Sr Data Scientist Marketing Operations

Docker is a remote first company with employees across Europe and the Americas that simplifies the lives of developers who are making world-changing apps.  We raised our Series C funding in March 2022 for $105M at a $2.1B valuation. We continued to see exponential revenue growth last year.  Join us for a whale of a ride!
You will be part of a newly formed department, Marketing Operations. You will help create the necessary framework and tooling used by all marketing departments. You will liaise with product teams directly to build up the needed capabilities and influence their roadmaps. You will be at the core of enabling Product Marketing, Growth, DevRel, and Brand programs to succeed by providing tools and insights to make better data-driven decisions. You will create analyses and assessments which will support department leads to prioritize their investments and understand correlations between program outputs and top-line outcomes.
You’ll be successful in this role if you’re excited to shape your discipline, use cutting-edge technology, and are eager to help support multiple teams and individuals to create effective management systems. You’ll thrive if you see opportunities for improvement everywhere and want the space to push your discipline to its full potential.
Responsibilities:
Define the scope and build the analytics arm of Marketing OperationsUse sophisticated modeling techniques such as causal inference to undercover insights related to user behavior, interpret data across channels to provide quick turn-around insights to brand and content teamsBuild management systems, scorecards, and data-visualization based presentations that enable marketing leaders to make better decisionProvide projections and forecasting for platform, channel/content strategy and planningSolid understanding of source data, its strengths, weaknesses, semantics, and formats; solid knowledge of logical and physical data modeling concepts (relational and dimensional)
Qualifications:
Understanding of econometric modeling (like regression, linear, ridge) and how to apply models to measure marketing efficiency and optimize spend, to flight and mix to maximize return on ad spend (i.e., MMM)Strong knowledge of SQLDoing analysis using Python or R, expertise across digital research and analytics tools (Google, Omniture, Tubular, Comscore) Experience with at least 1 BI tool (Power BI, Tableau or Looker)Knowledge of git versioning and controlAdvanced experimentation experience, including multivariate and causal analysisStrong verbal and written English communication skills
What to expect in the first 30 days
Get to know the teams, products, and customersJoin a Docker meetup and get to know the community and user baseGet acquainted with the Docker culture centered around humility, developer obsession, open collaboration, and bias for considered action
What to expect in the first 90 days
Create a plan with department leads to build solid management systems and reporting for their programsDrive insights and uncover investment opportunities from currently available dataWork closely with different teams to influence decisions on infrastructure and represent marketing and its needs
What to expect in the first year
Support overall decision-making and have solid tools and models in place to enable big investment decisionsUse advanced ML techniques to understand user behavior and create user segments that will improve the understanding of current users' behaviorsSupport the cultural changes to become a data-driven organization by enabling a wide variety of stakeholders to understand and use data in their decision making
Perks:
Freedom & flexibility; fit your work around your lifeVariety of virtual and in-person social events to build connections and have funHome office setup; we want you comfortable while you workGenerous maternity and parental leaveTechnology stipend equivalent to $100 net/monthPTO plan that encourages you to take time to do the things you enjoyWhaleness Days: companywide day off each monthQuarterly, company-wide hackathonsTraining stipend for conferences, courses and classesStock Options; we are a growing start-up and want all employees to have a share in the success of the companyDocker SwagMedical benefits, retirement and holidays vary by country

Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our company will be.
CA/NY/Boulder, CO/Denver, CO $154,000 - $210,000
Colorado $144,000 - $197,000
*salary range can change depending on the level
Due to the remote nature of this role, we are unable to provide visa sponsorship.
#LI-REMOTE


Senior Data Scientist Iap Roas Pod

Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.

We’re looking for an exceptional Senior Data Scientist to join our IAP ROAS team, one of the most exciting and important products within Chartboost. The system powering this product must deal with 100,000’s of requests per second and presents unique data science challenges. The bidder uses a variety of batch and real-time signals to power decision making in real-time. Chartboost empowers developers to earn high CPMs while connecting marketers to highly engaged audiences through immersive ad experiences. The ROAS team will be in charge of designing and implementing solutions for maximizing the return on advertising spend (ROAS) for our customers.
Impact you will make:

Apply, develop, optimize, and benchmark ML approaches to push our AI-driven product forward

Conduct large scale A/B testing and offline/online experiments to evaluate performance of machine learning models
Analyze millions of structured and unstructured data points and identify meaningful signals to improve model performance
Develop features in Python, SQL and Scala to improve model performance

Who you are:

BS degree in Statistics, Math, Machine Learning or Computer Science
3-5 years of practical experience in data science or machine learning roles
Experience using SQL and distributed frameworks such as Spark for exploratory data analysis and data transformation
Exposure to different machine learning and modeling techniques, including deep learning and traditional modeling techniques
Experience in improving performance of queries and data jobs for model training
Experienced with Python and Scala
Hands-on experience in large scale production grade machine learning systems.
A willingness to branch out to learn new domains/ approaches and make progress independently.

The following experience would be a plus:

Ad tech and/or Mobile Game Industry

Perks:

Competitive salary with bonuses
Flexible schedule based on core hours and the possibility of working remotely
Private health insurance
Life insurance
Optical complement for glasses or contact lenses
Company sponsored lunch
English/Spanish lessons and/or other investments in your professional development
Gym membership
Transportation reimbursement
Healthy snacks, and coffee in our cool office in the center of Barcelona
23 days of paid time off per year
15 paid holidays per year
Team building events

More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind.  Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.


Senior Data Scientist Business Intelligence

Data is our most valuable asset at Spring Health. We’re continuing to grow our Business Intelligence (BI) team to ensure we can effectively use all of that data to eliminate every barrier to mental health more quickly and completely. In this role you will get to partner with two new product teams at Spring, helping them to build their approach to data largely from the ground up.
What you’ll be doing:

Act as a partner with internal teams to proactively translate their data questions into actionable dashboards that drive teams’ decisions and behavior
Develop a deep understanding of our products and operations, and how they tie into Spring Health’s business context
Contribute to the team’s overall Looker strategy, improving our design for how we organize the models and views of our data
Collaborate with the BI and data engineering teams to implement the Looker design we develop
Prioritize inbound requests from multiple teams, using business context and collaboration with stakeholders to determine the order in which to approach problems
Collaborate with teams to understand our business, help craft KPIs and then create reports to measure them

What we expect from you:

You are passionate about changing the face of mental health care and Spring Health’s mission to remove all barriers to mental health resonates with you
You have 5+ years of working experience working with data, data visualization, and dashboarding tools
You have strong user empathy - you can deeply understand the core issues stakeholders are having and translate them into solutions that meaningfully improve their ability to operate
You are an expert in SQL, and are willing to roll up your sleeves and dive into writing some modeling code in DBT when the data you need isn’t already available.
You’re comfortable using languages like R or Python to do more advanced data analysis
You have experience working with Looker or other similar data visualization tools (tableau, etc), both creating the data model and building dashboards
You focus on impact, finding the things you can deliver that deliver the most value for your stakeholders
You have exceptional communication skills, and are comfortable working independently with executive level team members
You are humble, highly motivated, and thrive in fast-paced environments
You have a proven ability to proactively manage your own priorities and dependencies in alignment with cross-functional dependencies and product/business impact
You have a passion for successfully navigating ambiguous problem areas and learning new approaches

What we'd love to see (Bonus):

You don’t take no for an answer, and enjoy finding work arounds for limitations in data to get stakeholders the answers they need
You have experience working with a cloud-based data warehouse to access data (Snowflake, Redshift, Big Table, etc)
You have experience using any of the following data: EMR, clinical trials, claims data
You have operated in a role that required interaction with customers

The target salary range for this position is $159,100 - $194,150, and is part of a competitive total rewards package including stock options, benefits, and incentive pay for eligible roles. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually at minimum to ensure competitive and fair pay.
Don’t meet every requirement? Studies have shown that women, communities of color and historically underrepresented talent are less likely to apply to jobs unless they meet every single qualification. At Spring Health we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we strongly encourage you to apply. You may be just the right candidate for this or other roles!
Ready to do the most impactful work of your life? Learn more about our values, how we work, and how hypergrowth meets impact at Spring Health: Our Values
Hypergrowth meets impact
What to expect working here:

You will be held accountable to an exceptionally high bar and impact
This may be the fastest work environment you will ever experience in terms of growth, decision-making, and time to impact
You will be challenged to set and protect your own boundaries
You will create processes & products that have never existed before
You will have very direct conversations and receive continuous feedback to push you to become the highest performer you can be
Change is a constant here: your role, team, responsibilities, and success metrics will shift as the company grows

And…

You get to be surrounded by some of the brightest minds in the field
You get to learn and grow at an extremely accelerated pace
You will experience transparency, integrity, &  humility from leadership
You will be empowered to constantly challenge the status quo
You get the space to experiment & innovate
You get to make a transformational impact for the company, mental health, and for real human lives — and you will see that impact quickly
You will become more resourceful and resilient
You get to be part of a winning team that opens doors in the future

Benefits provided by Spring Health:
Focus on total health including:

Generous medical, dental, vision coverage available day 1 + access to One Medical
20 total yearly no-cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents
Flexible paid time off in addition to 12 paid holidays throughout the year
$500 per year Wellness Reimbursement
Spring Health provides access to QuitGenius, a platform with technology-tailored, personalized addiction treatment plans for substance use (*QG is available to benefit-enrolled employees, spouses, and dependents age 18+)

Supporting you and your family:

4-4.5 months of fully paid parental leave
Spring Health provides team members and their families with sponsored access to Bright Horizons® child care, back-up care, and elder care.
Access to Joshin is provided by Spring Health. Joshin is a comprehensive support system for disabilities and neurodivergence in the workplace. This benefit supports employees, their families, and our teams through personalized navigation and disability education and training along with a network of screened in-home caregivers with disability and neurodivergent experience.

Supporting you financially through:

Our People team benchmarks all salaries using the Radford Global Compensation Database for technology and life sciences industries. Radford benchmarks salaries with 3,589 global firms, 6.5 million employees, and 98 countries across the globe. We do this to ensure all of our team members are paid equally and competitively.

On top of competitive and benchmarked salary, Spring Health offers incentive pay (based on role), and equity that begins vesting as we celebrate your first year with the company!
Employer sponsored 401(k) match of up to 2% after 90 days of employment

Creating a culture you can thrive in:

Flexible work arrangements: 60% of Spring Health team members work fully remote while 40% work in a hybrid model from our New York City offices
Calm Fridays: no meetings, no distractions, just time for you to get work done.
Up to $1,000 Professional Development Reimbursement per calendar year. Any requests over $250 must be requested for pre-approval prior to enrollment by sending an email to the People Team.
$200 per year donation matching to support your favorite causes


Vice President Of Machine Learning And Data Science

At Altana, we are bringing about a better globalization by facilitating visibility, decision support, and collaboration across global business networks.  We have built a fundamental understanding of how the world’s economy works by mapping how physical goods transit and transform as they flow through the world’s business networks.  These insights are based on our extensive proprietary data network across the world’s largest supply chain data corpuses, and using modern ML and data science to infer, analyze, and make sense of the physical world.  We are pushing the envelope to build a foundational AI for the world’s physical economy.
We are looking for a talented machine learning and data science leader to guide initiatives across the company.  As VP of Machine Learning and Data Science, you’ll be responsible for the approaches, culture, recruiting, leadership, and work product of several teams that are critical to Altana’s success.  You’ll oversee the machine learning and data science components of core product features such as entity resolution for our graph construction process, information retrieval for search, recommender systems for supplier identification and vetting, customs classification and prediction, graph analyses, and reinforcement learning across our user base that includes the world’s largest customs authorities, logistics providers, enterprises, and supply chain software application providers.  In this role you’ll report to the Chief Technical Officer and help create the culture and environment by which we use state of the art AI + ML.
Responsibilities

Manage a cross-functional team of talented Data Scientists, Analysts, and Machine Learning Engineers embedded in several product teams delivering core product features to users.
Direct client facing teams to ensure their data science customizations for clients are in line with long term product and ML vision (e.g. collecting right data to feedback into RLHF workflows, customizing appropriately for client specific needs, etc.).
Define Altana's data and machine learning technology standards, and oversee the training, mentorship, and performance of a world-class technology team.
Collaborate and build strong relationships with Product, Engineering, and Customer Solutions stakeholders to understand requirements and priorities.
Recruit, develop, and manage a world class team of machine learning practitioners
Contribute to a hiring process that attracts and retains world class technology talent who can push the envelope of natural language processing, machine learning, and network analysis.
Stay on the frontier of AI and machine learning research and industry developments through an active role in thought leadership, research initiatives, industry working groups, and academic relationships.

About You

Track record of success in demanding environments, especially with delivering ML enabled products and services in demanding and fast paced environments.
Deep conceptual insight into how to apply ML algorithms and distill problems down to their essence.
Strong product orientation and practical focus on delivering customer value and using techniques that deliver results; not getting stuck in academic beauty or theory.
A hands-on leader who leads from the front, and is willing to help the team deliver.
BS, MS, or PhD in Data Science, Computer Science, or related field.
10+ years of real-world professional experience building products based on Data Science & ML.
Strong working knowledge of Knowledge Graphs, Entity Resolution, Natural Language Processing, Deep Learning, Classification and inference techniques, RLHF, PPO, multi-modal learning.
Demonstrated experience leading a technical team and leveraging functional expertise to develop team members.
Strong sense of shared ownership and a collaborative disposition.
Strong written and verbal communication skills.

Nice to have, but not required

You've worked with supply chain data, company data, or have familiarity with B2B economic modeling
Multilingual skills

Technologies we love

Languages: Python, SQL
Tools: Tensorflow, XGBoost, Git, Kubernetes, Databricks, AWS, Azure
Datastores: Postgres, DataBricks, ArangoDB


Staff Ml Research Scientist

Role
****PLEASE NOTE WE ARE ONLY SEEKING CANDIDATES IN SPAIN OR COLOMBIA****
As a Staff Machine Learning Research Scientist within the Research & Impact team, you will lead foundational ML/AI efforts to deliver a consistent flow of high-quality, insightful research aimed at evidencing and optimizing impact of Crisis Text Line’s service and improving practice, policy and the broader field of mental health support in the US and globally.
You will use Natural Language Processing techniques and Machine Learning models to monitor emerging trends and identify novel signals in our conversations with people in pain so that we can generate near-real-time insights with a potential to improve the lives of people in crisis. As part of a small but nimble team working in collaboration with divisions across the organization, you will research a corpus of over 260 million text messages related to mental health crises to pursue impactful research questions, build ML models to identify new themes, deliver compelling data visualization and actionable insights to amplify Crisis Text Line’s impact for texters, volunteers, and society across languages, cultures, and contexts.
Reporting to the Senior Principal Research Scientist, you will research a unique dataset of more than 8 million crisis conversations since 2013. You will work in close collaboration with all members of the Research & Impact team, as well as with cross-functional partners in data analytics, clinical, volunteer experience, user research, engineering, and product teams. An individual contributor, you will work in close collaboration with all members of the Research & Impact team to ensure equity, diversity, inclusion, and intentional visibilization of multiple identities, especially historically minoritized groups, is an explicit focus for our work.
Responsibilities:
Crisis Text Line is a fast moving, growing organization with a big vision and a critical mission. To serve our mission and vision, each role must be agile and flexible to meet the needs of the business, aligning their work with priorities as defined by their manager and team leaders.
Lead Machine Learning to Deliver New Research Insights for Crisis Text Line

Surveil internal data in combination with external datasets in order to monitor and identify emerging issues and trends in our conversations with people in crisis
Design and evaluate ML/AI models and deploy NLP techniques to study topics like mental health stressors, risk, and coping strategies in Crisis Text Line data
Fully own model pipelines, from data collection and labeling, to deployment

Communicate Results & Support Data Storytelling

Communicate and share model performance and impact in a digestible way with the rest of the team and organization
Implement new data visualization techniques

Support efforts to communicate results for non-technical audiences, including ongoing management of organization-wide internal data insights and research requests as a member of the core workflow team

Lead ML/AI Documentation and Coding Practices on the Research and Impact Team

Implement industry standard documentation and coding protocols and practices on the Research and Impact team
Provide ML, NLP and coding expertise and core reviews across the Research and Impact portfolio, and corresponding mentorship of members of the team in their use of technological tools
Support the development or review of all external-facing content referencing Crisis Text Line data and insights, as appropriate

Functional/ Technical Skills
Qualifications:

6+ years of combined training and experience in computational social science, natural language processing, computer science, or related disciplines

Theoretical and practical understanding of ML/AI models both for structured and unstructured data
Proficiency in SQL and Python and the relevant ML libraries (Preferred: understanding of distributed computing frameworks e.g. Spark)
Ability to write clean and modular code and work with version control tools.
Strong understanding of NLP techniques (text parsing, lemmatization, tf-idf, topic modeling, etc.) and the associated ML/AI models
Skills in translating research results into non-technical insights for broad consumption

Salary Range: $126,000 - $178,000This range is provided by Crisis Text Line. Your actual pay will be based on your skills, experience, location, and applicable law (such as local minimum wage laws). We pay competitively in the tech-forward nonprofit space and offer a robust benefits package.


