Arity Data Scientist Lead Consultant

Founded by The Allstate Corporation in 2016, Arity is a data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer and more useful for everyone.
At the heart of that mission are the people that work here—the dreamers, doers and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real problems and put your talents towards transforming transportation.
That’s because at Arity, we believe work and life shouldn’t be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We don’t just want you to see yourself here. We want you to be yourself here.
Job Summary:
This role is responsible for leading the use of data to make decisions. This includes: the development and recommendation of new machine learning predictive modeling algorithms, the coding/development of tools that use machine learning/predictive modeling to make business decisions, searching for and integrating new data (both internal and external) that improves our modeling and machine learning results (and ultimately our decisions), and discovery of new business problems that can be solved through the use of machine learning/predictive modeling. The role is responsible for assisting in the recruitment, selection, mentorship and development of junior data scientists. This role will also begin to manage projects of medium to high complexity.
Key Responsibilities:
• Uses best practices to develop complex statistical, machine learning techniques to build models that address business needs and to improve the accuracy of our data and data-driven decisions
• Reviews, evaluates, communicates and makes recommendation on appropriateness of modeling techniques and results to team, leadership and stakeholders to ensure these are well understood and incorporated into business processes. Develops and executes communication strategy, keeping stakeholders informed and influencing business partners and senior leaders on the effectiveness of machine learning/predictive modeling to solve business problems.
• Collaborates with outside business units and works on data and complex business problems in order to improve the effectiveness of business decisions and business results through designing, building, and partnering to implement machine learning/predictive models. Effectively understand the business' problems and requirements to identify the optimal modeling approach. Develops frameworks/prototypes that integrate data and machine learning/predictive modeling to make business decisions.
• Identifies languages and tools that can bring efficiencies or needed techniques to the team. Identifies new areas of data, research and models and develops data sources that can solve business problems.
• Utilizes effective project planning techniques to break down complex machine learning/predictive modeling and/or development projects into tasks, manage scope of projects, and ensure deadlines are kept. Manages various analytical and modeling projects with small number of team members.
• Mentors and develops others
Supervisory Responsibilities:
This job does not have supervisory duties.
Education and Experience:
Master’s or PhD
5 or more years of related experience
Certificates, Licenses, Registrations:
• None
Functional Skills:
• Proven experience in managing and manipulating large, complex datasets and ability to analyze and interpret moderate to complex concepts• Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise • Demonstrated Analytic Agility and ability to quickly learn and switch topics• Ability to use and learn a wide variety of tools and languages to achieve results • Proven ability to code and develop prototypes in languages such as Python, Spark• Ability to lead a project team of various skills levels • Ability to manage a wide range of loosely defined moderate to complex situations, which require application of creativity and originality, where guidance and counsel may be unavailable• Ability to train, develop, and teach more junior modelers• Experience in using statistical modeling and/or machine learning techniques to build models that have driven company decision making• Experience with advanced system programing• Experience in working with implementations of TensorFlow, Neural Networks, NLP
Notes:
The preceding description is not designed to be a complete list of all duties and responsibilities. May be required to perform other related duties as assigned. Regular, predictable attendance is an essential function of this job.
Compensation offered for this role is $123,000.00-$169,500.00 per year and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
That’s the day-to-day, now let’s talk about the rest of it. As we mentioned, Arity was founded by The Allstate Corporation. But you’ll be working for—and at—Arity. It’s the best of both worlds. You’ll get access to the full suite of Allstate benefits and work in a fast-paced startup culture. That’s more than just free breakfasts and brain breaks. It’s a culture that encourages you to be you.
Sound like a fit? Apply now! We can’t wait to meet you.
Arity.com Instagram Twitter LinkedIn
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

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It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment


Arity Data Scientist Intern

Allstate B2C96264 98Bd 481E Aaa7 B84C96Ec77Be

Founded by The Allstate Corporation in 2016, Arity is a data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer and more useful for everyone.
At the heart of that mission are the people that work here—the dreamers, doers and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real problems and put your talents towards transforming transportation.
That’s because at Arity, we believe work and life shouldn’t be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We don’t just want you to see yourself here. We want you to be yourself here.
The Analytics Team
At Arity, our Data Science team is at the core of helping us transform mobility. We not only know how to analyze and find meaning within billions of miles of driving data collected from smartphones, onboard devices and third parties; we are passionate about how it affects the end-users of our products. On our team people get the opportunity to build scalable distributed data pipelines, develop and deploy an array of machine learning algorithms, and create eye-opening data visualizations. We find top talent from various quantitative disciplines to collaborate with product owners, software engineers, and experience designers in development teams to create innovative products to make transportation smarter, safer, and more useful for everyone.
Job Description
This is a Summer 2023 internship for students currently enrolled in a degree program. This role is responsible for the use and development of data infrastructure projects and proof of concept business solutions for users in Analytics and Data Science. This person partners with Data Scientists and Analytic Engineers to provide tactical solutions. This is a highly dynamic position that requires a great degree of flexibility, analytic agility and the ability to rapidly adapt to changing business requirements/needs, new technologies and data sources. This role requires close integration and partnership with the business and Data Science team, and requires business acumen in order to output the best technical solutions.
Uses best practices, with limited coaching, to develop machine learning and computer vision techniques to build models that address business needs
Utilizes effective project planning techniques to break down basic and occasionally moderately complex projects into tasks and ensure deadlines are kept
Uses and learns a wide variety of tools and languages to achieve results (e.g., R, Python, Spark, SQL)
Collaborates with the team in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modeling
Innovates on projects by using new modeling techniques, computer vision techniques or tools
Executes on modeling/machine learning projects effectively
Reviews and evaluates on appropriateness of techniques, given current modeling practices, to senior leadership
Job Qualifications
Target Start date: May/June 2023
Currently pursuing a degree in a quantitative field (e.g. mathematics, statistics, computer or physical science)
Pursuit of a graduate degree strongly preferred
Ability to solve problems, think critically, and communicate clearly
Knowledge of statistical modeling, machine learning, mathematical optimization, and/or data mining
Experience with programming
An understanding of algorithmic scaling and complexity a plus
Experience with big-data tools (Ex. Spark) a plus
That’s the day-to-day, now let’s talk about the rest of it. As we mentioned, Arity was founded by The Allstate Corporation. But you’ll be working for—and at—Arity. It’s the best of both worlds. You’ll get access to the full suite of Allstate benefits and work in a fast-paced startup culture. That’s more than just free breakfasts and brain breaks. It’s a culture that encourages you to be you.
Sound like a fit? Apply now! We can’t wait to meet you.
Arity.com Instagram Twitter LinkedIn


Data Scientist Search Recommendation

Job Description: Data Scientist - Search & Recommendation, Machine Learning
Faire is using machine learning to change wholesale and help local retailers compete with Amazon and big box stores. Our experienced data scientists and machine learning engineers are developing solutions related to discovery, ranking, search, recommendations, logistics, underwriting, and more - all with the goal of helping local retail thrive.
The Data Science team owns a wide variety of algorithms and models that power the marketplace. We care about building machine learning models that help our customers thrive.
As a member of Search for the Data Science team you’ll be responsible for developing machine learning-powered search ranking models and adding personalization to our search and discovery. You’ll determine answers to questions like, how relevant is this product to this retailer and how can we infer that in real-time? Can we create real-time embeddings of users' interests and use them to power rankings? How can we improve purchase flow? What techniques can we use to enable our A/B tests to more quickly converge when dealing with low sample sizes?
Our team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, and Pinterest. Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there!
You’re excited about this role because…

You’ll be able to work on cutting-edge search query and understanding problems combining a wide variety of data about our retailers, brands and products
You want to use machine learning to help local retailers and independent brands succeed
You want to be a foundational team member of a fast growing company
You like to solve challenging problems related to a two-sided marketplace

Qualifications

1+ years of industry experience using machine learning to solve real-world problems
Experience with search/query processing for product development
Strong programming skills
An excitement and willingness to learn new tools and techniques
Experience with relational databases and SQL
The ability to contribute to team strategy and to lead model development without supervision
Strong communication skills and the ability to work with others in a closely collaborative team environment

Great to Haves:

Highly recommended: Master’s or PhD in Computer Science, Statistics, or related STEM fields
Ability to quickly implement state of the art algorithms from an academic paper

Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.


