Lead Data Scientist Search And Personalization

Notice:
Several false job solicitations are circulating via email and social media purporting to be official Getty Images communications.  While our staff may initially contact you via social media if your experience is relevant to a posted role, we will never issue job offers or request personal financial information via social media. Further, all outreach will include the Getty Images’ employee email and phone contact. As a reminder, all career opportunities can be found here.

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:
For over 25 years, Getty Images has embraced disruption and change; riding the digital wave to evolve from a fragmented, analog stock photo business into a multi-billion dollar, global e-commerce industry leader and trusted brand. The breadth and quality of our content has always allowed our customers and partners to tell their stories with greater creativity and accuracy, eliciting more emotion and enabling more action.

Help us move the world with images!
Getty Images is the most trusted and esteemed source of visual content in the world available through its industry-leading sites www.gettyimages.com and www.istock.com. The Getty Images website serves creative, business and media customers in almost 200 countries and is the first-place people turn to discover, purchase and share powerful content from the world's best photographers and videographers.

Getty Images works with over 360,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport and entertainment events, impactful creative imagery to communicate any commercial concept and the world's deepest digital archive of historic photography. With over 440 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 allows 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.

Lead 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 Senior 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.

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 behaviour 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 to submit 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 which celebrates diversity. We seek to hire on the basis of merit, competence, performance, and business needs.


Data Science Manager Machine Learning Causal Inference

What You'll Be Doing
Develop and own the roadmap & prioritization for predictive modeling and causal inference to understand user dynamics on the platform
Mentor and guide the team to use state-of-the-art machine learning and causal inference techniques to provide a deeper understanding of the product, users, and communities.
Influence our experimentation platform decisions, best practices, and experimentation accuracy
Inform the direction of our ML & CI tech stack through collaboration with our Data Platform team
As a member of our Data leadership team, inform architectural decisions, establish best practices, develop lean scalable processes, and contribute to the overall direction of the Data organization at Discord!
You Will Thrive In This Role If
3+ year of people management experience in ML & CI domains; track record of leading successful teams in a cross-functional & collaborative environment
PhD in quantitative field and 6+ years of experience in using ML and/or CI techniques to make an impact on vague and challenging business problems.
4+ years of industry experience in developing, productionizing, and maintaining applied machine learning models for internal use cases (i.e. low SLA, batch models)
Expertise in the following domains: linear models, neural networks, tree-based models, and unsupervised learning
Proficiency with Python and SQL
Excellent communication skills, with the ability to explain complex findings and technical approaches to a variety of audiences.
Last but not least - a collaborative attitude and a healthy dose of natural curiosity!
Bonus Points
Experience in experimentation on social media or other consumer products with network effects (eg. cluster based testing)
Interest in conducting literature reviews, translating and championing best scientific practices to a wide range of functions across the company.
Experience writing technical articles related to machine learning & causal inference.
Experience with R.
Passion for Discord or online communities.
#buildbelonging
(New York City only*) Minimum salary of $206,000/year + equity and benefits Note: Disclosure as required by NYC Pay Transparency Law (Colorado only*) Minimum salary of $175,100 /year + equity and benefits *Note: Disclosure as required by sb19-085(8-5-20).
Benefits and Perks
Comprehensive medical insurance including Health, Dental and Vision (plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
16+ paid holidays, 4 weeks of PTO + use-what-you-need sick days
Paid parental leave (plus fertility, adoption and other family planning benefits)
Flexible long-term work options (remote and hybrid)
Volunteer time off
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
We’re working toward an inclusive world where no one feels like an outsider, where genuine human connection is a click, text chat, or voice call away. A place where everyone can find belonging. Challenging? Heck yes. Rewarding? Double heck yes. It’s a mission that gives us the chance to positively impact millions of people all over the world. So if this strikes a chord with you, come build belonging with us!
Apply Now


Senior Data Scientist Machine Learning

What You'll Be Doing
Apply state-of-the-art machine learning techniques to provide a deeper understanding of users, communities, and our product
Build predictive models on massive data sets to support high impact company initiatives
Ideate, communicate, and partner directly with product, engineering, and business teams to improve decision-making and drive impact
Collaborate with data and engineering teams to design scalable primitives and inform our technical infrastructure
You Will Thrive In This Role If You Have
Expertise in at least 2 of the following domains: linear models, neural networks, tree-based models, and unsupervised learning
2+ years of industry experience in developing and productionizing applied machine learning for internal use cases (i.e. low SLA, batch models)
Masters, PhD, or equivalent experience in a quantitative area such as Computer Science, Applied Stats, Math, Astrophysics, etc.
Proficiency with Python
Knowledge of SQL
Excellent communication skills, with the ability to explain complex findings and technical approaches to a variety of audiences
Desire to work with amazing, passionate technical and non-technical partners who care deeply about solving challenging problems to improve Discord for its users
Last but not least - a collaborative attitude and a healthy dose of natural curiosity!
Bonus Points
Experience visualizing and auditing model outputs to ensure models are performing as intended
#buildbelonging
(New York City only*) Minimum salary of $186,000/year + equity and benefits Note: Disclosure as required by NYC Pay Transparency Law (Colorado only) Minimum salary of $148,800/year + equity and benefits *Note: Disclosure as required by sb19-085(8-5-20).
Benefits and Perks
Comprehensive medical insurance including Health, Dental and Vision (plus up to $20,000 for gender affirmation procedures)
Mental health resources and quarterly wellness stipends
16+ paid holidays, 4 weeks of PTO + use-what-you-need sick days
Paid parental leave (plus fertility, adoption and other family planning benefits)
Flexible long-term work options (remote and hybrid)
Volunteer time off
A diverse slate of Employee Resource Groups
Plus commuter contributions and other perks for office-based employees
About Us
Discord is a voice, video and text app that helps friends and communities come together to hang out and explore their interests — from artists and activists, to study groups, sneakerheads, plant parents, and more. With 150 million monthly users across 19 million active communities, called servers, Discord has grown to become one of the most popular communications services in the world. Discord was built without selling ads or user data and instead, offers a premium subscription called Nitro that gives users special perks like higher quality streams and fun customizations.
We’re working toward an inclusive world where no one feels like an outsider, where genuine human connection is a click, text chat, or voice call away. A place where everyone can find belonging. Challenging? Heck yes. Rewarding? Double heck yes. It’s a mission that gives us the chance to positively impact millions of people all over the world. So if this strikes a chord with you, come build belonging with us!
Apply Now