Senior Applied Scientist Ii Search Ranking

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?
We are looking for an experienced Applied Machine Learning Scientist in the Search Ranking team to help understand buyer shopping missions, personalize content, and rank the most relevant search results to our buyers on search pages. As an Applied Scientist, you will work closely with software engineers to build custom large-scale machine-learning models powered in production to deliver customer impact. We are individuals who are data driven, and are passionate about making ML innovations in areas such as: Ranking, Optimization, Natural Language Processing, Deep Learning, Reinforcement Learning to improve the Etsy search experience!
This is a full-time position working with the Engineering Manager, Search Ranking, and the base salary range will be $184,000 - $205,000 USD per year. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the US 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 this team like at Etsy?
Our team of applied scientists, ML engineers, data analysts, and product managers work as a multi-functional team in a primarily remote setting to build, improve and maintain online search ranking systems that can drive customer impact in Etsy.
Design, develop and maintain of large scale, performant machine learning systemsResearch and implement novel ML models to improve relevance and personalization in search resultsInfluence product roadmap using data backed analysisMentor junior scientists on the team
What does the day-to-day look like?
Find opportunities to improve our buyers’ search experience and propose a project plan backed up with data analysisScope data-driven projects and collaborate with internal & external teammates from Data, Modeling and ML Infrastructure.Iterate quickly to design, implement, optimize, and test new modeling improvements in both offline and production A/B experiment settings.Draw conclusions from experiment resultsLead high code quality and engineering standards in the team; Maintain and improve core ML pipelineOf 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:
You are a caring teammate who enjoys helping others. Your growth mindset means you find joy in continuous learning and self-improvement. You care about how ML impacts real people. It also helps if you have:
3+ years of experience in areas related to Search, Recommendation Systems, Personalization, and Applied ML.A previous track record of publications in one of the following fields: information retrieval, recommendation systems, knowledge graphs, natural language processing.Proficiency in writing high quality production code, demonstrating strong software engineering and coding skillsProficiency in neural ML frameworks such as Tensorflow, PyTorchExperience with web-scale data preprocessing and ML workflow such as Apache Spark, Beam, Kubeflow Pipelines etcExperience working with cloud computing services such as Google Cloud PlatformA product focus and passion for using machine learning to address real-world problems. Knowledge of various machine learning techniques and key parameters that affect their performanceStrong verbal and written communications skills and comfort working in a remote team with a strong Slack and Google Docs.Self-directed, flexible, and strong sense of ownership.
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.


Director I Data Science

Help shape the future of Data Science across Liberty!
As a scientific director in the Office of Data Science (ODS), you will work in a team of data science (DS) and machine learning (ML) experts to collaborate across the enterprise and solve Liberty’s most challenging data science problems.
The ODS was created to provide centralized support and expertise to DS teams across the global organization. Our projects focus on key areas of interest to multiple teams: bleeding edge research and experimentation in machine learning, computer vision, and natural language processing; common tool and platform development; establishing the standards of how to deliver and measure the quality of DS work; and leading experimentation and adoption of new tools and techniques.  We work on some of the most exciting projects across all of Liberty.  If you are the kind of DS that likes to ask, ‘how can we do better’ – and impact the entire culture at a Fortune 100 company – the ODS is the place for you!
As a centralized group, our project scope is vast. Possible projects include:
Design and fine tune language models (NLP/NLU) to understand and build predictions or summaries from customer calls, claim notes, web chats, medical records, and beyond
Detect property hazards from aerial imagery, damage from customer photos, find and read a number in a scanned document, etc., using computer vision (CV)
Collaborate with technology partners to adopt, design, build, and/or integrate MLOps tools for the organization, ensuring they support broad DS needs, and help other DS groups adopt modern MLOps practices
Explore the advantages and limitations of privacy-preserving ML and synthetic data, to accelerate experimentation and better protect our customers’ data
Engage in theoretical research in collaboration with top tier academic institution (link) to shape the future of AI
Responsibilities:
Setting the scientific strategy for many of our initiatives
Working cross-org (and cross-functionally) to implement and scale solutions from PoC to MVP and beyond, and explain and defend the strategies to business partners.
Applies broad knowledge of sophisticated Data Science techniques to manipulate large structured and unstructured data sets to generate insights to inform business decisions.
Drives innovation in the application and development of tools and practices.
Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
Responsible for larger components of highly complex projects.
Guides aspects of project design as a technical expert for the team.
Regularly engages with the data science community and leads cross functional working groups.
The actual internal level/grade for this role will depend on the candidate’s overall experience and skill level
Job Specifications:
Reference:  2023-54927
Category: Data Science
Primary Location: Remote
Additional Locations: Boston, MA; Seattle, WA;
Schedule: Full-Time
Salary: USD-$154,000.00-–-$216,000.00-/-Year
Education Level:
 Travel: As Needed


Senior Data Scientist Product

Ramp is building the next generation of finance tools—from corporate cards and expense management, to bill payments and accounting integrations—designed to save businesses time and money with every click. Over 12,000 customers cut their expenses by 3.5% per year and close their books 8x faster by switching to the Ramp platform.
Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment software in America and enables billions of dollars of purchases each year. Ramp continues to grow quickly, more than doubling its revenue run rate in the first half of 2022.
Valued at $8.1 billion, Ramp's investors include Founders Fund, Stripe, Citi, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures, General Catalyst, and Thrive Capital, as well as over 100 angel investors who were founders or executives of leading companies. The Ramp team comprises talented leaders from leading financial services and fintech companies—Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One—as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart. Ramp was named Fast Company’s most innovative finance company in 2022 and #5 on LinkedIn Top Startups 2022.
About the Role
We’re looking for someone to help lead the future of data science at Ramp. In this role, you will help define the product and operational roadmaps for how Ramp users onboard and activate. You will partner closely in Ramp’s development process through product ideation, experimental design, implementation, execution, and analysis. You will partner closely with Ramp’s operational teams to improve internal processes, build playbooks, and recommend actions. Ultimately, we will depend on you to improve the Ramp customer journey by leveraging your advanced analytics skills and business context, enabling us to get 1% better every day.
What You’ll Do

Develop Ramp’s product research and experimentation frameworks, from hypothesis development and experimental design to implementation and analysis
Contribute to Ramp’s product roadmap by working closely with stakeholders throughout the lifecycle of prioritization: from complex and nebulous business context, to well-defined objectives, to a roadmap of scoped opportunities for leveraging data science to drive business results
Leverage advanced statistical approaches to solve customer problems, and perform deep analysis against large and complex product data sets
Partner with cross-functional product, engineering, and design teams to influence decision making across Ramp
Contribute to the culture of Ramp’s data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way

What You Need

Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 5 years of industry experience as a Data Scientist
Strong python experience (numpy, pandas, sklearn, etc.) across exploratory data analysis, predictive modeling, and applications of ML techniques to business problems
Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery)
Proven leadership and a track record of shipping improvements with growth and product organizations
Strong perspective on the experimentation lifecycle (hypothesis generation, experimental design, implementation, analysis, A/B testing best practices)
Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions

Nice to Haves

Experience at a high-growth startup
Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Census or equivalents)
Familiarity with data orchestration platforms (Airflow, Dagster, Prefect)
Strong perspective on data science engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)

Compensation

The annual salary/OTE range for the target level for this role is $170,000-$200,000 + target equity + benefits (including medical, dental, vision, and 401(k)

Ramp Benefits (for U.S. based employees)

100% medical, dental & vision insurance coverage for you

Partially covered for your dependents
One Medical annual membership

401k (including employer match)

Please note only 401k contributions made while employed by Ramp are eligible for an employer match

Unlimited PTO
Fertility HRA Up to $5,000 per year
WFH stipend to support your home office needs
Wellness stipend
Parental Leave
Relocation support
Pet insurance


Senior Data Scientist Product Analytics

About the Role
As Senior Data Scientist, Product Analytics at Coalition you will be responsible for measuring, understanding, and helping optimize Coalition’s largest revenue channel. You will use analytics, experimentation, and modern statistical techniques to help us understand and improve our cyber insurance customer experience in order to grow our revenue in a safe and efficient manner. This role requires an ability to partner with our head of revenue and other key stakeholders to quickly identify emerging trends in our customer data and effectively communicate clear, actionable strategies across the company.
Responsibilities

Lead cross-functional projects using quantitative analysis and advanced data modeling to discover insights that will guide strategic operational decisions and uncover optimization opportunities.
Influence product leadership & make our operations more efficient with data-backed recommendations, tracking OKRs etc
Ability to understand, measure, and empathize with the customer’s end to end journey
Ability to use data to identify gaps/problems in our customer’s journey and propose potential solutions.
Lead the design and delivery of data models, reporting systems, data automation systems, dashboards and performance metrics that support key product decisions.
Ability to analyze disparate data sources and synthesize into a narrative of what is happening in the data
Training/mentorship of junior employees.
Contribute and grow the culture of data excellence on our team by bringing mature empathy, best practices, and processes to our organization.

Skills and Qualifications

A Bachelor's degree in Statistics, Economics, Mathematics or related technical field
5+ years of experience in related analytical, data science or consulting background
Demonstrated experience influencing partners in product, operations etc
Expert SQL proficiency with proven competencies in designing well-architected data models, optimizing for query performance, and clearly documenting code
Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
Work in Tableau, Looker, or similar visualization / business intelligence platform
Experience with DBT, Airflow or similar analytics workflow tools a big plus
Strong communication skills and ability to convey complex topics to non-technical audiences
Passion, drive, and a deep sense of responsibility. We build the systems that keep us and our customers safe!

Bonus Points

Experience with operational tools and business systems such as Amplitude, Google Analytics, Marketo, Salesforce, Segment, or Zuora a big plus
Experience as a Programmer - Python, R, Perl, Java, and/or C++

Perks

100% medical, dental and vision coverage
Flexible PTO policy
Annual home office stipend and WeWork access
Mental & physical health wellness programs (One Medical, Headspace, Gympass, and more)!
Competitive compensation and opportunity for advancement
Coalition’s individual pay is determined on several factors, including but not limited to, location, level, skills and experience. The US base salary range for this full-time position is $125,000 - $205,000, and your recruiter can share more on target salary for your location during the interview process.

#LI-Remote


Senior Research Data Scientist

About the role
As Senior Research Data Scientist at Coalition you will be responsible for measuring, understanding, and helping optimize Coalition’s usage of data for cyberinsurance. You will use analytics, experimentation, and modern statistical techniques to help us understand and improve our cyber risk selection and reduction, pricing and automation in order to grow our revenue in a safe and efficient manner.
Responsibilities

Lead cross-functional projects using quantitative analysis and advanced data modeling to discover insights that will guide strategic operational decisions and uncover optimization opportunities
Analysis of large scale data for creation of risk signals to be used for insurance pricing and risk selection
Lead the design and delivery of data models, reporting systems, data automation systems, dashboards and performance metrics that support key product decisions
Ability to analyze disparate data sources and synthesize into a narrative of what is happening in the data
Training/mentorship of junior employees
Contribute and grow the culture of data excellence on our team by bringing mature empathy, best practices, and processes to our organization

About You

A Bachelor's degree in Statistics, Economics, Mathematics or related technical field
5+ years of experience in related analytical, data science or consulting background

Understanding of and experience with experimental design and statistical methods
Experience working with data in Python, R and similar tools
Strong communication skills and ability to convey complex topics to non-technical audiences
Passion, drive, and a deep sense of responsibility. We build the systems that keep us and our customers safe!

Bonus Points

Experience with cybersecurity data
Exposure to causal inference, and other advanced statistical methods to measure impact of initiatives

Perks

100% medical, dental and vision coverage

Flexible PTO policy

Annual home office stipend and WeWork access

Mental & physical health wellness programs (One Medical, Headspace, Gympass, and more)!

Competitive compensation and opportunity for advancement


Principal Data Scientist

About the role
We are looking for a Principal Data Scientist who is a creative, but pragmatic, problem-solver. Reporting into VP Engineering you will be the most senior Data Scientist on the team. You’ll spend most of your time working autonomously or within a small team, building, improving, and running our models. You will work closely with the CTO setting, planning, and executing the long-term vision for our ML platform.
This is a hands-on role that will involve exploring satellite imagery sets and other geographical datasets; using machine learning to analyze the images; and working with the teams to deliver the results to our customers. We have models and pipelines at various stages of maturity and we would expect you to use and apply the results of the stable ones and help us improve and validate the ones still in early development. You will work with the team to implement new ML techniques, models, and algorithms that bring step changes to our analyses.
Big part of the role is using the outputs of our analyses to solve customer needs. You will work closely with our Customer Success team to understand the customers’ problems and then work with other Data Scientists and the rest of the tech team to come up with solutions to those problems. You will help us adapt our models to different customer needs, but also environmental and vegetative factors.
On a typical day you could be: running inference on satellite imagery, checking the quality of the output, tweaking the input parameters, and retraining the model with new labels; writing Python code to process and analyze GIS data; researching and incorporating new datasets into your project and sharing findings with the team; reading about the latest Deep Learning techniques and applying them to our datasets.
You will have responsibility for your own projects, and we’ll expect you to take initiative to help us improve overall. Whether the work is about forest damage detection, tree species identification or biodiversity monitoring, you are up for the challenge!
About you

You are creative and curious.
You are pragmatic, you know when a simple solution is sufficient or when new model development is required.
You are a strong communicator, able to express your ideas succinctly. You make complex ideas accessible to others.
You have an eye for quality, your work is thorough, and you pay attention to both the small details and the larger picture.
Teamwork is at your core, and you like to help others grow and succeed.

Requirements

You have at least 8 years of commercial experience as a Data Scientist or Machine Learning Engineer.
You have spent at least 3 years working in a startup environment (preferably early stage).
You have advanced Python experience (including PyTorch and/or Tensorflow).
Experience working with GIS systems and processing GIS data.
Experience processing satellite data and/or imagery.


Machine Learning Research Team Lead

About the role 🎉
We’re looking for a Research Team Lead to lead a group of Runway's Applied ML Research team. This person will be leading and driving the executions for new applied research projects. This person should have a strong research background in computer vision, and be deeply interested in managing and enabling other researchers to develop state-of-the-art research.
This is a cross-functional role that requires strong communication and collaboration skills; you will have a chance to work with the rest of the engineering organization to oversee the transition from research into production, as well as with the Product team to initiate and work on projects that deliver clear user value.
What you’ll do 🎨

Lead and grow a group of Runway’s applied machine learning research team
Coordinate with the product team and the rest of the engineering team to define goals for your team that are aligned with overall company initiatives
Write tooling and prototypes to unblock and increase the productivity of other researchers
Work with a world-class engineering & research team pushing the boundaries of content creation on the browser

What you’ll need 💻

4+ years of industry experience as a research scientist in computer vision
High emotional intelligence and experience mentoring other researchers
Good understanding of how to communicate goals, drive the execution of projects, and inspire through others
Experience in translating product and business objectives into technical strategies
Deep interest in productionizing state of the art ML research

Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
Salary range: $190,000-$230,000


Data Scientist

What You'll Do:

Identify and scope product challenges that are ripe for data science and machine learning solutions - transaction understanding and categorization, merchant classification.
Work cross-functionally to collect data, develop and train machine learning models, and integrate those models into realtime and offline production systems.
Build the infrastructure that allows us to scale by optimizing data science workflows and ensuring data quality standards.