Director Growth Data Science

Company Description
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee – whether a team member of Etsy, Reverb, Depop, or Elo7 – you’ll tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human.
Job Description
What’s the role?
Etsy is seeking a Director of Growth Data Science to join our team!
Are you passionate about customer engagement? Do you love diving into data and insights to develop creative ways to acquire and retain customers?
We are looking for a person who is an innovative, analytical thinker and strong communicator, whose insights enable your teammates to develop valuable, highly effective programs to turn one-time users into loyal customers and increase purchase frequency. As the Director of Growth Data Science you are establishing a brand new team within Marketing that will work with other functions and Product to help drive the company’s growth!
This is a full-time position reporting to the VP of Growth Marketing and the base salary range will be 207,000 - 269,000 USD per year. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the United States. who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our flexible work options and vaccination policy here.
What does the day-to-day look like?
Lead the Growth Data Science team focusing on evolving Etsy’s customer segmentation, developing targeting strategies, and driving growth strategy across marketing channels Enrich customer data and develop user scores / propensity models in support of relevant targeting and messaging Drive Marketing automation, e.g. audience creation and reporting processes Work with Marketing Technology partners to handle technical aspects of key marketingsystems and evaluate new technologies to improve and optimize marketing teamperformance  Manage data related projects and represent the team on cross-functional andexternal/third-party initiatives Develop weekly and monthly experiment plans and make recommendations to increaseengagement across key segments and channels Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualifications
Qualities that will help you thrive in this role are:
 6-8 years minimum of quantitative work experience with large customer databasesHave a BA or BS Degree (In lieu of degree, 4 years of relevant work experience); an advanced degree in a quantitative discipline or equivalent work experience preferredNo stranger to translating business challenges into data analytics problemsExpertise in predictive modeling, and statistical analyses in generalDemonstrated experience with experimental designAdvanced Proficiency in SQL; must understand CTEs, window functions, etcExpert level experience with a scripting language (Python preferred)Solid experience in one or more languages for statistical programming (e.g. Python Analytics Libraries, R, SAS) Skilled with workflow automation tools and concepts like, cron jobs, Airflow, etc.Proven track record managing teams of data scientists, multiple projects, and timelines in a fast-paced environment High aptitude for influencing decisions using analytics at a fast-growing firm, a leading consultancy, a financial services company, or similarKnowledge of data visualization tools (e.g. Looker, Tableau) a plusFamiliarity with leveraging APIs for data extraction purposes a plus
Additional Information
What's Next
If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about.
Our Promise
At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.
For U.S. roles only:
Many Etsy roles are open to remote candidates, and you'll be able to identify which ones within the location header of each job description. We're open to remote hires from all U.S. states except Hawaii and Alaska.


Sr Data Scientist

About us
Elementus is a data-first pioneer focused on solving the biggest challenges in crypto. Backed by the most comprehensive data set in the market and patented algorithms built to trace the flow of funds, we’re able to provide powerful visualization of on-chain activities and insightful analytics so our customers can unlock both the power and promise of blockchain.
Whether starting out with compliance, looking to assess bad actor risk, or interested in valuable insights on which to build out a web3 strategy, our platform provides customers with a 360-degree view of data and the deep attribution capabilities needed to start and scale their business on the blockchain with confidence.
We are looking for an ambitious and self-motivated Sr. Data Scientist who shares our passion for blockchain data and the endless opportunities this data presents.

The Role
We are looking for gritty, technical Swiss Army Knives who are enthusiastic about quickly translating customer needs into elegant, stable, and performant software solutions. You should be comfortable interacting with the stack at every level, excited to move fast and exercise a bias towards experimentation and operate in a fast-paced, often opaque environment. Your job is to figure out what needs to get done and do it.
Can you balance trade-offs between the speed of delivery and perfection?
Is your code production-ready and a stable foundation for continuous iteration?
Do you love working in new verticals, rolling your sleeves up, and solving fantastically hard data problems – often ones that have never been solved before?
If so - we want you on the team!

Core Responsibilities
Proactively identify opportunities where data can enhance our understanding of Blockchain. Support the core of our data science process
Collaborate with the engineering and business team to coordinate timely product delivery cycles
Build and maintain the operational toolbox for the data science team
Build, improve, and maintain the blockchain entities’ attribution knowledge base

Requirements
Have ideally at least 7+ years of experience
Comfortable working with SQL/No-SQL databases and eager to learn graph databases
Advanced skills in at least one programming language such as Java, Python/Pandas, JavaScript/Node
Solid understanding of blockchain technology
Ability to read white papers, replicate and improve results
Curiosity in creating proprietary graph algorithms as well as applying graph data science to blockchain data
Degree in a technical or quantitative discipline, such as statistics, mathematics, physics, electrical engineering, or computer science (all levels welcome, from bachelor’s to doctorate)
You should be comfortable venturing into new and unknown directions while maintaining clarity of purpose. The problems we work on rarely have clean, definitive answers.

Stand Apart By Demonstrating
Curiosity about blockchain and technology in general
Proactivity in identifying problems and asking the right questions
Resourcefulness in finding data sources and gathering data
Versatility in attacking problems with different tools and from various angles

Compensation
The base salary pay range for this position in New York City is $160K-$180K annually; however, base salary pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and Restricted stock units may be provided as part of the total compensation package, in addition to a full range of medical, financial, or other benefits, dependent on the position offered. This information is provided per the New York City Human Rights Law. Base pay information is based on market location. Applicants should apply via Elementus internal or external careers site.

Perks
Medical, Dental & Vision Insurance Coverage
Life Insurance
Unlimited PTO
Paternal Leave
Flexible Work Schedule
9 Paid Holidays
WFH Stipend to support your home office needs

EEO Statement
Elementus is an equal opportunity employer and we’re proud of our ongoing efforts to foster diversity equity & inclusion in the workplace. Individuals seeking employment and employees at Elementus are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristics protected by applicable law.Elementus aims to provide reasonable accommodations for applications with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an email to careers@elementus.io with your specific accommodation request.
By submitting your application, you agree that Elementus may collect your personal data.


