Data Scientist

Data Scientist
The Opportunity:
As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need a seasoned data scientist like you to help find the answers in the data.
On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide and mentor your team as you oversee the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. As a technical leader, you’ll identify new opportunities to use data science solutions to help your clients meet their toughest challenges. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.
Work with us as we use data science for good.
Join us. The world can’t wait.
You Have:
8+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining8+ years of experience with statistical and general-purpose programming languages for data analysis8+ years of experience analyzing structured and unstructured data sourcesExperience developing predictive data models, quantitative analyses and visualization of targeted data sourcesExperience leading a team with projects and deliverablesExperience leading the development of solutions to complex programsExperience with natural language processing, text mining, or machine learning techniquesSecret clearanceBachelor’s degree
Nice If You Have:
Experience with the development of algorithms leveraging R, Python, or Structured Query Language (SQL) and NoSQLExperience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL Experience with Machine Learning, Artificial Intelligence or Natural Language ProcessingExperience with visualization packages, including Plotly, Seaborn, or ggplot2TS/SCI clearance with a polygraph
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full time and part time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs, individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits.
Salary for this position is determined by various factors, including but not limited to, location, the candidate’s particular combination of knowledge, skills, competencies and experience, as well as contract specific affordability and organizational requirements. The proposed salary range for this position is outlined below.
Colorado: $135,000 - $150,000 (annualized USD)
New York (including New York City): $140,000 - $160,000 (annualized USD)
Create Your Career:
Grow With Us
Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.
A Place Where You Belong
Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll develop your community in no time.
Support Your Well-Being
Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.
Your Candidate Journey
At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us.
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.


Data Scientist And Engineer

Data Scientist and Engineer
The Opportunity:
As a Data Scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a Data Scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data.
On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.
Work with us as we use data science for good.
Join us. The world can’t wait.
You Have:
5+ years of experience designing, modifying, developing, writing, and implementing software programming applications using agile methods5+ years of experience developing data science solutions in Python, Julia, R, or JavaExperience with administration of continuous integration and deployment of CI/CD pipelines using Jenkins, or GitHub actionsExperience with approaches and tools for automated testing and monitoringExperience with Tableau or Qlik integrationKnowledge of object-oriented design principles and design patterns such as GoFSecret clearanceBachelor's degree in Data Science, Data Engineering, Applied Mathematics, Computer Science or Engineering
Nice If You Have:
Experience with C#, C/C++, .NET, JavaScript, React, NodeJS, PHP, SQL/NoSQL or DrupalExperience developing statistical and simulation modelsExperience with one of the following, Reliability, Availability, Maintainability and Safety (RAMS) analysis, Statistical Process Control, Metrology, or Diagnostics Prognostics and Health Management (DPHM)Master's degree in Data Science, Data Engineering, Applied Mathematics, Computer Science or Engineering
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation:
At Booz Allen, we celebrate your contributions, provide you with opportunities and choice, and support your total well-being. Our comprehensive benefit offerings include healthcare, retirement plan, insurance programs, commuter program, employee assistance program, paid and unpaid leave programs, education assistance, and childcare benefits.
The salary for this position will be determined based on various factors. The proposed salary range for this position in Colorado is 101,000 to 121,000.
Create Your Career:
Grow With Us
Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.
A Place Where You Belong
Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll develop your community in no time.
Support Your Well-Being
Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.
Your Candidate Journey
At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us.
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.


Lead Data Scientist

Description
The Experience Center is transforming Humana into a human-centered, tech-driven company. We are accomplishing this by developing experience-first healthcare software rapidly, flexibly and iteratively. We are a technology incubator for the company and are expanding our capabilities by integrating Data Engineering and Data Science into the balanced team model. The Data Scientist will work with software engineers, product designers, and product managers to identify, validate, and adopt new technologies, tools, and practices, and turn these into human-centered experiences.
The Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Data Scientist work assignments involve moderately complex to complex
Read more about this job


Lead Nlp Data Scientist

Description
Humana is seeking a Lead Data Scientist who has extensive experience with Natural Language Processing (NLP). The ideal candidate will have experience developing NLP models with transformer architecture and preferably have experience with Hugging Face. This is your opportunity to join our Fortune #40, Best Places to Work company and help us make a difference as we help our members achieve their best health!
Responsibilities
The Lead NLP Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Lead NLP Data Scientist works on problems of diverse scope and complexity ranging from moderate
Read more about this job


Lead Data Scientist Marketing

Description
Humana is a Fortune 60 market leader in integrated healthcare whose dream is to help people achieve lifelong well-being. As a company focused on the health and well-being of the people we serve, Humana starts from within, and is committed to providing progressive benefits that advance the employment experience and vitality of the associate community. Through offerings anchored in a whole-person view of human well-being, Humana embraces a focus on stimulating positive individual and population changes while nurturing a sense of security, enabling people to live life fully and be their most productive.
Against that backdrop Humana is building a best-in-class Consumer Marketing organization to drive profitable membership growth
Read more about this job


Data Scientist

Description
Humana’s Clinical Strategy and Analytics (CSA) Team is seeking a Data Scientist 2 (Remote).
Healthcare is rapidly changing, and our members are living longer, often with more chronic conditions. The Clinical Strategy & Analytics team identifies clinical saving opportunities and enables clinical solutions through an evidence-based approach using data science, clinical and business expertise, and rigorous study designs to improve health outcomes and lower costs for millions of senior lives. In this multi-disciplinary team, you’ll have the opportunity to work closely with decision-marking executives and clinicians to shape Humana’s enterprise clinical strategies and initiatives.
The Data Scientist 2 uses statistics, machine learning, business analysis, and technology to transform high
Read more about this job


