing Today. We’re based in Texas and have a strong track record of working with some of the biggest brands around the world in industries spanning retail, oil & gas, energy, aviation, healthcare, and more. We provide large enterprises with cutting-edge advice, bespoke technology solutions, and deployment expertise needed to harness the value out of Artificial Intelligence and Machine Learning. Our goal is to work with forward-thinking organizations and to help them understand how Artificial Intelligence will affect their business and their industry.
Hypergiant is putting together a world-class team of Machine Learning & AI practitioners and is seeking stellar Data Scientists to join our movement in supporting highly complex DoD projects. Working closely with a small team, the ideal candidate will make impactful decisions on highly sensitive government engagements
At Hypergiant, you will enjoy a unique opportunity to use your creativity both to pursue fundamental research and to apply cutting-edge techniques within applied projects. You will work to evaluate, improve, and develop products for Hypergiant and our clients. You will be responsible for collecting, analyzing, and interpreting vast amounts of client data to identify ways to help their business improve operationally and gain a competitive edge over their rivals. As a Senior Data Scientist, you'll guide research, architect innovative new workflows, and tackle the most challenging problems and most complex data sets.

Responsibilities

Design, build and optimize data-driven models using machine learning, and analytical techniques.
Design, implement, and manage data science workflows, including processes and standards for collecting, cleaning and regularizing data.
Design and implement Computer Vision models
Evaluate and recommend 3rd party data science tools and services.
Conceive and create insightful visualizations of data and models.
Advise on best practices and identify and recommend promising new techniques in machine learning and data analytics.
Collaborate with engineers to deploy models into production.
Document and present model plans and results, workflows, best practices, and recommendations.

Required Qualifications

5+ years of experience as a Data Scientist.
4+ years of experience in programming in R, Python or similar languages
4+ years of experience in data mining and analytics techniques.
4+ years of experience in Computer Vision.
Working knowledge of Generative Adversarial Networks (GAN).
Demonstrated aptitude in designing and implementing data driven models using machine learning techniques such as Decision Trees, Random Forest, Support Vector Machines, and Neural Networks.
Familiar with various Machine Learning algorithms, Natural Language Processing (NLP), and Statistical methods preferred.
Proven creative problem-solving skills.
Strong written communication skills
Must be eligible to obtain Security Clearance for government information systems access.

Preferred Qualifications

Experience with DoD information systems.
Active Security Clearance a plus.

Hypergiant, LLC is an equal opportunity employer. We welcome and encourage diversity in the workplace. We offer a generous benefits package, including company contribution to medical benefits. We offer unlimited PTO. In addition, we offer a fun, flexible work environment, company-sponsored activities, and commit to providing each employee with job satisfaction by addressing core needs. Learn more at hypergiant.com.


Principal Data Scientist

Why We Need You:
As a Principal Data Scientist, you will be responsible for identifying, scoping, and delivering features with a focus on data science and machine learning. You will anticipate data and science-related bottlenecks, suggest escalation and investment wherever necessary, communicate immediate and long-term technical as well as strategic solutions and trade-offs, and will possess an excellent capacity to manage time. In addition, you will demonstrate emotional intelligence as you navigate stakeholder relationships championing data science and machine learning in the organization. If you are technically savvy, innovative, and excited about fostering an environment amongst our engineers that helps create avenues for success and learning, then this is an excellent opportunity for you.

How you contribute to our vision: Key Responsibilities

Build data-driven solutions to solve business-critical problems across multiple domains
Work both independently and collaboratively with other data scientists, product managers, engineers, and designers to solve complex problems that deliver business value
Drive and Influence leadership to drive more data-informed decisions
Provide guidance, technical leadership, and mentoring to other members of the team
Proactively recommend improvements and new approaches addressing potential systemic pain points and technical debt

Minimum Requirements

Graduate degree in computer science, statistics, mathematics, or related quantitative field.
You have 8+ years of experience using machine learning for building data-driven product solutions for large-scale systems.
Hands-on experience in Python, SQL, and other related tools
Have an entrepreneurial mindset to drive research projects to completion with minimal guidance.
Strong ability to justify technical prioritization and communicate scientific work in a clear and effective manner to stakeholders, other engineers, and Product
Experience working with Engineering teams ensuring a timely delivery
Ability to articulate difficult technical nuances to different audiences
Passionate about the field of data science and creating impact in the organization driving strategic data science ROI discussions


Senior Data Scientist City Success

Lime is the world's largest shared electric vehicle company. We are on a mission to build a future of transportation that is shared, affordable and carbon-free. Named a Time 100 Most Influential Company in 2021, Lime has powered more than 250 million electric bike and scooter rides in more than 200 cities across five continents, saving an estimated 60+ million car trips. Learn more at li.me!

We are looking for a Data Scientist to join our growing team as we enter a new phase of expansion. The data science and analytics (DS&A) team’s mission is to make Lime sustainable and more valuable, by identifying and steering the business towards opportunities, guiding the organization to make the best possible decisions, and enabling effective implementation and operations.

In this role, you will work with product, engineering, and business organization teams (such as government relations and city success teams) to address challenges and opportunities across the company, and support planning the long-term direction for Lime. You’ll set up end-to-end analytical capabilities (pipelines, instrumentation, measurement, and modeling as required) that will feed our data-driven decision-making on which levers to pull according to the business needs.

Key strengths of this role include curiosity, motivation, and technical abilities to operate independently and cross functionally in a fast-paced environment.

What You'll Do:

Define metrics and build data pipelines that make data insights accessible to all
Understand performance and key drivers of performance to provide ongoing deep dives that help stakeholders understand and predict business performance
Manage strategic and cross-functional initiatives both on an on-going and ad-hoc basis
Make business recommendations using effective presentation skills, conveying findings at multiple levels including executive leadership, managers, and peers through visual displays of quantitative information
Utilize excellent communication skills to work cross-functionally with business leaders, Operations, and Product teams in order to identify opportunities, design, and assess improvements to our business
Conduct non-routine analyses, including data gathering, processing, analysis employing advanced statistical and machine learning methods, with ongoing deliverables to improve the quality of Insights

About You:

Bachelor’s degree in a quantitative field (e.g. engineering, sciences, math, statistics, business, public policy or economics).
4+ years of experience in working with datasets and conducting data analysis using SQL.
Hands-on experience with data pipelines and visualization tools.
Hands-on experience with experiment design, A/B testing, and causal analysis is a must.
Ability to work with autonomy in a fast-paced environment, a strong sense of accountability, and attention to detail

What We Offer:

Opportunity to revolutionize transportation in cities around the world with the leader in urban mobility solutions
Scale with a rapidly growing organization, with significant opportunity for growth
Play a role in the transformation of urban mobility and sustainability
Work with a team of successful, fun and motivated people
Competitive salary and benefits

In accordance with Colorado State Law, if the candidate selected for this job resides in Colorado, the anticipated minimum salary will be $106,000,plus bonus and equity (when eligible), as well as benefits. Exact salary will ultimately depend on the candidate’s qualifications. In addition to base salary, this role will be eligible for a variable bonus based on a combination of management discretion and employee performance.

#LI-Remote

Lime is an Equal Opportunity Employer, but that’s only the start. We strive to build a workforce composed of individuals with different backgrounds, abilities, identities, and mindsets—not just to do great work, but to become a better company and grow as individuals.


Staff Data Scientist Machine Learning

Lime is the world's largest shared electric vehicle company. We are on a mission to build a future of transportation that is shared, affordable and carbon-free. Named a Time 100 Most Influential Company in 2021, Lime has powered more than 250 million electric bike and scooter rides in more than 200 cities across five continents, saving an estimated 60+ million car trips. Learn more at li.me!

