Data Scientist Customer Identity Access Management

Company Description
Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together.
So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, offer buy now, pay later functionality through Afterpay, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next-generation shopper, increase order sizes, and compete at a larger scale.
Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square.
Job Description
Our Customer Identity and Access Management (CIAM) team sits within the Commerce Platform organization and is responsible for creating remarkable products and experiences for our sellers, developers, buyers, and more. We’re responsible for creating a shared platform for user accounts, access management, and policy enforcement. Growing Upmarket is a critical priority for Square, and this is a pivotal role to enable us to succeed. The team is responsible for foundational data models, APIs, intuitive UX for various actors to set up and manage their accounts within Square, and tooling to enable internal stakeholders to support our sellers better. This includes ownership of standards-based authentication flows and session management across the Square ecosystem for all platforms (iOS, Android, and web).
As a Data Scientist on Square Commerce Platform's centralized data science team, you will leverage analytics, engineering, and machine learning to empower data-driven decision making, with the aim of ensuring a reliable, scalable, and secure platform for Square and our sellers. You will partner closely with product managers, engineers, and other data scientists to identify gaps and opportunities in our current processes, design business, and product metrics, lead experimentation initiatives to improve those metrics, and develop automated solutions to help partner teams understand the health of our core business.
You will:
Partner primarily with CIAM product, engineering, and design teams to make data-driven decisions using a diverse set of tactics, including statistics, quantitative reasoning, and experimental design. You will also work closely with Risk, Payments, and other cross-functional teams. Proactively identify gaps and opportunities in our processes. Design and analyze experiments with the goal of increasing Square’s bottom line and ensuring Sellers' accounts are safe.Build ETL pipelines, dashboards, and machine learning models that enable monitoring of the health and performance of our core business.Be the subject matter expert on CIAM data. Translate requests from internal and external partner teams into questions that can be rigorously answered with data.Communicate analysis and decisions to high-level stakeholders and executives in verbal, visual, and written media.Evangelize data best practices and be an advocate for a data-driven culture across Square.
Qualifications
You have:
2+ years of industry experience in data science, product analytics, or machine learning-focused roles.Proficiency in SQL and Python, as well as working knowledge in the application of statistical and modeling techniques; willingness to learn new technologies on the job.Proven track record of adding business value using data.A strong Data Engineering background. Ability to ingest and analyze large data sources independently.Proficiency in at least one visualization tool (we primarily use Looker).Strong written and verbal communication skills and the ability to build strong relationships and influence product partners.Prior experience in account security and management is beneficial, but not required.Comfort working in a dynamic work environment.
Technologies we use and teach:
SQLPython (numpy, pandas, sklearn)Machine Learning (e.g. regression, ensemble methods, neural networks, etc.)Google Cloud Platform: BigQuery, Dataflow, and ComposerAirflowLookerDatabricks
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $125,600 - USD $153,600
Zone B: USD $119,300 - USD $145,900
Zone C: USD $113,000 - USD $138,200
Zone D: USD $106,800 - USD $130,600
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Full-time employee benefits include the following:
Healthcare coverage (Medical, Vision and Dental insurance)Health Savings Account and Flexible Spending AccountRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time off (including 12 paid holidays)Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees) Learning and Development resourcesPaid Life insurance, AD&D, and disability benefits Additional Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
These benefits are further detailed in Block's policies. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
US and Canada EEOC Statement
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Senior Data Scientist Ecommerce