Data Scientist

There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before! Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW.
John Deere is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to, among other things, race, religion, color, national origin, sex, age, sexual orientation, gender identity or expression, status as a protected veteran, or status as a qualified individual with disability.
Primary Location: United States (US) - Illinois  - Chicago  Function: Data & Analytics (CA)Title: Data Scientist - REMOTE - 92481 Onsite/Remote:Remote Position
 This position is eligible for remote work at the present time. The arrangement may be delayed for training or other job acclimation purposes and remains subject to change.
Visa sponsorship is NOT available for this position.
Your Responsibilities
As a Data Scientist within the Enterprise Aftermarket Data & Analytics Organization, you will execute data science projects which drive aftermarket growth and an improved customer experience over the lifetime. Applied techniques are expected to include statistical analysis, predictive modeling, forecasting, data visualization, and machine learning. More specifically, you will follow the Aftermarket Analytics Delivery Process to:
Collaborate with business and analytics stakeholders to investigate business needs, identify opportunities for analytics to provide value, and convert abstract concepts into data science solutionsQuery and manipulate complex datasets to prepare data for analysisDevelop data products such as statistical analyses, dashboards, and models which deliver actionable value to stakeholdersLead code review, validation, and design review activities to ensure and demonstrate high-quality outputParticipate in strategic roadmap planning and assist in defining project proposals and scopeCommunicate results at multiple levels of technical detail to various stakeholders
VISA Sponsorship is NOT Available for this position
What Skills You Need
2 or more years of experience with a statistical programming language (R, Python or similar) 2 or more years of experience of advanced SQL programming2 or more years of experience with a business intelligence visualization tool (e.g. Tableau) 2 or more years of experience working with data, database design, administration and performanceSkill in interpersonal communications and ability to communicate complex topics to non-technical audiences
What Makes You Stand Out
Experience using SparkExperience using DatabricksKnowledge of dealers, products, customers, markets, and companies in the heavy equipment industryAdvanced understanding of dealer channel aftermarket processes, digital solutions, and metrics  MS degree
Education
Ideally you will have a degree or equivalent related work experience in the following:
BS degree or equivalent experience in a related career field
What You'll Get
At John Deere, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. Additionally, we offer a comprehensive reward package to help you get started on your new career path, including:
Flexible work arrangementsHighly competitive base pay and performance bonusesSavings & Retirement benefits (401K and Defined Benefit Pension)Healthcare benefits with a generous company contribution in the Health Savings AccountAdoption assistanceEmployee Assistance ProgramsTuition assistanceFitness subsidies and on-site gyms at specific Deere locationsCharitable contribution matchEmployee Purchase Plan & numerous discount programs for personal use
Click Here to find out more about our Total Rewards Package.
The information contained herein is not intended to be an exhaustive list of all responsibilities and qualifications required of individuals performing the job. The qualifications detailed in this job description are not considered the minimum requirements necessary to perform the job, but rather as guidelines.
The terms of the applicable benefit plans, and all company actions administering or interpreting these plans, continue to control. Deere & Company reserves the right to suspend, amend, modify, or terminate the Plan(s) in any manner at any time, including the right to modify or eliminate any cost-sharing between the company and participants. Changes, which can be made at any time, are made by action of the company's board of directors, or to the extent authorized by resolution of its board of directors, or by the Deere & Company Compensation Committee. In the event of a conflict between the language of the official Plan Documents and this document, the language of the official Plan Documents will control.
ACA Section 1557 Nondiscrimination Notice
The John Deere Health Benefit Plans for Salaried Employees and The John Deere Benefit Plan for Wage Employees comply with applicable Federal civil rights laws and do not discriminate on the basis of race, color, national origin, age, disability, or sex.


Senior Data Scientist

Your role as the Senior Data Scientist is to support stakeholders through data science techniques and building the solutions for the business’s key initiatives. In addition, you will synthesize and leverages the business’s dataset and data to enhance the business capabilities for overall goal achievement. You will be helping the business to continue its evolution into a data-driven culture and will apply and inspire the adoption of advanced data science across the business. You will report to the Data Science Manager and work closely with the Marketing, Sales, and Customer Success organizations.
In this role, you will:
Use data to make sense of complex buyer journeys. Analyze how customersnavigate our marketing websites and identify opportunities for improvementAnalyze company data to answer business questions, discover insights, preparesegmentation and describe patternsApply advanced statistical techniques and causal inference methods to design andanalyze web experimentations (i.e. A/B testing, quasi-experimentation, statisticaltests, Bayesian experimentation, etc.)Apply creative analytical problem-solving skills to a wide variety of sales/marketingquestions to deepen our understanding of campaign & funnel effectiveness,customer journeys, and go-to-market performanceAssist the business and management team in the decision making process usingdata analysisUnderstand business strategy and high-level roadmap and align analysis efforts toenable them with data insights and help achieve their strategic goalsCrafting, delivering and owning performance monitoring dashboards that guideunderstanding of how the business is performing today and where it may go next
About you:
5+ years hands-on experience in analytics working with large, complex, andmultifaceted data setsB.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, and/orEngineering SciencesComfortable managing multiple projects, competing priorities, and an evolvingroadmapExperience working with cleaning, manipulating, and visualizing dataExcellent communication and presentation skills and proven ability to translate datainto actionable insightsExcellent interpersonal skills, with a consistent record of working across all levels ofthe organisationTeam player who understands the collaborative nature of this work with the ability toinfluence at C-suite level in a cross-functional environmentExperience using the following software/tools: Relational Databases, including PostgresData pipeline and workflow management tools as AirflowAWS cloud services: RDS, RedshiftR or Python experience would be a plus but not required
It would be awesome if you had but not a must:
Experience in B2B; Advanced degree e.g. Masters;Experience with statistical inference and causal inference techniques.
Company Overview:
PandaDoc empowers more than 30,000 growing organisations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more.  For more information, please visit https://www.pandadoc.com.
Company Culture:
We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.
Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers.
Check out our LinkedIn to learn more.
Benefits:
Our benefits include tremendous career growth opportunities, a competitive salary, health and commuter benefits, company paid life & disability, 20+ PTO days, 401K and FSA plans, and of course, a fun team of Pandas to work with!
PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.


Data Science Analytics Leader Member Product

At Netflix, we are always on our way to bringing even more joy to members around the world. Within Product, we have a very high velocity in innovations in the core member experience and we never stop challenging ourselves and are constantly thinking about connecting with our members in new ways or even in new domains!
Member Product DSE is at the forefront of these innovations with a mission to relentlessly improve Netflix member interactions by surfacing insights, and identifying, incubating & enabling product innovations leveraging data, analytics, experimentation & modeling.
We are looking for a data science leader to join our group to lead a sub-team focusing on consumer algorithm innovations. You will support a team of talented data scientists, work closely with our engineering partners and product leaders, and co-drive algorithmic innovations that power our member product interactions.
What we are looking for:
You have a deep technical background in applied data science, spanning some or all of: Statistics, Experimentation, Machine Learning, Causal Methods, and Behavioral Analytics. You likely have a M.S. or Ph.D. in a quantitative field such as Mathematics, Computer Science, Statistics, Artificial Intelligence, Machine Learning, Physics, Operations Research, etc.You have experience and demonstrated success in leading and building high-caliber, data-focused teams with diverse technical strengths.You are impact-driven and demonstrated success influencing the business by establishing roadmaps and vision for new and existing areas. You are skilled at operating in a complex, cross-functional organization or company where collaboration and integration with other teams across multiple disciplines are essential to the success of your team.You have exceptional communication skills, especially when partnering with engineering & business stakeholders to drive impact and shape strategy.
Netflix culture
Netflix'sculture is an integral part of what makes us successful, and we approach diversity and inclusion seriously and thoughtfully. We are an equal opportunity employer and celebrate diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Data Scientist

Smartcar is on a mission to make it easy for everyone to use the apps and services they love with their car. We build developer-friendly APIs which makes it easy for businesses to integrate their products with vehicles of any brand using a single integration.

Founded in 2015, Smartcar has raised $36M from Andreessen Horowitz, New Enterprise Associates, and Energize Ventures. We are now the leading developer platform for mobility businesses across North America and Europe serving amazing customers including brands like British Petroleum (BP), Turo, NRG, and more.

Innovative mobility companies use our API platform to verify mileage, issue digital car keys, manage EV charging schedules, monitor fleets, and much more.