 Data is at the core of every decision at Lime - from designing vehicles, to deploying them, enhancing the user’s experience, optimizing our supply chain or warehouse operations. Every team at Lime engages with Data Science & Analytics. Our goal is to provide data insights and models that drive better business outcomes.

We are looking for intellectually curious, highly motivated individuals to join our Data Science & Analytics team. You will partner with our Engineering, Product, and Operations teams to identify critical issues to the business, develop a deep understanding of them, and design scalable solutions. You will leverage your quantitative and modeling skills to transform signals into insights, and insights into actions. You should have strong ML or optimization modeling skills, analytical insights, excellent communication abilities, and a knack for working across teams in a fast-paced environment.

What You'll Do:

Develop machine learning models in Python that help optimize business decisions. Examples include demand forecasting, routing and labor pricing.
Guide product and strategic decisions with experimentation and in-depth analyses
Conduct statistical analysis to extract insights from the data and communicate findings

About You:

MS or PhD in Economics, Statistics, Applied Mathematics, or other quantitative fields
5+ years of industry experience as a Data Scientist
Proficient in SQL and a programming language such as Python
Hands-on experience with data pipelines and visualization tools
Deep and practical understanding of probability and statistics, including causal inference
Solid understanding of Machine Learning algorithms - practical experience building ML models preferred
Solid understanding of optimization algorithms - practical experience around vehicle routing problems preferred
Ability to communicate technical concepts to a general audience
Strong communication skills with a consistent record of collaborating across a wide variety of teams and disciplines in a dynamic environment

What We Offer:

Opportunity to revolutionize transportation in cities around the world with the leader in urban mobility solutions.
Scale with a rapidly growing organization, with significant opportunity for growth.
Play a role in the transformation of urban mobility and sustainability.
Work with a team of successful, fun and motivated people.
Competitive salary and benefits.

In accordance with Colorado State Law, if the candidate selected for this job resides in Colorado, the anticipated minimum salary will be $134,000 plus bonus and equity (when eligible), as well as benefits. Exact salary will ultimately depend on the candidate’s qualifications. In addition to base salary, this role will be eligible for a variable bonus based on a combination of management discretion and employee performance.

#LI-Remote

Lime is an Equal Opportunity Employer, but that’s only the start. We strive to build a workforce composed of individuals with different backgrounds, abilities, identities, and mindsets—not just to do great work, but to become a better company and grow as individuals.


Data Science Team Lead

About the role
We are looking for an excellent data science team lead with the drive and enthusiasm to manage, mentor and inspire our team of data scientists.
Data science is at the heart of what we do, from our recommendation engine and our greenfields machine learning projects to our Bayesian experimentation and optimisation. This is a great opportunity to play a crucial role in guiding and scaling our data science team as we move into a period of investment and growth.
We work in an AWS, snowflake, dbt, looker, python and fivetran stack and you would ideally be comfortable with these (or similar) and have a strong background and expertise in machine learning, programming and statistics. You should also be able to demonstrate a deep understanding of how these and other techniques can be applied to business problems and generate value.
As our data science team lead you will need to be comfortable managing people and bringing out the best in them, confident advocating for your team when required and enjoy fostering best practices. You will also be responsible for planning and managing an internal data science roadmap as well as executing this plan.
You will also need to be a part time individual contributor - and be confident taking a project brief and drawing out requirements, designing mvp solutions and getting sign off with the various stakeholders. Combining this with leading a team you will need to be adept at managing your time to execute the plan and/or supporting others in the team to do so.
We are looking for someone who is a self-starter, with the ability to see the big picture and understand how our data points are connected. We would like you to use your excellent communication skills to simplify concepts and explain them to others, and be comfortable liaising with people from all levels of the organisation whilst translating their needs and wants into clear requirements.
The successful candidate will join our fast growing and dynamic data team and work alongside our data engineers, analytics engineers, and customer analysts to provide the data products and insights which make a difference across the business.
To succeed in this role you will need to manage and mentor a high performing data science team which designs, creates and maintains intelligent data products and drives measurable business value.


Senior Manager Data Science

At Jungle Scout, we are on a mission to empower entrepreneurs and brands to grow successful e-commerce businesses, and we provide the industry-leading data, powerful tools, and resources they need.
Do you enjoy working on models and systems that drive hundreds of millions of dollars in investment, advertising, and product decisions for our customers?
Do you get excited designing systems that train hundreds of models per week and serve over 6m predictions per day?
Are you interested in fostering a data science culture of experimentation, collaboration, and incremental delivery?
Amazing, then you’re the type of person we’re looking for!
We’re growing and we are looking to add a Senior Manager, Data Science to our fast-paced and customer-oriented Data team.
Location
We’re a remote-first company and looking to hire this person anywhere between the PST - EST timezone.
Interested in learning more? Let’s get into the details:
In the Senior Manager, Data Science role, you will:
Lead full-stack data science teams made up of Data Scientists, Data Engineers, and Machine Learning engineers who own the model lifecycle from end-to-end.
Foster a high bar in customer thinking and analytical rigor through selective hiring and mentorship.
Partner with other data teams to ensure your team has the data and infrastructure to be successful.
Collaborate with Customer Success and Sales to help tell Jungle Scout’s data story to our customers.
Measure the success of your team and their models through a set of KPIs that you create and refine through analysis and experimentation.
Contribute to Jungle Scout’s data strategy through analysis, ideation, and collaboration with Product.
Who you are:
Leader. You have led multiple data science teams in different problem spaces and can lead projects and teams with minimal guidance.
Mentor. Track record of mentoring and promoting high performing data talent.
Creative Thinker. You can think outside of the box to solve problems and create solutions for our customers at different levels of sophistication.
Analytical. Proven ability to analyze and derive insights from large data sets.
Production-Minded. You have led teams that have deployed models at scale through multiple iterations. Your teams have built and deployed MLOps solutions to automate the model lifecycle.
Customer Focused. You have a proven ability to frame data science and analytics problems through the lens of the customer.
Bonus Points if have:
Experience in Ecommerce
Experience with AWS
Previous hands-on experience building cloud-native machine learning systems
About Jungle Scout
Jungle Scout is the leading all-in-one platform for selling on Amazon, supporting more than $8 billion in annual Amazon revenue. Founded in 2015 as the first Amazon product research tool, Jungle Scout today features a full suite of best-in-class business management solutions and powerful market intelligence resources to help entrepreneurs and brands manage their e-commerce businesses. Jungle Scout is headquartered in Austin, Texas and supports 10 global Amazon marketplaces.
The Jungle Scout team is a group of smart, motivated, and fun-loving professionals working hard to help our customers achieve success. We have a remote-first culture with employees across the world as well as in our hub offices in Austin, TX; Vancouver, BC; and Shenzhen, China. We believe team members should have the opportunity to choose the work environment that works best for them, so we give our team members the option of working from home, at one of our hub offices, or from a co-working space.
We offer workplace flexibility, competitive compensation packages, 401K/RRSP matching, generous vacation, and professional development to help you thrive in your career. The entire Jungle Scout team also gathers for annual all-expenses-paid retreats — past locations have included Bali, Bangkok, Vietnam, Budapest, Mexico, Colombia, and Costa Rica.  Check us out!
We prioritize Diversity, Equity, and Inclusion
At Jungle Scout, we hire great people from a wide variety of backgrounds, not just because it’s the right thing to do, but because it makes our company stronger.
Jungle Scout is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
All offers of employment at Jungle Scout are contingent upon clear results of a comprehensive background check. Background checks will be conducted on all final candidates prior to start date.