Data Scientist

Credit Key’s mission is to deliver a superior business payment experience at B2B point-of-purchase. Our core product allows B2B merchants to offer buy-now-pay-later financing at ecommerce checkout.About the RoleCredit Key is seeking a Data Scientist Manager to join our rapidly expanding team. The Data Scientist Manager’s primary responsibilities are in credit and fraud risk management along with analytics for Product and Marketing teams. This is a ‘hands-on’ analytics role with the ability to drive significant results and key insights while leveraging our unique mix of credit, transaction, and payment data. The ideal candidate will be able to independently dig deep into the data to solve challenging and fast paced business problems while also helping to build a leading risk management infrastructure and strategy.What you'll do Develop, validate, and implement proprietary credit models using our unique data to drive the next phase of our risk strategy Create new strategies to identify and mitigate fraud risk across the credit lifecycle- from new applications, to real time transaction authorizations, to account management Propose, implement, and analyze testing to further enhance key features of our product including approvals, line assignment, pricing, and term lengths Work in a very cross-functional, fast paced environment with key stakeholders in Finance, Product, Marketing, and Operations. Partner directly with industry leading small business lending data providers to optimize use of existing and new data in our credit and fraud strategies Develop and execute credit and fraud risk tracking and credit bureau reporting. What we look for Bachelor’s Degree in STEM field. Master’s Degree preferred Prior experience with large complex time series datasets at a financial institution. Prior risk management and/or ML experience preferred Deep hands-on experience in data analysis (writing your own code) utilizing tools such as Python, R, SQL, Tableau, SAS, or equivalent Experience in financial modeling to determine business cost benefit results from A/B testing. A team player attitude with the ability to communicate clearly with both technical and non-technical stakeholders and handle ambiguity Why you want to work with us Unlimited Vacation. We hire adults and treat them as such. We are committed to an output-oriented, not butt-in-seat culture. Competitive Compensation Package Great Healthcare Benefits 401k Match 100% Remote. Flexible Work Schedule & Location. Work From Home / Internet / Cell Phone Stipend. Supportive. Highly collaborative team environment.


Principal Data Scientist Western Us

Principal Data Scientist, Search and Personalization - United States or Canada (Remote)

Duration: Permanent
Location: United States or Canada (Remote)
Start: ASAP

Due to the current conditions of COVID-19, this key position will initially work from home, until such a time when we return to our office.

Who You Are:
We are looking for a Principal Data Scientist to lead the development of our search, personalization, and recommendations. Using your deep machine learning expertise while considering the broader business context, you will lead, and guide our data scientists, and analysts team to develop industry-leading recommendations in visual search. This position will have a direct impact on the search and browse paths for millions of customers and drive key conversion metrics!

Your Next Challenge:

Build industry-leading algorithms using our images, metadata, and/or customer interactions to significantly improve our customers’ image/video search and discovery experiences
Lead, guide, and mentor data scientists and data analysts in formulating, and implementing our strategy
Develop our technical ranking roadmap alongside product, team members, and leadership. Distilling customer requirements into problem definitions and identifying measures of success
Develop and implement online and offline testing and validation methodologies
Partner with data engineers, machine learning engineers, and search engineers to implement and deploy new ranking algorithms in the production process

What You'll Need:

Proven expertise building and validating search, personalization, recommendation, and/or newsfeed algorithms for customer-facing products
A minimum of 5 years validated experience
Proven expertise as a technical lead providing mentorship and guidance to team members.
A strong understanding of the real-world advantages and drawbacks of various algorithms and the ability to measure success
Ability to handle ambiguity, priorities, and competing objectives. Experience solving highly technical problems
Hands-on experience with accessing data, Python, machine learning libraries, and deep learning libraries (ex: scikit-learn, numpy, pandas, scipy, TensorFlow, SQL, hive, spark, etc.)
Ability to write clean, understandable code that follows leading industry standards and practices and is well-documented, and to build easily reproducible models
An ability to consider biases that exist in the data and develop solutions to mitigate biases appropriately
Outstanding interpersonal skills. Ability to communicate at all levels, including explaining sophisticated technical solutions to non-experts
Open listener, ability to be open to many diverse voices and perspectives
You are clear, credible, and forward-thinking!
A Ph.D. or MS in Computer Science, Statistics, Data Science, Mathematics, Economics, Sociology, Natural Sciences, or any equivalent field is helpful

Mental and Physical Demands:

A quiet location with reliable high-speed internet connectivity, an environment suitable for professional work (desk, chair, external monitor, etc.)
Frequent communication with others to exchange information
Frequent sedentary work that primarily involves sitting/standing; Time of each will vary
Constant operation of computer and frequent usage of other office machinery, including (but not limited to) calculator, copy machine, computer printer, etc
Constant assessment of accuracy and thoroughness of the work assignment

Due to the current conditions and impact of Covid-19, this key position will initially work from home, until such a time we open our offices. At the time of the local office opening, employees and managers will partner to determine the work site location in line with our Flexible working policy.

Benefits at Getty Images

Health Insurance
We provide Medical, Vision, and Dental insurance for you and your family. We partner with Meritain (An Aetna Company), and CVS Caremark to provide you with two options for medical coverage - a POS plan and an HSA-qualified (Health Savings Account) Plan. The POS plan comes with a $200 per year Getty Images contribution to an FSA account. If you enroll in the HSA plan, Getty Images will give you $1400-$2400 per year to spend on any qualified health expenses. Dental insurance is available through Delta Dental. Vision Insurance is available through VSP. All full-time employees working at least 25 hours per week will become eligible for health benefits the 1st of the month following their date of hire. Contributions to health care accounts are prorated based on the date of hire.  For more information on these benefits, you may request an electronic copy of our Benefits Guide.

Time off Work/life balance is important to us
We provide flexible time off and 10 sick days each calendar year. Additionally, we pay 4 weeks of fully-paid Parental Leave for new parents, with primary caregivers eligible for an additional 8 weeks of fully-paid leave.

Company Paid Holidays
Employees enjoy company-paid holidays for each of our global locations.

Disability and Life Insurance
We automatically enroll and pay for Basic Life and Accidental Death and Dismemberment Insurance (AD&D) up to 2 times your annual salary. We also provide you with fully paid Short-Term Disability and Long-Term Disability Insurance.

Employee Assistance Program
Employees have access to free, confidential assistance for everyday problems such as stress management, financial coaching, marital or family issues, substance abuse, occupational problems, and referrals for legal, childcare, and eldercare services. Employees can seek additional discounts on other wellness activities such as travel, gym memberships, and sports! Through our EAP services, employees are also eligible for 3 free counseling visits and life coaching sessions.

401(k)
Start saving for retirement! Getty Images matches up to 4% of your deferred compensation, with immediate vesting – that means all of Getty Images employer match money is automatically yours – with no waiting period!

Learning & Growth
We value continuous learning and development to help everyone develop their skills. Enjoy mentorship, curated training & more.

__________________________

Covid-19 Company Statement:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing may be mandated by the relevant local laws with which Getty Images will comply. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).

US Specific:
Getty Images does not require employees to be vaccinated against Covid-19, but vaccination or testing has been mandated by the Biden administration and that mandate applies to our US workforce. If this position involves contact with third parties, attendance on site for events, travel and/or work in our offices, those actions will be subject to any to relevant local laws, venue or customer requirements, or travel requirements regarding vaccines or testing (and exemptions thereto).

Who We Are:
Getty Images is a preeminent global visual content creator and marketplace. Through Getty Images, iStock, and Unsplash, we offer a full range of content solutions to meet the needs of any customer—no matter their size—around the globe.

Getty Images encompasses the largest and best path to market for visual creators through their premier brands including its core, Getty Images; iStock, a value offering of creative stills and videos providing a significant volume of exclusive content to small and medium-sized businesses; and Unsplash, a free offering of creative stills servicing the fast-growing and broad-based creator economy.