Senior Data Scientist Us

Within3 B9Fca267 Fe83 4A35 950E D7Fbb501Cc3D

The Within3 data science department has an opportunity for a senior level data science/AI software engineer. We have an expansive natural language processing project where we are summarizing the most common ideas expressed in datasets of captured text. This position will own unsupervised text clustering projects, including the underlying k-means clustering methodology, automating the identification of the optimal number of clusters inherent to a dataset, and performing such text clustering on text data We build our data science software primarily in Python, but may move to C or C++ as needed.  We do not use R.  All code must be written robustly and efficiently with good object oriented programming skills, not quick-and-dirty throwaway scripts, and pass code reviews.  Writing efficient queries to databases, mostly Cypher/Neo4j and possibly SQL, will also be necessary. Strong communication skills, both verbal and written, are stressed on our team so that we can efficiently build our products and learn from each other in a professionally supportive business environment.Responsibilities: Research and develop the latest data science methodologies into proprietary software Develop and apply proprietary modeling software to build models with a multilayer perceptron, convolutional neural network, recurrent neural network, unsupervised training, language processing, and/or Word2Vec embeddings. Build and maintain graph databases that support customer applications Natural language processing Write and maintain excellent documentation of all work.  Python development, object-oriented programming, and packaging Machine learning design, especially with TensorFlow Natural language processing Database skills, especially Cypher/Neo4j Linux/Unix Basic Software DevOps (Git, GitHub, version control, test harness development) Basic AWS - Familiarity with the AWS Management console and managing data in S3 buckets) Docker - All development is required to be done with Docker to maintain a consistent development environments Ability to formulate creative, original, scientific solutions Strong requisite math and statistics education: Vector calculus, linear algebra, probability theory, statistical modeling Strong technical writing skills will be heavily stressed 5 years of experience is preferred Ph.D. in Computer Science, Math, Statistics, Physics, or closely related field strongly preferred Preferred Skills: Managing automated testing in GitHub Actions Managing and using other AWS resources, such as EC2 instances and Lambda Functions Mathematical writing in LaTeX Lower-level language development, such as C/C++, may arise Relational database design/SQL  100% Remote   Health Care Plan (Medical, Dental & Vision) 401K Life Insurance Paid Time Off (Vacation, Sick & Public Holidays) A work/life balance beyond compare. And we mean it! Within3 is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. We invite you to consider opportunities at Within3 regardless of your gender; gender identity; gender reassignment; age; religious or similar philosophical belief; race; national origin; political opinion; sexual orientation; disability; marital or civil partnership status or other non-merit factor.


Data Scientist Growth

About Us

The Athletic is a digital sports media company that brings true sports fans closer to the athletes, teams and leagues that captivate their attention. We serve a multi-faceted audience that craves a richer connection and understanding with immersive storytelling and a like-minded community of fans. Founded in 2016 and with major operational hubs in San Francisco, Los Angeles, London and Melbourne, we empower a truly global team of more than 600 creators and cover more than 250 professional sports and collegiate teams across the United States, Canada and the UK. Our newsroom has produced thousands of in-depth reports along with more than 120 podcasts and other forms of premium content. Put simply, The Athletic is at the center of a sports fan’s universe.

About the Role

We are looking for a data scientist who will bring and develop a deep understanding of user growth, user segmentation, paid marketing optimization, and LTV predictions to help us accelerate the growth of our subscription business and make our best-in-class product even better. In this role, you will work closely with our data, product, marketing, and engineering teams to develop advanced models that help us understand our business, optimize and automate our workflows, and help our product make smarter, more informed recommendations. As a member of our small data science team, your work will have a significant impact on our business strategy and how our subscribers use our product.

Responsibilities

Design, build, and implement mathematical models to drive key long-term business goals, including subscriber retention and offer revenue.
Train machine learning and data mining algorithms to solve problems across several teams.
Lead projects with hands-on analysis and modeling, drawing from multiple analytical methods to choose the right tool and right level of complexity appropriate for the job.
Use quantitative analysis to deeply understand what marketing and user data are saying, and to develop recommendations based on that analysis.
Design and develop data science pipelines in production.
Guide complex experiments.
Cultivate an outstanding analytics environment.
Evangelize and expand the impact of data science.

Requirements

2-3 years of experience as a data scientist with a proven ability to apply scientific methods to solve real-world problems on web scale data.
Strong working knowledge of a scripting language like R or Python.
Fluency in SQL.
Knowledge of statistical principles and how they apply to predictive modeling.
Ability to drive projects with minimal guidance and prioritize high-impact work.
Strong verbal and written communication skills with ability to build cross-functional relationships.
Can explain sophisticated concepts to diverse audiences and craft compelling stories.

Nice to Have

Familiarity with the AWS ecosystem.
Familiarity with Apache Airflow or other data workflow scheduling platforms.
Prior experience working with web-based subscription user data.

The Athletic Media Company is an equal opportunity employer and enthusiastically encourages people from all backgrounds and experiences to apply. The Athletic will consider all applicants without regard to race, religion, color, national origin, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other protected characteristic under applicable law.


Data Scientist

The Data Science team in Rackspace is formed by experts in the extraction of meaning and interpretation from data. This unique skill set requires ample knowledge of data engineering, the aid of statistical methods and machinery, but largely relies on analytical brain power. In Rackspace we have an immense amount of raw data which can rarely be utilized reliably and here is where the technical experts collect, clean, and validate their data driving actions out of it. The ability to scale, automate and think out of the box to solve complex business problems define the skills that we are looking for.

We are looking for a data scientist that will  help us discover the information hidden in vast amounts of data, and  help us make smarter decisions to deliver even better products. Your  primary focus will be in applying data mining techniques, doing  statistical analysis, and building Machine learning models that impact  the key areas of the business. This position will require expertise on  NLP, CI/CD, forecasting models, cloud computing, Kubernetes and Python.

This position is in charge of the phase 2 of development for Rackspace Natural Language Processing Machine Learning model (NLP) and to work on  the Continuous Improvement / Continuous development (CI/CD) platform  for  the deployment of Machine Learning and AI projects automatically  into production.

Required Experience

Selecting features, building and optimizing classifiers using machine learning techniques
Data mining using state-of-the-art methods
Extending company’s data with third party sources of information when needed
Enhancing data collection procedures to include information that is relevant for building analytic systems
Processing, cleansing, and verifying the integrity of data used for analysis
Doing ad-hoc analysis and presenting results in a clear manner
Creating automated anomaly detection systems and constant tracking of its performance
#LI-SB1
#LI-Remote

About Rackspace Technology
We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.