Senior Data Scientist

At Jungle Scout, we are on a mission to empower entrepreneurs and brands to grow successful e-commerce businesses, and we provide the industry-leading data, powerful tools, and resources they need.
Senior Data Scientist
At Jungle Scout, we are on a mission to empower entrepreneurs to be successful Amazon sellers. We work hard, keep it real and do it all for our customers by providing industry-leading products, education, and content.
We’re growing and we are looking to add a Senior Data Scientist to our fast-paced and customer-oriented Engineering team.
Location: We’re a remote-first company and looking to hire this person anywhere between the EST - PST  timezone.
Interested in helping us innovate and build industry-leading data-driven products for our customers? Let’s get into the details:
In this role, you will:
Work with stakeholders throughout the company to source opportunities for creating data-driven products
Regularly present and communicate insights to high-level business stakeholders
Extract mission-critical insights from datasets
Innovate and bring creative ideas to building mission critical customer facing products that depend on data science
Work with senior business leaders to identify solutions and best practices
Create scalable models that drive business decisions and enable our customers’ success
Mentor team members in the areas of technical expertise and career building
Develop tools to monitor models for evolving performance and accuracy
Contribute to best practices around feature extraction, model development, and knowledge sharing among multiple data science teams
If your answer is “heck yeah!”, please read on….
You will excel in this role, if you have:
Been in the Data Science game for some time. You either have a PhD and 3+ years of experience or your Masters and 5+ years of industry experience.
Experience solving nebulous problems using a systematic, analytical approach
Proven ability to architect data science solutions to complex problems and delivering solutions in customer facing products
A solid understanding of machine learning and applied mathematics in the areas of statistics, linear algebra, optimization techniques, etc
Strong programming skills in Python
A strong command of SQL and working with multiple relational databases and data warehouses (Redshift, Postgres, Athena, Snowflake, etc…)
Experience in end to end machine learning project life cycle
The ability to communicate insights through visualizations using libraries such as matplotlib, seaborn, plotly, etc…
Experience working with unstructured data
Experience with deep learning frameworks such as TensorFlow and PyTorch
Are scrappy when extracting useful insights with partial data
A solid experience in working with software development teams and using source version control tools like Git
Bonus points, if you have experience:
Analyzing big datasets using tools such as Apache Spark
Developing and deploying using Docker
With some of the AWS services (e.g. EC2, S3, Sage Maker, Cloudwatch)
On frameworks for in-production ML code (e.g. Kedro)
With accessing data from other datastores in the AWS ecosystem such as ElasticSearch, S3, and DynamoDB
About Jungle Scout
Jungle Scout is the leading all-in-one platform for selling on Amazon, supporting more than $8 billion in annual Amazon revenue. Founded in 2015 as the first Amazon product research tool, Jungle Scout today features a full suite of best-in-class business management solutions and powerful market intelligence resources to help entrepreneurs and brands manage their e-commerce businesses. Jungle Scout is headquartered in Austin, Texas and supports 10 global Amazon marketplaces.
The Jungle Scout team is a group of smart, motivated, and fun-loving professionals working hard to help our customers achieve success. We have a remote-first culture with employees across the world as well as in our hub offices in Austin, TX; Vancouver, BC; and Shenzhen, China. We believe team members should have the opportunity to choose the work environment that works best for them, so we give our team members the option of working from home, at one of our hub offices, or from a co-working space.
We offer workplace flexibility, competitive compensation packages, 401K/RRSP matching, generous vacation, and professional development to help you thrive in your career. The entire Jungle Scout team also gathers for annual all-expenses-paid retreats — past locations have included Bali, Bangkok, Vietnam, Budapest, Mexico, Colombia, and Costa Rica.  Check us out!
We prioritize Diversity, Equity, and Inclusion
At Jungle Scout, we hire great people from a wide variety of backgrounds, not just because it’s the right thing to do, but because it makes our company stronger.
Jungle Scout is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
All offers of employment at Jungle Scout are contingent upon clear results of a comprehensive background check. Background checks will be conducted on all final candidates prior to start date.


Sr Data Scientist Ads Experimentation Analytics

We are looking for a senior data scientist to be a part of the Ads Data Science team. You will work closely with product managers, engineers, and data scientists to up-level the experimentation capabilities of the ads organization. You have a strong understanding of experimentation, are not afraid to challenge the status quo, and thrive in a cross-functional environment.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Responsibilities:

Elevate the experimentation practice for the Ads org by creating the right processes, templates and tools catered for ads use cases.
Lead an experimentation council that can approve/guide experiment designs for various product launches.
Explore new experiment designs/techniques such as small sample enhancements, Bayesian approaches, causal inference methodologies, dosage response studies, staggered experiments etc and apply them successfully for complex experiments on the ads side of the business.
Liaise with the centralized experimentation team in building infrastructure for budget split experiments and multi-cell experiments.
Guide various ads product teams in understanding network effects and novelty effects when running experiments.
Track and own the experiment calendar for the ads org. Run biweekly experiment review discussions.
Create frameworks for making metric trade-off decisions, especially when they span multiple organizations. An example is ads vs consumer metric tradeoffs.

What We Can Expect From You:

Master’s or PhD degree in a quantitative major (e.g., mathematics, statistics, economics, finance, computer science).
2 years of experience with experimentation, preferably for a consumer-facing service/app.
5+ years of experience in quantitative/modeling roles.
Proficiency with statistical analysis and programming languages (Python, SQL).
Understanding of experimentation and causal inference analyses.
Experience with digital advertising is preferred, but not required.


Sr Data Scientist Analytics Growth Retention

We are looking for a results-oriented and strategically minded Product Data Scientist to work with our Growth team as Reddit expands its user base and deepens user engagement. In particular, you will be focused on understanding what brings new users to Reddit, what drives Reddit users to keep coming back, and how to transform new user experience. Your work will be critical in how Reddit delivers personalized experiences and nurtures deeper connections between people and their communities.
You will work side by side with a world-class org of Engineering, Machine Learning, Community Operations, Product Management practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product creation. As a Sr. Data Scientist, you will be influential in product prioritization and strategic direction. In this process, you will be exposed to a variety of new techniques in experimentation, machine learning, and exploratory analysis.
Reddit is continuing to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
How You’ll Have Impact:
Understanding and identifying the levers to create a successful first experience and to deepen user engagement are pivotal to accelerate Reddit’s growth. You will understand how existing features deliver value to our users in order to uncover new opportunities and influence future strategic bets and product vision.
What You’ll Learn:
You will drive insights in improving Reddit’s onboarding and early retention for a global and fast-growing user base through analyses and experimentation. You’ll be an expert on what people are looking for in online social communities, why they come to Reddit, and how we can create an experience that supports our users’ needs.
What You’ll Do:

Partner cross functionally with Eng and Product leads to help define and execute Retention’s roadmap and initiatives
Become the analytical expert through exploratory and strategic analyses on onboarding intent and roadblocks and longer-term new user retention levers to influence product roadmaps
Generate actionable insights and opportunity sizing to steer product priorities and execution
Design and evaluate A/B tests for product feature experiments to determine the effectiveness of product strategy
Define team metrics and goals and work with the Data Warehouse team to create ETLs (extract/transform/load) and reporting dashboards

Who You Might Be:

6+ years of experience in quantitative analytical roles, preferably for growing at-scale consumer products outside the US
Proficiency with relational database (e.g., SQL)
Familiarity with statistical analysis and programming languages (e.g., R / Python)
Results-oriented with a strong customer and business focus
Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments.
Ability to communicate and discuss complex topics with technical and non-technical audiences
Ability to tackle ambiguous and undefined problems
Previous experience with product growth preferred