As Smartcar’s first Data Scientist you will build, track and maintain key performance metrics across engineering, product and marketing. Your valuable insights and research on Smartcar’s products and business will assist in our global expansion.

Feel free to check out what our interview process looks like.

All of our openings are remote within California, Texas, and New York. We’d love for you to join us!

Key Responsibilities

Be hands-on in improving Smartcar’s data quality, KPIs, and overall metrics in addition to creating and maintaining company dashboards
Work closely with cross-functional teams in Engineering, Marketing, Customer Success, and others across the company to advance Smartcar’s product and integrity
Identify the most impactful opportunities for product development based on user needs and recorded metrics — presenting these opportunities clearly to stakeholders
Partner closely with product, marketing, engineering, and sales to perform investigative research and provide actionable insights
Define the metrics and dashboards we use to measure the health and success of our products

Who You Are

3 - 8 years of demonstrated ability in a similar data scientist role
Proven track record as a Data Scientist calculating and aggregating data into dashboards and defining metrics
Experience with analysis, including crafting success metrics, and presenting findings with clear product recommendations or implications
Hands-on experience synthesizing insights from data into dashboards using tools such as SQL, Postgres, Redis, Excel/Sheets, Python
Experience in BI Tools: (Looker, Tableau, DOMO, etc.); Metabase experience is a plus
Strong interpersonal skills: ability to build strong relationships with colleagues as well as the ability to explain sophisticated topics in straightforward terms
Degree in data science, computer science, statistics, economics, mathematics, or a similar quantitative field is a plus

Manager
Sanketh Katta, Co-Founder & CTO & COO

Compensation and Benefits Package

Base salary determined by years of experience: $135,000 - $165,000
Equity
Remote work within CA, TX, or NY
Health, Dental and Vision covered at 90% for all plans and 80% coverage for dependents, which amounts to approximately $11,000 a year
401K matching at 4%
Unlimited PTO
Wellness stipend of $50 a month
Cell phone and Internet stipend of $50 a month
$300 yearly learning and development stipend
$350 work-from-home stipend
8 weeks of 100% paid parental leave with a 1-week half day ramp back time and a 5 week Freshly subscription
10 days of paid bereavement leave

Sponsorship
We do not currently support any new sponsorship opportunities or sponsorship transfers for this role

Recruiter For This Role
Steven Stone

Smartcar is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If you have a disability or special need that requires accommodation, please do not hesitate to reach out, in confidence, to mathilde@smartcar.com with how we can help make your interview process as comfortable as possible and how we can provide reasonable accommodations.


Data Scientist Forecasting Analytics

About Gusto
Gusto is a modern, online people platform that helps small businesses take care of their teams. On top of full-service payroll, Gusto offers health insurance, 401(k)s, expert HR, and team management tools. Today, Gusto offices in Denver, San Francisco, and New York serve more than 200,000 businesses nationwide.
Our mission is to create a world where work empowers a better life, and it starts right here at Gusto. That’s why we’re committed to building a collaborative and inclusive workplace, both physically and virtually. Learn more about our Total Rewards philosophy.
The Role:
Gusto is looking for a Data Scientist in our Revenue Operations analytics team. You will work cross-functionally with Data Science, Marketing and Sales to develop forecasts, and provide best-in-class revenue-impacting techniques that power the F&A activities.
It is expected that advanced methods, such as AI/ML, should form the core of our technological approach on par with industry-leading RevOps tools and platforms.
You will help build and develop ML/AI models that could enhance the Integrated RevOps Forecasting pipeline and provide next-best action recommendations capable of scaling to personalized lifecycle interventions. The role is to own and build these products with the support of immediate team members to build data models and assist in business-related requirements gathering etc, whilst working in cross-functional partnerships (e.g. with MarOps, SalesOps, marketing, DS) to deliver revenue-impacting results.
You will also have sufficient acumen to know how to implement the various checks and balances to ensure the highest quality of forecast data, including fallback methods for when data sources drift.
Compensation: Our cash compensation amount for this role is targeted at $134,000 - $153,000/year in Denver & most remote locations, and $162,000 - $177,500/year for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
Here’s what you’ll do day-to-day:

Develop statistical and machine learning models on large and noisy datasets to build robust revenue forecasting methodologies and provide diagnostic insights into the causes of data trends and anomalies.
Support RevOps analytics activities by conducting statistical analysis and hypothesis testings leveraging multiple data sources
Apply latest advances in causal inference (particularly on time series data) to provide ad-hoc causal analysis of interventions and next-best actions frameworks.
Work closely with data scientists to evaluate and implement a range of supporting models, such as LTV predictions, Propensity Models, causal analysis, etc.
Adopt best practices to develop, implement, and manage models and algorithms that scale our forecasting operations
Collaborate with data platform engineers to productize models and algorithms as appropriate, and monitor model performance in the field

Here’s what we're looking for:

Bachelor's Degree in Statistics, Engineering, Applied Mathematics, Computer Science, or a related field. Master’s preferred.
2/3+ years experience applying advanced statistical and data science techniques
Have a background in statistics and understand different distributions and the conditions under which they're valid.

Possess a strong fundamental understanding of machine learning algorithms (e.g. regressions, decision trees, k-means clustering, neural networks)

Significant experience working with time series data is preferred. Prior experience with Python-based libraries for time series, such as Prophet, and deep learning architectures like 1D Convolutional Neural Networks will be a plus!
Experience applying causal inference techniques.
Understanding of frequentist and Bayesian statistics.
Proficient in scientific Python (NumPy, SciPy, scikit-learn, Pandas), SQL, and version control (GitHub).
Demonstrable experience in full stack data science, including developing and deploying machine learning models in a production environment (Airflow preferred).
Ability to formulate hypotheses, draw conclusions and deliver results
Excellent verbal and written communication skills
Ability to present findings to stakeholders and communicate results to technical and non-technical audiences.

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home with us.
Our company is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Our company considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@gusto.com.


Data Scientist

Role Overview:
Since founding, Grow has been gathering rich data throughout its systems. We are looking for a scrappy and motivated data scientist to derive insights from this data that power high-impact decisions across a variety of functions (product, growth, billing, operations, and more). The company is growing rapidly and offers many opportunities to leverage data skills to make an impact.
The ideal candidate is passionate about mental healthcare and is comfortable working in a fast-paced startup environment. You will define metrics and KPIs, build dashboards, conduct deep dives, build ETL pipelines and data models, and communicate your findings to stakeholders across the entire organization using the latest data tools (we use Snowflake, DBT, and Looker here). The ideal candidate is ruthlessly pragmatic and can identify the highest points of leverage to drive value for the organization.
Requirements:

Mission-driven and passionate about improving accessibility to quality mental healthcare
3+ years of relevant work experience
You’re a SQL ninja, bonus points if you’re comfortable working in Python
Comfortable with statistics and basic modeling
Critical thinking skills and the ability to distill complexity into impactful insights
Excellent communication skills; comfort sharing insights with different audiences (non-technical users, C-suite, engineers, PMs, etc. )
Excited about being a decision-maker, driving recommendations, and working in a rapidly growing startup environment
Bonus: startup experience, master’s degree in a quantitative field

The salary range for this position is 137 - 154K per year.