More on Rackspace Technology
Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.


Product Decision Scientist Iii

What is Calendly?
Calendly takes the work out of scheduling so our customers have more time to work on what’s really important. Our software is used by millions of people worldwide—with thousands more signing up every day. To maintain this exciting growth, we’re looking for top talent to join our team and help shape the future of our product.
Why join Calendly’s Product Research team?
The Product Decision Scientist will have a unique opportunity to join a quickly growing Product Research team to help us become a customer obsessed product organization with a data-informed strategy that is measured and validated throughout the development lifecycle. Decision Science empowers Calendly product teams to understand and quantify our impact to customers through meaningful and actionable product insights that drive product strategy and innovation.
We do this by guiding experimentation efforts and partnering with Product Managers and leaders in setting OKRs that help us impact our customers and the business. In partnership with Product Researchers, we better uncover insights within our rapidly growing and diversifying user base to build customer empathy and create a shared understanding of business performance and growth opportunities throughout the organization.  We develop best practices in experimentation, KPI measurement and goal setting. Decision Scientists are thought leaders in understanding critical business issues around activation, engagement, and retention through various methodologies such as growth modeling, cohort analysis, clustering, regression, and behavioral analysis. If you’re seeking an opportunity to tackle big problems and strongly influence product strategy, then this is the job for you.
What are some of the high impact opportunities you’ll tackle?

Drive decision science efforts within a product group or squad to inform leadership about retention drivers, growth strategy, and help define OKRs and our experimentation roadmap

Support efforts to roll out new practices or programs across the product organization to help us strengthen our analytics practice; these may include things such as data governance, experimentation, and KPI definition

Effectively communicate findings, results, and recommendations to leadership, product teams, and the company, tailoring the message the fit the needs of the audience you’re presenting to
Ensure data and insights are timely, trustworthy, and actionable to drive decisions across Calendly
Partner with Product Managers, Designers, Engineers, and other cross-functional teammates to define analytics and experimentation roadmaps, define KPIs, review results and business impact, and opportunity size future product initiatives; align analytics and research activities to inform decision-making and action
Represent the voice of the business goals and growth levers among cross-functional partners by highlighting product performance, retention drivers, user behaviors, and synthesize findings across multiple channels of data and customer feedback
Apply quantitative methods to uncover insights (including, but not limited to experimentation, statistical analysis,  cohort analysis, retention analysis, growth models, cluster analysis, and segmentation)
Synthesize large behavioral data sets and partner with Product Insights Researchers to create a complete picture of the Calendly customer, their behaviors, and needs
Define and maintain baselines of Features and identify opportunities for optimization and measure improvement over time
Serve as a SME in using and guiding others to use tools such as Optimizely, Heap, SQL/Redshift, and Segment
Create and maintain the dashboards in our BI platform and specify data integrations, tables/views, and/or gaps necessary to conduct robust cross-channel and cross-platform analysis

This opportunity is for you if you have/are:

At least 5+ years of experience in a product analytics, growth, strategy, or insights role
Previous experience at a SaaS company strongly preferred
A track record of helping cross-functional product teams identify and prioritize analytics needs and experimentation opportunities that will deliver high-quality, data-driven insights in a timely manner using the appropriate methodologies
Intermediate to Advanced SQL Skills
Experience in A/B testing statistics
Previous experience collaborating with others and creating insights from data and analysis
Comfortable with ambiguity in a rapidly growing and changing organization
Authorized to work lawfully in the United States of America as Calendly does not engage in immigration sponsorship at this time

If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please contact us at recruiting@calendly.com.
Calendly is registered as an employer in many, but not all, states. If you are not located in or able to work from a state where Calendly is registered, you will not be eligible for employment.


Senior Manager Data Science

About This Role
Discover. A brighter future.
With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.
Come build your future, while being the reason millions of people find a brighter financial future with Discover.
Job Description
What You’ll Do
Provide thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. This role will closely monitor performance metrics and KPIs to ensure goals are met and course correct as necessary.Manage a large team of high performing quantitative analysts and/or managers and will be responsible for ensuring the team stays motivated and engaged. He/she will manage team performance, coach and develop employees and hire the right talent. This role will identify, prioritize and supervise the team to flawlessly execute on initiatives, set strategic direction for the team on analytic initiatives as well as develop analytic core capability development that enable better decision making and nimble action.
How You’ll Do It
Provide thought leadership & strategic thinking to translate business problem into analytical framework(s) and independently recommend actions and provide business insights. Lead the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems.Operate as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application and financial impact analysis.Establish and maintain effective performance tracking; identify improvement opportunity, form hypothesis, proposes, designs and implement tests to drive strategy enhancement and optimization.Recruit, train, coach and develop talent to their full potential with exceptional quantitative/analytical competencies, as well as project management skill and leadership skills. Manage and set priorities of analyst, assign projects and allocate resource, communicate business performance and project progress to management & business partners.Collaborate with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Deliver effective presentations of findings and recommendations to multiple levels of leadership, creates visual displays of quantitative information. Facilitate implementation of work product and ensure accuracy.Ensure standard work processes and documentation requirements are timely and consistently followed by team. Encourage continuous improvement of team processes and share across functional teams to ensure consistency.
Qualifications You’ll Need
The Basics
Bachelor’s Degree in Analytics, Engineering, Statistics or related field8+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling or related field2+ years of experience in People Management
Bonus Points If You Have
Master’s Degree in Analytics, Engineering, Mathematics, Statistics or related field6+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling or related field
What are you waiting for? Apply today!
The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.


