Senior Data Scientist

Vroom is an innovative end-to-end ecommerce company that is revolutionizing the car buying experience. Our scalable, data-driven technology brings all phases of the vehicle buying and selling process to consumers wherever they are and offers an extensive selection of vehicles, transparent pricing, competitive financing, and contact-free, at-home pick-up and delivery. We have experienced tremendous growth and have become a disruptive force in the automotive industry. Vroom is an exciting, dynamic workplace, and there's no better time to join the team than right now.We are growing our team seeking a Sr. Data Scientist who will focus on improving customer conversion specifically related to the financing cycle.Responsibilities:
Lead the development, maintenance, and delivery of data science products for various business units.
Lead the selection and implementation of new technologies and facilitate their rollout, working closely with product, devops and engineering leads.
Lead the establishment of modeling best practices and coding standards to be used across the data science organization.
Stay current with rapidly developing data modeling technologies and share knowledge with the greater team.
Ensure proper use of Vroom data assets by working closely with our data governance and cybersecurity teams.
Proactively apply business judgement to identify opportunities and develop data science strategies.
Advocate and advance modern, agile data science product development practices and help develop and evangelize great engineering and organizational practices.
Influence, collaborate, and communicate effectively with other business leaders.
Communicate scientific solutions and insights effectively to a non-technical audience.
Develop mechanisms to audit the product quality and develop best practices.
Mentor junior members of the team.
Requirements:
Bachelor's Degree in Quantitative Sciences (Computer Science, Mathematics/Statistics, Engineering, Physics, among others) required. Masters Degree preferred.
4+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role.
Advanced proficiency with Python or R, and solid working knowledge of SQL.
Modeling experience related to car loans, ability to pay or credit level preferred, not required.
Strong communication and presentation skills.
Demonstrated ability to own a project and bring it to fruition with minimal oversight
Conceptual knowledge and background in probability, statistics, and machine learning including their technical implementation.
Experience designing, prototyping, and deploying production-ready machine learning solutions.
Strong problem-solving skills.
#LI-REMOTE

Commitment to Diversity and Equal Employment Opportunity
Vroom is an equal opportunity employer that is committed to creating a work environment where all employees can find their drive. To do that, we champion a workplace where each and every person is treated with dignity and respect and is valued for their unique perspective and contributions. Our values of SPEED: Service, Progress, Employees, Engagement, and Development are only possible in an environment where every individual has the ability to bring their whole selves to work and contribute fully.
Vroom’s policy is to maintain a working environment that encourages mutual respect, promotes harmonious and congenial relationships between employees, and is free from all forms of discrimination and harassment of any employee (or applicant for employment or service provider) by anyone, including supervisors, co-workers, vendors, or clients. Harassment and discrimination in any manner or form is expressly prohibited. There is no tolerance for discrimination or unequal treatment of any kind on the basis of race, color, religion, creed, gender, sex, sexual orientation, gender identity or expression, pregnancy, sexual and reproductive health decisions, national origin, age, disability, genetic information, marital status or civil partnership/union status, familial status, military or veteran status, predisposition or carrier status, domestic violence victim status, alienage or citizenship status, unemployment status, sexual violence or stalking victim status, caregiver status, or any other characteristic protected by law.This practice applies to all terms, conditions and privileges of employment including, but not limited to, recruitment, selection, promotion, demotion, transfer, layoff, rehire, termination of employment, development and training, compensation, benefits and retirement.
Please review our privacy and CCPA policies


Data Scientist

Vroom is an innovative end-to-end ecommerce company that is revolutionizing the car buying experience. Our scalable, data-driven technology brings all phases of the vehicle buying and selling process to consumers wherever they are and offers an extensive selection of vehicles, transparent pricing, competitive financing, and contact-free, at-home pick-up and delivery. We have experienced tremendous growth and have become a disruptive force in the automotive industry. Vroom is an exciting, dynamic workplace, and there's no better time to join the team than right now.Vroom's Data Team is looking for a Data Scientist who will focus on making continuous improvements to the website. This candidate will be responsible for customization of the customer experience. E-commerce industry, modeling and forecasting experience is required.We value your personal growth, and will gladly train you on any of our technologies that you don't currently have. Ours is a culture where your voice will be heard, and you'll be able to see the result of your work! We're one of the few players in the ecommerce automotive space. As a member of our crew, you will become an industry expert.Responsibilities
Own end -to-end ML/analytics pipelines and work with stakeholders to develop deep domain expertise on associated business processes.
Build, validate, and maintain predictive models to increase and optimize conversion, customer experience, and other business outcomes.
Identify standard and novel data solutions to assess consumer-related demand levels and other market indicators.
Acquire, organize and leverage insights derived from large datasets.
Collaborate with different functional teams to rapidly deploy newly developed models, maintain existing ones, and run ad-hoc analyses as needed.
Propose solutions and strategies to business challenges.
Present proposed solutions and results to stakeholders.
Requirements
Bachelor's Degree in Quantitative Sciences (Computer Science, Mathematics/Statistics, Engineering, Physics, among others) required. Masters Degree preferred.
2+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role.
Proficient with Python or R, and solid working knowledge of SQL.
Strong communication and presentation skills.
Experience with ecommerce predictive analytics / modeling to include optimizing website conversion and behavior preferred.
Conceptual knowledge and background in probability, statistics, and machine learning including their technical implementation.
Experience designing, prototyping, and deploying production-ready machine learning solutions.
Strong problem-solving skills.
#LI-REMOTE

Commitment to Diversity and Equal Employment Opportunity
Vroom is an equal opportunity employer that is committed to creating a work environment where all employees can find their drive. To do that, we champion a workplace where each and every person is treated with dignity and respect and is valued for their unique perspective and contributions. Our values of SPEED: Service, Progress, Employees, Engagement, and Development are only possible in an environment where every individual has the ability to bring their whole selves to work and contribute fully.
Vroom’s policy is to maintain a working environment that encourages mutual respect, promotes harmonious and congenial relationships between employees, and is free from all forms of discrimination and harassment of any employee (or applicant for employment or service provider) by anyone, including supervisors, co-workers, vendors, or clients. Harassment and discrimination in any manner or form is expressly prohibited. There is no tolerance for discrimination or unequal treatment of any kind on the basis of race, color, religion, creed, gender, sex, sexual orientation, gender identity or expression, pregnancy, sexual and reproductive health decisions, national origin, age, disability, genetic information, marital status or civil partnership/union status, familial status, military or veteran status, predisposition or carrier status, domestic violence victim status, alienage or citizenship status, unemployment status, sexual violence or stalking victim status, caregiver status, or any other characteristic protected by law.This practice applies to all terms, conditions and privileges of employment including, but not limited to, recruitment, selection, promotion, demotion, transfer, layoff, rehire, termination of employment, development and training, compensation, benefits and retirement.
Please review our privacy and CCPA policies


Sr Data Scientist

Job Summary:
We are looking for an Engineering Insights Senior Data Scientist to drive key analytics and engineering initiatives that improve Disney Streaming’s engineering ecosystem. The Engineering Insights team is responsible for identifying and building solutions for data insights that improve the reliability, performance, and user experience across Disney+, ESPN+, and Hulu.
This is an opportunity to join a team to improve the user’s experience through analyzing Disney Streaming’s entire ecosystem, identifying areas of improvement, and building custom solutions to proactively increase issue identification and triage. The analysis and insights you create will help drive engineering initiatives and priorities.
To be successful in this role, you need to be a strong data scientist; always striving to solve complex problems at scale. A strong background in distributed services and client architecture is preferred. Whether you’re in New York, California, Seattle, or remote, we provide opportunities to elevate your career and to transform an industry.
Responsibilities:
Work with a group of data scientists in the development of analytical models using statistical, machine learning and data mining methodologiesTranslate complex problems and solutions to all levels of the organizationDrive innovation of the statistical and machine learning methodologies and tools used by the teamPartner with cross-functional teams in identifying, defining, supporting, and improving reliability and performance
Basic Qualifications:
5+ years of experience in advanced analyticsExpert level knowledge of machine learning. Ability to define the direction for a project and select appropriate methods and tools. Up to date knowledge of recent advancementsExperience implementing scalable, distributed, and highly available systemsProficient in Python. Java or Scala is a plusExperience in data processing using SQL and PySparkHighly skilled in statistics concepts (e.g., hypothesis testing, A/B testing, regression analysis, clustering, anomaly detection)Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc.Strong analytical skills and innate curiosity to troubleshoot and dive deep into complex technical issuesExperience using data and analytical skills to derive key performance insights in a complex ecosystem Experience of identifying key value drivers in a direct-to-consumer application
Preferred Qualifications:
Advanced (Master or PhD) degree with specialization in Statistics, Computer Science, Data Science, Economics, Mathematics, Operations Research or another quantitative field or equivalent2+ years of experience in streaming industry, knowledge of client and server-side architecture a plus 3+ years of Python, Spark, Pyspark or Scala