Who You Are:

5+ years of industry experience in relevant roles such as data scientist, machine learning engineer, or software engineer.
You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
Prior experience building production software systems, especially realtime machine learning systems.
Prior experience building machine learning solutions for payment and receipt processing automations

Our Technologies:
These are some of the technologies we use today. You don’t need to be familiar with all of these—many people on our team learned them with us. During our interview process, you’re welcome to use any language you’re most comfortable with.

Golang
Python
Google Cloud Platform (GCP)
Amazon Web Services (AWS)
Kubernetes
Protobuf / gRPC
ElasticSearch

What We Offer:

Competitive salary and equity
Remote first, with an office in NYC as an option to come in
100% paid medical for you and 80% for your dependents, 100% covered dental and vision through Level for you and your dependents
Flexible paid time off: take the time you need when you need it! Plus, get up to 10 days of paid sick leave per year
Fully paid parental leave: up to 14 weeks for primary and 8 weeks for secondary caregivers
Food, wellness, and office funds via our own Level product
Quarterly company sponsored events
Internal learning and development programs
Have the chance to work at a leading innovator and trailblazer in the world of benefits and payments

This position has a minimum base salary of $170,000 and a midpoint base salary of $185,000. The base pay may vary depending on job-related knowledge, skills, and experience. In addition to a competitive base salary this position is also eligible for equity awards.


Staff Data Scientist Ads Measurement Ml

Our mission is to bring community and belonging to everyone in the world. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, there’s a community for everybody on Reddit. For more information, visit redditinc.com.
We are looking for a Senior Machine Learning Data Scientist to work with our Ads Measurement product team. You will partner closely with a cross-functional team of Engineers, Product Managers, Designers, etc. 1) to build ad measurement solutions so that advertisers can measure and optimize their Return on Ad Spend (ROAS), and 2) to shape the product roadmap and strategy. In addition to a solid technical background, you will have strong business acumen, and excellent cross-functional stakeholders management skills.
Advertising is Reddit’s primary business model and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities that drive action. This large number of self-governed communities have highly-engaged users who are in an unduplicated mindset of consuming relevant information. This has created the opportunity for Reddit to build a massive and highly differentiated ads business.
We have spent the past few years building the foundations of a modern ad serving system, building features to help brand and performance advertisers find their audiences on Reddit and get high ROI on their ad spend. We’re now ready to build differentiated products on top of those foundations, utilizing data to drive the product decisions for both short term and long term bets.
As a Machine Learning Data Scientist on the Ads Data team, you’ll be a key player in ensuring we design the right mechanisms to adapt to a changing privacy landscape, play with the large datasets from one of the largest websites, and help define the culture and frameworks for future team members. Reddit sits in a unique place, where there are still a lot of low hanging fruit opportunities that will immediately impact millions of users and thousands of advertisers.
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:

Build machine learning models to improve ML focused Ads Measurement products such as Modeled Conversions, and Identity Resolution.
You will design metrics and mechanisms to understand and evaluate the performance of various Measurement products.
Be involved in all phases of modeling such as ideation, offline modeling, online implementation, experimentation, deploy and post-launch monitoring/measurements.
This role will have a lot of overlap with other Machine Learning Engineer roles, but will differ in a couple of areas. First is that you will work mainly on offline modeling and rely on engineers to productionize your models. Secondly, you will have a keen interest in the collection and quality of underlying data (experiment design and analysis, product/feature analyses and data deep dives), along with working on ETLs and data aggregations needed for training, testing and productionizing models.
Serve as a thought-partner for Product Managers, Engineers, and Leadership in shaping the monetization roadmap and strategy for Reddit by identifying opportunities through deep-dive analyses and/or modeling.
Be an integral part of the Data Org, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts.

Required Qualifications:

Relevant experiences in the Ads domain or marketing attribution
Ph.D., M.S. or Bachelors degree in Statistics, Machine Learning, Computer Science,, or other quantitative fields (If M.S. degree, a minimum of 1+ years of industry data science experience required and if Bachelor’s degree, a minimum of 2+ years of industry data science experience)
Proficiency in at least one of the areas: conversion modeling, clustering algorithms, large scale unsupervised learning
Experience with online experimentation and causal inference
Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit
Strong ability to communicate and discuss complex topics with technical & non-technical audiences
Strong analytical and communication skills
Strong skills in programming (Python or R) and SQL

Benefits:

Comprehensive Health benefits
401k Matching
Workspace benefits for your home office
Personal & Professional development funds
Family Planning Support
Flexible Vacation & Reddit Global Days Off
4+ months paid Parental Leave
Paid Volunteer time off

Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
 The base pay range for this position is: $198,200 - $297,300.
#LI-Remote


Data Scientist Marketing Intern

About Us:
Live experiences help people cross today’s digital divide and focus on what truly connects us – the here, the new, this once-in-a-lifetime moment that’s bringing us together. To fulfill Gametime’s mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.

With platforms on iOS, Android, mobile web and desktop supporting more than 25,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.

Position:
We are looking for an organized, data-driven, and curious team player to work cross-functionally across the data and marketing teams. As a Data Scientist Intern, you will support and inform various functions to solve business-critical issues, specifically related to our Marketing and Growth efforts. The ideal candidate will be able to thrive in a fast-paced environment and will be able to adapt to changes within the business and the industry.

What you'll dod / own:

Identify marketing analytical needs, build/execute analytics, and report findings to functional partners across marketing (PR, CRM, Product Marketing, Performance/Acquisition, etc.)
Provide insight into critical business decisions, working closely with the marketing team to answer pressing issuesLeverage analytics and quantitative methods to inform and influence decision-making
Influence and build relationships with people across all levels of the organization, internally and externally

A little more about you:

Entering your junior year of undergraduate studies or in a masters or PHD program
Proficient in SQLExperience with A/B testing a plus
Basic knowledge of the types of marketing campaigns and channels
Ability to identify, analyze, and provide recommendations to complex business decisions
Solid understanding of statistical analysis and experimentation, and capacity to drive conclusions from the analysis
Ability to work across disparate data sources to obtain sensible results
Strong collaboration and communication skills
Strong problem-solving skills
Some experience with Python or R
Experience with a data visualization software

$25 - $35 an hour
At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget.

Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.


Senior Data Scientist Data Products

Ramp is building the next generation of finance tools—from corporate cards and expense management, to bill payments and accounting integrations—designed to save businesses time and money with every click. Over 12,000 customers cut their expenses by 3.5% per year and close their books 8x faster by switching to the Ramp platform.
Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment software in America and enables billions of dollars of purchases each year. Ramp continues to grow quickly, more than doubling its revenue run rate in the first half of 2022.
Valued at $8.1 billion, Ramp's investors include Founders Fund, Stripe, Citi, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures, General Catalyst, and Thrive Capital, as well as over 100 angel investors who were founders or executives of leading companies. The Ramp team comprises talented leaders from leading financial services and fintech companies—Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One—as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart. Ramp was named Fast Company’s most innovative finance company in 2022 and #5 on LinkedIn Top Startups 2022.
About the Role
We believe that data science & machine learning are fundamental to building the finance automation platform of the future. We are looking for someone to lead the design and build of algorithmic services used in our core product.
Some early opportunities include:

Matching receipts to transactions so no one ever has to fill out an expense report again
Predicting if a transaction is part of a trip to ensure spend is within policy
Recommending suggestions to automate user experiences across the platform

You’ll be responsible for end-to-end development of machine learning products—this includes building training and evaluation workflows, owning deployed services and contributing to the design of products that rely on those models. You will need to have a head for strategy & cross-functional collaboration and thrive partnering closely with engineering & product teams to prioritize, execute, and drive results. You will also partner closely with the rest of the data org to design, implement, and maintain data science services in production.
What You’ll Do