Help us move the world with images! Bringing award-winning imagery to everyone, Getty Images has customers in almost every country in the world, with websites in 23 languages, bringing the world’s best content to media outlets, advertising agencies and corporations, small businesses and increasingly, direct to consumers.

Getty Images works with over 496,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport, and entertainment events around the globe. With over 495 million assets, of which over 320 million are digitized, encompassing the latest global news, sports, celebrity, music and fashion coverage; exclusive conceptual creative images; and the world’s largest commercial archive. New content is added daily, with 8-10 million new assets added each quarter.

Getty Images offers the most exclusive and unique creative and editorial visual content globally. The breadth and quality of our content allow our customers and partners to tell their stories with greater creativity and accuracy, thereby eliciting more emotion and enabling more action. Getty Images moves the world —whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving. Getty Images offers the highest quality and most diverse visual content, based on industry-leading expertise and innovation.

Leadership Principles

As a company, we're committed to living these Principles every day. Here's how we support our mission to be the best place to work globally.

We are trustworthy, transparent, and honest
We love character, authenticity, and integrity.

We always raise the bar
Excellence is our norm; we get better through endeavor, curiosity, and speed.

We collectively bring solutions
We love debate, but collaborating to solve problems for ourselves and our customers is everyone’s responsibility.

We care, are kind, courteous, and respectful
We will not tolerate rudeness.

We reject biased behavior and discrimination
We seek to understand biases in all forms. We call out biases and discrimination when observed and take action where responsible.

We are inclusive of different voices, perspectives, and experience
Diversity and inclusion are never done, but we are passionate in their pursuit.

We are one Getty Images with no silos
We share goals and accountability; we and actively seek information and expertise; we make time for our peers.

We deliver on our commitments, and commercial goals
With one voice and shared accountability.

We put the customer at the heart of everything we do
We listen to, anticipate, and exceed customer needs, adapting as they evolve.

We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Women, gender-nonbinary, people of color, LGBTQIA+ people, and people with disabilities are encouraged to apply.

Getty Images is committed to providing Reasonable Accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance to search for a job opening or submitting an online application, please email RecruitingAccommodations@gettyimages.com.

Visit Getty Images at www.gettyimages.com to learn more about how the company is advancing the unique role of still and moving imagery in communication and business, and enabling creative ideas to come to life.

For company news and announcements, visit our Press Room, and for the stories and inspiration behind our content, visit Stories & Trends.

Find Getty Images on Facebook, Twitter, Instagram, LinkedIn, Pinterest and Tumblr, or download the Getty Images app where you can explore, save and share the world's best imagery.

Getty Images is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to 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. Getty Images believes that diversity is critical to our success in moving the world with images and is committed to creating an inclusive, mutually respectful environment that celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs.


Senior Data Scientist Product Analytics

We are looking for a Senior Data Scientist to drive analytics efforts targeted at enhancing end user experience within Spring Health's software applications. You will be embedded in a product development team focusing on member activation which ensures that Spring Health benefit-eligible employees embark on their mental health journey in the most appropriate and effective way. In this role, you will help your team to uncover and prioritize new product opportunities and make impact across the entire initiative launch cycle - from experiment and data collection design to synthesizing actionable learnings and possible next steps post-launch.
What you’ll be doing day-to-day:

Participate in strategic discussions and continuous refinement of the concept for the best-in-class early mental health journey experience and member-caregiver alliance

Collaborate with product development and member marketing leads on defining key indicators of the quality of our member activation and uncovering opportunities to improve the user experience

Ideate and design A/B tests to evaluate new product features and member communications

Define product telemetry that enables seamless reporting and analysis

Build necessary data models and insightful, automated dashboards to monitor and root-cause key product metrics trends

Actively participate in prioritization and roadmapping discussions

Lean into appropriate advanced methods, from advanced experimentation techniques to causal inference and statistical modeling, for deep-dive analyses around member engagement patterns

Participate in the development of data-centric product features like search and personalized recommendations

What we expect from you:

5+ years of professional experience in a data role (data analyst, product analyst, data scientist, or similar), and at least 2 years of experience working with and defining product or growth metrics

Hands-on experience with experimentation or hypothesis testing

Previous exposure to product development/design process in the context of a software product

Proficiency with SQL and experience with Python or R

Comfort with wrangling telemetry/event logs data

Experience working with BI tools (e.g. Looker, Tableau, Metabase) and product analytics SaaS tools (e.g. Mixpanel, Amplitude, Heap, etc.)

Excellent verbal and written communication skills to guide and make recommendations to technical and non-technical business users

Proven ability to proactively manage your own priorities and dependencies in alignment with cross-functional dependencies and product/business impact in a fast-paced environment

Passion for successfully navigating ambiguous problem areas and learning new approaches

General willingness to occasionally travel (at least 1x/year) to NYC for collaborative sessions/offsites with the team

What we’d love to see (bonus):

Exposure to building and/or evaluating ML or heuristics-based recommendation algorithms, tuning search and sorting algorithms is preferred
Some level of comfort with data modeling and pipelining via dbt or similar tools

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

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

And…

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

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

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

Supporting you and your family:

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

Supporting you financially through:

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

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

Creating a culture you can thrive in:

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


Data Scientist

So, what’s the role?
At Kin, we are modernizing and simplifying a 100-year-old industry through the use of data & technology. The data science team at Kin is a centralized department supporting the rest of the organization, including underwriting, claims, insurance product, operations, finance, and marketing. The Data Scientist role will build machine learning and AI models to deliver value to all these business units and more. We want to hire someone with a diverse methodological skill set, who enjoys digging into data and using it to solve business problems, whatever they may be. Because we are building the team, there is ample opportunity for creative freedom and flexibility.
A day in the life could include:

Development of GLM and tree-based models to predict profitability of each insured.
Working with data engineering & business intelligence to develop modeling datasets, and contributing to the buildout of these data models
Build ensemble algorithms to predict customer retention & conversion
Automation of Kin’s direct mail strategy
Creation of a lifetime value model to prioritize marketing by person/property and marketing initiative
Researching advanced AI techniques to advance the industry, including building a computer vision model, and developing state of the art NLP models to interpret documents and assist in claims handling.
Ideating Machine Learning use cases with business partners; gathering requirements, testing feasibility, etc.

I’ve got the skills… but do I have the necessary ones?

Bachelor’s degree or Masters in Machine Learning, Statistics, Mathematics, Computer Science, Economics, or a related field
Masters / PhD in a technical field preferred
Experience developing GLMs & tree-based models
2-5 years working experience developing ML models
Insurance experience preferred
Experience interfacing with business partners to define data science projects and solutions
Must have experience in applied mathematics or statistics
Experience in programming in Python and understanding of the software development life cycle
Excellent communication skills, both oral and written
Familiarity with natural language processing models a plus
Interest or experience in highly regulated and / or startup environment(s)
Passion for telling stories with data

Oh, and don’t worry, we’ve got you covered!