Head Of Data

Co–Star’s writing resonates so deeply that people compare Co-Star to a best friend, a therapist, and a mom. This content is powered by structured data, synthetic generation, and personalization. We're looking for a Head of Data to lead the data science team at Co–Star. You’ll help tens of millions of people connect to each other and themselves – through astrology – in real, meaningful ways. You will report to the VP of Engineering.
WHAT YOU’LL DO

Support, develop, and build out our data science team, currently two people
Evaluate our current data science processes and create a strategy around improvements and scalability, iterate on processes and structure to optimize the data organization
Work closely with Product to develop a roadmap that blocks out longer term strategy around content systems, shipping incrementally with as much measurable user value as possible.
In partnership with in-house recruiting, hire and grow Co–Star’s data science organization, working closely with the rest of the team to execute your hiring goals
Work with cross-functional leadership to set strategy and quarterly company-wide OKRs, tricking that down to data science OKRs
Work closely with the team to troubleshoot issues with data structures, cross-functional opinions about data
Drive accuracy of AI/ML products and educate others on AI/ML products and capabilities.

Transform ML papers (Fan, Reiter) & experimental ML tools (e.g. GPT-3) into products & metaphors we can use to drive development

WHAT YOU'LL BRING

5+ years leading data scientists, data analysts, or other members of data organizations
Precise and thoughtful communication and management style
Excitement and success around hiring, developing, and retaining your team, keeping DE&I at the forefront of every hire
A mindset that process is around to serve us and is something that can and should be iterated on
Expert-level understanding of core principles & modern tooling in data science, including machine learning (eg SK Learn, Pytorch, Tensorflow), data and text analytics, clustering, pattern recognition and extraction, automated classification and categorization, deep learning, and NLP
Experience with data pipelines for storage and accessing (AWS Athena, GCP BigQuery) and processing (Athena, EMR, Dataflow, Dataproc)
Deep familiarity with data science workflows, including experimentation and evaluation
A love of figuring out “hacky” ways of accomplishing things, but the awareness to know when the cheap way is no longer adequate
A clear communicator, both verbally and in writing
Secret love for beautiful writing

OUR STACK

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


Data Scientist Customer Experience Product

About the job

We’re looking for a business-minded data master to join our team as a Data Scientist to drive data-centric product development and growth in collaboration with our high-performing team of Product Managers, and Software Engineers on the Customer Experience Product team.

You will work closely with the team to build and deploy highly performant dynamic pricing models to personalize customer experience products to optimize for conversion rates and overall revenue. You will drive experiments and launch challenger models to test hypotheses and continually improve upon key business metrics. Hopper’s large user base often means that we can get statistically significant results within a short period of time post-launch, making this a dynamic role for a results-driven data scientist.

You may be a great fit for our team if you’re a curious self-starter who thrives in ambiguity, is passionate about exploring the intersection of real business problems with huge (and often messy) data sets, and finding effective ways to simplify and focus on practical opportunities to deliver significant value to our customers.

Minimum Qualifications

A degree in Math, Statistics, Computer Science, Engineering or other quantitative disciplines
Extremely strong analytical and problem-solving skills
Proven ability to communicate complex technical work to non-technical audiences
A strong passion for and extensive experience conducting empirical research and answering hard questions with data
A self starter mentality and the ability to thrive in uncertainty
Experience with relational databases and using SQL to pull and analyze data
Experience in Pandas, R, SAS or other tools appropriate for data preparation and analysis
Experience with statistical modeling tools and underlying algorithms
Experience with business reporting tools such as Tableau, Amplitude
Proficiency with Unix/Linux environments

Preferred Qualifications

Experience with revenue management models in travel a plus
Ability to break down complex business problems down to the data drivers
Strong ability to communicate models and insights to stakeholders
Comfortable collaborating with engineering to identify and own data science implementations in production
Able to design, create and measure consumer facing experiments
Able to provide thought leadership on pricing and revenue management models
Able to create ETL pipelines and/or support engineering in the creation of ETL pipelines

Responsibilities

Frame and conduct complex exploratory analyses needed to deepen our understanding of Hopper users and what drives them to conversion and retention
Create and deploy powerful dynamic pricing models that power Customer Experience product merchandising on the Hopper app
Have ownership of the full data science lifecycle, including partnering with product, engineering and operations teams to deliver highly customer focused products.
Use machine learning and big data tools on large and complex data sets to enhance our data-driven, personalized travel advice
Create advanced dashboards for product experiment tracking and business unit performance analysis using Amplitude, Tableau and BigQuery/Google sheets
Find effective ways to simplify and communicate analyses to a non-technical audience

Benefits

Well-funded and proven startup with large ambitions, competitive salary and stock options
Unlimited PTO
WeWork All Access Pass OR Work-from-home stipend
Entrepreneurial culture where pushing limits and taking risks is everyday business
Open communication with management and company leadership
Small, dynamic teams = massive impact
100% employer-paid telemedicine, medical, dental, vision, disability and life insurance plans
Access to a Retirement Savings Plan

Despite the pandemic’s impact on the travel industry, Hopper has emerged stronger than ever. As the travel industry continues to rebound, Hopper has seen its valuation more than double since early 2020, reflecting the strength of our mobile-only marketplace and the value customers are deriving from our proprietary suite of fintech offerings.

Here are just a few stats that demonstrate our recent growth:

- Hopper’s valuation is now over $3.5B, reflecting the strength of its mobile-only marketplace and value customers are deriving from the company’s proprietary suite of fintech offerings.

- Based on its current run rate, Hopper is pacing towards 330% revenue growth compared to last year, and it has already surpassed its pre-pandemic revenue peak from Q1 2020 by over 100%.

- Hopper has over 60 million downloads, consistently ranks as one of the most downloaded travel apps, and now has a larger air travel market share in North America than it did before the pandemic (source: MIDT).

- The company is on track to surpass $1.5 billion in travel sales this year, with 40% coming from the hotel and car rental categories.

- Hopper’s fintech offerings, such as Price Freeze and Rebooking Guarantee, now represent 50% of its revenue.

- Given the success of its travel fintech, Hopper recently launched a B2B initiative called Hopper Cloud, where any travel provider can unlock a totally unique revenue stream by seamlessly integrating and offering Hopper’s travel fintech.

The industry opportunity for Hopper Cloud is enormous as projections estimate that if all travel distribution channels offered travel fintech, it could increase the total consumer spend for the sector by $200 billion annually.

All this recent growth is just the beginning. There are still so many new opportunities we’re excited to tackle in the next year!


Sr Scientist

Why Join Revenue Analytics?
Because you have exceptional talents and you want to be part of a fun and highly collaborative team that creates analytical products to solve business problems for world-renowned companies.

What's In It For You?
·       Competitive base salary
·       100% paid healthcare including medical, dental, and vision coverage for our Team Members and their families

·       100% paid life insurance, long and short-term disability coverage for Team Members
·       401k plan with a generous match and immediately vested
·       Company issued cell phone or phone allowance
·       Open PTO plan (take what you need!) and 9 paid holidays
·       Gym membership reimbursement
·       Flexible work arrangements
·       Awarded a 2020 Healthiest Employer by the Atlanta Business Chronicle
·       Once again awarded a Top Workplace in Atlanta in 2021!

Are you itching to come execute the vision and roadmap for all product analytics with oversight and then communicate those analytics to our customers in ways that builds their confidence and trust in our products and our capabilities?  If so, this may just be the role for you!