Lead Data Scientist

Apartment List is looking for a Lead Data Scientist to help us match the right renter with the right property at the right time! In this role, you’ll have the opportunity to consider and balance multiple optimization objectives for renters, property management companies and revenue. To do so, you will need to understand the journey through the lens of data, and separate the important features from the noise. You’ll have the opportunity to lead work focused on machine-learning models that bring in renters, rank potential properties to best match renter preferences, and pinpoint the motivations and intent of renters. On your journey, you will partner with Product, Engineering, Design, Analytics and Growth to develop, implement, and evolve our machine learning models and practice. Data Science is a new function at Apartment List, and you will partner with the Director of Data Science to build out the roadmap and team for maximum impact.
Here’s what you’ll do as part of the team:

Deeply understand the data and customer and business problems, in order to more closely align machine-learning model objectives and develop the best features and models to predict them
Deliver and deploy end-to-end machine-learning models, build measurement plans, learn and iterate to drive results
Apply a solid statistical mindset and best practices, in the collaborative process of model development, deployment and evolution
Mentor and develop Data Scientists to grow their soft and hard skills
Partner closely with Engineering, Product, Analytics, Growth and Design to develop and refine machine-learning models that drive the customer and business success
Communicate broadly, clearly and often the opportunities and the results of applying ML - to stakeholders at all levels of the organization

Here are the skills and experience you’ll need to be successful:

Experience with a broad set of statistical and machine learning methods to solve and optimize critical business problems and metrics
A degree in Computer Engineering, Mathematics, Statistics, Economics, Physics or related quantitative field with at least 4 years of industry experience in developing machine-learning models, and ideally leading projects and small teams
Strength both technically and theoretically in statistical learning and modeling, engineering, experimental design and analysis, causal inference.
Comfort and experience with communicating and collaborating with cross-functional audiences
Ability to quantitatively research and act on technical strategies, define clear scope, scale and timeline projects
Some mixture of SQL, Python and cloud (GCP preferred) experience will be essential
Familiarity with standard ML libraries and managed solutions and a strong ability to work through feature engineering, selection, hyper-parameter and model optimizations
A hunger to dig into uncharted territory and make a huge impact

And here is what’s in it for you:

An exceptional team: our hiring bar is absurdly high and your colleagues are talented, motivated, self- starters
An incredible opportunity to build out a critical function
A strong voice within R&D to influence our product and company strategy
A virtual-first culture that allows you to work from anywhere


Staff Data Scientist

Apartment List is looking for a Staff Data Scientist to help us match the right renter with the right property at the right time! In this role, you’ll have the opportunity to consider and balance multiple optimization objectives for renters, property management companies and revenue. To do so, you will need to understand the journey through the lens of data, and separate the important features from the noise. You’ll have the opportunity to lead work focused on machine-learning models that bring in renters, rank potential properties to best match renter preferences, and pinpoint the motivations and intent of renters. On your journey, you will partner with Product, Engineering, Design, Analytics and Growth to develop, implement, and evolve our machine learning models and practice. Data Science is a new function at Apartment List, and you will partner with the Director of Data Science to build out the roadmap and team for maximum impact.
Here’s what you’ll do as part of the team:

Deeply understand the data and customer and business problems, in order to more closely align machine-learning model objectives and develop the best features and models to predict them
Deliver and deploy end-to-end machine-learning models, build measurement plans, learn and iterate to drive results
Apply a solid statistical mindset and best practices, in the collaborative process of model development, deployment and evolution
Mentor and develop Data Scientists to grow their soft and hard skills
Partner closely with Engineering, Product, Analytics, Growth and Design to develop and refine machine-learning models that drive the customer and business success
Communicate broadly, clearly and often the opportunities and the results of applying ML - to stakeholders at all levels of the organization

Here are the skills and experience you’ll need to be successful:

Experience with a broad set of statistical and machine learning methods to solve and optimize critical business problems and metrics
A degree in Computer Engineering, Mathematics, Statistics, Economics, Physics or related quantitative field with at least 4 years of industry experience in developing machine-learning models, and ideally leading projects and small teams
Strength both technically and theoretically in statistical learning and modeling, engineering, experimental design and analysis, causal inference.
Comfort and experience with communicating and collaborating with cross-functional audiences
Ability to quantitatively research and act on technical strategies, define clear scope, scale and timeline projects
Some mixture of SQL, Python and cloud (GCP preferred) experience will be essential
Familiarity with standard ML libraries and managed solutions and a strong ability to work through feature engineering, selection, hyper-parameter and model optimizations
A hunger to dig into uncharted territory and make a huge impact

And here is what’s in it for you:

An exceptional team: our hiring bar is absurdly high and your colleagues are talented, motivated, self- starters
An incredible opportunity to build out a critical function
A strong voice within R&D to influence our product and company strategy
A virtual-first culture that allows you to work from anywhere


Senior Data Scientist

Our expansion has created the need for an energetic and motivated Senior Data Scientist to join our team. If you would like to work at a fast-paced company that is experiencing high growth, keep reading!
The Senior Data Scientist will play a vital and important role in product development by leveraging advanced analytic methods to add value to Definitive’s proprietary data assets.   The Senior Data Scientist for this opening will focus on designing, developing, and implementing advanced analytics within the product to further the Commercial Strategy goals of our clients.
The SDS will manage and lead multiple strategic product enhancements that provide insights focused on critical issues for our clients. The SDS will define project plans, guide and conduct research and analysis efforts, develop Commercial Strategy analytic framework, and coach and mentor junior data scientists.

 In this role, you will:

Synthesize large amounts of data into discrete stories and assumptions to determine the “so-what” for clients who use our product
Produce quality scalable analytics with minimal supervision and maintain high client satisfaction through proactive client interaction and engagement
Build therapeutic area and domain expertise to apply to scalable product solutions and thought leadership initiatives
Project Manage all aspects of assigned product enhancements including execution of key project activities
Lead and guide the work plan including oversight of quantitative analysis (e.g. forecasting, estimating) to obtain key insights and findings for the product
Oversee the work of junior Data Scientists
Work with senior staff to promote consistent operations, efficient use of resources and knowledge sharing / best practices
Demonstrate commitment to personal and professional development through trainings and/or unstructured sessions, as well as mentoring junior staff to assist in their growth
Contribute to the social environment by executing assigned firm-building activities including knowledge management, internal training sessions and assisting with recruiting top talent

Requirements

BA/BS in Statistics, Computer Science, or Engineering is required; MS, PhD preferred
Minimum 10 years of experience in applied Machine Learning, Natural Language Processing, or other Data Science methods within life sciences
Extensive Python, SQL, and Jupyter Notebook experience is required
Strong working knowledge of SQL in the cloud (Azure preferred, AWS or Google Cloud acceptable)
Proficiency across various consulting and research methodologies, including the execution of quantitative analysis and analytic modeling/forecasting
Domain Experience in Commercial Strategy and/or Pricing & Market Access desired
Strong communication (written and verbal) skills including presentations, meeting/workshop facilitation and business writing
Excellent project and time management skills with the ability to work with colleagues across the organization
Highly motivated with a strong work ethic and ability to thrive in a fast paced, deadline driven environment
Experienced with all Microsoft Office products is critical, especially PowerPoint, Excel, Word and Outlook


Senior Data Scientist

ENDAVA AT A GLANCE
Endava is a global public technology company with over 22 years of experience working with some of the biggest global names in payments, banking, financial services, insurance, media, technology, and more. Through Digital Evolution, Agile Transformation, and Automation solutions, Endava helps its clients be more engaging, responsive, and efficient by supporting them from ideation to production.