Senior Manager Data Science

Our bottom line is different.There’s something special about working at ATB, and it’s been recognized on every top employer list that matters. Maybe it’s our exceptional culture where your total wellness is supported through market-leading benefits and you’re free to bring your whole self to work. Maybe it’s our commitment to a growth mindset and our unrelenting thirst for making it possible for fellow Albertans—even the ones who aren’t our clients. Whatever it is, you won’t find a more genuine, driven and knowledgeable group of humans anywhere. We foster a culture of purpose, performance and possibilities. We engage with intense curiosity, and bring our whole selves to work, every day. We know it starts with people like you, so take a chance and start with us.Department: Everyday Financial Services, Client CareJob Number: 5150Location: This is a fully remote opportunity. Apply by: November 13, 2022Paygrade: M-OTH# Positions available: 1Leader Name: Giovane Cesar da Silva, Director of Data Science, Client Care Insights & AnalyticsAs ATB’s next Data Scientist - Sr. Manager in our Client Care Insights & Analytics team, you will manage, mentor, and support a team with the responsibility of synthesizing complex data using advanced analytics, data visualizations, and dashboards to evaluate and share progress and results of a given product, project, or program. Also, you will interact with Sr. leaders within the company to help inform and educate about data science practices, methods, and results alongside identifying opportunities where the organization can improve their efficiency. You will turn data into information, information into insight and insight into business decisions.Other responsibilities include: Research and evaluate tools, algorithms, and methods that can be leveraged by the team Working with a wide range of data/functions Establish close relationships with key stakeholders Organize projects and work efforts of the team Represent the Client Care - Insight and Analytics team in conferences, to vendors, to partners, etc. Management experience: 2 years of management experience of data science teams Clear understanding of the responsibilities of being a leader Data and Analytics Descriptive, Prescriptive, and Predictive analytics Data Cleansing, Data Curation, Data Harmonizing & Packaging Understanding User Requirements Business Fundamentals Business Analysis Business Problem Solving Client Centricity and Value Creation Metrics Reporting Interpersonal skills and Leadership Continuous Learning Mindset Critical Thinking & Problem Solving Storytelling Communication At ATB, we know that as you develop in your career, you gain many transferable skills. If you believe your experience and qualities are what we are looking for, please consider applying! Interested? If you know one of our team members, BEFORE applying, reach out to them and ask them for a referral link to help your application stand out.Online applications are preferred. Please let us know if you require any accommodations.Be great. Be you. Believe.We are dedicated to building a workforce reflective of the diversity within our communities and creating an environment where every team member has what they need to reach their potential. We encourage candidates from all equity-seeking groups to apply.What happens next?Thank you for applying online. If you are shortlisted for this opportunity, you will hear from us after the posting close date regarding next steps. We might ask you to participate in a digital interview or phone interview. If you require any accommodations, please let us know.Stay in touch!   ATB is excited to know you’re interested in a career with us! Follow us on LinkedIn, Facebook and Instagram to get the inside scoop on what our team is up to.


Senior Manager Of Data Science And Business Analytics

About Yay Lunch:
We are Yay Lunch, a new business concept with the mission to provide healthy food for kids away from home, beginning with school lunches. Our mission is simple: deliver delicious, healthy lunches made by local vendors to kids at school in an easy, reliable, cost-effective way for parents. How do we do it? We curate menus with local vendors in each market, families order online, and we deliver fresh lunches daily to kids at school. Easy!
Since launching a pilot in the 2017 / 18 school year, we have expanded rapidly. We have aggressive growth plans backed by experienced venture capital partners, and we are excited about our prospects!
We’re a startup which means we are agile, outgoing, quick on our feet, and eternally positive. Our business is exploding into new cities up and down the east coast, which means we’re also pretty excited!
To enable this work, we are hiring a passionate problem-solver who will help take our analytics platform to the next level. Do you have great ideas and the enthusiasm to build them? Join our team! Together, we will brainstorm, collaborate, design and deliver solutions that get great kids great food, right when they need it most.
About the team:
We take our work seriously, while recognizing that work is just one part of being a real human. We rise and fall as a team.
If you have strong skills, seriously enjoy a variety of work both tactical and strategic and don’t mind getting your hands dirty, can both teach and learn from others, and can own both your successes and your mistakes, this may be a good spot for you. We have a “no stupid questions” policy and encourage egoless collaboration.
In this role, we would expect there to be minimal travel, but expect to get your chance to periodically ride along with a driver, visit a food vendor, and help to deliver to a school near you to stay in close contact with how our business works.
We firmly believe that talent comes in a great variety of forms from a wide variety of backgrounds, experiences, perspectives, and lifestyles.
About the Role:
The Senior Manager of Data Science and Business Analytics will play an integral part in positioning Yay Lunch for continued success in the future. In this role, you will be responsible for building, owning and evolving the overall analytical reporting team and environments for the Yay Lunch business.  You’ll help drive actionable insights for the executive team that provide not only transparency into existing business performance, but that also help to model our possible futures, and you’ll help lead the creation of a robust and scalable analytics platform.
This is both a hands-on role as well as a leadership one: expect to be involved at all levels of projects.
The ideal candidate will be able to thrive in ambiguity, own and execute multiple concurrent deliverables (both hands-on as an individual contributor and by mentoring and guiding the team) while working effectively with executive leaders and stakeholders across the company. You’ll ensure all stakeholder reporting needs are met in a repeatable and scalable way, while planning, delivering, and evolving our data management and reporting environment to meet the needs of our rapidly growing business and driving actionable insights that make a real impact on our business.While a remote role, we will be hiring a candidate in one of our existing markets:  Atlanta, Baltimore, Philadelphia, DC metro areas or Virginia, Maryland or New Jersey.
Key objectives:
Partner with executive leadership and business stakeholders to develop analytics and standardized reports to support business performance reviews and to answer key business questions with a focus on scalable, actionable insightsOwn the overall design and support of the analytical reporting ecosystem, including collaborating with engineering and functional business leads on data acquisition, data management, technical architecture, data warehousing and report delivery solutions. Evaluate existing tools and maximize their use and/or identify new solutions appropriate for a scrappy, budget-conscious startupHelp create predictive models that influence future business success, Personally drive top level business analytics that deliver transparency into how we are performing against our plans. Develop self-service reporting capabilities for the business stakeholders and mentor local teams in their useHelp guide the executive team in establishing, implementing and maintaining data governance practices & policies, and develop reporting to drive alignmentHelp shape future technology work to both deliver data needed for future analysis, and to leverage the right data and algorithms for future automation and A/B testing Manage team priorities across multiple stakeholders, workflows for incoming requests, and staffing
Minimum Qualifications:
5-7 years of data science, business intelligence, business data governance, and/or analytics experience, with some experience in fast-moving start-up environments and some in larger companies.  Consulting experience is welcome. Experience creating and leading a data science/business intelligence function. Experience and comfort generating actionable insights from complex datasets, and the creation and management of large scale data modeling. Experience creating predictive models of success based on past business performanceComfortable presenting both high level and detailed concepts to a broad variety of audiences, including executive leadershipStrong experience with SQL, R, Python, and other data languages, cloud warehouses, data transformationHands-on experience with reporting tools (Snowflake, Mode, Looker, Tableau, PowerBI, Github, dbt.) and Google Analytics.Strong project and program management skills.Experience coaching, mentoring, and directing a team of direct reportsA strong sense of personal humility.Flexibility, curiosity, adaptability. Comfort with ambiguity and with creating tools and processes to build a path to success for the department. Readiness for change. Ability to be effective in an organization whose staff all work remotelyBachelor's degree in a relevant field and/or equivalent experiencePreference will be given to candidates in or near an existing Yay Lunch Market location.
We provide:
Salary range $75,000 - $100,000 depending on experienceBonus + company optionsMedical, vision, dental and life insurance401K, up to 3.5% employer matchFlexible paid time off (unlimited time off program)Technology allowance, data stipend, home office allowanceRemote, flexible, and family-friendly environmentSignificant support structures, on-the-ground training, & coaching from central team members
Yay Lunch requires all team members, including new hires, to report their COVID-19 vaccination status
#ZR