Company Description
Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square.
Job Description
Square’s mission is economic empowerment, and our team supports this by using data to understand and empathize with our customers, thereby allowing us to build a remarkable experience. The goal of the eCommerce team is to make it incredibly easy for anyone to sell online. This role will be focused on working with the product team to build and improve the Square eCommerce experience. The ideal candidate understands and loves seeing the impact of their work translate into product changes and improvements. The role will involve working on the product from end-to-end, thinking about everything from how a merchant sets up their online presence to how a shopper browses online. You’ll be formulating analyses using a rich dataset to track feature usage and performance, identify potential gaps and opportunities, and make recommendations to stakeholders. This role will challenge you to think strategically and contribute to high-level discussions with senior leadership and peers across Square.
You will:
Partner with product managers, engineers, and senior strategy leaders to improve the product. Make sure the right questions are being asked, solicit feedback, and iterate until you reach meaningful conclusions backed by solid analysisApply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insightsUse SQL on a daily basis to develop data pipelines, write complex queries, and perform analysisCoordinate and solve complex projects that extend beyond the traditional boundaries of product domains, analytics, and data scienceCommunicate analysis and decisions to high-level partners and executives in verbal, visual, and written mediaDevelop resources to empower data access and self-service so your expertise can be leveraged where it is most impactfulDevelop, debug, and improve data models. Our product moves fast and new data doesn’t always play nice with existing models. Think about how to ingest and store data in the most useful and scalable format.
Qualifications
You have:
6+ years of analytics and data science experience or equivalentExperience building relationships to influence product partners with dataExperience leading cross-functional projects that depend on the contributions of others in multiple disciplinesExperience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, defining frameworks for measuring success, and clustering user archetypesFamiliarity with data warehouse design and best practicesFluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python)
Nice to have:
M.S or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)Experience working on product & platform initiatives focused on measuring platform success
Additional Information
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Benefits include the following:
Healthcare coverageRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time offLearning and Development resourcesPaid Life insurance, AD&D. and disability benefits Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
US and Canada EEOC Statement
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Senior Data Scientist Commerce Platform Inventory

Company Description
Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square.
Job Description
Square’s mission is economic empowerment, and our team supports this by using data to understand and empathize with our customers, thereby allowing us to build a remarkable experience. The goal of the Inventory team is to empower sellers to reliably balance supply & demand by accurately tracking and merchandising inventory across all channels and locations. As a member of the Inventory team, you will use engineering, analytics, and machine learning to empower data-driven decision-making in the full lifecycle of product development and ensure a cohesive platform experience. While reporting to the Commerce Platform Analytics lead, you will help lead the effort to help define metrics to track progress against organizational goals, develop solutions to personalize product experiences, provide insights to our sellers about their business, and drive strategic decisions with data.
You will:
Partner directly with the Inventory product team to make data-driven decisions across the organization by applying descriptive and predictive analytics where it will have a material impactApply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insightsCoordinate and solve complex projects that extend beyond the traditional boundaries of product domains, analytics, and data scienceCommunicate analysis and decisions to partners and team leaders in verbal, visual, and written mediaPartner with the broader team to define the data strategy of embedded product engineering, to help make well-informed architecture and design decisions that affect data at SquareDevelop resources to empower data access and self-service so your expertise can be leveraged where it is most impactful
Qualifications
You have:
4+ years of analytics and data science experience or equivalentExperience building relationships to influence product partners with dataExperience leading cross-functional projects that depend on the contributions of others in multiple disciplinesExperience applying both statistical and machine-learning techniques to solve practical product problems such as predicting churn, defining frameworks for measuring success, and clustering user archetypesFamiliarity with data warehouse design and best practicesFluency with data, analytics, and visualization technologies (we use SQL, Looker, and Python)
Nice to have:
M.S or Ph.D. in a quantitative field (mathematics, statistics, or similar STEM field)Experience working on product & platform initiatives focused on measuring platform success
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $152,100 - USD $185,900
Zone B: USD $144,500 - USD $176,700
Zone C: USD $136,900 - USD $167,300
Zone D: USD $129,300 - USD $158,100
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Full-time employee benefits include the following:
Healthcare coverage (Medical, Vision and Dental insurance)Health Savings Account and Flexible Spending AccountRetirement Plans including company match Employee Stock Purchase ProgramWellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance Paid parental and caregiving leavePaid time off (including 12 paid holidays)Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees) Learning and Development resourcesPaid Life insurance, AD&D, and disability benefits Additional Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources
These benefits are further detailed in Block's policies. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
US and Canada EEOC Statement
We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.
Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.


Data Scientist

At Alkymi, we’re creating products to give everyday business users the power to control the unstructured document data that fuels their business. We believe in giving the same professionals who manually handle document and email data today powerful tools to supercharge their workflows, while allowing them to seamlessly apply their human intelligence where it’s needed most. By doing this, we’re letting our users create a Data Action Layer to power products, deliver outcomes, and generate insights.

Founded in 2017 in New York City, Alkymi works with some of the world’s leading businesses and financial services firms to automate their highest-impact workflows by delivering an unparalleled product experience. We’re laser focused on understanding our customers’ workflows from top to bottom, and building easy-to-use, powerful, tools to meet their objectives. We combine cutting edge data science and machine learning with best-in-class software engineering to delight our users at some of the world’s most demanding and sophisticated businesses.