A Day in the Life

Provide ongoing analytical support to customers using our products, including proactive monitoring of model performance, quarterly model refreshes and parameter tuning
Perform high quality analysis for customer engagements
Develop analytic requirements and select appropriate models for solution design
Design well‐engineered models to solve customer problems, balancing sophistication with business fit
Combine understanding of the vertical industry and predictive analytics to translate business insights/nuances of customers into model/parameter updates or improvements
Explain to customers and prospects how the analytics in our products work and proactively address customer questions about model recommendations
Collaborate with cross‐functional peers, both internally and externally, to design customer solutions and proactively raise issues and questions to ensure alignment

Who You Are

Master’s or foreign equivalent degree in Operations Research, Economics, Engineering, or another applied mathematics discipline
In lieu of a master's degree or the foreign equivalent, will accept a Ph.D. or foreign equivalent degree and 2+ years of experience as stated
3+ years of relevant experience applying research to revenue or yield management issues
Must also have experience solving business problems using stochastic, heuristic, or deterministic methodologies; and using Python, R, or SQL analytical tools

Who We Are
A pioneer of Revenue Management, Revenue Analytics is an enterprise SaaS company that partners with Hospitality, Media, Transportation, and Manufacturing and Distribution companies to solve their most complex pricing challenges. By leveraging powerful analytics and deep strategic experience, Revenue Analytics’ next-generation software delivers intuitive answers to help companies perfect their pricing, reclaim missed revenue, and take back their time. To learn more about how Revenue Analytics is recreating Revenue Management, visit revenueanalytics.com or follow us on Twitter and LinkedIn.

Revenue Analytics embraces diversity and is an equal opportunity employer. We are committed to building a Team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.


Data Scientist

We’re Phrasee and we help brands say it better. An AI-powered SaaS platform that revolutionises customer experiences through Brand Language Optimization, Phrasee helps visionary enterprises enhance and personalise their customer experiences by optimising the language they use across the full customer journey and spectrum of digital brand channels.

All brand communications are predicated on one thing: language. In spite of its central role to marketing success, it remains looked upon as a Dark Art – exempt from the scientific rigor applied across the rest of the marketing funnel. Phrasee set out to accomplish the impossible: putting science (and sentiment) behind words. We are rewriting the digital marketing playbook one optimised word at a time.

Our effortless (borderline magical) platform is proven to boost customer engagement and increase lifetime value for the world’s leading brands, including Dixons Carphone, Domino’s, eBay, FARFETCH, Virgin Atlantic and Walgreens. We absolutely obsess about our customers' success so they can say it better.

At Phrasee you get to work with a super smart and caring team, who make BIG ideas a reality while having a lot of fun. Our growth plans are fast and global and we want YOU to be a part of our story.

Our team:
We are a small, agile and highly motivated product development team.  We have collaborative and flexible working environment, and we love getting stuff done. As a Data Scientist, you will work alongside our world class product and engineering teams to lead research and development of differentiating AI/ML solutions that will enhance our product.

Our platform:
Phrasee is a SaaS platform that uses proprietary NLG and Deep Learning to generate and optimize language for use in marketing communications.

Phrasee is built with Open API’s designed to make it easy for third party technology platforms such as Email Service Provides, to integrate our technology to their workflow.

What you'll be doing:

Reporting to the Lead Data Scientist, you will be working in an agile team, to research, design and build market leading AI/ML solutions that make a material impact to our business and customer experience.
Look to proactively identify and solve business challenges with advanced data science and analytics tools.
Coordinate with product and engineering to translate R&D prototypes into production-ready systems.
Develop workflows and processes to streamline Phrasee's research and development lifecycles.

You’re a Data Scientist who:

Loves numerical data, so naturally keeps on top of all the latest academic and industry developments in Data Science, Machine Learning, and AI.
A desire to learn new concepts quickly, and apply them to real customer problems.
Can adapt quickly, and calmly, to changing priorities.

You have a range of technical skills including:

Hold a Masters or PhD (or equivalent practical experience) in a highly numerical discipline such as maths, physics, statistics or computer science.
Have a strong working knowledge of fundamental statistics.
Experience with Python – pandas, jupyter and the broader scientific python ecosystem.
Ability to apply abstract mathematical concepts to noisy real-world data.
Communicate effectively with people across the business who have a variety of backgrounds.
Bonus points for knowledge of NLG, NLP, Computational linguistics, Machine Learning DevOps and Data visualization.

What we're offering:

We strive to create a fun, friendly, and comfortable working environment.
We believe a good work-life balance is essential.
We're in this business for the long haul. We give our team time to think and to do things right.
Our team is a democracy. Everybody has a voice in how things are done.
We offer a competitive salary and benefits, but most importantly, a chance to work for a young, scale up company with and AWESOME team and culture, and a cutting-edge product that actually shows the value of AI!

This role is remote, with a base in the UK required.


Data Scientist Product Analytics

About us:
Live experiences help make us human, bringing us across today’s social and digital divides to focus on what truly connects us - the here, the now, the once-in-a-lifetime moment that we share - together. To fulfill Gametime’s vision to unite the world through shared experiences, we deliver fans an extraordinary experience for enjoying, discovering, and purchasing last-minute tickets to live events.

With platforms on iOS, Android, mobile web, and desktop supporting events across the US and Canada, we are reimagining the event ticket experience in a mobile-first world.

The Role:
We are looking for an organized, data-driven, and curious team player to work cross-functionally across the data, product, marketing, finance, and operations teams. As a Data Scientist, Product Analytics, you will support and inform various functions throughout the company to solve business-critical issues, specifically related to our product, features, etc. You will dive into user behavior data to provide insights which will impact major business decisions and own the maintenance of Gametime’s business intelligence reporting. The ideal candidate will be able to thrive in a fast-paced environment and able to adapt to changes within the business and the industry.

Our ideal candidate has:

3+ years of Data Science experience, ideally at a technology company
Expert-level SQL
Experience with A/B testing required
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
Experience analyzing user-centric products, preferably in the gaming or marketplace industries
Strong problem-solving skills
Some experience with production-level Python or R

What you'll do

Provide insight into critical business decisions, working closely with the executive team to answer pressing issues
Analyze user behavior data and funnel metrics, generating recommendations for product and feature improvements
Own the maintenance and improvement of Gametime’s business intelligence reporting infrastructure
Leverage 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

What we can offer

Flexible PTO
Medical, dental, & vision insurance
Life insurance and disability benefits
401K, HSA, pre-tax savings programs
New equipment setup provided
Wellness programs
Tenure recognition

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.