Applied Scientist Intern Valuation

About the team
The Valuation team is focused on all things related to real-estate valuation. The home valuation problem is an unsolved, complicated, impactful spatio-temporal modeling challenge. We strive to empower consumers to make their best housing-related decisions by using pioneering ML techniques to present accurate and explained estimates of home valuations and related metrics. If we cannot find an existing model to fit our needs, we will invent one. The work we do is at the core of Zillow’s mission to empower the consumer and provide them with the tools to make informed decisions.
The Valuation team is behind the Zestimate and Zillow Prize, our million dollar competition to crowd-source ideas that push automated home valuation models further. We recently released our latest model -- Neural Zestimate -- based on our findings from Zillow Prize, and we have many exciting avenues to explore in this direction. Learn more at www.zillow.com/ai-ml.
About the role
Zillow is looking for an Applied Scientist Intern to join the Valuation team. This opportunity involves working with the most sought-out content on the Zillow site including the Zestimate, Rent Zestimate, and related products. These products are essential to the company’s mission to create the largest, most-trusted, and vibrant home-related market in the world. Additionally, valuation-derived data and tools are foundational to new products and the company’s growth plans.
As an Applied Scientist Intern on the Valuation Team, you will have the opportunity to:
Efficiently collect and wrangle data in complex formats from diverse sources to derive new insights around home valuationDevelop and implement experiments with a focus on improving business-specific metricsWork closely with other applied scientists, engineers and product managers to implement end-to-end ML solutions.Communicate models, analyses and findings clearly to technical and non-technical audiences
This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.In Colorado, Connecticut, Nevada and New York City the standard base pay range for this role is $94,000.00 - $140,000.00 Annually. This base pay range is specific to Colorado, Connecticut, Nevada and New York City and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.
Who you are
In the process of completing a Master’s or PhD in Applied Mathematics, Statistics, Computer Science, Machine Learning, Data Science, Economics, Real Estate or a related field with an anticipated graduation date between December 2023 - July 2024Inclined to approach problems through a statistical perspective and with the ability to reason about uncertainty and data distributions. You let the problem define your choice of models, tools and approach to experimentation.Deep knowledge of at least one popular programming language (Python preferred) and suite of associated machine learning tools. e.g. Python and packages such as Numpy, Pandas, PyTorch, Scikit-learn, SciPy, and/or TensorFlowPassionate about learning new business domains, solving problems and presenting to and communicating with non-technical audiencesAny experience with the above within a real estate context is a plus
Get to know us
Zillow is reimagining real estate to make it easier to unlock life’s next chapter.
As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do is helping people move from dreaming to transacting — and no matter what job you're in, you will play a critical role in making this vision a reality.
Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For in 2022 list, Glassdoor Employees’ Choice Award, honoring the Best Places to Work in 2022, Bloomberg Gender-Equality Index 2022, Human Rights Campaign (HRC) Corporate Equity Index and Best Place to Work for LGBTQ Equality 2022, and TIME 100 Most Influential Companies list.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at RecruitingAccessibility@zillowgroup.com.
Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.
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Applied Scientist Intern Rentals Analytics

About the team
Zillow has streamlined the way people search, tour, apply and pay rent for leased properties. Zillow’s rental listings offer our customers all property types, from large-scale multifamily communities, to unique, single family homes. Our team of data specialists focuses on helping our valued partners showcase their properties with impactful end-to-end solutions and consumers discover their next home.
About the role
We are seeking an inquisitive Applied Scientist intern who will help us develop creative solutions to the broad business problems we are solving. Our team is at the forefront of solving everyday problems faced by a wide variety of renters and landlords. With your help, we hope to build methods that allow us to better identify and serve our consumers and their unique needs.
As an intern on you will get to:
Collaborate with Data Scientists, Machine Learning Engineers and Data Engineers to analyze terabytes of data to improve our understanding of how users use Zillow.Efficiently collect and wrangle data in sophisticated formats from diverse sources to derive new insightsBuild interpretable models to predict and explain effects of the real estate market on our Rentals BusinessInteract directly with partners to understand problems first-hand
This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.In Colorado, Connecticut, Nevada and New York City the standard base pay range for this role is $94,000.00 - $140,000.00 Annually. This base pay range is specific to Colorado, Connecticut, Nevada and New York City and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.
Who you are
In the process of completing a Master’s or PhD in Applied Mathematics, Statistics, Computer Science, Machine Learning, Data Science, Economics, Real Estate or a related fieldInterested in working on innovative solutions to problems in the private real estate space Proficiency in statistics, applied models and forecastingProficient in scientific programming, including data manipulation, modeling, and visualization; Python and SQL strongly preferred.Ability to conduct independent research and apply research methods to real-world problems.Ability to clearly communicate and present results to both technical and non technical audiences.
Transferable Skills
Here at Zillow - we value the experience and perspective of candidates with non-traditional backgrounds. We encourage you to apply if you have transferable skills or related experiences.
Get to know us
Zillow is reimagining real estate to make it easier to unlock life’s next chapter.
As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do is helping people move from dreaming to transacting — and no matter what job you're in, you will play a critical role in making this vision a reality.
Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For in 2022 list, Glassdoor Employees’ Choice Award, honoring the Best Places to Work in 2022, Bloomberg Gender-Equality Index 2022, Human Rights Campaign (HRC) Corporate Equity Index and Best Place to Work for LGBTQ Equality 2022, and TIME 100 Most Influential Companies list.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at RecruitingAccessibility@zillowgroup.com.
Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.
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Senior Applied Scientist Experimentation