Sr Data Scientist Machine Learning Search

Reddit brings hundreds of millions of people together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities.
We are looking for a Data Scientist, Machine Learning to partner with our Search Relevance and UX teams to drive user and query understanding for Reddit Search. Generating billions of events and terabytes of data a day, we’re in the unique position to revolutionize content discovery on the internet. We are overhauling Reddit’s search and relevancy infrastructure, and we depend on data to make sure that we can trust our decisions and constantly improve the Reddit discovery experience.
As a Data Scientist, Machine Learning focused on Search you will help us expand beyond the front page and better connect users to the specific content they care about. If you are curious, excited about measuring user success, and motivated by having an impact on a platform that creates community and belonging for everybody in the world: we want you in the team! You will partner with other data scientists, engineering teams, PMs, and designers, and your work will help encourage people to find communities and content that they love. In addition to strong modeling skills, we are seeking a candidate with solid business acumen who can apply modeling outcomes to strategic product decisions.
How You’ll Have Impact:
Reddit’s mission is to bring community and belonging to everyone in the world, and you will be pivotal in making that happen. Reddit has over 100,000 communities, and a true sense of community and belonging can only be achieved by ensuring we are able to connect the right people to the right communities within that network. Your work on Reddit Search will directly contribute to those efforts.
What You’ll Learn:
As the first machine learning data scientist on the team, you will be the expert in helping us identify the best strategies for modeling our users and how to connect those models to real product challenges.
You will work side by side with some of the best Data Scientists, Software Engineers, and Machine Learning Engineers in the world, and will have exposure to everything and anything related to our communities at Reddit. You will also have access to one of the coolest data sets in the world that empowers Natural Language Processing (NLP) applications, Information Retrieval (IR) applications, and social network analysis. This is an exciting opportunity to dig into the data behind the “front page of the internet.”
What You’ll Do:

Partner cross-functionally with Eng and Product leads to help define and execute Reddit Search’s roadmap and initiatives.
Leverage machine learning to help understand and classify user intent with search, and leverage that understanding to improve the Reddit product experience.
Be involved in all phases of modeling including ideation, offline modeling, online implementation, experimentation, deploy and post-launch monitoring/measurements.
Identify the signals and segments that can be best leveraged to connect users, through Search, to the communities and content that will inspire them to contribute posts or comments.
Become a key stakeholder in Search success, improving not only the user experience but how we measure success.
Ensure high-quality and trustworthy Search experiment results and ensure that experimental designs lead to action.
Collaborate and mentor other data scientists and share modeling frameworks or techniques to elevate the org.

Who You Might Be:

6+ years of experience in Data Science & Analytics or a related field, preferably for a consumer-facing service/app.
2+ years of experience focused on a search or discovery product or feature.
Proficiency with relational databases (e.g., SQL).
Familiarity with statistical analysis and programming languages (e.g., R / Python).
Results-oriented with a strong customer and business focus.
Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments.
Able to design, interpret, and act on A/B experiments.
Capable of communicating complicated models to a non-technical audience.
Ability to communicate and discuss complex topics with technical and non-technical audiences.
Ability to tackle ambiguous and undefined problems.


Applied Researcher Machine Learning

For more than 20 years, PointClickCare has been the backbone of senior care.  We’ve amassed the richest senior care dataset making our market density untouchable and our connections to the healthcare ecosystem exponentially more powerful than those of any other platform.

With Collective Medical & Audacious Inquiry, we’ve become the most expansive, full-continuum care collaboration network, offering care teams immediate, point-of-care access to deep, real-time insights at every stage of a patient’s journey.

For more information on PointClickCare, please connect with us on Glassdoor and LinkedIn.

Location: US (Remote) or Canada (Remote)

As an Applied Researcher – Machine Learning within the PointClickCare Advanced Technology team, you will work with customers, product leaders, subject matter experts, other highly experienced applied researchers, engineers, or others on cutting-edge research and development projects to address the needs of users in the acute, post-acute, long term and cross-continuum care space to truly transform healthcare.
Examples of typical project areas and responsibilities include end to end responsibilities for developing, improving, and validating new machine learning models, working with other researchers to improve and validate the performance of machine learning models, and working with engineers on infrastructure to support the automated deployment and management of models or incorporating models into large scale commercial SaaS products. This role will involve hands-on work in one or more applied machine learning technology areas such as deep learning, machine vision, and natural language processing, or other advanced technologies. Relevant industry experience and Python skills are required.

Responsibilities:

·            Perform research, experimentation, and related engineering to design, build and evaluate machine learning-based models to be deployed into production environments,

·            Tasks may include (for example) data collection, data cleaning, data analysis, model training, development, and evaluation, and scaling up the system.

Required Experience:

·                Master’s degree or equivalent experience in Computer Science, Math, Physics, Engineering or a related field and experience with advanced mathematics or statistical methods applicable to machine learning.

·                Proven industry experience, through one or more commercial product releases

·                Proficiency in Python

·                Experience doing data engineering for ML applications, including exposure to database systems and proficiency with SQL.

·                Exposure to building models from big data using modern machine learning packages and data analysis stacks such as NumPy, SciPy, Scikit-learn, Pandas, Keras, Tensorflow, PyTorch, CNTK or NLTK

·                Curious problem finder and problem solver, able to think both creatively and methodically.

·                Strong interest in applying machine learning to healthcare-related problems and data.

·                Works well with others and independently and comfortable working on a distributed team

Helpful Experience:

·             Experience working with large data sets using big data processing frameworks (e.g. Azure Data Lake, HDFS/Hadoop, Spark or other cluster computing/MapReduce frameworks) and/or public cloud infrastructure (Azure, AWS, Google Cloud) for building, evaluating, or deploying machine learning models is a plus.

#LI-Remote
#LI-AV1

It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations.

When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com

PointClickCare is committed to Information Security.  By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.


Data Scientist

Showtime Networks Inc. (SNI), a wholly owned subsidiary of Paramount, owns and operates the premium service SHOWTIME®, which features critically acclaimed original series, provocative documentaries, box-office hit films, comedy and music specials and hard-hitting sports. SHOWTIME is available as a stand-alone streaming service across all major streaming devices and Showtime.com, as well as via cable, DBS, telco and streaming video providers. SNI also operates the premium services THE MOVIE CHANNEL™ and FLIX®, as well as on demand versions of all three brands. SNI markets and distributes sports and entertainment events for exhibition to subscribers on a pay-per-view basis through SHOWTIME PPV®. For more information, go to www.Sho.com.
Remote: Data Scientist
Description: Showtime is seeking a data scientist to join the Data Strategy team. This role will report to the Senior Director of Data Science. Working alongside of Analytics & Insights, Consumer Insights, Programming Research, Finance, Consumer, Digital Marketing, Sales, and Product teams. The Data Science team focuses on providing robust analytics that transform billions of customer data points into useful data products and consumer insights that support data-driven decision-making in every corner of our business – e.g., content analyses, programming strategy, subscriber analyses, marketing strategy, forecasting models that influence Showtime’s scheduling and distribution strategy, and dashboards that are regularly used by Showtime executives.
About You: You LOVE data: you love exploring the nooks and crannies of data, you love developing pipelines that reliably and efficiently process data, and, most importantly, you love communicating data! We are looking for an individual who has experience creating and maintaining data products, whether these take the form of data-pipelines, Tableau dashboards, or statistical models. Successfully building data products at Showtime will require deep Python experience, writing code as part of a team (Git), and experience using statistical models in a business context.
Qualifications
3 + years of hands-on experience developing data pipelines that culminate in statistical models and/or dashboards
Strong verbal and written communication skills
Experience writing Python (Pandas) and (Git)
Experience with media or subscription businesses
Experience with distributed computing (PySpark, Databricks) is a nice to have
Experience with Apache Airflow a plus
Experience with cloud deployments (AWS)
Experience building Dashboards (Tableau) is a plus
Responsibilities
We build and maintain ‘production-grade’ analyses, data pipelines, and statistical models
Developing a deep understanding of Showtime such that the candidate will work directly with key partners throughout the company and larger corporation to understand their analytics needs and translate these needs into reliable data-solutions
Clearly communicate critical metrics to key partners and data professionals throughout Showtime and the larger Paramount corporation
Develop deep knowledge about our data pipelines such that you can communicate the ‘who, what, where, when, how, & why’ of our data
Define new important metrics that help Showtime develop a deeper understanding of our business!
Paramount is an equal opportunity employer (EOE) including disability/vet.
At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access. https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to viacomaccommodations@viacom.com. Only messages left for this purpose will be returned.