As we continue to scale, we're seeking a Data Scientist to join our core team.

Required Skills:

Strong knowledge of Python and general software development skills (source code management, debugging, testing, deployment, etc.).
Strong understanding of text pre-processing and normalization techniques, such as tokenization, and POS tagging.
Ability to design NLP pipelines to meet customer requirements
Familiarity with different approaches for training entity tagging models (e.g. CRF, RNN, CNN, Transformer).
Experience with asynchronous programming is a plus.
Familiarity with deep learning frameworks such as Tensorflow and Pytorch a plus.
Familiarity with computer vision deep learning algorithms a plus (CNN, RCNN)
BS, MS and or PhD in Computer Science, Physics, Mathematics, etc

Alkymi is creating the data action layer by turning unstructured data into actions. Its product-first approach makes it easy for non-technical users to automate operational workflows for the first time. Leading organizations deploy Alkymi to accelerate decision-making, improve customer satisfaction and empower employees to focus on high-value, rewarding work.

Alkymi was founded in 2017 in New York City by a founding team from Bloomberg, Two Sigma, and x.ai with backing from Intel Capital, Canaan, Work-Bench, SimCorp, and industry insiders.

Salary Range: $100,000 - $145,000 annually + Equity + Fully Paid Company benefits + 401k + Unlimited PTO

The above compensation referenced represents the expected salary for this career opportunity and is based on Alkymi's good faith belief at the time of posting. Ultimately, in determining your compensation, we'll consider multiple factors including your geographic location, professional experience, market conditions and education/training/skill level.


Sr Data Scientist

Full-time, US-based remote

Our mission is to protect enterprises and government agencies from disinformation attacks by uncovering threatening online trends and neutralizing them.

PeakMetrics is a cybersecurity solution that extracts insights and creates actionable data from millions of unstructured, cross-channel media datasets in real-time. We use ML to spot adversarial online messaging, understand the audiences behind them, present context such as source credibility, and help customers respond.

PeakMetrics has been battle-tested on some of today’s most complex media issues – from responding to crisis management situations to combating state-sponsored disinformation.

As a Data Scientist you will work directly with our product, engineering, and leadership teams to develop data-heavy products. You must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. You must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative mind. While mining, interpreting, and cleaning our data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data’s full potential. As part of a team of specialists, the data scientist will “slice and dice” data using various methods and create new visions for the future.

You will report directly to the Vice President of Engineering.

What you will do at PeakMetrics:

Research and develop algorithms for detection of social media narratives within large volumes of online content.
Conduct and establish data quality assessments.
Conduct data-driven research into misinformation and provide product data science support.
Analyze data to drive optimization and improvement of product development.
Use predictive modeling to increase and optimize customer experiences.
Develop company A/B testing framework and test model quality.
Collaborate cross functionally to better understand the end-user and the features needed to solve their problems/pain points in the product.
Grow and develop the data science capabilities, processes, and team within PeakMetrics.

We would love to hear from you if you have:

Strong problem solving skills with an emphasis on product development.
Experience using statistical computer languages  (Python, SQL, etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Experience in NLP, ML and Data Visualization.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies and techniques.

It would be nice if you have:

5-7 years of experience manipulating data sets and building statistical models.
Advanced experience in pattern recognition and predictive modeling.
Experience with marketing.

$116,000 - $155,000 a year

Benefits

We are looking to build a truly diverse, equitable, and inclusive engineering team. We have a number of outstanding benefits to support that.

We are a fully distributed team. Without a central office, everyone’s on an equal footing wherever you’re based in the United States.

We offer flexible schedules and unlimited time off. Take vacations to recharge! We’re about long-term growth and success, so that means working sustainably.

We provide outstanding health care and vision coverage for you and your family.

We offer a 401(k) and HSA programs.

We are an equal opportunity employer and are committed to building an organization that empowers and promotes diversity, inclusion, equity and belonging (DEIB). We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.


Senior Data Scientist

Senior Data Scientist - United States (Remote )

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

For 27 years, Getty Images has embraced disruption and change; riding the digital wave to evolve from a fragmented, analog stock photo business into a 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. Getty Images moves the world, whether the goal is commercial or philanthropic, revenue-generating or society-changing, market-disrupting or headline-driving.

Help us move the world with images!