Director Of Data Science

The Company:WorkStep is the leading software provider of workforce retention and hiring solutions for the supply chain industry. We’re a Series A startup (backed by leading investors) who is disrupting the industry and changing the way companies have traditionally hired and retained their frontline supply chain workers.Our mission is simple: to make the supply chain a better place to work. How? By helping companies within e-commerce, manufacturing, retail, CPG, transportation, and logistics make better-fit hires and improve their frontline workforce satisfaction and retention.The Role:WorkStep is a data-first company, and putting data to work is an aspect of everything we do. Our growing Data Science team (Analytics, Data Science, and Data Engineering) is a specialized, cross-functional group that collaborates with a variety of departments to drive decisions and provide direction for the company. As Director of Data Science at WorkStep, you will be instrumental in continuing to build out the Data Science function within the organization and laying the foundations for accelerating the way we bring data and insights to our product and business operations. You will work directly with the CTO to develop a strong bench of talent, model our vast data repositories, and define mechanisms for bringing critical thinking to all corners of our business operations.We are looking for a creative thinker who can develop and execute workable solutions to complex problems that will have an impact in days, instead of a perfect one that might require weeks. The ideal candidate has the acumen to leverage modern techniques to drive business value, but also the experience to bring rigor, maintainability, and scalability to our data operations.Responsibilities: Hire, develop, and lead a team of top talent data scientists and engineers Lead the team to deliver strong results by researching and building cutting edge, leverageable methodologies and solutions. Partner and influence leadership to ensure team priorities and output directly impacts company strategy, direction and growth. Own the raw data sources and modeling layers that power Business Intelligence for BizOps and Finance Collaborate closely with Product Engineering in a formal Data Review to ensure the accuracy and integrity of any productionalized analytics. Ultimately responsible for our data pipelines and warehouse. Chief architect for how WorkStep develops, maintains, operationalizes, and integrates modern machine learning models into our various workflows.  MS/PhD degree in a quantitative field (computer science, applied math, economics, statistics, engineering) or equivalent industry experience  3+ years people management experience in a technology setting Expert command of SQL and mathematical programming (R, Matlab, Scikit, etc) Significant experience with data warehousing (BigQuery, Redshift, Snowflake) Significant experience operationalizing modern machine learning techniques Experience with Python and common analytical libraries Familiarity with ETL and data pipeline mechanisms Extreme attention to detail Comfortable in a smaller rapidly evolving early stage start-up environment working remotely Passion for the WorkStep mission WorkStep is a fully remote company, meaning our team can work from where it suits them—whether that's East Coast or West Coast, in the mountains, or at the beach. We're a collaborative bunch who are focused on helping our customers succeed and deliver results, FAST. But we also know how to have fun and enjoy each other's company. Our benefits include: Remote working environment Unlimited PTO Top-notch technology Quarterly team building on-sites (when safe to resume) Workspace, wellness, and L&D stipends Competitive company-sponsored health, vision, and dental benefits package Opportunity to join a passionate, motivated, and fun team at an early stage to help shape and execute on our mission If you’re a collaborator who likes a challenge, who doesn’t mind rolling up their sleeves and getting stuck in, and wants to join a fast growing company at an early stage, we want to hear from you!WorkStep is an EEO employer. We do not discriminate against any applicant for employment, or any employee because of race, color, religion, national origin, age, sex, sexual orientation, gender identity, gender, disability, age, or protected veteran status. We are committed to building a safe, inclusive environment for people of all backgrounds.


Senior Data Scientist

About the job
The Sr. Data Scientist will be an experienced and inquisitive player/coach who is able to develop and run with data-centered projects.  You will be working closely with the Head of Data Science and other key functional groups to help realize the data science strategy and vision which supports Banjo Health’s overall goal of reducing the burden of prior authorizations.  Your work will directly influence Banjo Health’s ability to provide cutting edge solutions to key stakeholders within PBMs, Health Plans, Providers, and other healthcare customer segments.  Using artificial intelligence & machine learning, natural language processing, and other methodologies, we will ensure that patients receive treatments in a timely and appropriate way.
Requirements
Position responsibilities:
Train, test and validate machine learning models to predict prior authorization (PA) decisions and explain recommendations.
Utilize NLP and deep learning techniques to solve problems across the Banjo suite, examples of which may include generating decision trees from prior authorization requirements, building medical question and answer systems, or improving medical search capabilities within a patient’s medical record.
Produce precision, recall, f1 scores, and ROI curves to demonstrate model improvement.
Develop rich feature encodings for Prior Authorization use cases.
Work closely with our partners in Engineering to bring models into production-grade settings
Provide Data Science support on pilot studies investigating new medical decision making processes.
Collaborate cross-functionally to scope problems and provide informed and practical data science recommendations.
Perform other duties as assigned.
Requirements:
Experience with a wide range of data formats and standards such as FHIR, EDI, XML, JSON.
A track record of successfully applying data science techniques to solve challenging problems.
Strong knowledge of supervised modeling techniques such as logistic regression, decision trees, SVM, neural networks.
Working knowledge of established and emerging NLP strategies.
Experience writing useful, maintainable, production-grade Python code.
Experience building end-to-end data pipelines from ETL to model training and testing to deployment.
A passion for collaborating and sharing knowledge in both technical and non-technical settings.
Dynamic, collaborative, and entrepreneurial spirit with a “get it done” mentality.
High growth company and/or startup experience is strongly preferred.
Prior experience working with medical records data, healthcare systems, medical decision making or Prior Authorization processes.
Experience with knowledge graphs or ontologies, bonus points if you’ve worked with UMLS in the past preferred.
Bonus points if you have direct experience working within a payer on utilization management or an organization supporting payers on utilization management.
Education requirements:
BS, MS, Ph.D. in Computer Science, Data Science, Statistics or related discipline.
Benefits
Competitive salary and equity, remote first work environment, unlimited PTO, deep work Wednesdays, company sponsored healthcare, dental, & vision benefits, career development opportunities, and exciting team retreats are among the myriad benefits you'll experience while working at Banjo Health.
About us
Banjo Health Inc. is a health industry solutions provider that helps customers navigate the ever-changing medical climate through Artificial Intelligence (AI).  The Banjo Health mission is to create a clear path to focus on optimal patient care for our healthcare partners by providing innovative, effective, and efficient technological solutions to overcome barriers in streamlining traditional workflow. With deep technical expertise, Banjo Health is empowering enterprises to harness the full power of the cloud and emerging technologies such as blockchain, artificial intelligence, machine learning, and natural language processing through customized solutions and first-party cloud-based products. Banjo Health is uniquely comprised of technologists and clinicians who share a deep understanding of medical market needs and the appropriate application of cloud technology + AI to solve the biggest burdens in healthcare. Visit http://www.banjohealth.com for more information.
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Senior Data Scientist

You are a driven and motivated problem solver ready to pursue meaningful work. You strive to make an impact every day & not only at work, but in your personal life and community too. If that sounds like you, then you've landed in the right place.The Hartford seeks energetic and passionate data science talent to build and create best in class data science teams. Our Data science team has developed industry-leading capabilities, driving streamlined processes and smarter decision making. We support a variety of functions including Actuarial, Product, Underwriting and Sales. Join our team as a Data Scientist to improve our view of segmentation through research of new features and techniques. The areas of our work ranges across a wide range of business use cases including but not limited to underwriting, claims, operations, risk engineering, third party data and digital analytics. Our team’s focus is to develop analytic and predictive modeling solutions and partner with our data engineers to generate and enhance existing feature engineering as well as modeling assets and abilities.  Generalized linear models are a major technical component of this role, along with the use of other machine learning methodologies, including but not limited to gradient boosting, random forests, and neural networks. The ideal candidate will also be familiar with common data visualization techniques and will have the ability to communicate key data-related findings to business partners of varying technical backgrounds.  Minimum Experience
Master’s in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, or similar analytical field or progress towards or attainment of a relevant professional designation (i.e. ACAS/FCAS, ASA/FSA, CFA, CSPA, etc.)
5+ years of relevant experience in Research Function in Insurance or Financial Services or related field
Experience with database RDBMS technologies (i.e. Oracle, SQL Server, Teradata, etc.)

Subject matter expert in modeling data and analytical capabilities utilizing Python
Preferred Skills:
Experience with big data technologies (i.e. Hadoop, Spark, Hive, EMR, etc.)
Passion for learning new skills and the ability to adjust priorities on multiple projects based on changing demands/needs
Verbal/written communication skills, with particular emphasis on communicating to non-technical audiences
Experience with Financial Lines insurance a plus
CompensationThe listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:$95,360 - $143,040BenefitsOur company’s success is due to our employees’ dedication and passion for their work. They are our greatest asset. That’s why we are committed to offering employees and their families a comprehensive benefits package and award-winning well-being programs. By helping our employees achieve their full potential, we unlock our own. Visit https://www.thehartford.com/careers/benefits for details.Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/AgeSr Data Scientist - GD07AE