Design, implement, and monitor machine learning systems enabling automation and delight to save customers time and money throughout Ramp’s product
Full stack data science development: from upstream data modeling and cleaning to research and prototyping to designing experiments to deploying, monitoring and iterating on models in production
Contribute to the company roadmap by working closely with stakeholders throughout the lifecycle of prioritization: from complex and nebulous business context, to well-defined objectives, to a roadmap of scoped opportunities for leveraging data science to drive results
Manage the upstream and downstream relationships and SLAs with frequent data science collaborators: analytics engineering, data platform and core engineering, as well as third party vendors and software providers
Lead solutions on challenging data science problems around unstructured data, labeling & annotations, and human-in-the-loop systems & processes

What You Need

Bachelor’s degree or above in a quantitative field with a minimum of 3 years of industry experience as a Data Scientist, Research Scientist, Machine Learning Engineer, or equivalent
Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery), experience working with large datasets in Python
Ability to build standalone data science products/services and to work cross-functionally to deploy and monitor in production
Desire to collaborate with stakeholders to design and integrate data into Ramp’s product
Experience with designing and building realtime ML systems in production applications and at scale
Ability to thrive in a fast-paced environment with a desire to constantly improve that focuses on solving problems with iterative technical solutions

Nice to Haves

Experience with information retrieval, recommender systems or generative models
Strong perspective on data science development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
Familiarity with MLOps/infra required to support data science product solutions, experience with orchestrators and artifact management - i.e. Metaflow, MLflow or equivalent
Familiarity with data orchestration platforms (Airflow, Dagster, Prefect)

Compensation

The annual salary/OTE range for the target level for this role is $170,000-$200,000 + target equity + benefits (including medical, dental, vision, and 401(k)

Ramp Benefits (for U.S. based employees)

100% medical, dental & vision insurance coverage for you

Partially covered for your dependents
One Medical annual membership

401k (including employer match)

Please note only 401k contributions made while employed by Ramp are eligible for an employer match

Unlimited PTO
Fertility HRA Up to $5,000 per year
WFH stipend to support your home office needs
Wellness stipend
Parental Leave
Relocation support
Pet insurance


Senior Data Scientist Marketplace

About Veho

Veho's mission is to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.

For too long, parcel delivery companies have focused solely on efficiencies and cost-management. Veho focuses on the end-customer. As the first technology company of its kind, Veho replaces the old delivery trucks with a platform of crowdsourced drivers and a network of hyper-local delivery stations. We partner with some of the most recognized consumer brands such as Warby Parker and Hello Fresh to provide an incredible experience with every delivery, and give customers control on how, when and where their package is delivered.

Customers LOVE us. Despite growing at a record-speed over the past two years, we maintain an incredibly high customer satisfaction rating of 4.9/5 stars, and an unprecedented on-time delivery rate of 99.9% - far above every other company in the country.

In short, we are building the logistics platform of the future.

Veho is backed by former top executives and board members at Uber, FedEx, UPS, eBay and Amazon, three former public company CEOs, early investors in Lyft and Instacart, as well as prominent venture capital firms General Catalyst, Tiger Global, and Softbank. We are a team of leaders who are passionate about building an incredible company that will change the face of this industry.

As a Senior Data Scientist, you’ll be directly embedded in a team of talented software engineers to help define, build, and operate sophisticated models to answer hard questions centered around improving our logistics network and user experiences.  You’ll partner with product managers to understand high-value business problems, build systems that inform daily operations, and work with cutting edge technology.  You’ll work closely with software engineers to operationalize the models you build in the production systems that drive Veho. Your work in forecasting and route optimization will have broad organizational impact.

You're responsible for:

Understanding business context and gathering requirements
Building and iterating on models to meet requirements using Python
Building and iterating on data pipelines to feed analysis and productionized models
Integrating models into production systems using MLOps best practices
Ensuring data quality and data integrity through best practices in data integration
Analyzing impact and effectiveness of models in production systems

You bring:

Bachelor’s Degree plus at least 3 years of experience in data science or data engineering
Experience using statistical modeling or machine learning techniques to solve business problems
Strong SQL and Python skills
At least 3 years of experience with open source languages and tooling used for large-scale data analytics like Python, numpy, and/or distributed data processing systems like spark
At least 1 year of experience with analytical relational databases like Redshift, BigQuery, or Snowflake
At least 1 year of experience working with cloud-based data engineering and data science tools.
Experience with mlops is nice to have, but not required
Experience with vehicle routing problems or logistics is nice to have, but not required

$150,000 - $170,000 a year
The actual salary is dependent upon many factors, such as: education, experience, and skills. The pay range is subject to the discretion of the Company.

Veho is a growth company that looks for team members to grow with it. Veho offers a generous ownership package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Veho employee shares one galvanizing mission:  to revolutionize the world of package delivery by creating exceptional experiences for customers and drivers.  We are deeply value-driven (Ownership, Candor, Team Success, Human) and care tremendously about investing in people.  We are committed to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime. Veho is unable to provide sponsorship at this time.

Veho is committed to nurturing, cultivating and preserving a diverse and inclusive work environment. Empathy and respect for each other is core to our values and a central part of working here every day. The diversity of our employees, drivers and applicants is welcomed and encouraged.


Data Scientist

Meet Zartico, the world’s first Destination Operating System.
Zartico’s mission is to empower DMOs to be better stewards of the world’s tourist  destinations through improved data intelligence and decision-making. Makers of the  first Destination Operating System, Zartico harnesses and streamlines complex data  to provide a full-spectrum of data science, benchmarking and analytical services for  use in marketing, community development and sustainability efforts. Based in Salt  Lake City, Utah, Zartico has over thirty years of experience in technology, tourism, and  destination, travel and tourism marketing.
Zartico is looking to add a Data Scientist to the team. In this role, you will be  designing and developing new tools, architecture, and models to flexibly extract  actionable information from large, complex data sets. To be successful in this role,  you will need a strong background in mathematical and statistical reasoning,  comfortability programming (SQL and Python required), experience designing,  evaluating and testing models with/on complex data sets, and an ability to problem  solve effectively in ambiguous settings.
What You’ll Do:
Develop and deploy new methods to clean, evaluate, and aggregate large,  complex data sets in a flexible, modularized way.Routinely engage in best-practices of documentation.Develop new models for forecasting, anomaly detection, and classification  problems with large data sets. Help translate new software product features into clearly defined data science  problems well-suited to the specific limitations of the raw data and the  technical infrastructure. Work closely with various departments to test and implement data science  models and tools at-scale.
What you’ll bring:
5+ years of experience in data science, statistics, mathematical modeling,  and/or machine learning (postgraduate research may count towards this  experience depending on relevance).  Proficiency in SQL and Python, and general programming mastery. Comprehensive understanding of basic statistical and/or machine learning  models. A successful history of manipulating, processing and extracting value from  large disconnected datasets. Self-directed and adaptable, with excellent problem-solving skills. The capacity to communicate one’s technical work on multiple levels,  including to non-technical audiences. Experience creating detailed documentation around one’s models and/or  code. Experience creating customized mathematical models and algorithms from  scratch. Deep knowledge of fundamental principles of machine learning.
Education and Certifications:
PhD in a quantitative field, with a preference for Mathematics, Astrophysics  and Physics (strong mathematical focus required)
Why Zartico?
We believe in a growth mindset. We are a learning organization. We emphasize focus because we know that to achieve big dreams, you have  to execute and get the small stuff right. We lead with inclusion and value diversity. We believe in diversity of thought,  perspective, and experience. Diversity of experience and perspectives creates  a more robust product and more beautiful world. We dream in color and code. We hustle. We are humble and know that the sum of our parts is greater than any one of  us as individuals. Above all else, we do the right thing. We believe in transparency, honesty and  integrity.
We believe travel and tourism is a force for good because it builds connection,  understanding, and appreciation of our world’s cultures, history and natural  resources. We believe data and the right metrics allow us to make better decisions  because transparent data helps focus on the right issues, problems and therefore,  solutions, to be better stewards of our world's most precious destinations.