About the team
Zillow's Experimentation Platform (ZEXP) team strives to enable and accelerate innovation across Zillow Group by empowering any person, no matter their role, to drive impact through innovation and learning with trustworthy, self-service experimentation. We are a team of data, machine learning, and experimentation specialized engineers and applied scientists building an experimentation analysis platform, and driving growth in Zillow's data driven culture. We are members of the Personalization and Experimentation team, within the Data, Analytics & AI (DA&AI) organization.
About the role
ZEXP is hiring a Senior Applied Scientist to help us advance our mission to help our product and marketing teams run experiments faster, with improving methods, with more quality controls, and at a lower cost, to generate more impact and innovation.
In this role, you will research, prototype, and implement statistical and machine learning methods to improve the velocity and quality of experimentation at Zillow. We're building a world class experimentation platform to support our experimentation culture and power innovation in our Housing Super-App. We need you to invent and implement innovative capabilities to our analysis capability.
Together we'll enable scientists across Zillow to iterate, test, and quickly ship improvements to production for automation.
As an Applied Scientist, you are a roll-up-the-sleeves and get-it-done researcher and engineer with a deep understanding of experimentation, causal inference, statistics or applied econometrics.
Requirements
Proficiency with a high-level programming language (we most commonly use Python and PySpark)Practical knowledge of statistics (for example, causal inference, Frequentist or Bayesian inference)The communication skills to influence, collaborate with, and educate others (whom you may need to educate on methods and requirements in experimentation and statistics).Experience prototyping, developing, and implementing algorithmic solutions and new technologies with billions of rows of daily data.The tenacity to embrace and tackle challenging problems
This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.In Colorado, Connecticut, Nevada and New York City the standard base pay range for this role is $154,000.00 - $246,000.00 Annually. This base pay range is specific to Colorado, Connecticut, Nevada and New York City and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.
Who you are
Preferred
Experience with the application of online or field experimentation.A Ph.D. in Statistics, Economics, Causal Inference, Computer Science or Engineering, Machine Learning, or related field or years of equivalent industry experience and/or publication
Transferable Skills
Here at Zillow - we value the experience and perspective of candidates with non-traditional backgrounds. We encourage you to apply and share transferable skills or related experiences.
Get to know us
Zillow is reimagining real estate to make it easier to unlock life’s next chapter.
As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do is helping people move from dreaming to transacting — and no matter what job you're in, you will play a critical role in making this vision a reality.
Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For in 2022 list, Glassdoor Employees’ Choice Award, honoring the Best Places to Work in 2022, Bloomberg Gender-Equality Index 2022, Human Rights Campaign (HRC) Corporate Equity Index and Best Place to Work for LGBTQ Equality 2022, and TIME 100 Most Influential Companies list.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at RecruitingAccessibility@zillowgroup.com.
Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.
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Applied Scientist

About the team
Are you interested in innovating new computer vision and deep learning technologies to power immersive experiences that change how people experience and envision their next home? Zillow’s Rich Media Experiences (RMX) team employs computer vision, 3D, and deep learning to invent the technology that enables Zillow's customers to make sense of home information in order to find their dream home. Using groundbreaking technologies, our team works across product, research, engineering, and business to enable people to virtually walk through a home. You'll have the chance to be a part of empowering the next-generation of home shopping by creating new state-of-the-art technologies that deliver unrivaled information and visual experiences to our customers.
About the role
The RMX Team is looking for an Applied Scientist to help us advance Zillow's mission by developing outstanding and highly engaging user experiences. This is a new space, and the team wants to add a curious and intuitive scientist to help advance this initiative. The team is staffed with researchers, engineers, and designers building spatial understanding algorithms and deep learning models that power immersive media experiences for buyers and renters. As an Applied Scientist, you will work to improve the efficiency and effectiveness of our team’s technical and research work and position them to thrive. You will be encouraged to think outside the box and challenge established assumptions and expectations, not by building on what we already have, but coming up with new ideas that spark innovation and creativity. Our solutions will ingest large volumes of data (imagery and metadata), and process it to build the exciting and immersive experiences that can be explored on zillow.com.
For more context from our Distinguished Scientist, explore this link:https://www.youtube.com/watch?v=RMD_-wpQh8A
This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.In Colorado, Connecticut, Nevada and New York City the standard base pay range for this role is $130,100.00 - $207,900.00 Annually. This base pay range is specific to Colorado, Connecticut, Nevada and New York City and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.
Who you are
As an Applied Scientist, you are a roll-up-the-sleeves and get-it-done researcher in machine learning with an understanding of computer vision fundamentals. This is a new space, and we are looking for someone who has:
A Ph.D. in Computer Science or Engineering, Machine Learning, Computer Vision, or related domainSolid background in computer vision research, building models & algorithmsUnderstanding of 2D/3D geometry and experience framing geometrical problems within modern differentiable frameworks like PyTorch and TensorflowProficiency with a high-level programming language (Python is preferred)Experience training machine learning models in frameworks like Tensorflow and PyTorchGood publication record and an excitement to walk us through what they’ve learned! Practical knowledge of deep learning (academic coursework is acceptable)The communication skills to work collaboratively with other scientists and engineers to prototype, develop, and implement new technologiesThe tenacity to embrace and solve challenging problems
Get to know us
Zillow is reimagining real estate to make it easier to unlock life’s next chapter.
As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do is helping people move from dreaming to transacting — and no matter what job you're in, you will play a critical role in making this vision a reality.
Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For in 2022 list, Glassdoor Employees’ Choice Award, honoring the Best Places to Work in 2022, Bloomberg Gender-Equality Index 2022, Human Rights Campaign (HRC) Corporate Equity Index and Best Place to Work for LGBTQ Equality 2022, and TIME 100 Most Influential Companies list.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at RecruitingAccessibility@zillowgroup.com.
Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.
See what information we collect about you.