Medical, Dental, Vision, Disability and Life Insurance
Flexible PTO policy
Remote work
Generous equity package
401K with company match
Parental leave
Continuing education and professional development
The excitement of joining a high-growth Insurtech company and seeing your work make an impact


Data Scientist Vitality Senior

#TeamNextdoor
Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on.
Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 305,000 neighborhoods across 11 countries.
Meet Your Future Neighbors
As a Data Scientist at Nextdoor, you will be responsible for design and oversight of product experiments, own complex analysis to drive company and product strategy, and deploy online and offline models to a production environment. We use a semi-embedded team structure, in which a group of data team members works on a specific product or pillar, interfacing directly with product and engineering stakeholders. The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as psychology, geology, physics, and statistics. We are the mathematical decision scientists for their product development organization and play an active and collaborative role in building and improving the product.
The Impact You’ll Make
As a Data Scientist on the Vitality team, you will focus on our content moderation system by using data-driven insights in close collaboration with our ML engineering team and Infrastructure teams, developing models to understand user engagement, causal effects, and content ecosystem. You will define and own the ways we measure success for the team.
You will be part of the broader Vitality Pillar at Nextdoor that works to ensure our neighbors are safe and promote kind engagement on the platform . We are looking for an entrepreneurial and driven data scientist to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as product, engineering, design to develop and deliver metrics, analyses, solutions, and insights.
Successful candidates will exhibit technical acumen, product sense and business savvy, with a passion for making an impact through timely execution. You are keen on building a deeper understanding into ML algorithms and ranking/recommendation systems.
Your responsibilities will include:

Design and develop algorithms and models to optimize our content moderation ecosystem
Experiment design: Make sure we run experiments efficiently and accurately, including monitoring early feature development through tracking post-release follow-ups
Develop and share key strategic insights through data analysis, evaluating the performance and impact of the product team
Build scalable metrics and dashboards to inform product strategy
Partner with cross-functional teams to support product development efforts (including product, design, engineering, marketing, and operations)
Care deeply about data quality and empowering employees to leverage data to help them succeed in their careers and help Nextdoor grow

Requirements

4+ years of relevant work experience. MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.
Experience in applied statistics and statistical modeling in at least one statistical software package, preferably R/Python
Experience in designing trustworthy experimentation and analyzing complex product a/b testing results
Deep understanding of ML models and preferably experience in production model deployment
Expert knowledge of SQL, Python programming, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn
Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives and compile compelling narratives
Ability to solve ambiguous business problems with structured analytics framework
Innate curiosity around finding meaningful insights that inform the way we think about and develop both our product and our business strategies

Bonus Points

Experience working in Trust & Safety and/or content moderation space

Rewards
Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package.
The starting salary for this role is expected to range from $145,000 to $237,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography.
We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date.
Overall, total compensation will vary depending on your relevant skills, experience, and qualifications.
We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care.
At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we seek to serve. We encourage everyone interested in our purpose to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.
#LI-Remote


Director Data Science

Circle is a global financial technology firm that enables businesses of all sizes to harness the power of digital currency and public blockchains for payments, commerce and financial applications worldwide. Circle platforms and products provide a suite of internet-native financial services for payments, treasury infrastructure and capital formation. Circle is also a principal developer of USD Coin (USDC), which has become the fastest growing dollar digital currency in the world. USDC has grown to over 44+ billion in circulation and supported over $1.7+ trillion in transactions in the past year. Circle’s payments and treasury infrastructure services available through the Circle Account and APIs helps bridge the legacy financial system and digital currency and blockchain based finance. Combined, Circle’s suite of services helps companies to participate in a more open, global and inclusive financial system.
What you’ll be part of:
With the mission “To raise global economic prosperity through the frictionless exchange of value,” Circle was founded on the belief that the internet, blockchains and digital currency will rewire the global economic system, creating a fundamentally more open, inclusive, efficient and integrated world economy.  We envision a global economy where people and businesses everywhere can more freely connect and transact with each other with new technologies for digital money and internet-native finance. We believe such a system can raise prosperity for people and companies everywhere. Our mission is powered by the values we espouse and which we expect all Circlers to respect. We are Multistakeholder, serving the needs of our customers, our shareholders, our employees and families, our local communities and our world. Furthermore, we are also Mindful, Driven by Excellence, and High Integrity.
What you’ll be responsible for:
As a Director, Data Science at Circle, you’ll work closely with the Business, Product, and Engineering to produce analysis, machine learning solutions, and scalable data practices. You’ll have the opportunity to significantly impact internal data consumption and decision making. We are a passionate team with a deeply analytical mindset, and your work will support us in our mission to be a world-class company driven by data.
What you'll work on:
Drive data science efforts, communicate cross-functionally, and be a subject matter expert
Create road maps and help prioritize data science work
Support the individual and career growth of team members to minimize attrition and maximize output
Partner with product and operations teams to identify and resolve analytical problems at scale in a variety of domains, including crypto ecosystem understanding, fraud detection, and risk management
Help your team ideate and execute on the right analysis, models, and stories
Become an expert on data sources and flows at Circle
Evangelize the power of data science to understand and improve our business and operations.
You will aspire to our four core values:
Multistakeholder - you have dedication and commitment to our customers, shareholders, employees and families and local communities.
Mindful - you seek to be respectful, an active listener and to pay attention to detail.
Driven by Excellence - you are driven by our mission and our passion for customer success which means you relentlessly pursue excellence, that you do not tolerate mediocrity and you work intensely to achieve your goals.
High Integrity - you seek open and honest communication, and you hold yourself to very high moral and ethical standards.  You reject manipulation, dishonesty and intolerance.
What you'll bring to Circle:
12+ years of industry experience working with and analyzing large data sets
5+ years of experience with technical leadership and people management
Knowledge of a scientific computing language (Python) and SQL
Theoretical and applied expertise in statistics, experimental design, and analysis
Strong communicator who can take complex ideas and methodologies, and simplify them for non-technical audiences
Ability to understand complex business problems and break down analytics projects into a structured approach
Track record of developing, managing, retaining data scientists individual contributors and managers
Experience managing remote teams
Additional Information:
This position is eligible for day-one PERM sponsorship for qualified candidates.
Circle is on a mission to create an inclusive financial future, with transparency at our core. We consider a wide variety of elements when crafting our compensation ranges and total compensation packages.
The compensation range below is specific to Washington, D.C. Actual starting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations.
Base Pay Range: $230,000 - $315,000
Annual Bonus Target: 20%
Also Included: Equity & Benefits (including medical, dental, vision and 401(k)). Circle has a discretionary vacation policy. We also provide 10 days of paid sick leave per year and 11 paid holidays per year in the U.S.
We are an equal opportunity employer and value diversity at Circle. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
#LI-Remote