We’re building a global community—one that’s safe for people of all backgrounds.  We are an equal opportunity employer where our diversity and inclusion are central  pillars to our company strategy. We look for applicants who understand, embrace  and thrive in a multicultural and increasingly globalized world. We do not  discriminate on the basis of race, religion, color, national origin, gender, sexual  orientation, age, marital status, veteran status, or disability status. When you join our  team, you join the Zartico family.


Modeling And Machine Learning Scientist Lead Model Risk And Governance

Why USAA?
Let’s do something that really matters.
At USAA, we have an important mission: facilitating the financial security of millions of U.S. military members and their families. Not all of our employees served in our nation’s military, but we all share in the mission to give back to those who did. We’re working as one to build a great experience and make a real impact for our members.
We believe in our core values of honesty, integrity, loyalty and service. They’re what guides everything we do – from how we treat our members to how we treat each other. Come be a part of what makes us so special!
We are seeking a dedicated Modeling and Machine Learning Analyst Lead for our following office locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Tampa, FL, Colorado Springs, CO, Charlotte, NC or work remotely in the continental U.S. with occasional business travel.
The Opportunity
What you'll do:
The Model Risk and Governance Lead will play a central role in creating and maintaining the USAA Bank Risk Governance framework for models consistent with business and regulatory requirements. Assist the Bank Model Governance Committee in meeting model risk oversight requirements. Collaborate with senior management and colleagues in business and staff functions, independent risk management, legal and compliance in leading the annual process to revise model risk policies, procedures, and standards. Perform subject matter authority reviews of models to ensure they meet model risk management requirements. Handle monitoring of model risk policy requirements and related metrics and escalate breaches. Design and deliver training to partners on policies, procedures, standards, and systems.
Leads the development, review, and / or implementation of entire model lifecycle. Leverages advanced modeling and machine learning techniques to solve important business problems. Communicates insights and business impact of model-based solutions to partners. Keeps models well managed and aligned with USAA model risk policy and regulatory expectations. Builds tools or capabilities for the future by researching powerful new data sources, latest algorithms or standard processes in model risk.
Identifies and leads existing and emerging risks that stem from business activities and the job role.Ensures risks associated with business activities are effectively identified, measured, supervised, and controlled.Follows written risk and compliance policies, standards, and procedures for business activities.Leads development and/ or review of entire lifecycle of the modeling and machine learning project, leads projects, serves as a subject matter authority, and as a mentor to others.Partners with business leaders to identify needs for model-based solutions, assists in developing business requirements for model development and measures for success.Communicates modeling insights to technical and non-technical audiences and senior partners across the organization.Uses modeling and machine techniques such as linear and logistic regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and other clustering methods, various simulation methods, or other advanced techniques to solve important business problems.Partners with business and data teams to conceptualize, obtain and / or review powerful and high-quality data features for modeling and machine learning.Demonstrates broad technology stack that includes Python, R, or SAS to develop or evaluate modeling or machine learning solution.Builds for future by conducting research on latest machine learning techniques, large-scale computing, automation or standard processes in model risk. Educates modeling and data science community across organization on findings.Mentors and provides consultation to team members and peers. Leads and guides team members in model data, model development, techniques, and methods. Coaches and shares findings on machine learning and application to enterprise models.Maintains, builds, or reviews automation tools and repeatable code base, crafted to promote reproducible research, and to reduce operational risks and costs to the organization.Builds or reviews model-based solutions and accompanying technical documentation consistent with regulatory requirements, working with other lines of defense as needed.Leads and/or reviews development and automation of performance supervising tools to maintain modeling and machine learning solutions.
What you have:
Bachelor's degree in a quantitative field, such as Mathematics, Statistics, Data Science, Computer Science, or a related quantitative STEM field (Science, Technology, Engineering, and Math). Four additional years of related quantitative subject area experience beyond the minimum required may be substituted in lieu of a bachelor's degree.8 years in predictive modeling, model governance, machine learning or large data analysis. OR Advanced Degree (e.g., Master’s, PhD) in quantitative field, such as Mathematics, Statistics, Data Science, Computer Science, OR a Related quantitative STEM field (Science, Technology, Engineering, and Math) and 6 years of related work experience in predictive modeling, model governance, machine learning or large data analysis.Expert in developing or reviewing modeling solutions based on broad range of modeling and machine learning techniques – e.g., linear and logistic regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and other clustering methods, simulation methods, or other advanced techniques.Demonstrated ability to apply standard processes in using modeling and machine learning techniques to proactively identify and solve business problems.Expert in developing or reviewing modeling solutions based on Python, R, SAS or other technology stack.Proven ability to write and edit complex technical documentation, communicate modeling insights and technical details to business leaders, technical and non-technical audiences.
What sets you apart:
The ideal candidate will have a validated ability to build and maintain a control, governance, or oversight framework and ability to gain consensus by resolving input from diverse partnersStrong understanding of Bank regulatory requirements for modeling and model risk management lifecycle and processesExperience analyzing complex quantitative models and the risks and controls around their usage, including artificial intelligence and machine learning modelsAbility to clearly communicate and present ideas and concepts with senior leadership and other partnersStrong critical thinking and problem-solving skills
The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.
What we offer:
Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. The salary range for this position is: $ 115,240.00 - $ 220,270.00.
Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.
Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.
For more details on our outstanding benefits, please visit our benefits page on USAAjobs.com.
Relocation assistance is not available for this position.
USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


Data Scientist

The Patrick J. McGovern Foundation (PJMF) is a private foundation dedicated to advancing artificial intelligence and data science solutions to create a thriving, equitable, and sustainable future for all. PJMF works in partnership with public, private and social institutions to drive progress on our most pressing challenges, including digital health, climate change, broad digital access, and data maturity in the social sector.

For more information, please visit our website at https://www.mcgovern.org/. Core to PJMF’s mission is inclusion, diversity, equity, and accessibility (IDEA). We apply the IDEA framework to all we do, from growing a diverse team within the foundation to coalition building with organizations and people around the world, and to democratizing the development and rewards of AI and data.

The Patrick J McGovern Foundation (PJMF) is seeking an experienced, multi-faceted and self-driven Data Scientist. This role sits within the Data Solutions team and will be directly engaged with the development, deployment and maintenance of AI products that will drive positive social impact around the world. The charter of the Data Solutions team is to identify, develop and deploy strategic data and AI solutions, focused on unlocking opportunities and addressing broad challenges the social good sector is facing now, and in the near future. The Data Scientist is responsible for training, validating, and deploying AI models using a rapid prototyping methodology. We are a small, high performance team and in many ways function as a startup. As such, the ideal candidate will be someone who can also manage some elements of the data engineering and MLOps roles that you would typically find in larger teams.

How you will make an impact:

Work closely with the Technical Product Manager, along with partners and end-users, to understand their challenges in order to build an effective and safe AI product
Identify, ingest, preprocess and clean the appropriate datasets needed for model training
Training, validation, and deployment of a model that addresses a specific social sector challenge
Monitor and maintain model performance, scalability and security
Seek out potential harm the data and AI product can cause (training/prediction bias, privacy violations, grossly inaccurate predictions, etc) and work to address those harms
Employ rapid prototyping techniques to quickly develop and iterate on AI product deployment and fast integration of end-user feedback loop
Integrate necessary data technologies, platforms, tools, and 3rd party tools needed for product deployment and functionality
Ensure AI product performs as intended and expected by end-users
Ensure appropriate maintenance, bug fix and feature requests are resolved
Create appropriate system diagrams and documentation, including model explainability

What you will need to succeed:

Experience - Demonstrated experience in training, development and deployment of supervised and unsupervised machine learning, deep learning algorithms and applied AI. Strong understanding and experience in analytical and statistical modeling and methods. MLOps experience in deploying and maintaining models is a plus.
Technologies - Strong experience with Python/R programming, cloud services and infrastructure, containerization and orchestration tools. Experience with CI/CD, software bug tracking and feature request management, using tools like Jenkins, Jira, GitHub, etc.
Learning - Our data and AI products can span a range of applied AI focus areas. From NLP-based solutions to image recognition and processing, the applications are essentially unrestricted. Hence, this role will require an individual with an appetite for (quickly) learning and applying the various techniques needed to address the specific focus area
Communication - Ability to communicate effectively with cross-functional teams, engineers, partners and end-users. Excellent written and verbal communication skills to technical and non-technical audiences. Excellent technical writing and documentation skills
Teamwork - Effective team player who understands the responsibility every individual brings to the table and how to encourage and drive results from each team member
High Performance - Ability to quickly learn new technologies and methodologies to ensure successful and timely completion of product development
Results-oriented - Highly organized and detail-oriented, self-driven and able to adapt to learning and implementing new technologies, and creative in solving issues as they arise
Cultural alignment - An advocate for social progress; interest in emerging technologies and their ability to advance societal outcomes

What we offer:

Compensation – Anticipated starting salary range of $110,000-$140,000, with flexibility based on experience
Health Coverage – Foundation-paid medical, dental, and vision insurance for employees, spouses/domestic partners, and dependents. HSA/FSA plans, life insurance, and short- and long-term disability coverage
Long-term Rewards – 401(k) retirement plan with generous matching up to 6% of annual pay, plus an additional discretionary match at the end of year
Flexible PTO – Unlimited paid time off, which allows team members to take the time they need for vacation or illness so they can return to work able to contribute fully to our mission. The foundation recognizes 11 paid national holidays per year and may also announce closure for local, regional, or state holidays
Remote Work Environment - Ability to work 100% remotely, but not alone - with mature, socially minded professionals
Wellness Support – Access to Ginger, Gympass, Headspace, and SmartSpend Plus, along with financial well-being providers
Parental Leave – Up to 6 months of gender-neutral paid leave for parents and caregivers when they have a new addition to their families
Learning Reimbursements – Foundation policy encouraging employees to explore development opportunities such as peer learning, internal trainings, and external activities; savings on student loans (available via insurance provider)
Philanthropic Gift Matching – opportunity for team members to support vulnerable communities, reflecting PJMF’s commitment to social impact

The attributes listed above represent our current thinking for the role. You can be a great candidate even if you don't fit everything we've described below. You can also have important skills we haven't thought of. If that's you - even if you’re on the fence - we encourage you to apply and tell us about yourself!

We have built an environment that celebrates the differences in backgrounds and experiences. PJMF invests in activities that lead to greater inclusion, diversity, equity, and accessibility in how AI and data are conceptualized, developed, applied, and deployed. We are applying the same framework as our team grows and expands. We are an equal opportunity employer and we especially encourage and invite members of traditionally underrepresented communities to apply.

All PJMF team members must be fully vaccinated against COVID-19.


Principal Data Scientist Ml

Description
At Shutterfly, we make life’s experiences unforgettable. We believe there is extraordinary power in the self-expression. That’s why our family of brands helps customers create products and capture moments that reflect who they uniquely are.
The Shutterfly Personalization Data Sciences Team is recruiting a Principal Data Scientist as thought leader within a broad array of machine learning applications: from developing computer vision models on billions of images to implementing cutting edge product and content recommendation engines while working with a best-in-class ML ops platform. Our growing team of data scientists and engineers will provide you with the opportunity to work with virtually every form of customer purchase and engagement data, applying state of the art techniques for customer personalization.
What You'll Do Here:
Work with stakeholders to define objectives and measure success, establish KPIs and measurement methodologiesProvide expertise to non-analytical peers within Marketing, Product and EngineeringDevelop experimental designs to support test and learnApply advanced knowledge of SQL and the ability to extract and develop complex modeling features through our MLops platform and feature storeSize the impact of the models on key business measuresBuild machine learning models using Python which can recommend optimal product, offer, content and information.Provide actionable insights to drive key decisions across the marketing organization using a range of analytical/statistical techniques from descriptive analysis to predictive/explanatory modelsBe a self-starter, eager to learn, and motivated by a passion for developing the best possible solutions to problems
The Skills You'll Bring:
MS or Ph.D. or equivalent experience in a quantitative field such as computer or data science, economics, applied statistics or life sciences5+ years of experience in developing and deploying machine learning and deep learning models in a professional settingKnowledgeable about recent advancement in the field and possess a strong research mindsetDomains of expertise should include at least one of the following: collaborative filtering, content-based recommender systems, link-click prediction, NLP for information retrieval, computer vision or predictive customer targeting.Experience with deep learning frameworks such as Tensorflow, Keras and/or Pytorch and developing statistical studies in Python/JupyterExperience with MLops tools and platforms such as MLflow, Sagemaker and DataBricksAdvanced SQL skillsPractical experience with distributed data platforms: Map/Reduce, Hadoop, SPARKUsage of cloud compute solutions, eg. AWS, GCS or AzureExperience with version control systems such as GithubHands-on experience with Unix and shell scripting
Supporting a diverse and inclusive workforce is important to Shutterfly not only because it directly reflects our value of Embracing our Differences, but also because it’s the right thing to do for our business and for our people. Learn more about our commitment to Diversity, Equity and Inclusion at Shutterfly DE&I.The compensation package for this role is based on multiple factors, such as job level, responsibilities, location, and candidate experience. The base pay ranges included below are specific to the locations listed and may not be applicable to other locations. California: [$138,100 -$197,250] Connecticut, New York, and Rhode Island: [$138,100 - $179,100] Colorado and Washington: [$138,100 - $165,600] Nevada: [$129,800-$179, 100] This position may be eligible for a bonus incentive, health benefits, a 401K program, and other employee perks. More details about our company benefits can be found at https://shutterflyinc.com/benefits/.  #SFLYTechnology


Senior Data Scientist Inference People Analytics

Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
The Community You Will Join:
The People Analytics team is looking for an experienced Data Scientist to lead and/or contribute to some of our key projects, such as survey analysis (employee listening); how to hire, promote, and retain a demographically diverse workforce; and how to maintain fairness in key company processes. The role is highly cross-functional, and you will work with Talent Leaders, Legal, Diversity and Belonging, and other core people-oriented teams. We need a Data Scientist with a proven track record in translating data to insights and action.
The Difference You Will Make:
People Analytics is a strong team of Data Scientists and Researchers. Our work is highly sought-after, and our impact on the business is tremendous. If you have a proven background in this field and are excited to help build Airbnb’s community, we want to hear from you.
A Typical Day:
Collaborate with partners and stakeholders to understand people-related business problems, and gather relevant people data to analyze
Utilize appropriate statistical models and data science methodologies to gain insights, explain, or predict a wide variety of people-related processes, such as hiring, promotion, productivity, attrition, employee engagement, and workplace diversity, among others
Translate data and insights into meaningful visualizations and stories to drive strategy, action, and decision-making with leaders across the business
Align research priorities with business priorities and take a customer-focused mindset in working with stakeholders
Leverage academic expertise and knowledge of people analytics trends to address practical business challenges
Exercise traits of adaptability and good judgment to support organizational agility
Be a constant learner, active listener, and teacher to advance data science, people analytics, and Airbnb
Your Expertise:
5+ years in industry experience and a Master's degree/PhD in a quantitative field
Experience in research design and advanced statistical analysis (experimentation and quasi-experimental methods)
Ability to conduct statistical analysis using R or Python
Ability to access databases via SQL
Knowledge of and experience in survey design and analysis
Experience interpreting survey data and using it to drive decisions
Ability to communicate clearly and effectively to cross functional partners of varying technical levels and drive impact
Understanding of the external people analytics landscape and trends
Experience working with large practical datasets
How We'll Take Care of You:
Our job titles may span more than one career level. The starting base pay for this role is between $152,000 and $203,500. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Your Location:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Airbnb,Inc. can employ in  states where we have registered entities. Currently, employees can not be located in: Alaska, Indiana, Nebraska, North Dakota, Ohio, South Dakota, Wisconsin, Alabama, Mississippi, Oklahoma, Delaware and Rhode Island. This list is continuously  evolving and being updated, please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
If you need assistance, or a reasonable accommodation during the application and recruiting process, please contact us at: reasonableaccommodations@airbnb.com.
Apply now