Data Scientist

You are a driven and motivated problem solver ready to pursue meaningful work. You strive to make an impact every day & not only at work, but in your personal life and community too. If that sounds like you, then you've landed in the right place.As a Data Scientist, you will support our Middle and Large Commercial business function as this organization continues to increase the efficiency and efficacy of its business strategies and critical decision making via data and analytics. You will be translating predictive models into business solutions. You will leverage Python, predictive modeling (Linear models, Random Forest, Gradient boosting, etc…), and AWS technologies. Your models will be used to make faster and better business decisions to facilitate profitable growth.   Responsibilities:
Develop assets to support our Middle and Large Commercial organization using Python and SQL.
Own the full lifecycle of models built for the Middle and Large Commercial organization.
Write modular Python code to ease the hand off to Data Engineers for deployment.
Collaborate with Data Engineers, Senior Data Scientist, and Asset Owners.
Present your work to our stakeholders and customers.
Minimum Experience
Must be authorized to work in the US now, and in the future.
Master’s in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, or similar analytical field.
2+ years of relevant experience in a data science or applied analytics role.
Subject matter expert in modeling data and analytical capabilities utilizing Python
Experience with gathering data from structured databases (i.e. Oracle, Hive, etc..)
Preferred Skills:
Experience with data science in an insurance environment.
Experience with Amazon Web Services.
Experience with database RDBMS technologies (i.e. Oracle, SQL Server, Teradata, etc.)
CompensationThe listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:$80,480 - $120,720BenefitsOur company’s success is due to our employees’ dedication and passion for their work. They are our greatest asset. That’s why we are committed to offering employees and their families a comprehensive benefits package and award-winning well-being programs. By helping our employees achieve their full potential, we unlock our own. Visit https://www.thehartford.com/careers/benefits for details.Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/AgeData Scientist - GD08AE


Intern Data Science

You are a driven and motivated problem solver ready to pursue meaningful work. You strive to make an impact every day & not only at work, but in your personal life and community too. If that sounds like you, then you've landed in the right place.The Hartford is offering a 2022 Data Science Summer Internship Program designed to prepare you for a challenging and rewarding Data Science career. This competitive 11-week summer program includes a number of unforgettable team building and social events that let you meet and interact with other members of our large analytics community. The Data Science Calendar of Events includes speaker series, leadership panels, modeling competitions and training in insurance and advanced programming/modeling. This program begins in May 2022.Responsibilities:
Build and enhance the predictive power of existing models.
Develop state of the art predictive models that help achieve business targets. Partner with product, underwriting, claims, actuarial and other areas to implement predictive models.
Evaluate new internal and external data elements and technologies to be included in predictive models.
Develop and implement new multivariate methodologies to solve practical business problems.
Build databases to facilitate robust analyses.
Identify relationships within data sets that can produce meaningful differentiation amongst competitors.
Provide insight in to leading analytic practices and produce new and creative analytic solutions.
Find patterns and insights in unstructured data.
Project management skills to set appropriate timelines.
Acquire industry knowledge in order to solve business questions.
Potential for machine learning, optimization analysis, simulations research, geospatial statistics and a growing number of advanced analytic topics.
Requirements:
Must be authorized to work in the United States without sponsorship now, or in the future.
Must be working towards masters degrees or a PhD in quantitative disciplines such as Data Science, Operations Research, Statistics, Business Analytics or other similar degrees.
Experience with predictive modeling.
Experience programming with Python or R.
Experience with Github.
CompensationThe listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:-BenefitsOur company’s success is due to our employees’ dedication and passion for their work. They are our greatest asset. That’s why we are committed to offering employees and their families a comprehensive benefits package and award-winning well-being programs. By helping our employees achieve their full potential, we unlock our own. Visit https://www.thehartford.com/careers/benefits for details.Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/AgeStudent Intern - HHSIAN


Principal Data Scientist Machine Learning

Pizza is at the heart of our communities. From birthday parties to gameday potlucks, life’s special moments are bettered by the craftsmanship and tradition found behind local pizzerias’ counters. We’re here to make sure these iconic small businesses serve our communities for generations to come by giving them the digital tools and services commonly found at big chains. Can you imagine what a small mom and pop pizza shop could achieve with the resources of Domino’s?
The Role
Data at Slice is a centralized group reporting directly to our CEO and founder.
You will be joining a fast growing ML Data Science team for a leading marketplace technology start-up. In this role, you will develop and implement machine learning algorithms and build product features that directly impact our customers. You will partner closely with our product, and engineering stakeholders to open up new opportunities and accelerate the growth of the business. Your strong foundations in machine learning, statistics, and programming as well as exceptional communication and leadership skills will help shape our data strategy.
What you'll do

Partner closely with Product teams on developing product roadmaps and leveraging Machine Learning techniques to curate a better user experience and drive business results
Work with Engineering teams to build the infrastructure and processes to productionise and iterate ML models
Collaborate with other Data teams on solidifying the data foundation of Slice, including event logging, experimentation, data modelling, pipelining, etc

What we are looking for

Graduate degree in Computer Science, Mathematics, Operations Research or equivalent quantitative fields. PhD preferred
6+ year of total work experience in the industry
4+ years of industry experience in machine learning using mainstream languages such as Python, R, etc
3+ years practical experience delivering production deployed solutions
3+ years experience extract/transform/load large, structured data sets
Experience in partnering with product and engineering teams in developing production-level code to deliver ML-backed product features
Experience in search and recommendation products a plus
Impeccable communication skills and ability to share complex, uncertain results to an executive audience

About Slice:
Slice powers independent pizzerias with the specialized technology, data insights, and shared services they need to serve today’s digital-minded customers. This united network of pizzerias enables these small businesses to thrive against major corporate chains and form the nation’s largest marketplace for authentic pizza. Slice makes it easy for customers to order from their go-to shops and discover their next favorite.
Serial tech entrepreneur Ilir Sela started Slice to solve the digital challenges his family’s New York City pizzerias faced. Today, the Slice team has grown to over 700+ across 5 offices globally. If you’re ambitious, interested in growing your career, and hungry to join one of the fastest growing companies in tech, we may have a role for you. Check out a few awards we’ve recently won for our workplace and culture: Inc., Crain's, BuiltinNYC
Slice is an Equal Opportunity Employer and is committed to building an inclusive environment for people of all backgrounds and everyone is encouraged to apply. We do not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law.


Product Data Scientist Senior And Staff Levels

At Mozilla, we want to make products that keep the Internet open and secure for all. We collect terabytes of data a day from millions of users to guide our decision-making processes. We could use your help.
As a Product Data Scientist, you will work closely with the product and marketing organization. You are an inquisitive thinker who is keen to practice full-stack data science, with experience ranging from designing and engineering data extraction processes to finding patterns and anomalies in data through analytical techniques.  You have strong interest in honing your technical skills further on real-world data.  You believe that data science can lead to insights that can guide the future of Mozilla. You will apply your expertise in quantitative analysis, statistical modeling, and data visualization to see beyond the numbers and understand how our worldwide community experiences our products.
The Role
As a Data Scientist at Mozilla:

You help design and analyze experiments to understand ecosystems, user behaviors, and long-term trends.
You build key data sets to empower operational and exploratory analysis.
You advocate for standard methodologies across the organization.
You own the definition, evaluation and reporting of key product metrics.
You communicate narratives with data to many audiences, ranging from product managers to technical leads.
You sit at the intersection between product, marketing, engineering, and leadership to inform, influence, and help execute our product strategy.

Your Professional Profile

You lead with empathy. You value teamwork and teammates. You are invested in knowledge sharing and learning from others. You contribute positively and meaningfully to cultivate an inclusive and equitable team culture.
Ideally, you have prior experience with Internet data or any large, high-dimensional data set.  Experience comes in all forms and personal projects count.  We’ll be especially excited if you have worked end-to-end on a data-intensive project on a level that you’d see in a graduate degree program in a quantitative or analytical discipline.
You have practice with extracting data from a variety of sources using SQL or SQL-like tools as well as have performed statistical modeling using Python or R.  You also desire to gain further technical experience on the job.
You have experience concisely presenting results (e.g. through report-writing or presentations) and are comfortable explaining technical concepts to non-experts.
You have a keen interest in telling stories with data visualizations and building impactful, insight-driven narratives.
You consider contributing to a collaborative and open team culture an important responsibility.