Senior Data Scientist

Company Description
Wish is a mobile e-commerce platform that flips traditional shopping on its head. We connect hundreds of millions of people with the widest selection of delightful, surprising, and—most importantly—affordable products delivered directly to their doors. Each day on Wish, millions of customers in more than 160 countries around the world discover new products. For our over 1 million merchant partners, anyone with a good idea and a mobile phone can instantly tap into a global market.
We're fueled by creating unique products and experiences that give people access to a new type of commerce, where all are welcome. If you’ve been searching for a supportive environment to chase your curiosity and use data to investigate the questions that matter most to you, this is the place.
Job Description
At Wish, our Data Science & Engineering team is composed of Data Scientists, Data Analysts & Data Engineers who focus on centralizing corporate data in order to gain insights, knowledge and scalability, that empower a proactive and rigorous analysis of key business indicators.  Our mission is to derive wisdom from data via the application of Data Science.
Wish has exciting opportunities for talented Data Scientists on our Buyer Side (Product) data science team. This is a unique opportunity to experiment with a 500 million strong consumer base that draws 100+ million MAU.  Successful candidates will have extensive backgrounds in quantitative fields and significant experience with experiment design and execution at scale.
What you'll be doing:
Proactively develop insights and ML models to help us drive marketplace supply quality, diversity and merchant services.Improve our Wish Standards algorithm design to drive better merchant quality.Build the listing quality models to determine the content (title, description, image, video) policy and improve buyer experience.Lead the design, analysis, and interpretation of experiments that shape decision-making across the company.Translate the business problems as DS/ML problems and apply those in a large scale production environment.Become the supply data science tech lead to generate knowledge sharing, trainings and consultations for stakeholders, and model documentation.Mentor junior data scientists on how to use more advanced methods and solve business problems.
Qualifications
Ph.D./M.S. in a quantitative discipline (Computer Science, Statistics, Operations Research, Mathematics, etc.) with 3+ years of relevant work experience.Working knowledge in one or more areas among: Machine Learning – Classical methods / Deep Learning / Reinforcement Learning, Causal Inference, Statistics, Optimization, Scraping at scale.Expertise in Python, SQL, Airflow, Tableau, and strong coding experience and knowledge to make algorithms scale.Experience with leading data science projects from conception to production.Strong business acumen and able to communicate analysis with clarity and precision.Experience in driving marketplace supply insights and growth a plus.
Additional Information
Wish values diversity and is committed to creating an inclusive work environment. We provide equal employment opportunities for all applicants and employees. We do not discriminate based on any legally-protected class or characteristic. Employment decisions are made based on qualifications, merit, and business needs. If you need assistance or accommodation due to a disability, please let your recruiter know. For job positions in San Francisco, CA, and other locations where required, we will consider employment for qualified applicants with arrest and conviction records.
Individuals applying for positions at Wish, including California residents, can see our privacy policy here.


Senior Data Scientist

About the role:
The Samsara AI team builds end-to-end machine learning and computer vision solutions for our customers as well as core ML infrastructure for Samsara. As a Senior Data Scientist you will be a science leader and key contributor in building core models and predictive techniques for use in building and understanding products. You will work closely with other scientists as well as full-stack, firmware, and platform teams to deliver core infrastructure, services, and optimizations.
This role can be office-based or fully remote in the US and Canada.

In this role, you will:

Build and improve the accuracy of ML/CV models, including retraining and optimizing open-source models to solve Samsara-specific problems
Work with petabyte-scale data from Samsara camera and sensor devices to develop new models
Research, adapt, and apply cutting edge techniques in CV and deep learning
Optimize models for inference on the backend and/or on edge devices
Partner with our hardware teams to design devices for optimal performance and cost
Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs
Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new office

Minimum requirements for the role:

BS or MS in Computer Science or other quantitative field (e.g., Applied Math, Statistics)
5+ years experience as a Data Scientist, Machine Learning Engineer, or similar role
Proficiency in data modeling as well as SQL, Python, R, or a similar scripting language
Ability to distill informal or ambiguous customer and business requirements into crisp problem definitions
Proven ability to communicate verbally and in writing to technical peers and leadership teams with various levels of technical knowledge

An ideal candidate also has:

PhD in Computer Science or quantitative discipline (e.g., Applied Math, Physics, Statistics)
Strong functional knowledge of common tools like Jupyter Notebooks, AWS (e.g., EMR, Redshift, S3, Sagemaker)
Record of successful mentoring and development of junior team members
Experience working with large datasets using distributed computing (e.g., Spark, Hive)

#LI-Remote


Data Scientist

Job Title:
Data Scientist
Shift:
Monday-Friday
Department:
Digital Transformation
Category:
Exempt (Salaried)
Approved by:
Digital Transformation
Job Summary:
As a Data Scientist with Panasonic Energy, you will work in a mission-critical and growth-driven environment. You will be responsible for the analyzing massive data sets, building complex models, and proactively identifying problems to support an industry-leading battery assembly line. You will work closely with developers, engineers, project managers, and various other stakeholders to drive significant improvements in efficiency, delivery, resilience, and overall employee well-being across the company.
Essential Duties:
Note: This position has a remote work option.
Leading development of machine learning models/predictive analysis techniques including both repeatable patterns in data and discovering new features that reduce variability in manufacturing process. Understanding business needs and developing methods and tools to find patterns in structured and unstructured manufacturing data. Prototyping and implementing creative solutions for improving battery quality and performance and interface with cross-functional teams to execute the solution.
Providing data analysis support to production teams to resolve complex manufacturing process issues.Working closely with other team members from different processes to increase understanding of failure modes, performance, and life expectancy of battery products.Educating other members on statistical analysis and data science.
Other duties may be assigned.
Personal Protective Equipment (PPE) Requirements:
To ensure the health and safety in the workplace and for the protection of our employees, wearing PPE is a possibility and may include equipment such as a full Tyvek suit, safety shoes, gloves, safety glasses, face mask, bump cap, and a full hazmat suit that includes a respirator.
The foregoing description is not intended and should not be construed to be an exhaustive list of all responsibilities, skills and efforts or work conditions associated with the job. It is intended to be an accurate reflection of the general nature and level of the job.
Qualifications:  Requirements - Required and/or Preferred
Education:
Basic:  Bachelor’s Degree in engineering, computer science, applied math, or related field. Preferred:  M.S. or higher degree in a technical discipline with an emphasis on machine learning.
Essential Qualifications:
3+ years of data science experience within industry. Excellent knowledge of machine learning algorithms, classification, clustering, regression analysis, Bayesian modeling, probability theory, and information retrieval.Excellent understanding of manufacturing/engineering principles and capability of combining practical knowledge and results via data mining to optimize product quality and performance and manufacturing process.Proficiency in Python programming language.Proficiency with statistical analysis tools (e.g. JMP, R, SAS).
Preferred Qualifications:
Familiarity with high-volume automated manufacturing operations. Experience working side-by-side with engineers and other technical members.Strong communication skills and ability to present complex information in an understandable way to both technical and non-technical audiences. Knowledge of or experience using Dash or Tableau.
About Us:
Panasonic Energy of North America (PENA) is collaborating with Tesla at a massive battery factory near Reno, Nevada which is known for its quality of life and expansive outdoor adventures. Panasonic's role at the Gigafactory is to manufacture and supply cylindrical lithium-ion cells to Tesla for their electric vehicles and energy storage systems.
Over the past few years, the Gigafactory has grown to the largest lithium-ion battery factory in the world. Together with our partner Tesla, we continue to revolutionize the lithium-ion battery space and accelerate the world’s transition to sustainable energy and transportation.
Our mission at PENA is to make the vision of affordable Electric Vehicles a reality by producing the world’s safest, high quality, and lowest cost batteries.  Through this effort we will create a clean energy society and our products will change society’s use of and perceptions of electric power.
In addition to an environment that is as innovative as our products, we offer competitive salaries and benefits.
Supplemental Information:
Pre-employment drug testing is required. Due to the high volume of responses, we will only be able to respond to candidates of interest. All candidates must have valid authorization to work in the U.S. without restriction.
Panasonic is an Equal Opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity, sex, sexual orientation, national origin, disability status, protected veteran status, and any other characteristic protected by law.  All qualified individuals are required to perform the essential functions of the job with or without reasonable accommodation.
Thank you for your interest in Panasonic Energy of North America.#LI-Remote#LI-TA1