Endava has over 10,000 employees located in offices in North America and Western Europe and delivery centers in Romania, Moldova, Bulgaria, Serbia, Macedonia, Argentina, Uruguay, Venezuela, and Colombia. Along with investing in long-term customer relationships, Endava recognized the importance of providing rewarding and challenging careers for people and, by doing so, has established itself as the employer of choice in certain regions.

At Endava we value career growth and expansion. You will have various opportunities to grow into the career you desire. We offer mentorship programs and multiple career tracks to help you achieve your personal and professional goals.

Our Endava family is growing! The data capability is looking for a Senior or Lead Data Scientist to join our team. As a Senior or Lead Data Scientist at Endava, you must be flexible and willing to collaborate with clients and Endava team members to address complex business and technical challenges. Excellent communication skills are key, your ability to ask penetrating questions to uncover the root causes of challenges being presented is key to the overall success of the team.

Our Data Scientist professionals are strong consultants, who are just as comfortable talking through solutions with clients as they are at developing them. At Endava,  we value collaboration and working cross-functionally to make the greatest impact on our clients and fellow team members.

In this role, you will work closely with technical leads, data architects, fellow developers, project/relationship managers, and client stakeholders. You will both participate and contribute during agile/scrum ceremonies.

Within three months, you will have ingrained yourself with your project and its goals, while developing strong relationships within and outside of your team.

Within one year, you will have worked across various client and internal Endava teams to build solutions. As a Senior or Lead Data Scientist at Endava, you will have engaged internally to foster and develop your skill sets and invested time in honing new ones. At Endava, being a part of the data capability means continuing to help us live our core values and culture, as well as drive growth through quality and consistent work and interactions.

Requirements:

5+ years of experience leading a team, preferably a data engineering / science team
Strong coaching and mentoring abilities
Experience performing as lead reviewer of merge requests/code reviews
Strong working knowledge of machine learning algorithms and metaheuristics including bin packing, linear programming, classifiers, clustering algorithms, anomaly detection, and time-series forecasting
Strong Python skills
Experience working with SQL
Excellent social, written, and verbal communication skills
Confidence working independently and making key decisions on projects
Industry experience in warehousing, supply chain, or logistics preferred
Strong ability to review existing codebases and refactor for improvement vs starting over
Experience with NumPy, SciPy, Pandas, Sci-Kit Learn (sklearn), TensorFlow, Flask, Marshmallow, Docker, and Linux
Strong knowledge in model development lifecycle, including monitoring, error analysis, retraining, and redeployment

Endava Benefits:
We have a great Benefits Package!
-Opportunity to work in an exciting and growing high-tech Global Organization
-Career Development opportunities
-Work/Life balance is the heart of culture
-Like to Travel? Great! We have over 51 offices in 49 cities, within 24 different countries
-Endava provides competitive full salary packages
-Personal and Professional growth with continued training opportunities
-Robust healthcare and benefits including Medical, Dental, vision, Disability coverage, and various other benefit options
-Flexible Spending Accounts (Medical, Transit, and Dependent Care)
-Employer Paid Life Insurance and AD&D Coverages
-Health Savings account paired with our low-cost High Deductible Medical Plan
-401(k) Retirement plan with employer match and no vesting schedule
-Need incentives to stay healthy? We offer Wellness Benefits & Gym reimbursements
-Employee Assistance Programs
-Wellness Benefit

Pay Transparency:
-Pay ranges are available upon request

We are an equal opportunity employer and are committed to a diverse workforce. We are committed to a policy of equal employment and will not discriminate against an applicant based on their age, sex, sexual orientation, gender identity, race, color, creed, religion, national origin or ancestry, citizenship, marital status, familial status, people with physical or mental disabilities, pregnancy or any other category protected under the laws we operate under.


Lead Data Scientist

About BlueLabs
BlueLabs is a leading provider of analytics services and technology for a variety of industry clients: including government, business, and political campaigns. We help our clients optimize their engagements with individual customers, supporters, and stakeholders to achieve their goals. Simply put: we help our partners do the most good by getting the most from their data.

Today, our team of data analysts, scientists, engineers, and strategists come together from diverse backgrounds to share a passion for using data to solve the world’s greatest social and analytical challenges. We’ve served more than 400 organizations ranging from government agencies, advocacy groups, unions, political campaigns, international groups, and companies. Along the way, we’ve developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach-- serving a diverse set of industries, including the automotive, travel, consumer packaged goods, entertainment, healthcare, media, telecom, and more.
About the Team:
The BlueLabs Data Science Team develops deep expertise and uses data to inform strategic advice to our clients. Our polling work designs, implements, and fields tools that power our analysis and messaging. We take a deep dive into research that looks at what motivates people to vote, buy a product, hold an opinion, and whether campaigns are successful. Our statistical research identifies areas where we can better assess the impact of various factors in the campaign and polling areas. Our fast-paced, impact-driven team conducts innovative analysis to support our clients’ work. We bring definition to challenging problems, creatively identify data sources, then design analytics that accurately measure impact and move the needle every day. We work in changing, ambiguous environments, so we embrace nuance, inclusivity, and complexity to deliver programs that work for the diverse groups of individuals who rely on us.

About the Role:
Data Scientists use a combination of statistics, programming, and domain knowledge to solve problems, ranging from customized solutions for specific clients to creating the methodological backbone for our general purpose products. They have strong technical skills and are also creative thinkers who are always looking to innovate and deliver value to our clients. They aren’t afraid of messy data, and are comfortable working in a fast paced, production-oriented environment. Our team members receive strong mentorship and are given a chance to complete projects independently.  The Lead Data Scientist is both a subject matter expert and a team leader. This position reports to the VP, Data Science and manages a team of Data Analysts and Data Scientists.