Getty Images is the most trusted and esteemed source of visual content in the world, with over 534 million visual assets (Video + Still) available through its industry-leading sites www.gettyimages.com and www.istock.com and 8-10 million new assets added each quarter.  The Getty Images website serves more than 842,000 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 496,000 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. Getty Images is a world leader in visual content.

We are inclusive of different voices, perspectives, and experience. We believe diversity is critical to our mission to objectively reflect the world we live in and allow our customers to illustrate that world. This means including a diverse range of voices in our content, actively pursuing diversity in our team and sources of content and listening to our customers to make sure we are as open and responsive as possible.

Women, gender-nonbinary, people of color, LGBTQIA+ people and people with disabilities are encouraged to apply.

Who You Are:

The mission of the Customer Data Science team at Getty Images Inc. is to gain a deep understanding of our customers - who they are, how they use our products and content, and the reasons behind their usage.
Seeking an expert Data Scientist to provide data strategy and address sophisticated business and technical problems.
Provide guidance and mentorship to fellow data scientists and analysts.
Involved in establishing and leading all aspects of new initiatives from design to implementation and release.
Skilled in mentoring and coaching team and optimally communicating analytical and technical methods to Business teams and Leadership.

Your next challenge:

Solve problems and find opportunities across Marketing, Customer Success, Customer Service, Sales, and Product.
Collaborate with business partners and engineering managers to implement suitable solutions that serve the business roadmap.
Coach and mentor team members and assist in guiding the development and implementation of engineering standard methodologies.
Delve into extensive data analysis to solve business inquiries, such as resolving prioritization of new customer segments to drive revenue growth and conduct deep strategic analysis to address business inquiries and bring data-driven approaches.
Define success metrics for various teams such as Sales, Service and Ecommerce teams and construct dashboards for tracking (e.g., supervising conversion data for different customer segments, measuring renewal rates of subscription products).
Evaluate potential opportunities such as expansion into new markets to optimize customer service solutions and articulate practical analysis that aid teams in identifying areas for improvement and investment.
Construct ML models, encompassing the design of success metrics, key features, and evaluation strategies.
Partner with Marketing and Product teams to craft measurement plans, offer mentorship on standard methodologies for experimentation and accelerate drive decision-making through experimentation and causal inference techniques.
Lead and guide the work scope of data scientists within the same domain, exemplifying high-quality output for both you and your team. Provide ongoing and constructive feedback, acknowledging individual strengths and contributions while seeing opportunities for performance improvement.

What you’ll need:

Proven hands-on experience as a Data Scientist in a customer-focused organization actively engaging in data-driven initiatives and projects.
Strong proficiency in Python and along with expertise in utilizing the Hadoop ecosystem and standard tools such as Git, bash, and SQL to tackle data-related tasks and analyses.
Hands-on involvement in handling the complete lifecycle of Machine Learning models, including tasks such as data labeling, training, and ongoing maintenance.
Strong business and product understanding. Redefining ambiguous questions into well-defined analyses and success metrics that drive impactful business decisions.
Excellent communication skills for collaboration and alignment.
Proficiency in Machine Learning, statistical modeling, and data mining.
Leadership in driving technical projects and delivering successful results.
Advocate for building a diverse and hard-working team.

Mental and Physical Demands:

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.
Frequent repetition of motions and gestures that may include the wrists, hands and/or fingers. (Required)

$148,000 - $200,000 a year
The starting salary range for this position at time of posting is USD 148, 000 to USD 200,000. Getty Images has different ranges in different locations within the US, and this range represents the starting base pay range. Actual compensation will depend on factors including but not limited to: qualifications, geographic location, skills, experience, certification, business needs, performance, and level of responsibility along with the requirements of the position. The company reserves the right to modify this pay range at any point in the future. Getty Images is committed to the health and well-being of its employees and benefits for full-time permanent employees may include participation in the company incentive program, equity, and benefits package which is inclusive of medical, dental, vision, 401(k) match, paid company holidays and time off, and paid parental leave. Visit our career site to learn more about our career opportunities and Diversity & Inclusion commitments.

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 516,000 contributors and image partners to provide comprehensive coverage of more than 160,000 news, sport, and entertainment events around the globe. With over 520 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 experiences
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.


Data Scientist

At Nielsen, we believe that career growth is a partnership. You ultimately own, fuel and set the journey. By joining our team of nearly 14,000 associates, you will become part of a community that will help you to succeed. We champion you because when you succeed, we do too. Embark on a new initiative, explore a fresh approach, and take license to think big, so we can all continuously improve. We enable your best to power our future.