Senior Applied Scientist I Knowledge Base

Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect entrepreneurs with buyers around the world. Etsy, Inc.'s 'house of brands' portfolio has expanded to now include four individually distinct ecommerce brands -- Etsy, fashion resale marketplace Depop, musical instrument marketplace Reverb, and Brazil-based handmade goods marketplace Elo7. As an Etsy employee, you'll tackle unique problems alongside talented coworkers committed to Keeping Commerce Human. We're large enough that you'll focus on meaningful, complex challenges, but small enough that you can make a rewarding impact.
Job Description
What’s the role?
The Knowledge Base team builds a deeper understanding of our buyers, sellers, listings and entities in order to help enable product teams across Etsy to understand, personalize, and rank recommendations that we present to buyers. We produce models, signals, attributes, graphs and structured data that are being consumed by our Machine Learning, Analytics, Engineering and Product partners.  We are looking for an experienced Applied Scientist who can help build Etsy’s next generation capabilities for marketplace understanding.
This is a full-time position reporting to the Sr. Manager, Knowledge Base. For this role, we are considering candidates based in U.S. who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our flexible work options and vaccination policy here.
What does the day-to-day look like?
Use ML to build rich, semantic understanding of the various kinds of content and inventory in Etsy’s marketplaceBuild user models that allow us to better understand the unique interests, tastes, and shopping mission of Etsy’s buyersUse representation learning to capture different kinds of relationships between Etsy’s inventory based on categorical, stylistic, or thematic similarityDevelop models with custom architecture or objective functions that target Etsy-specific problems, including but not limited to personalized ranking, revenue optimization, seller fairness, and seasonalityWork closely with software engineers, data scientists, product managers, and designersOf course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualifications
Qualities that will help you thrive in this role are:
Successful track record of applying machine learning techniques in addressing real-world problemsExperience with / working in one of the following fields: graph learning, reinforcement learning, deep learning, or computer visionShown success developing productionized machine learning systems. You are comfortable with using git, docker, and other tools for writing robust, production-ready codeAbility to write and manipulate data at a large scale, in distributed environments
Preferred requirements:
An M.S. or Ph.D. degree in Computer Science or related engineering fields, or 3+ years of practical machine learning experienceExperience using Google Cloud PlatformExperience in building production search, recommendations, advertising, knowledge base (structured data), or general e-commerce systems.
Additional Information
What's Next
If you're interested in joining the team at Etsy, please send a cover letter and resume telling us why you'd be right for the position. As you've hopefully seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So write to us and tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace makes us a more relevant, more competitive, and more resilient company. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application and interview process, to perform essential job functions, and to receive other benefits and privileges of employment. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skillsets.
For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska. For candidates who will work remotely from Colorado, visit this link for information related to Colorado's Equal Pay for Equal Work Act.


Data Scientist Product Analytics

Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee – whether a team member of Etsy, Reverb, Depop, or Elo7 – you’ll tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.
Job Description
What’s the role?
Transform raw data into impactful analysis characterized by strong data governance/documentation, rigorous techniques, and actionable recommendations.
Partner with product, engineering, design teams; use behavioral and transactional data to shed light on our users and our product experience, identify areas for improvement, and drive decision-making.
Identify impactful metrics to understand the performance of products, develop reporting dashboards to track progress, and ingrain these metrics into teams’ day-to-day decision-making.
Lead experimentation, help teams set strong hypotheses, and deliver robust analysis of experiment results.
Continually evaluate and refine your technical toolkit; teach what you learn to the team.
This is a full-time position reporting to the Peter Goldberg. For this role, we are considering candidates based in the U.S. who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our flexible work options and vaccination policy here.
What's the team like at Etsy?
The role is a part of the Product Analytics team which is responsible for helping drive the success of product efforts at Etsy. We partner with cross-functional peers through all stages of development: identifying initial opportunities, refining the user experience, analyzing the impact of our efforts, and highlighting improvement areas. Ultimately, the team’s work strengthens Etsy and helps continuously improve the Etsy experience!This position supports Etsy’s International CX group. This is a group that focuses on growing Etsy in non-US markets.
What does the day-to-day look like?
Data scientists at Etsy use rigorous methods to generate insights that inform product, engineering, and business decisions across the company. We collaborate with partner teams through all stages of development: actively uncovering opportunity areas, crafting experiments to test hypotheses, analyzing the impact of our efforts, and highlighting takeaways.Learning new skills and techniques is not only a requirement but a perk of the job! We are always looking for opportunities to grow. Our mission is to guide our partner teams with data and insights and tell the story of how we attract and retain our users — to teams, to senior management, and to the community.In this role, you would partner closely with our International Experience team, whose focus is growing non-US markets.Lead all analytical aspects of the product lifecycle from sizing opportunities all the way through to measuring success via experimentation.Work closely and collaboratively with Product Managers in International CX to craft a well defined analytics roadmap.Define metrics to ensure robust measurement of product performance.Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualifications
Qualities that will help you thrive in this role are:
2-4 years experience in a data scientist or data analyst role in which you extracted meaning from big data sets with little engineering support.Understanding of the principles of A/B testing, and experience crafting and analyzing experiments.Proficiency in SQL and familiarity with either R or Python. Bonus points for experience with the Hadoop ecosystem or additional scripting languages (Scala, PHP, Ruby, etc.)Experience with Looker, Tableau, or other data visualization software is a plus.Desire to advance your technical skill set and to apply new methods to impactful questions.Ability to communicate your insights verbally, visually, and in writing, and care for the quality and integrity of your work.Ability to play a key role on a cross-functional team.Passion for subjects such as experimental design, data visualization, and statistical analysis techniques.
Additional Information
What's Next
If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.
For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska. For candidates who will work remotely from Colorado, visit this link for information related to Colorado's Equal Pay for Equal Work Act.