What You’ll Do:
Lead the design, implementation, and delivery of analytics products and services
Own the predictive modeling process from ingestion to deployment
Design and evaluate longitudinal experiments and make recommendations based on the findings
Ensure the data and modeling results meet requirements for quality and work with the team to clean, transform, aggregate, and report on data as needed
Collaborate with engineers, data scientists, program managers and external stakeholders to troubleshoot problems and proactively create solutions
Lead research development projects and data science project plans for clients and internal initiatives
Ensure team excellence by documenting processes and evangelizing new approaches
Work both independently and as part of a team to deliver accurate products on short deadlines
Manage a team of data scientists and analysts using your background and experience and help others grow

Who You Are:
You have a proven track record using data-driven solutions to improve social outcomes - and bring a multidisciplinary approach to doing so.
You have experience that mastered a variety of skills: whether thinking strategically about how to develop an enduring process, digging deep into a complex data analysis, or putting yourself in the shoes of an end-user to answer a question they didn’t know they had - you’re comfortable thinking from a number of different perspectives
You are able to anticipate questions from your stakeholders while remaining objective in how you approach their unique challenges. You are experienced deriving value from imperfect data, but also know when to push the emergency stop button.

What We Are Seeking:
3+ years working in a quantitative production environment or a postgraduate degree in a quantitative field
Experience with and ability to apply knowledge of foundations of statistics and modeling (distributions, parameter estimation, confidence intervals and tests, etc.) both in your own work, and in the ability to guide others
Experience with experimental design and causal inference
Advanced understanding of a statistical programming language, preferably R or Python
Expertise building predictive models using regression and machine learning techniques
Ability to manipulate data with SQL
Proven experience creating analytics output within a production-oriented team
Ability to effectively communicate and present technical concepts to a non-technical audience, both in writing and verbally
Experience creating and delivering informative and engaging data visualizations using industry leading tools
Leadership competencies in the following: empathy, active listening, coaching/feedback, integrity, decisiveness, and problem solving
In order to be qualified for this position you must currently have or be able to obtain and maintain a Federal Public Trust security clearance, which requires either US Citizenship or three (3) of five (5) years of US residency

What We Offer:
BlueLabs offers a friendly work environment and competitive benefits package including:
Premier health insurance plan
401K matching
Unlimited vacation leave
Paid sick, personal, and volunteer leave
13 paid holidays
15 weeks paid parental leave
Professional development stipend & tuition reimbursement
Macbook Pro laptop & tech accessories
Bring Your Own Device (BYOD) stipend for mobile device
Employee Assistance Program (EAP)
Supportive & collaborative culture
Flexible working hours
Remote friendly (within the U.S.)
Pre-tax transportation options for commuting to our office in Washington, DC
Lunches and snacks
And more!

The salary for this position is $105,000+ annually.

While we have an office in Washington, DC, we are open to considering candidates from within the U.S.

At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. As an equal opportunity workplace and an affirmative action employer, BlueLabs is committed to creating an inclusive environment for all employees. BlueLabs endeavors to make reasonable accommodations to the known physical or mental limitations of qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations.  BlueLabs participates in E-verify. EEO is the Law (Link to external DOL site)


Anti Fraud Data Science Manager

Your key areas of focus :
If you’ve ever seen The Tinder Swindler , FYRE, or The Wizard of Lies you know fraud is an infinitely repeating social struggle that leaves the most vulnerable to pay the price. The Risk team at Sendwave builds and supports everything needed to aggregate the individual fraud cases and stop the scheme from ever being lucrative for the fraudster. This includes integration of vendor tools, training new fraud/anomaly detection algorithms, supporting our risk operations teams, and improving our monitoring capabilities. You’ll leverage your Data-to-Insights skills to develop accurate, targeted defenses that remove fraud from our platform.
In your first few months you’ll:

Set KPIs and scope constraints for new modeling projects to decrease our information lag between fraud happening and us receiving feedback of its presence.
Develop heuristics to quickly fight fraud.
Identify missing tooling and suggested verification actions to help our risk representatives make sense of the system’s decision to block and correctly assess the situation.
Evaluate and spec out integrations for new data sources for our fraud detection algorithms.
Diligently work to lower false-positive rates
Develop strategies to detect previously unseen patterns that may indicate a new fraud attack.
Develop strategies and tools to help less technical individuals develop fraud-fighting heuristics.
Automate the training and deployment of updated models.
Develop a new anomaly detection algorithm, helping us spot strange behavior before a chargeback occurs.
Help build experiments to evaluate new models, third-party data sources, and tooling.

We're building out a best-in-class Risk infrastructure that can enable us to grow and we're hoping to find an engineering manager that's excited to solve data-driven problems in an adversarial environment.
What you bring to the table:

4+ years of professional experience training and deploying models.
At least 3 years creating production models or building analysis in the industry
At least 1 year managing an engineering team of 3-5 people
Work authorization in the country in which you intend to be based.
Possess strong python software development skills.
Experience in two or more of the following areas:

Machine Learning (Scikit Learn, Tensorflow, Keras, XGBoost, H2O, etc...)
SQL Analytics (BigQuery, Redshift, PostgresSQL, Athena, etc)
Visualization Tools (matplotlib, seaborn, streamlit, Looker, Tableau, Periscope, etc)

Bonus points if you:

You like building data driven systems and know SQL.
Have strong engineering fundamentals — you've built applications in python as well as trained model and are comfortable with supporting all layers of the stack.
Demonstrate tenacity and a willingness to go the distance to get something done. You don't mind doing things manually but automate at every opportunity.
Are inquisitive, intellectually curious and can make sense of complex systems or information.
Can work in a structured approach towards goals and pay attention to detail.
Can easily communicate with non-technical folks and translate their feedback into code.
Are comfortable defaulting to over-communication and overreaching when it comes to coordination.
Adjust quickly to changing priorities and conditions and cope effectively with complexity and change.
Have developed models that deal with extreme class imbalance
Have worked in a team of mixed talent before (Data Scientists, ML Engineers, Backend Engineers)
Have fraud or financial experience.

Key details:

Team Composition: The Risk Team is a combination of ML engineers, Operation Specialists, and Data Scientists. Functionally the team is comprised of three pillars (Operations, Data Science, and Engineering) that collaborate in all sprint and quarterly planning meetings to create a balanced roadmap. You will be responsible for the Data Science pillar and directly manage both Data Scientists and Engineers.

Team Philosophy: The team functions on a 2-week sprint cycle with a Results Only Work Environment meaning you won’t be micromanaged but instead given the creative space needed to thrive in a highly collaborative setting
Location:

Our company is 100% remote, and has been since we were founded. Sendwave hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Recruiting team can help answer any questions about location as we move further into recruiting process. For this role we are targeting candidates in between GMT -6 and GMT +2, hiring within these locations: Belgium, Canada, Costa Rica, France, Germany, Kenya, Poland, Senegal, UK and US.