Data Scientist Intern

    It takes powerful technology to connect our brands and partners with an audience of nearly 900 million. Whether you’re looking to write mobile app code, engineer the servers behind our massive ad tech stacks, or develop algorithms to help us process trillions of data points a day, what you do here will have a huge impact on our business—and the world. Want in?We're looking for world-class, data geeks to join our team where you will have the opportunity to build on top of our world-class advertising data systems to drive new insights around campaign effectiveness, sales forecasting, and advertising platform robustness.  As a Data Scientist you will leverage the latest machine learning and data science techniques to produce validated solutions for us in our advertising platforms to help drive revenue and sales.Your Day
Exploring large data sets for relationships, insights, and anomalies
Explore and build machine learning models to explain the past or predict the future
Derive actionable insights from data to drive data-driven decisions
Work with product managers  and engineers to tackle business challenges on advertising domain
You Must Have
Currently pursuing M.S. in Computer Science, Control Theory, Electrical Engineering, Statistics, Applied Mathematics, or a related quantitative field
The ability to excel in abstract and statistical thinking while deeply grounded in solid business judgment
Interpersonal communication and relationship skills including the ability to explain complex analytical concepts to non-experts
Data Science experience in solving classification and clustering problems on the web, performing information retrieval from unstructured and semi-structured data set, and building supervised and semi-supervised learning solutions, recommendation engines and user behavior modeling (Personalization)
Proficient programming skills in languages and frameworks such as Java, Python, and R
Experience with big data technologies such as Hadoop (Pig/Hive), Spark, or other related technologies
Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form (www.yahooinc.com/careers/contact-us.html) or call 408-336-1409. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.At Yahoo, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion (www.yahooinc.com/diversity/) page to learn more.US Only: Please be aware that Yahoo requires all employees entering a U.S. Yahoo office and/or attending a company event (including client events) are required to be vaccinated for COVID-19.  This position will require the successful candidate to obtain and show proof of a vaccination to enter a U.S. Yahoo office and/or attending a company event (including client events).  Yahoo is an equal opportunity employer, and will provide reasonable accommodation to those individuals who are unable to be vaccinated consistent with federal, state, and local law.The compensation for this position ranges from $45,760.00 - $135,200.00/yr and will vary depending on factors such as your location, skills and experience. The compensation package may also include incentive compensation opportunities in the form of discretionary annual bonus or commissions, in addition to equity incentives.  Yahoo provides industry-leading benefits including healthcare, 401K savings plan, company holidays, vacation, sick time, parental leave and an employee assistance program. Eligibility requirements apply.Yahoo has a high degree of flexibility around employee location and hybrid working. In fact, our flexible-hybrid approach to work is one of the things our employees rave about. Most roles don’t require specific regular patterns of in-person office attendance. If you join Yahoo, you may be asked to attend (or travel to attend) on-site work sessions, team-building, or other in-person events. When these occur, you’ll be given notice to make arrangements. If you’re curious about how this factors into this role, please discuss with the recruiter.Currently work for Yahoo? Please apply on our internal career site.


Principal Data Scientist I

** Please note that we are open to hiring remotely within the United States, Canada or South Africa for this role **
Are you looking to develop your Data Scientist career?
Do you enjoy coaching others to achieve high standards?
Join us in shaping a more just world.
About Us:
LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities.
About the Role:
As a Senior Data Scientist, you will become a subject matter expert, defining projects and their execution. Leading small teams of indirect reports, you'll influence and mentor teams in best practices and methodologies.
For this role, we are seeking candidates who are highly experienced  inleading the development and deployment of advanced AI and machine learning models. The ideal candidate will have a deep understanding of machine learning algorithms, experience working with large datasets, and a track record of delivering high-quality results. You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions.
Responsibilities:
Leading the development of advanced AI and machine learning models to solve complex business problemsWorking closely with other data scientists and engineers to design, develop, and deploy AI solutionsCollaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needsAnalyzing large datasets to identify patterns and trends that can inform AI developmentCommunicating findings and insights to stakeholders in a clear and concise mannerStaying current with the latest AI and machine learning trends and technologiesMentoring junior data scientists and provide guidance on AI and machine learning best practicesDriving best practices across our data science functionsSetting strategy and team direction, with a clear vision for Data ScienceWorking with product leaders to apply data science solutions.Evaluating and creating new frameworks and defining methodologies and governanceLeading small- to medium-sized teams (direct or indirect)Setting a high-bar for model development
Requirements:
Have substantial experience in a senior data scientist roleHave experience in leading complex projects and customer relationshipsHave significant experience in managing larger Technical teams (direct or indirect)Have experience in mentoring or training others, acting as a subject matter expert to guide colleaguesBe a natural problem solver, able to take a lead in collaborating to resolve issuesHave excellent communication skills and the ability to convey information clearly to senior stakeholders
Highly Desired Skills and Experience:
PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field10+ years of experience in AI and machine learningDeep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forestsExperience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.Experience with reinforcement learning, prompt engineering, hallucination mitigationWorking understanding of the business risks associated with applying LLM in a businessExperience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)Strong coding skills in Python or another programming languageExcellent communicator, with the ability to translate complex technical concepts to non-technical stakeholdersStrong problem-solving skills and the ability to think outside the box


Senior Data Scientist Iii

** Please note that we are open to hiring remotely within the United States, Canada or South Africa for this role **
Are you looking to develop your Data Scientist career?
Do you enjoy coaching others to achieve high standards?
Join us in shaping a more just world.
About Us:
LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities.
About the Role:
As a Senior Data Scientist, you will become a subject matter expert, defining projects and their execution. Leading small teams of indirect reports, you'll influence and mentor teams in best practices and methodologies.
For this role, we are seeking candidates who are highly experienced  inleading the development and deployment of advanced AI and machine learning models. The ideal candidate will have a deep understanding of machine learning algorithms, experience working with large datasets, and a track record of delivering high-quality results. You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions.
Responsibilities:
Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.Analyzing large datasets to identify patterns and trends that can inform AI development.Communicating findings and insights to stakeholders in a clear and concise manner.Staying current with the latest AI and machine learning trends and technologies.Mentoring junior data scientists and provide guidance on AI and machine learning best practices.Acting as the primary driver of analytic project and resultsLeading code reviews and acting as a final approver of models before reaching customersSetting a high-bar for model developmentEvaluating and creating new frameworks and defining methodologies and governanceManaging small- to medium-sized teams (direct or indirect)
Requirements:
PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field.7+ years of experience in AI and machine learning.Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc. Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.Experience with reinforcement learning, prompt engineering, hallucination mitigationWorking understanding of the business risks associated with applying LLM in a businessExperience working with large datasets and distributed computing systems (e.g., Hadoop, Spark).Strong coding skills in Python or another programming language.Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders.Strong problem-solving skills and the ability to think outside the box.Have experience in leading complex projects and customer relationshipsHave substantial experience in a data scientist role, with an aptitude to manage othersHave experience in mentoring or training others, acting as a subject matter expert to guide colleaguesBe a natural problem solver, able to take a lead in collaborating to resolve issuesHave excellent communication skills and the ability to convey information clearly to a wide audience


Data Science Intern

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

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

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

Earn Happy Customers

Our success comes from anticipating their needs and providing the solutions they’re looking for.

Better is Better

The path to great means getting better every day. We push ourselves, and each other, to remain curious and think differently.

 PhD in Moving Fast

Our customers are tired of long wait times and large student loan bills so we constantly seek out ways to deliver faster.

 Passion for Challenges

Perseverance and optimism are just the start to take on the inertia of a national trillion-dollar problem.

 Impact is a Team Sport

We maximize our impact when we act as one team.

Our Earnie's are fun, innovative, and willing to roll up their sleeves to help their team succeed in a fast-paced environment. If this sounds like you, and you want to join us on our mission to radically disrupt a trillion dollar fintech industry, keep reading to find out how.
Your commitment

The summer internship program is 10 - 12 weeks; from June - August.

You will have the opportunity to meet with our highly skilled and passionate Earnies daily. Your ideas, creativity, and dedication to our mission will be front and center with everything that you do. We are not going to be asking you to deliver coffee and bagels, you will be an active participant in projects that are working toward achieving our mission. Plus, at the end of your internship at Earnest, you will get to showcase all of your successes company-wide through our Internship Showcase.

Our ideal candidate will be passionate about our mission and will be able to reflect our values in everything you do at Earnest. You will be part of a remote first culture that stays connected in a fast-paced environment through our values.