Manager Data Science

605 is an independent TV measurement and analytics firm that offers advertising and content measurement, full-funnel attribution, media planning, optimization and analytical solutions. Comprised of engineers, analysts, data scientists, media experts and marketing strategists, 605 forges new paths using groundbreaking innovations that set industry standards for audience targeting and measurement.We are looking for a dynamic Manager, Data Science to serve as a methodological and process thought leader, partially-hands-on coder and mentor to our talented team. Being able and excited to analyze large and messy data is part of the job, as is having the skills to flexibly manage and work on a variety of tasks to maintain team and project success. As a Data Science Manager you will be responsible for overall management of your team, talent development, project management, client communications, hands-on coding and cross team collaborationDay-to-day tasks include: Managing, mentoring and growing four direct reports as well as fostering growth of the entire Data Science team Working independently and collaboratively on large and complex data science problems and analyses  Applying or adapting methods to new problems, and developing new tools as needed Reviewing and writing code in R/Spark with a keen eye for identifying issues and areas for optimization Serving as a thought leader across methodology, process flow and technical requirements Setting standards for excellence across projects and deliverables Collaborating across teams to improve and productize processes Communicating with clients and vendors regarding needs, solutions and results Working with clients and the sales team to build new business opportunities  Bachelor's degree in a quantitative field 5+ years experience (or postgraduate degree plus 3+ years experience) in a comparable field 1+ years managing and mentoring analysts and data scientists to be successful across a variety of demands 3+ years of coding and specifically 2+ years in R/Python/Spark Excellent verbal and written communication skills; a proven ability to cultivate relationships within and across departments; the ability and desire to work well in a highly collaborative team environment; Proficiency with statistics and machine learning techniques and the ability to continually improve current methodologies and processes  Strong ability to communicate about data structure and characteristics, analytical techniques, statistical findings, and solutions to a variety of audiences using data visualization and reporting tools such as ggplot2, Shiny, etc. Understanding of machine learning and statistical concepts, including hypothesis testing, sampling, weighting, bias corrections, causal inference, and modeling techniques Excellent project management skills, prioritizing demands to meet overall objectives, improve efficiencies and finding stable threads to explore within amorphous and changing business problems Preferred Skills: PhD, ABD, Masters with experience in a comparable field Domain familiarity with the TV, media, and advertising landscape, media measurement, and the cross-platform / digital ecosystem  Experience adapting, implementing, and scaling various machine learning techniques into product Experience with Databricks (or other distributed computing environments) and familiarity with Spark SQL and Scala  Comprehensive medical, dental and vision insurance for employees and their families Company-paid life insurance, short and long term disability 401k with match Pre-tax flexible compensation plan for medical, transit, parking or dependent care expenses Generous vacation, personal and sick days Remote role with office space available on-demand in NYC, Pasadena, or Syosset 100% paid parental and family caregiving leave Educational reimbursement program A kitchen stocked with sodas, snacks, yogurt and other goodies A tight-knit startup community who likes to eat! We celebrate everyone’s birthdays, have frequent team lunches, and do events in and out of the office 605 is an active participant in conferences


Senior Data Scientist

605 is an independent TV measurement and analytics firm that offers advertising and content measurement, full-funnel attribution, media planning, optimization and analytical solutions. Comprised of engineers, analysts, data scientists, media experts and marketing strategists, 605 forges new paths using groundbreaking innovations that set industry standards for audience targeting and measurement.We are looking for a dynamic Senior Data Scientist to serve as a coding and methodological thought leader. Being able and excited to analyze large and messy data is part of the job, as is having the skills to flexibly work on a variety of tasks to maintain project success. As a Senior Data Analyst you will be responsible for improving methods and efficiencies across the team, project management, hands-on coding and cross team collaboration. A Senior Data Scientist’s day-to-day tasks would include: Working independently or collaboratively on large and complex data science problems and analyses Leading and mentoring fellow analysts and data scientists Communicating with clients to develop analytical solutions within client context Applying or adapting methods to new problems, and developing new tools as needed Collaborating with software engineers to implement methods into production Working with client/sales team to build new business opportunities   Master's degree in a quantitative field 7+ years experience (or postgraduate degree(s) plus experience) in a comparable field 4+ years of coding and specifically 2+ years in R/Python Able and excited to analyze large and messy data Strict integrity, able to work with confidential, private, and high-value client information Intellectual flexibility to adapt existing tools, algorithms, methods to new needs Can balance workload across a variety of different projects over the course of a week Find stable threads to explore within amorphous and changing business problems Proficiency with statistics and machine learning techniques and the ability to continually improve current methodologies and processes  Solid understanding of sampling, weighting, biased data, overfitting, ensemble methods, survey methodology, causal inference Strong ability to communicate about data structure and characteristics, analytical techniques, statistical findings, and solutions to a variety of audiences using data visualization and reporting tools such as ggplot2, matplotlib, Shiny, etc. Excellent written skills to translate results to a variety of technical and non-technical audiences through white papers; reports; and internal, external, and client-facing presentations Preferred Skills: PhD, ABD with experience in a comparable field Experience working in analytics in the entertainment industry or in television or digital marketing Experience designing and analyzing experiments Experience analyzing high-dimensional time series or event stream data Experience adapting, implementing, and scaling various machine learning techniques Experience with Databricks (or other distributed computing environments) and familiarity with Spark SQL and Scala  Comprehensive medical, dental and vision insurance for employees and their families Company-paid life insurance, short and long term disability 401k with match Pre-tax flexible compensation plan for medical, transit, parking or dependent care expenses Generous vacation, personal and sick days Remote role with office space available on demand in NYC, Pasadena, or Syosset 100% paid parental and family caregiving leave Educational reimbursement program A kitchen stocked with sodas, snacks, yogurt and other goodies A tight-knit startup community who likes to eat! We celebrate everyone’s birthdays, have frequent team lunches, and do events in and out of the office 605 is an active participant in conferences


Data Scientist

Token Metrics is searching for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

As a machine learning engineer, you should demonstrate solid data science knowledge and experience.

A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive models.

Responsibilities

Consulting with the manager to determine and refine machine learning objectives.
Designing machine learning systems and self-running artificial intelligence (AI) to automate predictive models.
Transforming data science prototypes and applying appropriate ML algorithms and tools.
Ensuring that algorithms generate accurate user recommendations.
Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
Developing ML algorithms to analyze huge volumes of historical data to make predictions.
Stress testing, performing statistical analysis, and interpreting test results for all market conditions.
Documenting machine learning processes.
Keeping abreast of developments in machine learning.

Requirements

Bachelor's degree in computer science, data science, mathematics, or a related field.
Master’s degree in computational linguistics, data science, data analytics, or similar will be advantageous.
At least two years' experience as a machine learning engineer.
Advanced proficiency with Python, Java, and R code.
Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
In-depth knowledge of mathematics, statistics, and algorithms.
Superb analytical and problem-solving abilities.
Great communication and collaboration skills.
Excellent time management and organizational abilities.

About Token Metrics

Token Metrics helps crypto investors build profitable portfolios using artificial intelligence based crypto indices, rankings, and price predictions.

Token Metrics has a diverse set of customers, from retail investors and traders to crypto fund managers, in more than 50 countries.


Senior Data Scientist

Why TrueAccord?

TrueAccord is a category-defining company. We combine machine learning with a human-based approach to transform debt resolution and to get people on the path towards financial health. Every year, more than 70 million Americans have negative experiences dealing with debt. We are changing this by providing a personalized digital experience that guides lenders and consumers through this challenging financial process.