Nielsen Global Media collects billions of data points on what consumers watch and buy. We study consumers in more than 100 countries, and help our clients globally identify unmet needs, develop new products and deliver them in an engaging way.  We are constantly evolving, not only in terms of where we measure, or who we measure, but in how our insights can help drive profitable growth.

DESCRIPTION

Member  of the research and Development (R&D) team that uses advanced coding,  modeling and analytics to develop future solutions and scale existing product  offerings around media campaign outcomes. Contribute to the standardization  and scalability of existing client solutions in the area of media, while  taking accountability for key decisions. Processing (client) data, and  applying advanced analytical solutions. Communicate and collaborate  effectively with others to discuss complex data-driven and code-related  matters. Develop new solutions for existing or future media clients. Use and  fit different mathematical and econometric models for explanatory purposes  that deliver better decisions, and create high-quality data visualizations for  internal and external purposes. Analysis and evaluation of large and complex  sets of consumer data (using data from millions of households). Perform  research and development based on multiple studies and analyze data on  customer demographics, preferences. Tools Python and packages for data  analysis (NumPy/ SciPy/ scikit-learn/ pandas / matplotlib, AWS, Docker,  Airflow, Git.

QUALIFICATIONS

Minimum Requirements:Master’s Degree in mathematics, marketing, or a data-driven science related field with at least 3 years of experience in market research and data analysis (Would also accept Bachelor’s degree plus 5 years of experience). Must include: Three (3) years of experience with: Statistical analysis; Survey writing; Experimental design; Media data, survey data, and survey research methodologies; Adapting analytical methodologies to cover new data sets and new use cases. Two (2) years of experience with: Data analysis, using python packages such as NumPy, SciPy, scikit-learn, pandas, matplotlib; Python programming; Version control tools such as git. Salary:  $153,525. M-F, 40 hours/week.

About Nielsen:

Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.

#LI-DNI
#IND-DNS

As the arbiter of truth, Nielsen Global Media fuels the media industry with unbiased, reliable data about what people watch and listen to. To discover what’s true, we measure across all channels and platforms—from podcasts to streaming TV to social media. And when companies and advertisers are armed with the truth, they have a deeper understanding of their audiences and can accelerate growth.

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!


Staff Research Scientist

Auto Loans
Upstart’s Auto Lending team is changing the car buying experience. We are the first of its kind to build the most sophisticated machine learning models that are revolutionizing the car buying experience. We’re a fun-loving, hard working group of trail blazers who believe anything is possible with the right team. Our product offers a fully end-to-end digital lending experience which includes our leading AI lending technology. With 53% fewer defaults at the same approval rate and 5x more risk separation than Fico, we are truly changing the game.
The Team
At the heart of the auto loan product sits our underwriting models that evaluate the risk of every applicant. The auto underwriting ML team is responsible for researching and building these models and therefore have a direct impact on our company’s success. The team is part of the Machine Learning organization and consists of Research Scientists, Data Scientists, ML Engineers and other highly specialized roles.
Because our challenges are so new, members of the team need strong creative problem-solving skills and the technical background to implement solutions. Our research environment affords team members the opportunity to utilize a variety of statistical and machine learning methods with the freedom and encouragement to pursue alternative approaches to solving problems. We are continuously seeking the next big ideas to move our business forward.

The Role
As a Staff Research Scientist with Upstart, you'll enjoy a fast-paced environment with a focus on productionalizing, deploying and training machine learning models. You’ll also have an opportunity to work alongside a talented team that values curiosity, humility, drive and teamwork.

Position Location - This role is available in the following locations: Columbus, Austin or Remote (#LI-REMOTE)

Time Zone Requirements - This team operates on either the East or West Coast time zones.

Travel Requirements - This team has regular on-site collaboration sessions six times annually split between our San Mateo or Columbus office locations. If you need to travel to make these meetups, Upstart will cover all travel related expenses.