Principal Data Scientist Strategic Operations

About the team
The Strategic Operations Team collaborates with our most senior leaders to determine what we should be doing as a company (Strategy), ensure we are successfully accomplishing what we said we would do and carrying out course corrections (Business Operations and Strategic Analytics).
About the role
As a Principal Data Scientist on the team, you will derive data driven insights to support the highest levels of strategy questions at Zillow. You will be partnering with our Strategy, Business Operations, Corporate Development, and Investor Relations teams to understand business questions and creatively solve complex business problems with analytic solutions. You will be navigating large and messy datasets, selecting and applying the right technical methodologies, and collaborating with Data Science, Econ, and Insights teams to complete the analysis. You will proactively and strategically use data to identify “big picture” opportunities for the company, and share your insights to influence product and business leaders across the company.
This is an opportunity to maximize your curiosity, strategic mind, analytical skills, relationship building and presentation strengths to have a significant impact with a high level of exposure across the company. This is a high visibility team and role, with broad exposure to every part of our business and the ‘big picture’ of Zillow and exposure to key leaders across the whole company.
You Will Get To
Influence key leaders in the business, product and data analytics using data driven insightsDrive recommendations on big picture company strategyPartner closely with leadership to model, analyze, and visualize business relevant metrics that inform both short- and long-term decision-makingConduct high priority ad hoc analysis to surface opportunities for Zillow’s strategy and businessWork closely with Business Operations, FP&A, Strategy, Corporate Development, and leaders in product and the business and our executive team
This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.In Colorado, Connecticut, Nevada and New York City the standard base pay range for this role is $142,500.00 - $227,600.00 Annually. This base pay range is specific to Colorado, Connecticut, Nevada and New York City and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.
Who you are
Strong business insight and ability to break down business questions into analysis and insights needed to support recommendationsAbility to jump in and conduct exploratory analysis and modeling; transform and distill combine complex and messy data into clear visualizations and useful insights using appropriate methodologyAn expert in SQL, Excel, and either Tableau, Mode, or other visualization softwarePractical knowledge of statisticsDemonstrated proficiency in cross-functional collaboration with business, data analytics, engineering and product leaders to drive decision makingAbility to deliver insights around business problems in a thoughtful and persuasive manner to senior leadershipStrong project management skills with the ability to prioritizeHighly adaptable, and able to thrive in ambiguous or uncertain environments
Qualifications
8+ years of experience in a combination of strategy, analytics, and advanced modelingExperienced delivering insights using large datasets and data visualization tools
Get to know us
Zillow is reimagining real estate to make it easier to unlock life’s next chapter.
As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do is helping people move from dreaming to transacting — and no matter what job you're in, you will play a critical role in making this vision a reality.
Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For in 2022 list, Glassdoor Employees’ Choice Award, honoring the Best Places to Work in 2022, Bloomberg Gender-Equality Index 2022, Human Rights Campaign (HRC) Corporate Equity Index and Best Place to Work for LGBTQ Equality 2022, and TIME 100 Most Influential Companies list.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at RecruitingAccessibility@zillowgroup.com.
Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.
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Principal Data Scientist Gtm Data

Principal Data Scientist, GTM Data
Revenue Operations
Remote - USA
We’re seeking an experienced data scientist to join HubSpot’s Revenue Operations Group. This role will focus on supporting internal clients to improve the effectiveness of HubSpot’s revenue operations teams as well as improve the employee experience. Successful candidates will need to work with clients to deeply understand their business problems, creatively design data science based solutions and lead the timely execution of the implementation of the chosen plan. We are especially interested in candidates with domain experience in natural language processing techniques. We believe that this position will be rewarding as there are significant opportunities to expand HubSpot’s internal capabilities and work on greenfield initiatives. You will also be joining a strong and supportive team of data scientists and analytics engineers that highly value intellectual curiosity. Also, HubSpot was voted one of the 100 best companies to work for in 2021 and 2022.
Objectives of this Role
Build strong relationships with internal stakeholders and develop a deep understanding of their business problems.
Identify and mature data sources that will further data science and business analytics at HubSpot
Design and build machine learning and statistical models that improve the performance of HubSpot’s revenue operations group
Use data to inform key business decisions and communicate findings effectively with senior leadership
Keep current with technical and industry developments
Role Responsibilities and Duties
Query, organize, integrate and clean data from multiple sources including both structured and unstructured data.
Expert knowledge on a breadth of machine learning techniques and a thorough understanding of the best approach to use for a given situation.
Leading data science initiatives throughout the entire model life cycle to improve the performance of the revenue operations group in partnership with internal stakeholders
Mature the data science practice at HubSpot by improving the breadth and depth of internal feature stores and mentoring junior analysts
Execute analytical experiments methodically to rigorously test potential solutions and strategies
Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems
Skills and Qualifications
Degree in statistics, applied mathematics, economics, computer science or other quantitative discipline
5+ years experience in data science with multiple models deployed in an operational setting.
Expert level knowledge in SQL and python programming
Proficient using version controls systems (git/github)
Ability to effectively communicate data science concepts and results to non-technical audiences.
Ability to use data to persuasively present to senior management to inform strategic decision making.
Preferred Qualifications
Master’s degree in a quantitative discipline
2+ years of experience leading data science initiatives
Experience using a deep learning python framework (tensorflow, pytorch, etc)
Experience building natural language processing models
Cash compensation range: 197000-242000 USD Annually
This resource will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s compensation philosophy from Katie Burke, HubSpot’s Chief People Officer.
The cash compensation above includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot’s bonus plan for eligible roles. In addition to cash compensation, all HubSpotters are eligible to participate in HubSpot’s equity plan to receive restricted stock units (RSUs). Some roles may also be eligible for overtime pay. Individual compensation packages are based on a few different factors unique to each candidate, including their skills, experience, qualifications  and other job-related reasons.
We know that benefits are also an important piece of your total compensation package. To learn more about what’s included in total compensation, check out some of thebenefits and perks HubSpot offers to help employees grow better.
At HubSpot, fair compensation practices isn’t just about checking off the box for legal compliance. It’s about living out our value of transparency with our employees, candidates, and community.
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.
If you need assistance or an accommodation due to a disability, please email us at interviewaccomodation@hubspot.com. This information will be treated as confidential and used only for the purpose of determining an appropriate accommodation for the interview process.
Important COVID-19 Guidance (For candidates applying to roles in the United States):
Per HubSpot’s policy all employees who wish to work @office or @flex or to visit an office in-person must be fully-vaccinated. At this time, @remote employees are not required to be vaccinated.
Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page here.
About HubSpot
HubSpot (NYSE: HUBS) is a leading customer relationship management (CRM) platform that provides software and support to help businesses grow better. We build marketing, sales, service, and website management products that start free and scale to meet our customers’ needs at any stage of growth. We’re also building a company culture that empowers people to do their best work. If that sounds like something you’d like to be part of, we’d love to hear from you.
You can find out more about our company culture in the HubSpot Culture Code, which has more than 5M views, and learn about our commitment to creating a diverse and inclusive workplace, too. Thanks to the work of every employee globally, HubSpot was named the #2 Best Place to Work on Glassdoor in 2022, and has been recognized for award-winning culture by Great Place to Work, Comparably, Fortune, Entrepreneur, Inc., and more.
Headquartered in Cambridge, Massachusetts, HubSpot was founded in 2006. Today, thousands of employees work across the globe in HubSpot offices and remotely. Visit our careers website to learn more about culture and opportunities at HubSpot.
By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. HubSpot's Privacy Notice explains what personal information we may process, where we may process your personal information, our purposes for processing your personal information, and the rights you can exercise over HubSpot’s use of your personal information.