About Mozilla
Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.
Commitment to diversity, equity, inclusion, and belonging
Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission.  We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities and expressions.
We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccomodation@mozilla.com to request accommodation.
We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws.  Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.
Group: D
#LI-REMOTE


Data Scientist

Olive is changing healthcare by bringing solutions to all members of the healthcare space: patients, providers, and payers.  Olive drives connections across the three sides of the market, shining a new light on the broken processes that stand between providers and patient care. Olive leverages AI and direct-from-source data to reveal life-changing insights that make healthcare more efficient, affordable and effective. Olive is connecting the entire healthcare system, so we can all have a healthier tomorrow.Olive is empowering patients to take control of their healthcare.  By building a patient-first experience, Olive's app will put their own health, finances, and care into the palm of each patient's hand.  Whether you're responsible for yourself, your family, or your parents, Olive wants to help you make confident and informed choices.  We are at the beginning of a journey to transform the patient experience.  The first step in this journey is to  improve one of the worst parts of the patient experience.  Olive is taking on the financial side of healthcare--and making it simple, transparent, and effortless.  And we're looking for passionate, driven teammates to join us.Responsibilities: Develop models to improve the patient payment experience, bringing confidence, security, and informed decisions to the patient Developing proofs of concept Testing, assessing, and choosing models among competitors Pushing models to a staging environment for testing Pushing models into production Monitoring models in production Updating models as needed to improve performance   Understand and maintain data pipelines from raw sources to feature stores for models Communicate within the team on project status / blockers to get help when needed and render aid when able Adhere to security and data protection policies Lead technical discussions and mentor junior team members Communicate to stakeholders outside the team project status & risks Review processes and recommend changes to improve operations  Ability to collaborate with colleagues, management, and clients to solve complex problems Ability to deliver quickly, learn, iterate, and maintain machine learning products Data analysis, visualization, and communication Experience with machine learning operations Ability to complete work that is of high quality and documented for colleagues to onboard to the project Ability to collaborate with colleagues and colleagues to solve complex problems Ability to review code in a constructive and collaborative manner Experience and/or training equivalent to Masters in a Machine Learning-adjacent field Experience solving general problems with data Experience with machine learning operations Curiosity and a desire to explore, experiment, and learn Preferred Skills/Experience Nice to Have: SQL ( NoSQL nice-to-have) Python for data science (e.g. pandas, scikit-learn, keras, Tensorflow 2+, py/Flask, spacy and Numpy) Experience with object oriented programming preferred Version control for code (Git preferred) Experience with AWS preferred (e.g. Lambda, S3) Experience with cloud-based compute preferred (e.g. Databricks) Experience with Agile development, continuous integration, testing, deployment & release methodologies Familiarity with HIPAA and the importance of privacy of patient data is a bonus At Olive, we're committed to growing and empowering an inclusive community within our company and industry. This is why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives across our organization. Research shows that oftentimes women and other minority groups only apply to open roles if they meet 100% of the listed criteria. Olive encourages everyone — including women, people of color, individuals with disabilities and those in the LGBTQIA+ community — to apply for our available positions, even if they don't necessarily check every box on the job description.Disclaimer:This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned.This job description does not constitute a contract of employment and Olive AI, Inc. may exercise its employment-at-will rights at any time.We take the health and happiness of our employees seriously and consistently evaluate new ways to provide an amazing place to work. From retirement planning, to a wellness program designed to actively incorporate mental and physical wellness into daily interactions amongst fellow Olivians, we make sure to take care of our own.  Health, Dental, and Vision insurance that starts on your first day at Olive with 100% of premiums covered for team members and 75% covered for dependents Monthly Grid stipend to cover work related expenses Unlimited PTO Telemedicine EAP/Mental health resources Getaways by Marriott Bonvoy Family-building and fertility support via Kindbody 12 weeks of parental leave 401(K) match Wellness program Stock Options


Data Scientist Phd New Graduate

Position Overview:

Are you passionate about advanced analytics and data science? Do you describe yourself as an innovative problem solver? Looking for an opportunity that will directly impact the customer experience at goPuff? Come join the goPuff Data Science team and #ChangeTheGame.

goPuff is a high-growth startup that is revolutionizing hyper-local e-commerce. We warehouse and deliver thousands of products to your door super fast. We're currently operating in over 500+ cities within the US and expanding quickly.

Data Science at goPuff is really fun, we are super collaborative, really focused on business impact, and driving a better customer experience via machine learning solutions, modeling and causal inference. Our team is involved end-to-end on the delivery of those models: from deeply understanding our product and our users, to identifying opportunities to enhance the product with data driven solutions, to writing the model’s code and working with engineering on having that model used by different systems across our platform, to experimentally testing and evaluating the performance and impact of our models.

As a Data Scientist at goPuff, you’ll build and deploy machine learning models for all sorts of highly important use cases - including recommendation and personalization, predictive LTV, pricing optimization,  predictive inventory planning, operations optimization, etc. You will also drive changes that increase efficiencies and improve the customer experience. You’ll have the opportunity to make a huge impact on the future success of goPuff.

We’re looking for a doer, problem solver, and thought-leader.

Responsibilities

Collaborate with our business and engineering partners across the organization to deliver data science solutions for practical business problems. Work with the project leads and product managers to identify and scope new opportunities for data science projects
Deeply understand our users, our product, and our data to identify opportunities for machine learning, optimization and causal inference methods to deliver a better customer experience and make our business more efficient
Build data driven, robust and replicable data science models
Develop frameworks for evaluating and monitoring model performance
Use experimentation and causal inference to measure the impact of our models on user engagement and business metrics
Productionize and deploy models using cloud based tech stacks including Snowflake, Databricks, Azure, and Google Cloud.
Drive adoption of data products and data science solutions into the product planning process with team leadership
Identify gaps in existing data, create data product specs, and work with Engineering teams to implement enhanced data tracking
Partner with Analytics team members and other functions to share insights and best practices, ensuring consistency of data-driven decision-making throughout the org

Qualifications

PhD in operations research, economics, statistics, computer science, or another quantitative field
Hands-on experience applying descriptive statistics, machine learning, predictive modeling, and visualization techniques to solve challenging business problems
Coding in Python or similar programming language
Data querying skills in SQL
Excellent communication and presentation skills
Ability to explain technical concepts in simple terms to business stakeholders
Move fast, be a team player, always be learning and give back

At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes.

And now, we’re assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.

Like what you’re hearing? Then join us on Team Blue.

Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.


Staff Data Scientist Virtual Hq Slack

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryProducts and TechnologyJob DetailsWe are hiring an experienced data scientist for our Virtual HQ product team. This cross-functional team is building features within Slack to allow companies to be more productive while embracing a fully-remote or hybrid working model. This is the biggest opportunity to invent the future of work since we first launched Slack!Our Virtual HQ team recently launched Huddles, a way to recreate quick, informal conversations that would have happened in the office in Slack. We are also building new video and audio-based messaging features that are seeking to replace formerly synchronous, in-person processes and meetings.In this role, you will seek to understand how these features are being adopted and how they are shifting the nature of collaboration within Slack. You will help to establish the foundational analytics infrastructure for Virtual HQ. You will be a strong partner to PMs, Researchers, and Engineers as you work collectively to refine Slack’s strategy in this new area.Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. If this sounds like a good fit for you, why not say hello?What you will be doing
Apply various data science methods to understand the most meaningful aspects of our product, users, and business
Evangelize evidence-based decision making by partnering with key decision makers and driving general accessibility of data and insights
Organize disparate facts and findings into narratives that inform product strategy
Define and drive alignment around success metrics for new product areas
What you should have
5+ years of professional industry experience doing quantitative analysis. An advanced degree (MS, PhD) in a quantitative field (e.g. Computer Science, Economics, Physics) is a plus
A proven record of using data to drive product teams to achieve ambitious goals
Expert in at least one programming language for data analysis (e.g. Python, R)
Expert in designing and testing experiments
Experience with statistical and machine learning methods to build descriptive and predictive models
Experience working with data technologies that allow effective storage and analysis of large amounts of data (e.g. Spark, Presto, Hive, etc)
Experience working on video and audio-based products is a plus
For Colorado-based roles: Minimum annual salary of $142,400. You may also be entitled to receive bonus, restricted stock units, and benefits. More details about our company benefits can be found at the following link: https://www.getsalesforcebenefits.com/AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org.Salesforce welcomes all.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.