Major benefits:

A competitive salary and company equity pegged to it
Subsidized health insurance and retirement contribution matching (both vary from country to country)
26 weeks fully paid parental leave and subsidized fertility assistance
Unlimited vacation with a 20-day minimum requirement
$10,000 annual charitable donation matching


Principal Data Scientist Search And Personalization

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

As a Senior Data Scientist on the Forward Deployed Engineering Team, you will be apart of a jack-of-all-trades organization that serves as a key interface between individual clients and the broader Primer organization. Our charter is: (1) work closely with clients to discover the best use of Primer’s NLP/NLG algorithms for their needs; (2) prototype new algorithms, data pipelines, and visualizations; and (3) channel client feedback and algorithmic learnings back to Primer to drive future product development.
What you'll do:

Support the ideation and implementation of solutions and feature sets for the customers, partner with Primer’s product and engineering organizations to create and deliver.
Act as a full-stack everything: data scientist, engineer, and customer liaison for Primer.
Partner with product and engineers at Primer to identify and prioritize new features and algorithms based on customer engagement and feedback.
Build ways to analyze and understand customer engagement and product performance through modeling and data visualization.

Who you are:

3+ years of professional experience in the areas of developing and deploying machine learning and NLP-based solutions.
Hands-on experience with machine learning and NLP tools and libraries including Numpy, Scipy, Scikit-learn, SpaCy, NLTK, Torch, Tensorflow, Keras
Proven experience working with a variety of data sets, framing customer problems and use cases, and building data science models.
Understanding of NLP topics: event and topic detection, relation, and extraction; pattern detection; entity recognition; and clustering and classification models.
Ability to think about solutions from a customer perspective, establish conceptual connections between requirements and solutions.
Experience working with AWS, Docker, and APIs.
Excellent communication skills – you will be the face of Primer to customers’ organizations.


Principal Data Scientist

Data Science is at the core of Nielsen’s business. Our team of researchers come from diverse disciplines and they drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world. We support all International Media clients and are located where our clients are.

Principal Data Scientist

Data Science is at the core of Nielsen’s business. Our team of researchers come from diverse disciplines and they drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world. We support all International Media clients and are located where our clients are.

By connecting clients to audiences, we fuel the media industry with the most accurate understanding of what people listen to and watch, and how this engagement affects their choices from media and brand engagement to purchase. As the world’s largest research organization, Nielsen is powered by talented, creative scientists and researchers. Our Audience Outcomes Data Science associates come from diverse disciplines that include business, statistics, economics, engineering, mathematics, operations research and physics. These professionals drive innovation by continually improving complex analyses that deliver valuable insights to our clients. Because measurement is at the core of our business, our products have high visibility and make a direct impact on our clients.

Our team has an opportunity available for a Principal Data Scientist.  The ideal candidate must have work experience in the development of econometric models, expertise in modern analytics programming, the capacity to work in an agile development environment alongside software engineers and a solid foundation in developing solutions for marketing, pricing and/or advertising organizations

Responsibilities

Research, design, develop, implement and test econometric, statistical, causal inference and machine learning models.
Create various prototypes for research and development purposes.
Design, write and test modules for Nielsen analytics platforms using Python, R, SQL or Spark.
Utilize advanced computational/statistics libraries including Spark MLlib, Scikit-learn, SciPy, StatsModels or R.
Documents and presents econometric, statistical and causal inference methods to within company associates.
Partners with Product organization on resolving data issues.
Work with Product on setting the direction for new analytics research and product development for engaged track(s)

Requirements

Graduate degree in Statistics, Economics, Applied Mathematics, Computer Science, Engineering or other Quantitative field of study.
5+ years of work experience in delivering analytics software solutions in a production environment.
5+ years of work experience in quantitative marketing analysis, with an emphasis on statistical, econometric and predictive analytic research that drives analytic product innovation and implementation.
Expertise in coding and testing of analytical modules using Python, SQL and Spark.
Expertise in at least one statistical software package, such as R or StatsModels.
Experience with Git or other version control tools.
Well-organized and capable of handling multiple mission-critical projects simultaneously while meeting deadlines.
Exceptional problem solving skills.
Excellent oral and written communication skills.
Critical thinking skills to evaluate results in order to make decisions.
Abilities to solve problems independently and within a team.
Work with cross-functional team to resolve any hurdles in the projects.

#LI-GR1


Lead Data Scientist

Data Science is at the core of Nielsen’s business. Our team of researchers come from diverse disciplines and they drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world. We support all International Media clients and are located where our clients are.

Title: Lead Data Scientist
Division:  Data Science
Location: United States: Remote

What is the role?
Streaming is exploding right now! As a Lead Data Scientist on the Connected TV Measurement team, you will have a front row seat for all of the action.

What will I do?
In this role, you will be working to develop methodologies to enhance Nielsen’s Connected TV measurement.  Your primary responsibilities include:
Drive the development, testing, and implementation of new measurement methodologies, including client-focused impact assessments . Build and deploy production-ready automated methodologies into functional modules, including unit tests and quality control checks while incorporating CI/CD workflows. Identify root causes and solve any bugs or quality escapes. Ensure detailed documentation of new methodologies, research findings, and best practices. Ensure product quality, stability, and scalability by facilitating code reviews. Explaining complex model-related concepts in simple terms to non-technical internal and external audiences . Mentor and provide oversight to junior associates while serving as an example by sharing relevant best practices.

About the team
The Connected TV Measurement team within the Data Science organization focuses on expanding and enhancing Nielsen’s Connected TV ad measurement product.  Our team develops new methodologies to measure audiences across all types of connected devices and integrates new data assets into Nielsen’s existing methodologies to expand the data delivered to clients.

Despite being spread across multiple Nielsen offices, our team values collaboration, teamwork, and having fun at work!  We hold each other accountable for creating stable, scalable, and well-documented solutions.

Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and take action. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You’ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work!