This is your opportunity to gain real work experience, be part of a Best Place to Work company, and build your skillset.
Impact of this role:
As a Data Science Intern, you will report to the Senior Data Scientist and will:

You will leverage Earnest’s unique data, standard marketing datasets, and modern statistical and data visualization techniques to better understand Earnest’s funnel behavior
Work on customer segmentation and derive useful insights for product and design stakeholders for better decision making
Work on ML algorithms and Markovian models to build causal relationships in the funnel events to understand user behavior
Work cross functionally with Data Eng, Product and Marketing to understand and resolve important problems faced in a fast-paced environment

Ideal background and expertise:

You will work remotely for 12 weeks starting in June 2023 as a paid intern
1+ years in R/Python and SQL
1+ years professional experience in model development and/or data analytics (or Master's degree in Data Science, Operations Research, Industrial Engineering, Economics or a related quantitative field)
Passionate about probability and statistical inference and some experience with AB testing
Deep understanding of classification, regression and forecasting models and AB testing
Experience working in a cross-functional environment with teamwork and excellent communication skills

At Earnest, we are committed to building an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity, inclusion, equity, and belonging enables us to move forward with our mission. We are dedicated to adding new perspectives to the team and encourage anyone to apply if your experience is close to what we are looking for.
Earnest provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. Qualified applicants with criminal histories will be considered for the position in a manner consistent with the Fair Chance Ordinance.
#LI-GA1


Data Scientist Research

Role: Data Scientist, Research
Reports to: Director of Infrastructure
Department: Infrastructure
Location: Remote, United States (US)

Help us Shape the Future of Data
Anaconda is the world’s most popular data science platform. With more than 30 million users, the open source Anaconda Distribution is the easiest way to do data science and machine learning. We pioneered the use of Python for data science, champion its vibrant community, and continue to steward open-source projects that make tomorrow’s innovations possible. Our enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness the power of open source for competitive advantage and groundbreaking research.
Anaconda is seeking people who want to play a role in shaping the future of enterprise machine learning, and data science. Candidates should be knowledgeable and capable, but always eager to learn more and to teach others. Overall, we strive to create a culture of ability and humility and an environment that is both relaxed and focused. We stress empathy and collaboration with our customers, open-source users, and each other.
Here is why people love most about working here: We’re not just a company, we’re part of a movement. Our dedicated employees and user community are democratizing data science and creating and promoting open-source technologies for a better world, and our commercial offerings make it possible for enterprise users to leverage the most innovative output from open source in a secure, governed way.
Summary
Anaconda is seeking a Data Scientist, Research to join our rapidly-growing company. This is an excellent opportunity for you to leverage your experience and skills and apply it to the world of data science and machine learning.
What You’ll Do:

Act as the primary point of contact for teams across the company with data analysis questions
Facilitate resolutions for data interpretation questions that come in from across the company
Help teams select the best data source and evaluate the data in context for their specific questions
Create self-service documentation on data sources and data interpretation to improve data literacy across the whole company
Turn broad business questions into quantitative measurements and analysis
Communicate findings and insights to non-technical stakeholders in a clear and concise manner
Stay up-to-date with emerging data analysis tools, techniques, and trends
Collaborate with data scientists and data engineers to optimize data workflows and ensure data accuracy
Actively participate in data governance and quality control initiatives
Build dashboards and enable others to build their own

What You Need:

Proficient in Python and SQL for data analysis.
Ability to work collaboratively with many stakeholders across the organization.
Willingness to become an expert on the dashboarding and reporting tools in use.
Excellent communication skills to clearly present findings and insights to non-technical stakeholders.
Scientific mindset with the ability to explore data, formulate and test hypotheses, and turn vague questions into concrete measurements with well-documented limitations.

Embody our core values:

Ability & Humility
Innovation & Action
Empathy & Connection

Care deeply about fostering an environment where people of all backgrounds and experiences can flourish

What Will Make You Stand Out:

Proficient in Snowflake, Metabase, and/or Google Analytics
Familiarity with Airbyte, Prefect, and AWS primitives
Skilled in web scraping techniques
Demonstrated ability to build and publish a Python package

Why You’ll Like Working Here:

Unique opportunity to translate strong open source adoption and user enthusiasm into commercial product growth
On the cutting edge of enterprise application of data science, machine learning and AI
Collaborative team environment that values multiple perspectives and clear thinking
Employees-first culture
Flexible working hours
Medical, Dental, Vision, HSA, Life and 401K
Health and Remote working reimbursement
Paid parental leave - both mothers and fathers
Pre-IPO stock options
Open vacation policy and monthly company days off known as Snake Days
100% remote and flexible working policy – we embrace this fully through how we operate as a company.

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.


Data Scientist

Data Science problems are everywhere, but the talent is not. At Obviously AI, our vision is to turn every company into an AI company. We do this by providing businesses with access to world class, on-demand data science talent that helps them solve real business problems. On the back end, we empower data scientists with a set of internal groundbreaking tools to help them deliver results in minutes, not months. We’re a small, scrappy group of people with a strong bent toward failing fast, bias for action and attention to detail. We’re focused on doing the best work of our lives and believe in having a healthy separation of work and life. We keep working hours flexible and are building a hybrid team with most of us located in San Francisco, CA and others working remotely around the world.Obviously AI is backed by some of the top venture capital firms in the US, and you’ll be on the ground floor of a fast-growing company with a big mission.About YouAs a data scientist, you will be on the ground floor of an incredible opportunity to pair your R and Python mastery with industry’s key and critical business challenges. Obviously AI is currently used by several companies across the globe and our users deeply love the speed, reliability and customer care that we provide.You will have no shortage of interesting and exciting data science challenges that, when solved, can transform entire businesses around the world. Our ideal candidate for this role is someone who really wants to get their hands dirty in a small, scrappy team. You should be excited about the idea of solving different data science challenges everyday, educating non-technical users with the right information by boiling down complex AI concepts into layman terms and leading with a lot of autonomy and agency. You'll report directly to the founders, you'll be a key proponent of Obviously AI’s early success and have the equity (aka. "skin in the game") to make it worthwhile.Here are some other qualities we’re looking for in a perfect hire: You are a clear and creative thinker with excellent written and verbal communication skills. You can creatively articulate complicated concepts in layman terms.  You are comfortable with writing R and Python scripts to conduct data analysis, data pre-processing and feature engineering tasks. You love machine learning and data science, and are always up to speed with the latest developments in the space.  You possess the personality to easily connect and become familiar with new people. You work collaboratively but autonomously: asking for what you need, but not expecting micromanagement. You like processes and want to help build it, but you're also OK with the "organized chaos" of a small team. You're excited to build a career at an energetic startup, with an eagerness to learn and develop your skill set across a wide range of activities. You're comfortable communicating new ideas and experimenting without fear of failure. You're able to pick up new skills quickly, and adapt well to feedback on your work.  Interact with customers to explain technical concepts in layman terms. Troubleshoot model performance by reviewing model metrics (e.g. precision, recall, f1 score, etc.), exploring and recommending best practices for structuring dataset. Perform data cleaning and pre-processing on complex datasets. Incl. removing rows/cols, stripping values, changing units, normalization, imputing missing values, expanding cols, etc. Conduct feature engineering on customer datasets. Incl. creating new cols out of existing cols, running statistical functions on rows/cols, working on transforming columns, etc. Analyze large amounts of information to discover trends and patterns. Build predictive models and machine-learning algorithms (with Obviously Al's No-Code tool). Propose solutions and strategies to business challenges. Collaborate with engineering and product development teams. Update and manage technical support tickets and requests. Bonus Experience working with small (Seed to Series A) startups. Experience working on a data science or AI product. Experience working on a self-serve, product-led SaaS product  Equity Package Unlimited PTO Training & Development Company Swag