What we’re looking for:

Strong academic credentials with a master's degree in computer science, statistics, mathematics, or other quantitative areas of study; Ph.D. preferred
Generally 4-5+ years experience in autonomous research and development of high impact production models in the real world
Full-stack expertise with all steps of the modeling process from ideation to productionalizing code; OR deep expertise in either statistical modeling or machine learning
Ability to discover and deliver significant improvements to Upstart's core business while setting the standard for quality and velocity
Programming expertise with Python with proficiency in writing clear, bug-free and well-documented code that runs well and is easily understood
Proficiency in many, with deep expertise in some- mathematical, statistical learning and machine learning concepts
Knowledge of machine learning, pipelines and engineering architecture with detailed understanding of building good technical solutions; ability to convert ideas into testable hypotheses and/or next steps
Ability to lead several projects that may involve multiple team members
Adeptness in dealing with technical challenges and trade-offs; ability to make reasonable decisions under uncertainty; and to prioritize effectively
Capable of leading team members on technical best practices, providing constructive feedback and mentoring to junior team members; ability to provide comprehensive and useful design and methodology reviews for ML projects.
Ability to navigate and work well with cross-functional stakeholders on projects with an understanding of how to deliver appropriate amount of technical communication communication to stakeholders to serve team or business needs
Ability to communicate technical concepts to a non-technical audience
Strong sense of intellectual curiosity balanced with humility, drive and teamwork
Numerically-savvy and smart with ability to operate at a speedy pace
Enthusiasm for and alignment with Upstart’s mission and values

What you’ll love:

Competitive Compensation (base + bonus & equity)
Comprehensive medical, dental, and vision coverage
Personal Development and Technology & Ergonomic Budgets
Life insurance and disability benefits
Clubs and Activities  (Game Nights, Fitstarters, Superwomen, Book Club, Investing Club, Money Discussions, Photography Club and Basketball teams)
Generous vacation policy
401(k) and Employee Stock Purchase Plan (ESPP)
Catered lunches + snacks & drinks

The minimum base pay for this position in Colorado is $155,000 + bonus + equity + benefits. Base pay may vary depending on job-related knowledge, skills, and experience. This information is provided in accordance with the Colorado Equal Pay Act. It is specific to Colorado and may not be applicable to other locations.
#LI-REMOTE
#LI-MidSenior


Senior Data Scientist

ABOUT THRIVE MARKET

Thrive Market was founded in 2014 with a mission to make healthy living easy and affordable for everyone. As an online, membership-based market, we deliver the highest quality healthy and sustainable products at member-only prices, while matching every paid membership with a free one for someone in need. Every day, we leverage innovative technology and member-first thinking to help our over 1,000,000+ members find better products, support better brands, and build a better world in the process. We recently reached a significant milestone by becoming a Certified B Corporation, making us the largest grocer to earn this coveted qualification.

Our team is growing, this time Thrive Market is seeking to add a Senior Data Scientist to our Platform Engineering team. This is a business-critical role where you will have the opportunity to build data science the way you think it's intended for our subscribers needs.

At Thrive Market, we've created a transparent, data-centric environment from the beginning and we'll need your help applying algorithms, machine learning, and other tools across our business departments. Such as engineering, marketing, merchandising, and operations to unlock our full potential.

RESPONSIBILITIES:

Utilize advanced statistical techniques, machine learning algorithms, and predictive modeling to analyze large datasets and uncover patterns, trends, and insights related to customer behavior, purchase patterns, user experience, and product performance.
Collaborate with cross-functional teams to identify business problems and opportunities, and develop data-driven solutions to optimize key metrics such as conversion rates, customer lifetime value, retention, and revenue generation.
Collaborate with product managers, engineers, and other teams to translate business problems into analytical projects, provide guidance on data collection and infrastructure, and ensure effective implementation of data-driven solutions.
Stay abreast of the latest developments in data science, machine learning, and ecommerce trends, and identify opportunities for innovation and application within the organization.
Work with cross-functional teams to build and productionalize predictive ML models to drive revenue through improved personalization and discovery e.g. recommenders, search, etc.

QUALIFICATIONS:

Advanced Degree (M.S. or Ph.D.) in Data Science, Statistics, Computer Science, or a related quantitative field
5+ years of experience in data science, statistical modeling, and machine learning, preferably in the ecommerce domain
Strong programming skills in languages such as Python or R, and proficiency in data manipulation, analysis, and visualization using relevant libraries (e.g., pandas, NumPy, matplotlib, seaborn)
Strong understanding of online advertising, A/B testing, cohort analysis, conversion optimization, customer segmentation, etc.
Experience with supervised and unsupervised data mining algorithms like deep learning, support vector machines, boosting, LDA, and logistic regression, etc.
Deep understanding and hands-on experience with statistical modeling, predictive analytics, and machine learning techniques (e.g., regression, clustering, decision trees, random forests, neural networks)
Strong analytical and problem-solving skills with the ability to work with complex and unstructured datasets, and derive actionable insights
Excellent communication skills, with the ability to present complex findings and recommendations to both technical and non-technical stakeholders
Strong business acumen and the ability to understand and translate business requirements into analytical projects
Proven track record of delivering data-driven solutions and driving business impact through data analysis in an e-commerce or similar industry
Experience in a startup environment is a plus!
Good critical thinking and problem solving skills
Effective interpersonal and communication skills - we work cohesively and want to bring in folks who seek to drive unity
Ability to independently lead and execute projects
Curious, hungry, proactive, results-oriented, data-driven, and thrives in fast-paced, team-oriented environments