With a world-class leadership team, passionate team members, and proprietary predictive models trained on years worth of transactional data, TrueAccord is well-positioned to deliver on a huge opportunity: helping millions of consumers to regain and keep their financial footing while lowering the cost of doing business for creditors across many industries.

The Opportunity:

TrueAccord is looking for a Senior Data Scientist to join its growing Data Science team.

The team is 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.

As a senior member of the team, you will have the opportunity to dive deep into our data in order to produce actionable insights, turning this research into machine learning models that elevate our automated debt collection strategy. You’ll explore both green field areas as well as optimize existing ones. You will be a key partner to product and engineering teams looking to identify and prioritize high value machine learning projects that positively impact the experience of both external and internal customers.

We’re looking for a driven, self-sufficient and seasoned data scientist who not only runs their own project from initial concept to production but also has a strong desire to mentor junior team members. Our ideal candidate will have a collaborative spirit with a passion for using data to create a positive customer experience.

What You’ll Do:

Perform self-directed fundamental research and analysis.
Develop and maintain machine learning algorithms.
Apply data and algorithmic thinking to address business and domain problems.
Work cross-functionally to identify high impact business needs and translate them into technical requirements.
Manipulate and curate data sets for analysis and model training.

What We’re Looking For:

Minimum 3 years of data science experience, with machine learning focus.
Hands on experience with machine learning tools, techniques, and frameworks (e.g. sklearn, Tensorflow, Keras, etc).
Strong foundational skills: Python, Pandas, SQL.
Advanced degree in statistics, applied mathematics, computer science or equivalent quantitative studies.
Ability and desire to mentor junior team members.
Drive to educate stakeholders in data science concepts and techniques.

You might also have:

Strong cross-functional communication skills with technical and non-technical partners.
Solid understanding of experiment design.
Experience with natural language processing techniques.
FinTech background

Benefits, Perks, and Culture

- Everything you need to work remotely
- Work with talented and motivated people in a fast-paced, mission-driven environment
- Medical/dental/vision insurance, 401k (with match), flex spending plan, and life insurance
- Family-friendly policies - parental leave, flexible work from home
- Unlimited PTO
- Transportation benefits
- 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

TrueAccord is an equal opportunity employer. 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.


Data Scientist

Zipline is 100% remote and accepts applicants from Canada, US & internationally.
Hi. We’re Zipline! We’re helping put technology into the hands of those that need it most - - retail workers. If you have worked in a store, you know the drill. You’re helping customers, ringing up orders, and trying to do the 30 tasks that HQ wants you to do. Some pertain to you. Some don’t. But that’s for you to figure out… all while putting out fires and keeping shelves tidy.
Are you looking for a career that allows you to work with the world’s best-known brands and Fortune 1,000 leaders? Are you looking to make a huge impact and prove the value of technology in transforming how companies operate?
You will have that, and much more, as a Data Scientist at Zipline!
We are looking for a business-minded data scientist to work with the marketing and customer success teams with high-impact, high-profile projects. For example, you will help to quantify the value of Zipline for our biggest customers and share your analysis and insights in business review meetings. You will also work side-by-side with our marketing strategist to uncover the insights that make it easy for our sales team to sell the value of Zipline through cold, hard data.
So, if you love solving analytical problems, using complex datasets, finding actionable insights, communicating the story within the data, and learning a lot, this role is for you!
There are many data scientist roles out there but at Zipline, your work will help improve the lives of retail associates. Retail is one of America's most populous workforces but also one of the most underserved. Through Zipline’s cutting-edge retail operations platform, we can touch one in four American workers and help them feel more connected to their brand’s mission, understand what’s expected of them, and be more successful in their jobs.
You will be part of a small group of data scientists, reporting to the product organization. In other words, you will have colleagues to learn from and grow with. Our ideal candidate is both a creative and quantitative thinker, familiar with the business side of SaaS companies but experienced in, yes, data science. We need somebody who has an infectious enthusiasm for finding answers in data.
Responsibilities:
Partner across the company (Product, Marketing, Customer Success, and Sales) to shape how we drive impact driven by dataIdentify and run the right analyses and methodologies to apply in different projects, analyze and challenge the results, and develop the insights and narratives that explain the business impact on our customers and ourselvesSynthesize and present complex information to technical and business stakeholders at various levels of the organizationHelp evangelize evidence-based decision makingDesign presentations and present complex data sets in a variety of visually compelling formats
Experience:
3+ years of experience in analytics and data science with a focus on driving business impact in technology, engineering, consulting or relative work experienceExperience across a broad set of statistical and machine learning methods to build descriptive and predictive modelsProficiency in data extraction and manipulation in data warehouse systems e.g. BigQuery using SQLProficiency in at least one programming language (e.g. Python, R)Proficiency in at least one analytics & visualization tool (e.g. Tableau)Excellent presentation skills and comfort in front of C-level executivesExperience collaborating with less technical colleagues, translating data-driven insights into decisions and actionsComfort operating in a fast-paced environmentOrganized and solution-oriented mindset with a can-do attitude to overcome challengesTeam player with solid interpersonal skills
Employee Benefits
Stock OptionsPaid Flexible and Sick Time Off (including time off to care for family members)Paid Parental LeaveGroup Health Insurance (Medical, Vision, and Dental) with a variety of PPO & HMO plans and a flexible spending account401(k) Retirement Plan100% Paid Life and Long-Term Disability Insurance
The “Extras”
Remote Work: Join a flexible, effective remote team and work where you’re comfortable- literally anywhere! We’ve had Zipliners join us from vans, RVs, sailboats, and AirBnBs around the globe.Computer accessories and office setup: There’s a science to being effective at home and we help you get there with the right equipment and accessories that you need.Company off-sites: Every year we come together (IRL!). Past retreats were held in Santa Cruz, New York, Mexico City, and Costa Rica.Education stipends: We believe in perpetual learning! If there’s a class that you want to take or a book that will help you expand your horizons, we’ll support it!Wellness allowance: To encourage breaks and a change of scenery, we provide a small stipend each month to get you out of the house and relax at your favorite coffee spot.
We value diversity of all kinds and are committed to building a diverse and inclusive workplace where we learn from each other. We are an equal opportunity employer and welcome people of all different backgrounds, experiences, abilities, and perspectives.
Want to learn more about us?
How do we work? Remotely. We have been 100% remote since the company was founded and we have it down to a science - - a people science. We huddle as a team weekly and as a company 3 times a week. On Fridays, we come together to learn from each other. One week it might be about opossum rescue. Another week it might be an update on our product roadmap or the results of our customer satisfaction survey. We are all masters of Zoom and love the freedom of working from home - - or vans - - or sailboats.
Sound too good to be true? We haven’t even gotten to our customers! Think about the best retail brands, from your favorite tennis shoes to yoga pants. They’re customers. And, in addition to dozens of specialty retailers, this year we added grocery store, pharmacy, and convenience store brands. In fact, we more than doubled our customers in 2020.
And, the word is getting out. We are featured regularly in the press, mostly because of the results we get from our customers. Here’s a look at just some of the articles published recently. We also picked up some awards in 2020. CBInsights ranked us one of the 100 most promising B2B retail tech companies in the world. And, our CEO was a TechTrailblazer finalist. (Check out her articles on Forbes to see her passion for retail and solving its biggest challenges.)
We have made incredible progress but changing the industry is hard. We are well funded by leading venture capital firms like Emergence Capital and ready to scale. We need your help to improve the way that this 4.4 trillion dollar industry communicates with its store employees. Cumbersome, slow, and inefficient systems should not be the status quo. Help us retool retail.