Senior Data Scientist Slack Connect

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryProducts and TechnologyJob DetailsWe are hiring an experienced data scientist for our Slack Connect product area. This cross-functional team focuses on building features connect users and teams across organizations to enable productive and proficient cross-company collaboration. Slack Connect has been a huge success since its initial launch! A full stack Data Scientist is welcome to join this fast growing team to contribute to the dream of enabling our customers to collaborate efficiently and safely across organizations in a friction free way.In this role, you will seek to understand how Slack Connect features are being adopted and how they are shifting the nature of collaboration within Slack. You will help to establish the foundational analytics infrastructure for Slack Connect. You will be a strong partner to PMs, Researchers, and Engineers as you work collectively to refine Slack’s strategy in this strategic area.You will also inform and influence decisions using data and research by crafting our findings into narratives and partnering with key decision makers within and across product pillars. You will have a unique opportunity to partner with world class researchers with varying backgrounds, including user researchers, market researchers, and survey scientists to uncover user experience gaps and opportunities.Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. If this sounds like a good fit for you, why not say hello?What you will be doing
Apply various data science methods to understand the most meaningful aspects of our product, users, and business
Evangelize evidence-based decision making by partnering with key decision makers and driving general accessibility of data and insights
Partner with data engineering org to design and build slack connect data and metrics structure
Organize disparate facts and findings into narratives that inform product strategy
Define and drive alignment around success metrics for slack connect and provide data informed target setting
What you should have
3+ years of professional industry Data Science or Analytics experience, ideally within a consumer facing technology industry
An advanced degree (MS, PhD) in a quantitative field (e.g. Computer Science, Economics, Physics) a plus
A proven record of using data to drive product teams to release new features and achieve ambitious goals
Expertise in at least one programming language for data analysis (e.g. Python, R)
Expertise in designing and deep-diving experiments to guide product launch decisions
Experience using statistical and machine learning methods to build descriptive and predictive models
Experience working with data technologies that allow effective storage and analysis of large amounts of data (e.g. Spark, Presto, Hive, Hadoop, etc)
Experience in building advanced data pipelines and designing data scheme and table infrastructure
Strong written and verbal communication skills
Experience working in fast changing tech development environment
Experience collaborating with and influencing cross functional partners
For Colorado-based roles: Minimum annual salary of $121,800. You may also be entitled to receive bonus, restricted stock units, and benefits. More details about our company benefits can be found at the following link: https://www.getsalesforcebenefits.com/AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org.Salesforce welcomes all.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.


Staff Data Scientist Expansion Slack

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryProducts and TechnologyJob DetailsWe are hiring an experienced data scientist for our Expansion product team, a cross-functional team that builds foundational product experiences to help teams become successful on Slack. Our team focuses on the critical moments within the team’s lifecycle: creating and joining workspaces, in-product education, growing the number of users on Slack, and purchasing & billing.In this role, you will inform and influence decisions using data and research by crafting our findings into narratives and partnering with key decision makers within the company. You will be a strong partner to researchers with varying backgrounds, including user researchers, market researchers, and survey scientists.Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative. If this sounds like a good fit for you, why not say hello?What you will be doing
Apply data science methods to understand the most meaningful aspects of our product, users, and business
Organize disparate facts and findings into powerful narratives that have the broadest possible application within Slack
Evangelize evidence-based decision making by partnering with key decision makers and driving accessibility of data and insights
What you should have
5+ years of professional industry Data Science or Analytics experience, ideally within a consumer facing technology industry
An advanced degree (MS, PhD) in a quantitative field (e.g. Computer Science, Economics, Physics) a plus
A proven record of using data to drive product teams to release new features and achieve ambitious goals
Expertise in at least one programming language for data analysis (e.g. Python, R)
Expertise in designing and testing experiments
Experience using statistical and machine learning methods to build descriptive and predictive models
Experience working with data technologies that allow effective storage and analysis of large amounts of data (e.g. Spark, Presto, Hive, Hadoop, etc)
For Colorado-based roles: Minimum annual salary of $142,400. You may also be entitled to receive bonus, restricted stock units, and benefits. More details about our company benefits can be found at the following link: https://www.getsalesforcebenefits.com/AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.Posting StatementAt Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org.Salesforce welcomes all.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.


Data Scientist Data Science And Analytics

QuestBridge is a national nonprofit program that connects outstanding low-income students with educational opportunities that can change their lives, as well as the demographics of our nation’s leading educational institutions.
The Data Scientist position offers a unique opportunity for someone passionate about bringing their data and technical experiences to enhance educational programs and contribute to the growth of a far-reaching entrepreneurial social venture. Reporting to the Director of Data Science and Analytics (DSA), this person will lead, manage, and execute on data-related operations and initiatives, often working across multiple teams at QuestBridge.
Our Data Scientist will have the opportunity to collaborate with program, data, and engineering team members across other departments for thought partnership, feedback, and growth. In addition to technical experience, this position has a strong focus on rigor, communication, project management, and systems-thinking. If you will enjoy applying your skills to data projects that fuel QuestBridge’s mission, we look forward to reviewing your application!
Role and Responsibilities
Success of this role is defined by achieving the following:

Accurate and efficient implementation of tools, models, and other data operations related to our College Programs, College Partnerships, and other programmatic efforts across QuestBridge
Improvements in QuestBridge’s data consistency, accuracy, and usage
Detailed understanding of the limits and potential of QuestBridge data
Detailed understanding of data used in all analytics projects (including visualizations that help others gain clarity for decision-making)
Well-documented code that others can easily reuse and/or build upon
Timely and relevant analyses and reports for operational use
Completion of complex reporting and analysis requests
Creation and maintenance of documentation of QuestBridge data and data processes
Ability to support data-related operational tasks across the organization
Travel to events to interact and support students and apply these experiences to continuously improve programming
Read and evaluate student applications for the College Prep Scholars Program, National College Match, and other various opportunities
Other duties, as assigned

Minimum Qualifications

Relevant work experience or training of at least 4 years
Demonstrated experience working in a centralized role that requires collaboration with many teams across a given organization
Experience leading a project from ideation to implementation
Previous success in leading data initiatives for impact (scoping, managing stakeholders, visualization, insights, improved decision-making)
Ability to leverage best coding practices to conduct data cleaning, data wrangling, analyses, and build data products

Familiarity with some or all of the following:

SQL
Python (Pandas, Scikit Learn, etc.)
R
Git
Statistics
Functional programming

Exceptional attention to detail, with ability to maintain focus on the larger picture
Strong written, and verbal communication skills
Ability to manage multiple projects from start to finish (organizing bandwidth, workflows, and multiple deliverables for on-time delivery) in fast-paced environments
Ability to incorporate feedback
Track record of taking initiative
Passion for QuestBridge’s mission

Preferred Qualifications

Master’s Degree in Computer Science, Statistics, Economics or another quantitative field
Experience working with data in the education sector
Track record of producing analyses that result in meaningful decision-making
Experience increasing efficiency of processes, and automation of analyses and reporting
Experience using CRM platforms and application
Experience with using data science and machine learning techniques to help teams and organizations better serve their constituents

Compensation
Competitive compensation is commensurate with experience and skills for the position.
Hours and Location of Work
This is a full-time position remote within the US. Employees will be expected to be engaged online and travel approximately once per quarter.
Application Process
Please include a thoughtful cover letter with your application, and a sample of past data-related projects and any relevant code from the project. Apply Now!
Thank you for your interest in employment with QuestBridge. QuestBridge is an equal opportunity employer.