BELONG TO A BETTER COMPANY:

Comprehensive health benefits (medical, dental, vision, life and disability)
Competitive salary (DOE) + equity
401k plan
Flexible Paid Time Off
Subsidized ClassPass Membership with access to fitness classes and wellness and beauty experiences
Stocked kitchen in our Thrive Market Home Office with Thrive Market products
Dog-Friendly Office
Yoga, meditation and other weekly events for mindfulness
Coverage for Life Coaching & Therapy Sessions on our holistic mental health and well-being platform
Free Thrive Market membership and discount on private label products
Casual atmosphere and great people to work with

We're a community of more than 1 Million + members who are united by a singular belief: It should be easy to find better products, support better brands, make better choices, and build a better world in the process.

Feeling intimidated or hesitant about applying because you don’t meet every requirement?  Studies prove that women and people of color are less likely to apply for jobs if they do not meet every single qualification. At Thrive Market, we believe in building a diverse, inclusive, and authentic culture. If you are excited about this role along with our mission and values, we sincerely encourage you to apply anyways! As the great Los Angeles King Wayne Gretzky said, “You miss 100% of the shots you don’t take.” Take the shot!

Thrive Market is an EOE/Veterans/Disabled/LGBTQ employer

At Thrive Market, our goal is to be a diverse and inclusive workplace that is representative, at all job levels, of the members we serve and the communities we operate in. We’re proud to be an inclusive company and an Equal Opportunity Employer and we prohibit discrimination and harassment of any kind. We believe that diversity and inclusion among our teammates is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. If you’re thinking about joining our team, we expect that you would agree!

If you need assistance or accommodation due to a disability, please email us at eoe@thrivemarket.com and we’ll be happy to assist you.

Ensure your Thrive Market job offer is legitimate and don't fall victim to fraud. Thrive Market never seeks payment from job applicants. Thrive Market recruiters will only reach out to applicants from an @thrivemarket.com email address. For added security, where possible, apply through our company website at www.thrivemarket.com.

© Thrive Market 2023 All rights reserved.

JOB INFORMATION:

Compensation Description - The base salary range for this position is $130,000 - $170,000/Per Year.
Compensation may  vary outside of this range depending on a number of factors, including a  candidate’s qualifications, skills, competencies and experience, and geographic location.
Total Compensation includes Base Salary, Stock Options, Health & Wellness Benefits, Flexible PTO, and more!