Senior Data Scientist Linguistic Expert

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm.  Our consultants bring deep expertise in Data Science, Machine Learning, and AI.  We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.   As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive the current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. Effectively communicate the analytics approach and how it will meet and address objectives to business partners.  Advocate and educate on the value of data-driven decision making; focus on the “how and why” of solutioning. Design and evaluate linguistic ontology for text/speech data labeling (to be done by human annotators and used for ML training data). Write scripts to pull and prepare data from logs for linguistic analysis Communicate LDL (Language Design and Labeling) perspective to engineering and product teams at both low (technical) and high (business) levels. Occasionally contribute to AI/ML research discussions and brainstorming sessions. Especially concerning neural network-based approaches, as well as content retrieval and ranking. Understand in detail both linguistics and ML components of the project to facilitate cross-team communication and collaborative work  Stay connected with external sources of ideas through conferences and community engagements.  Bachelor's Degree in Data Science, Computer Science, or a related field 2+ years of Data Science and Machine Learning experience required Strong python scripting and excel skills for data manipulation and analysis Experience working with Linguistic Data. Proficiency with Statistics and Machine Learning concepts and modeling techniques to solve problems such as clustering, classification, regression, anomaly detection, simulation, and optimization problems on large-scale data sets REST API Knowledge Ability to apply various analytical models to business use cases (NLP, Supervised, Un-Supervised, Neural Nets, etc.) Exceptional communication and collaboration skills to understand business partner needs and deliver solutions Basic knowledge of Databricks, S3, Elasticsearch. Theoretical linguistics (syntax and semantics) knowledge is a plus. Experience with and understanding of intent classification and slot filling This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.


Head Of Data Science

Tesorio has created a platform to help the Fortune 5,000,000 run as if they had a Fortune 500 finance team. We plug into a company’s data sources about cash in/out and our job is to leverage data science to surface the most impactful actions they can take to optimize their cash flow—and let them implement those actions with the click of a button.

We’re looking for a talented leader for our small but mighty data team to help us ideate, design, and implement impactful data-driven features and reinvent how complex financial transactions can be simplified to the click of a button.

We are developing machine learning algorithms to understand business cash needs, predictive algorithms to forecast future cash flow, and a sleek UI/UX to make our products enjoyable to work with. You’ll be joining an early-stage company with a small, tight-knit team, backed by top-tier VCs (including First Round, Floodgate, Fuel and Y Combinator). You’ll work closely with the entire engineering team and the co-founders. Learn more at tesorio.com.

About You

[Modeling / ML] Excited by solving hard technical statistical modeling and machine learning problems. Constantly stretching your toolbox of capabilities.  Specific experience or knowledge in forecasting a big plus.
[Strategy] Adept at partnering with product and engineering leadership to establish a clear strategy for data driven products and features
[Product Experience] Enjoy building data products that elegantly leverage math/stats/machine learning to delight customers.
[Hands on] Experience (preferably in AWS) deploying large-scale, production machine learning systems.  Proficient with production code delivery in our current stack, which includes Astronomer/Airflow, S3, Snowflake, DBT, python, sci-kit learn, and Metabase
[Startup mindset] Enjoys working on challenges in a fast-paced startup environment and delivering value to customers and to our business

Ideal Candidate

B.S./M.S. in Computer Science or equivalent experience preferred
8+ years of work experience, including 2+ as a manager of DS/ML in a strategic role
Excited to lead a small but highly impactful and strategic team
Player-coach who can make an impact either as a hands-on contributor or as a manager for their team
Expert at translating strategy and ideas into concrete deliverables to move the needle for the business
Strong communications skills
Solid understanding of forecasting with time series / machine learning / deep learning techniques and tabular data

Exciting Projects

[Visualization] Help our users get deeper understanding of their customers based on their payment profiles
[Predictive] Build large scale models with top banking partners to enable their customers to forecast and understand their cash flow
[Visualization] Discover trends in how companies are growing and understand their financial situation
[Language models] Leverage GPT language models to improve efficiency for our customers (e.g by performing sentiment analysis and suggesting email responses).
[Matching/Recommendation] Enable customers to automatically match payment transactions from various data sources


Sr Insurance Data Scientist

Our Value Proposition:
Clearcover is a venture-backed technology start-up disrupting the trillion-dollar legacy insurance market. We’ve focused on building products that create confident, happy customers - and we’re flourishing. We believe in putting our people first, paying them well, and working together to solve tough problems. If you’d like a high-growth opportunity with an award-winning company, let’s chat.
What are we looking for in a Sr. Insurance Data Scientist?
We're looking for a self-starter to help build and evaluate our pricing algorithms to enhance our risk segmentation. Working alongside our actuarial and insurance product management teams, you'll leverage statistical techniques to more accurately segment our customers and build new pricing features.
What will you do as a Sr. Insurance Data Scientist?

Build and evaluate pricing and unit economic component models
Develop risk segmentation recommendations that find the right balance between growth and unit economics
Collaborate with the Insurance Product, Product, Marketing, and Machine Learning functional areas to attract the right customers at the right time
Democratize data and insights to facilitate data-driven decision-making

What will you bring as a Sr. Insurance Data Scientist?

3+ years of experience with applying advanced quantitative or predictive modeling techniques
Experience in Property and Casualty is required.
Actuarial experience is a plus.
Exceptional analytical, quantitative, and problem-solving skills with a deep intellectual curiosity and an ability to make data-based decisions
Strong programming skills with experience in SQL, R, and Python
Excellent communicator and willingness to challenge the status quo
Alignment with Clearcover core values

Did you know that women and minorities are less likely to apply to a position if they don’t match 100% of the job qualifications? Don’t let that be the reason you miss out on this opportunity! We encourage you to apply anyway. Don’t count yourself out!
But wait, there’s more:
As a people-first company, your health and well-being is a priority at Clearcover. We offer comprehensive benefits for individuals and families:

Medical. We offer rich and affordable BCBS plans for you and your dependents. If you select the high deductible health plan, we offer an HRA and contribute to your HSA.
Dental and vision. We cover 100% of dental and vision premiums for you and your dependents.
Pre-tax benefits, disability, and life insurance.
401(k). We contribute 3%, even if you contribute nothing.

We’ve also curated a stack of perks and benefits that stretch beyond the expected. Our people have access to:

Generous vacation, 12 paid holidays, and parental leave.
Equity in the company (plus an evergreen plan) and an annual bonus program.
Employee resource groups, live yoga, and mental health workshops.
Top of the line hardware, snack stipends, and meeting free “Focus Fridays”.

We’re a remote first company, having paved the way for flexible work locations and continue to offer this flexibility. If you are local or in town visiting, you also have the choice to work from our Chicago HQ office.
Because we are a remote first company, we ask that your internet can keep up with our pace.

Remote employees are eligible to work from: AZ, CO, CT, FL, GA, IA, IL, IN, KS, MA, MI, MN, MO, NC, NJ, OK, SC, TN, TX, UT, VA, WI.

To top it all off, if Clearcover is available in your state, you could have access to an employee discount on auto-insurance! Excited to learn more? Complete the application below!
Clearcover is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.