Data Scientist Ii Algorithmic Justice Specialist

ABOUT THE JOB
The ACLU seeks applicants for the full-time position of Data Scientist II- Algorithmic Justice Specialist in the Analytics Department of the ACLU’s National office in New York, NY/ Remote*.
ACLU Analytics partners with teams across the organization to enable the ACLU to make smart, evidence-based decisions and bring quantitative insights on our issues to the courtroom and the public. Our team's work ranges from social science research for litigation & advocacy, to analysis & reporting for fundraising and engagement, to building and maintaining our data infrastructure. We strive to ensure the ACLU leads by example in the ethical use of data and technology. This includes maintaining our privacy and security standards, pushing for transparent data practices from government and corporate actors, and helping to steward high standards for algorithmic fairness, accountability, and transparency.
Reporting to the Director, Legal Analytics & Quantitative Research, the Data Scientist II- Algorithmic Justice Specialist will be a be part of the Legal Analytics & Quantitative Research team, and work with team members across Analytics as well as stakeholders on our Legal and Policy teams, and in the ACLU affiliates. You will also collaborate closely with other Data Analysts, Data Scientists and Data Journalists on the Analytics team.
* Note: this position can function remotely from a U.S. location on an interim basis and may be eligible for permanent remote work from a location within the U.S.
RESPONSIBILITIES
Below is a sampling of projects you can expect to dive into:
Evaluate algorithms and predictive models using a range of techniques to assess their impact on marginalized communities, especially but not limited to disparities based on race, gender, sexuality, disability status, immigration status, income, and housing status
Analyze disparities in policing, housing, criminal law enforcement, employment, and education, sometimes in contexts where algorithms are used or considered, and sometimes in contexts where they are not
Review local, state and federal policies and legislation related to data, algorithms, and predictive analytics, and provide recommendations from a technical lens on how to make those policies more fair, transparent, and accountable
Submit FOIA requests to obtain data and models from jurisdictions using predictive analytics for further analysis
Build models that "flip the script" on decision-makers to evaluate judges, prosecutors, and other players to identify bias in the criminal justice and immigration systems
Identify new areas of opportunity for algorithmic justice work
Engage in special projects and other duties as assigned
Center principles of equity, inclusion, and belonging in all work, embedding the values in program development, policy application, and organizational practices and processes
EXPERIENCE & QUALIFICATIONS
Extensive experience conducting descriptive analysis and using or evaluating predictive models in a research or applied setting
Experience evaluating the ethics of algorithm scoping, development, testing and/or deployment in a research or applied setting
Mastery in R or Python, and ability to rapidly learn new frameworks and methodologies
Ability to distill complex quantitative results and methodologies into plain language for lawyers, advocates, judges and the public
Familiarity with modern methods for assessing fairness in predictive models
Experience acting as a technical mentor or guide to junior colleagues and interns (e.g., acting as primary code reviewer in a team setting)
Commitment to the mission of the ACLU
Demonstrate a commitment to diversity within the office using a personal approach that values all individuals and respects differences in regards to race, ethnicity, age, gender identity and expression, sexual orientation, religion, disability and socio-economic circumstance
Commitment to work collaboratively and respectfully toward resolving obstacles and/or conflicts
PREFERRED QUALIFICATIONS
Knowledge of concepts such as AI/ML auditing, algorithmic impact assessments, explainability, transparency, recourse, robustness, human-ai interaction, and/or other topics in the AI ethics domain
Experience with algorithmic decision-making systems or predictive analytics in a governmental or industry setting
Experience conducting causal inference using natural experiments, administrative data, or other observational methods
Experience with criminal justice, immigration, or other public sector data
COMPENSATION
The annual salary for this position is $115,638 (Level F). This salary is reflective of a position based in New York, NY. This salary will be subject to a locality adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. Note that most of the salaries listed on our job postings reflect New York, NY salaries, where our National offices are headquartered.
ABOUT THE ACLU
The ACLU dares to create a more perfect union – beyond one person, party, or side. Our mission is to realize this promise of the United States Constitution for all and expand the reach of its guarantees.
For over 100 years, the ACLU has worked to defend and preserve the individual rights and liberties guaranteed by the Constitution and laws of the United States. Whether it’s ending mass incarceration, achieving full equality for the LGBTQ+ community, establishing new privacy protections for our digital age, or preserving the right to vote or the right to have an abortion, the ACLU takes up the toughest civil liberties cases and issues to defend all people from government abuse and overreach.
Equity, diversity, and inclusion are core values of the ACLU and central to our work to advance liberty, equality, and justice for all. We are a community committed to learning and growth, humility and grace, transparency and accountability. We believe in a collective responsibility to create a culture of belonging for all people within our organization – one that respects and embraces difference; treats everyone equitably; and empowers our colleagues to do the best work possible. We are as committed to anti-oppression and anti-racism internally as we are externally. Because whether we’re in the courts or in the office, we believe ‘We the People’ means all of us.
The ACLU is an equal opportunity employer. We value a diverse workforce and an inclusive culture. The ACLU encourages applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, citizenship, disability, veteran status and record of arrest or conviction, or any other characteristic protected by applicable law. Black people, Indigenous people, people of color; lesbian, gay, bisexual, transgender, queer, and intersex people; women; people with disabilities, protected veterans, and formerly incarcerated individuals are all strongly encouraged to apply.
The ACLU makes every effort to assure that its recruitment and employment provide all qualified persons, including persons with disabilities, with full opportunities for employment in all positions.
The ACLU is committed to providing reasonable accommodation to individuals with disabilities. If you are a qualified individual with a disability and need assistance applying online, please email benefits.hrdept@aclu.org. If you are selected for an interview, you will receive additional information regarding how to request an accommodation for the interview process.
The Department of Education has determined that employment in this position at the ACLU does not qualify for the Public Service Loan Forgiveness Program.


Senior Staff Data Scientist Product Health Team

The Position
Defending the health and integrity of the public conversation is Twitter’s top priority. The Health Data Science Team partners with Product, Engineering, and Policy to rigorously understand and quantify Twitter's highly complex and adversarial Health space and use this understanding to empower the Health Organization to better protect our users.
As a Data Scientist on the Health Data Science Team you will:
Leverage data to identify unwanted interactions, violations of Twitter’s policies, misinformation, and other platform abuse then mitigate those issues with models or quantitatively driven product changes. Design, implement, and analyze experiments to determine how new models or products improve the health of the platform. Conduct analyses to better understand the determinants of the health and integrity on Twitter. Use this understanding to suggest product improvements. Create accurate and statistically sound summary metrics to evaluate the performance of Health related products and motivate teams’ targets/KRs.Communicate findings to executives and cross-functional teams.Review other data scientists’ code and results to foster a culture of rigorous analysis and constructive feedback. Help set the team direction by driving cross-functional alignment on projects and priorities.
Qualifications
Advanced degree in a discipline that uses statistical analysis or mathematical modeling and 4+ years of work experience (or 7+ years of total work experience).Experience measuring and mitigating consumer products’ vulnerability to manipulation and subversion.Experience with one or more of the following in an applied business setting: experimental design and analysis, quasi-experimental analysis, and machine learning.Track record for executing projects and leading complex, multi-functional projects with several dependencies, including Legal and Policy teams.Strong proficiency with Python / R and SQL; familiarity with Spark.Experience mentoring junior data scientists.
Additional Information
We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran, genetic information, marital status or any other legally protected status.
San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.


Data Scientist

The Position
Who We Are:
The team is responsible for placing each and every ad that Twitter serves. While placing those ads we decide how best to balance user experience, advertiser results, and Twitter revenue. Our team optimizes supply/demand, operation points and trade-offs for the ads marketplace, as well as improve product outcomes by applying data science.
What You’ll Do:
We’re looking for a key individual contributor to drive our advertising products forward. We decide which ads to serve billions of times a day under a sub-second setting. You will ship new features and optimize existing products. You will perform rigorous analysis, understand our advertising products, experiment, make data-driven decisions, optimize for impact, and measure performance funnels.
Your team will empower you with the autonomy to make good product decisions and discover/understand the software and product stack. You’ll own significant projects end-to-end. The small teams of talented, passionate people in which you’ll work will include engineers and data scientists from across the revenue engineering organization. We work on every high-priority ads project at Twitter.
Qualifications
2+ years of work experience in data-driven analytics/predictive analytics/statistical modeling/machine learning/data mining.2+ years of experience in Python or R2+ years of experience with A/B testing and ExperimentationExperience using data intelligently to optimize product performanceGood understanding of how to grow and shape data tools and datasets to improve data-driven decision makingAbility to thrive in an unstructured environment, working autonomously on a strong team to find opportunities and deliver business impact
Bonus points:
Past experience in Ad-techExperience building ML modelsPhD or MS in computer science, machine learning, or statisticsGood understanding/experience of (one or more of the following): Java, Scala, or C++Interesting side projects or Kaggle competition results
Company Description
Twitter serves the public conversation by encouraging people all over the world to connect, learn, debate, and solve problems together. We believe conversation can change the world, and that’s why Tweeps (that’s what we call Twitter employees) come to work every day.
Additional Information
We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.