Requirement's

5+ years of professional work experience in Statistics, Data Science, Computer Science, and/or related disciplines
Experience with developing and automating methodologies
Mastery of Python
Experience with sophisticated data mining & modeling solutions and the tools that support them such as Scikit-learn, PyTorch, and PyMC3
Experience with relational and distributed database systems with expertise in tools such as Spark, Presto, and other SQL-based querying engines
Experience with ETL frameworks like Airflow
Familiarity with DevOps tools and CI/CD workflows including Git
Bachelor's degree in Statistics, Data Science, Computer Science or other related field
Organization and clear communication

Nice to Have

Advanced degree in Statistics, Data Science, Computer Science or other related field
Experience working in cloud-based environments such as Azure, AWS, or GCP
Domain expertise in Digital or Television measurement

#LI-GR1


Data Scientist

Data Science is at the core of Nielsen’s business. Our team of researchers come from diverse disciplines and they drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world. We support all International Media clients and are located where our clients are.

Title: Data Scientist - (Remote)

Division:  Data Science

Where will I be?
We are a growing workforce integrated throughout the US and Internationally, though this particular role will be based in the United States. Working hours? We encourage working similar hours as the rest of your team to ensure overlap needed for collaboration, though are flexible based on individual needs. Can I work remotely? Of course! While many associates are located near Nielsen offices in New York, Chicago and Tampa, we leverage collaboration tools like Google Meet and Slack that enable us to work remotely.

What is the role?
We are looking to add a Data Scientist to our team of innovative Panel and Meter researchers. Our areas of expertise include researching hardware, software, quality controls and business rule changes that will improve the accuracy of our data reporting. You will learn and become an expert in Nielsen’s TV panel data, with a focus on Meter hardware and software used for data collection and crediting. You will design small and medium sized research projects based on project goals. You will then execute the research and code development based on the defined plans and use the results to recommend enhancements for production methodologies. You will also have opportunities to present research to key stakeholders and collect/implement feedback as necessary, and partner with cross-functional stakeholders to deploy their recommended methodologies into production systems. Excited? Come join us!

What will I do?

Learn and become an expert in TV Audience Measurement, with a focus on Meter hardware and software used for data collection and crediting.
Design, execute and summarize small size research projects. Support medium and large scale projects.
Identify, clean, and summarize data, potentially from disparate and complex data sources, to facilitate high quality analyses.
Develop efficient code and share for analysis.
Incorporate quality checks to proactively detect and correct for errors throughout analysis.
Provide recommendations based on research findings.
Document research plans, results, and conclusions. Share them with senior team members as needed.
Support senior team members in collaboration with department stakeholders (Engineering, Data Science, Technology, etc.). This includes providing status updates, developing timelines, sharing data, executing tests, presenting results, etc.

Is this for me?

You have a strong background in Mathematics, Statistics, Computer Science, Engineering or a related field.
You welcome new challenges and are comfortable diving into the unknown with the goal of making sense of what’s noise and what isn’t.
You bring innovative ideas to the table and are comfortable challenging existing methods and processes.
You have 3+ years of experience with the following: Manipulating, analyzing and interpreting complex data sources to tell a story from data through analyses. Programming in Python and SQL. Knowledge of BI tools such as Tableau and Spotfire.
You have working knowledge of cloud-based infrastructures and tools such as AWS and Gitlab and are willing to continuously learn more in this space

#LI-GR1


People Scientist

About us:
Limeade is an employee experience software company on a mission to transform work into a source of positivity, energy, humanity, and purpose. Founded in 2006, Limeade is a pioneer in the HR technology industry and is consistently recognized for its own award-winning culture. Today, Limeade solutions are used in approximately 100 countries around the globe. We help every employee know their company cares – and deliver people and business results that matter. Limeade partners with its customers to transform the overall employee experience by helping to improve employee well-being, engagement, and sense of inclusion – in addition to reducing the risk of unwanted turnover and burnout. To learn more, visit www.limeade.com (AXS listing: LME)
About the role:
TINYpulse by Limeade is looking for a People Scientist to join the Limeade Institute and help drive thought leadership in the Employee Engagement space. A successful People Scientist will use a customer-centric approach to build our assessment/advanced listening capability (e.g., author survey questions, curate our assessment library, integrate research) and lead survey-related communication efforts. The People Scientist will partner with our data teams and marketing professionals to explore our wealth of data and create compelling research pieces. We want someone who shares our passion for simplifying analytics. Simplicity and education empower clients to draw insights from data on their own. The People Scientist will form great relationships with Customer Success and Sales as we build our Premium Consultation Services.
Expectations for Success:
Content Strategy (30%):
Collaborate with customers to design and build people-centric advanced listening and people/talent management strategies.
Curate the suite of Questions and Assessments for our Content Library.
Contribute to survey-question and product feature design sessions.
Own the process for content creation and management.
Client Results Analysis (30%):
Explore client data to identify the most valuable themes and stories to help our clients improve their culture and business outcomes
Participate in results review sessions with clients; the audience typically includes HR Professionals and C-Level Executives
Partner with the People Team and our culture committees to continuously improve our culture
Limeade Institute (30%):
Integrate findings from research and analytics initiatives into internal product plans as well as client and marketing communications
Present research and client results through leadership to create internal and external thought leadership on HR issues in a variety of industries and regions
Support and build domain expertise for our Customer Success, Sales & Marketing teams through coaching and training
Continuous Learning (10%)
The People Scientist is expected to stay current with the latest industry developments. These may be in the fields of people analytics, organizational psychology, behavioral science or digital transformation, and/or the latest innovative customer programs. Continuous Professional Development will include attendance at industry conferences, regular review of journal articles, learning new skills or methodologies.
Requirements:
Ability to demonstrate our values in an on-going and consistent way.
Master's or PhD in Industrial-Organizational Psychology, Organizational Development, or HR/Business Analytics.
3+ years of applied research experience (primary, secondary) and writing reports, publications.
3+ years of applied experience working as an HRBP within an organization or consulting to organizations.
3+ years in data and analysis using large scale data sets; experience with R preferred, experience with SQL, Python, other analytical programming languages a plus.
At least 1 year of applied experience working with surveys throughout the employee lifecycle (candidate, onboarding, engagement, inclusion, exit) and/or 360-type feedback processes.
Experience designing, implementing and analyzing surveys, as well as presenting results to executives and HR leaders.
Performance management system implementation experience not necessary but preferred.
Strong presentation skills especially when explaining data and connecting it to potential actions.
Basic knowledge of statistics and experience using statistical packages such as R or SPSS; moderate knowledge of statistics and basic knowledge of predictive analytics techniques preferred.
A desire to learn and work with new technology.
Limeade provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Limeade will provide reasonable accommodations for qualified individuals with disabilities.
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