Data Scientist

Do you hate advertising? We do too. Our view is that the advertising business is broken and needs to change, and we are a big part of the answer. Jun Group means truth, and our culture is about openness, honesty and innovation. We work with the largest brands in the world to run advertisements that are 100% opt-in, putting consumers in control and turning the industry on its head.
We are looking for a Data Scientist to join our machine learning and data science team. This position is full-time and 100% remote with the option of working on-site once it is safe to do so. Jun Group will only consider candidates for this position who are currently legally authorized to work in the United States.
Who you are

You enjoy collaboration with other teams including product, strategy, and machine learning engineers
You love solving complex problems and can present sophisticated ideas and data analysis in a way that’s easy to understand
You are a pro at uncovering consumer behavior and campaign performance trends and insights-based strategy through quantitative research methods
You have a strong ability to think creatively with data, formulate and get traction around new ideas, and bring a different point of view to business and engineering partners
You’re naturally curious and always find a way to contribute
You’re detail-oriented and enjoy analysis and problem-solving

What you’ll do

Work with product and data engineering stakeholders to identify key metrics and opportunities for improving business processes and drive product strategy
Take on projects end-to-end from business question all the way to production
Enhance data collection procedures to include information that is relevant for building analytical systems and predictive models
Design and conduct surveys for market research, audience insights, and machine learning modeling
Evaluate surveys, methods, and performance to improve future surveys and remove sampling bias
Process, cleanse, and verify the integrity of data used for analysis and modeling
Apply quantitative methods including but not limited to descriptive analysis univariate and multivariate tests, statistical modeling etc. to find opportunities to optimize ad campaign performance and audience engagement
Support the machine learning team in designing machine learning algorithms
Create data visualizations, reports, dashboards, and data audits
Doing ad-hoc analysis and presenting results in a clear manner

Qualifications

Advanced quantitative degree in Data Science, Statistics, Psychology, Mathematics, or related field or relevant combination of education or professional experience
3+ years of relevant professional experience
Practical knowledge of research methods, survey methodology, probability, and statistical modeling
You're comfortable writing SQL and manipulating large, real world datasets in a data warehouse like BigQuery, Redshift, Snowflake, etc.
You’re comfortable working with Python and using popular machine learning tools like Tensorflow, Keras, PyTorch, etc.
Understanding of deep learning as well as traditional machine learning algorithms
Experience with data visualization tools like Datastudio, Looker, Tableau, etc
Excellent communication and writing skills, in particular, the ability to communicate technical content to a non-technical audience

What we offer

A highly competitive compensation package
401k with company match
Paid vacation, work from home, and sick days
Designated time to work on company-related projects you feel strongly about
Macbook Pros and any other equipment you need to work effectively from home

NY-area Residents: We currently have a hybrid remote work policy. All Jun Group employees living within a 90-minute (one way) commute of our NYC office are expected to be in the office two days per week.
Salary Range: $80,000 - $110,000 + incentive pay
Learn what our engineering team likes about Jun Group here.
Jun Group is a high-powered, collaborative environment. We are looking for candidates who work well in teams, enjoy learning, and challenge the status quo. We work hard, and we have lives, too. We pay competitively based on experience, and we’re open to allowing the right person to learn our industry on the job.
We have excellent perks and benefits, and we welcome diversity and non-traditional paths into all of our roles. We believe in hiring the right person as opposed to the right combination of keywords.


Data Scientist V Marketplaces Personalization

Role Overview
ID.me is looking for a Data Scientist V with a background in personalization to join our Marketplaces team. In this role, you will lead building our next-generation recommendation models driving unique and personalized member experience across all ID.me products and services. You will work closely with cross functional teams, including product, data, operations and senior leadership to develop and drive world class personalization products for ID.me members. If you are data-driven, results-oriented, and eager to help solve data problems of varying complexities, then this would be the perfect opportunity for you.
Responsibilities

Partner with leadership and stakeholders to develop personalization products for ID.me members
Design experiments, test hypotheses, and build data models
Work with data team to identify and analyze patterns
Recommend and test new analytics algorithms and models
Educate the organization on new analytical approaches to drive business decisions
Provide technical guidance, mentorship, coaching and/or training to junior Data Scientist

Qualifications
The qualifications below are ideal, but not all are required.  We encourage candidates to apply if they satisfy some, but not all of the qualifications.

8+ years of hands-on experience in data science for a SaaS company or a mature startup
BS/MS in Data Science or a related quantitative or scientific field
Experience with  SQL & the Python ML ecosystem - pandas, numpy, sklearn, etc.
Experience with Recommendation algorithms & one or more deep learning libraries
Experience ingesting, processing, and visualizing data sources of varying types - structured/relational and unstructured
Experience in developing, managing, and manipulating large, complex datasets
Data-driven, detail-oriented individual with excellent storytelling and problem-solving abilities
Ability to work independently and autonomously, as well as part of a team
Superb time management, prioritization of tasks and ability to meet deadlines with little supervision

Ideal candidate will thrive in the following culture:

Must have an obsession for building quality products
Ability to thrive when there are changing priorities and shifting of gears
Strong oral and written communication skills
Must be a team player with a strong, self-managing work ethic
Must be a self-starter with a passion for software engineering, learning and continuous improvement

Note that candidates must be located in the continental U.S.

ID.me Covid Vaccination Requirement
All current and future employees are required to receive their COVID-19 vaccinations, unless a reasonable accommodation is approved. Employees not in compliance with this policy will be placed on leave and will be terminated if no valid reason for not getting the COVID-19 vaccine is provided.
Purpose: In accordance with ID.me's duty to provide and maintain a workplace that is free of known hazards, we are adopting this policy to safeguard the health of our employees and their families; our customers and visitors; and the community at large from COVID-19 that may be reduced by vaccinations. This policy will comply with all applicable laws and is based on guidance from the Centers for Disease Control and Prevention and local health authorities, as applicable.
Reasonable Accommodation: Current and future employees in need of an exemption from this policy due to a medical reason, or because of a sincerely held religious belief must submit a completed Request for Accommodation form to the human resources department to begin the interactive accommodation process as soon as possible after vaccination deadlines have been announced (September 13th) and an offer of employment has been made. Accommodations will be granted where they do not cause ID.me undue hardship or pose a direct threat to the health and safety of others.

Vision: To be the world's leading digital identity network empowering people to control their own information and to prove their credentials across all channels: online, call center, and in-person.
Mission: To make the world a more trusted place by delivering the highest level of security with the least amount of friction at the lowest possible cost.
People: We have an audacious mission. We aim to fix the identity layer of the internet. Billions of people will live better lives with more trust and convenience thanks to ID.me. We are like Special Forces. We take on the most difficult challenges with amazing teammates.
ID.me Core Values: *Don't be a jerk. *Always compete. *Ask questions like a 5-year old. *Inspire people with your passion. *Make something better every day. *Treat each customer like your favorite family member. *Own your mistakes so you can learn from them. *Details are everything. *Communicate like a scientist. *Be truthful (even when it's hard). *Reflect ID.me's values in your actions. *Act like an owner.
ID.me Career Site & Culture Deck: https://www.id.me/careers
ID.me maintains a work environment free from discrimination, where employees are treated with dignity and respect. All ID.me employees share in the responsibility for fulfilling our commitment to equal employment opportunity. ID.me does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. ID.me adheres to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, ID.me's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations.

Please review our Privacy Policy, including our CCPA policy, at id.me/privacy. If you provide ID.me with any personally identifiable information you confirm that you have read and agree to be bound by the terms and conditions set out in our Privacy Policy.

ID.me participates in E-Verify.

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