#LI-DR1


Senior Manager Data Science

Senior Manager, Data Science
United States ● Virtual
                Req #38459
Wednesday, July 5, 2023
Gannett Co., Inc. (NYSE: GCI) is a subscription-led and digitally-focused media and marketing solutions company committed to empowering communities to thrive. With an unmatched reach at the national and local level, Gannett touches the lives of millions with our Pulitzer Prize-winning content, consumer experiences and benefits, and advertiser products and services.
Our current portfolio of media assets includes The USA TODAY NETWORK, which includes USA TODAY, and local media organizations in 43 states in the United States, and Newsquest, a wholly-owned subsidiary operating in the United Kingdom. We also own digital marketing services companies under the brand LocaliQ, which provide a cloud-based platform of products to enable small and medium-sized businesses to accomplish their marketing goals. In addition, our portfolio includes one of the largest media-owned events businesses in the U.S., USA TODAY NETWORK Ventures.
Gannett open roles are featured on various external job boards. When applying to a position at Gannett, you should be completing an application on Gannett Careers via Dayforce. Job postings directing you to complete an application on other external sites may not be valid.
To connect with us, visitwww.gannett.com
Gannett is seeking a highly experienced and visionary Director of Data Science to lead our data-driven initiatives and maximize the value of our data assets. As the Director of Data Science, you will be responsible for overseeing the development and implementation of data science strategies, managing a team of data scientists, and collaborating closely with cross-functional stakeholders to drive data insights and innovation. This is a strategic leadership role that requires a deep understanding of data science methodologies, exceptional analytical skills, and the ability to translate complex technical concepts into actionable business strategies.
The Director of Data Science is tasked with consistently identifying and monitoring key business risks and realizing the data needs of the business. You will manage a team of data scientists who have both technical savvy and the ability to understand how their work drives business results. You will lead the process to further intensify our focus on data science – using it to analyze our past performance as well as build a data science and modeling engine that will help us predict the future.
What you’ll do:
Leadership and Strategy:
Develop and articulate a comprehensive data science strategy aligned with the company's goals and objectives.
Provide visionary leadership, establish priorities, and set clear goals for the data science team.
Collaborate with executive management to define data science initiatives that drive business growth and competitive advantage.
Team Management:
Build and lead a high-performing data science team, including hiring, training, mentoring, and performance management.
Foster a culture of innovation, collaboration, and continuous learning within the data science team.
Encourage the use of best practices, effective methodologies, and advanced analytical techniques.
Data Science Project Management:
Oversee the end-to-end execution of data science projects, ensuring adherence to timelines, quality standards, and budget constraints.
Define project scope, deliverables, and success metrics in collaboration with stakeholders.
Develop data solutions to address business pain points
Monitor project progress, identify risks, and provide timely solutions to ensure successful project completion.
Maintain and enhance current models, tools and data sources to deliver increasingly valuable, repeatable and scalable analytic solutions
Data Insights and Innovation:
Work closely with cross-functional teams to identify business challenges and opportunities that can be addressed through data analysis and modeling.
Lead the exploration and evaluation of emerging data science technologies and methodologies to drive innovation and enhance data capabilities.
Translate complex data insights into actionable recommendations for business stakeholders and executive leadership.
Data Governance and Compliance:
Establish and enforce data governance policies, standards, and best practices to ensure data quality, integrity, and privacy.
Ensure compliance with relevant regulations and industry standards related to data management and protection.
Who you are:
Prefer 10+ years of relevant experience in data analytics and at 5+ years of managing a team of data analysts and/or data scientists
Communicator: You can communicate complex ideas clearly to technical and non-technical audiences alike. Your team knows their priorities and you manage expectations with your broader cross-functional stakeholder network and leadership team
Technical: Hands-on experience with data science, model development through deployment, and subsequent monitoring. You have experience prototyping, implementing, and maintaining data science solutions in a large enterprise.
Bachelors/master's degree in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field. Work experience of the same is also expected. ￼
Proven and successful experience track record of leading high-performing data science teams leading through the successful performance of advanced quantitative analyses and statistical modeling that positively impact business performance.
The candidate for this position will have to be highly proficient and experienced in scripting languages and have rapid prototyping skills, that is, fluency in Python or R and SQL, Google cloud and open source (for example, scikit learn, tensorflow, torch). Experience in an advertising-based business is a plus.
#PRODUCTGNT#LI-SG1#LI-REMOTE
Gannett Co., Inc. is a proud equal opportunity employer committed to building and maintaining a diverse workforce. As such, we will consider all qualified applicants for employment and do not discriminate in connection with employment decisions on the basis of an applicant or employee’s race, color, national origin, ethnicity, ancestry, citizenship status, sex, gender, gender identity, gender expression, religion, age, marital status, personal appearance (including height and weight), sexual orientation, family responsibilities, physical or mental disability, medical condition, pregnancy status (including childbirth, breastfeeding or related medical conditions), education, genetic characteristics or information, political affiliation, military or veteran status or other classifications protected by applicable federal, state and local laws in the jurisdictions where Gannett employs employees. In addition, Gannett Co., Inc. will provide applicants who require a reasonable accommodation, as a result of an applicant’s disability or religion, to complete this employment application and/or any other process in connection with an individuals’ application for employment with Gannett Co., Inc. Applicants who require such accommodation should contact Gannett Co., Inc.’s Recruitment Department at Recruit@gannett.com.
Other details

    Job Family
    Enterprise Data Management

    Job Function
    Data Science

    Pay Type
    Salary

                    Apply Now


Senior Data Scientist Clinical Research Commercial Pharma Analytics

A career within Forsyth Health’s Data & Analytics team will provide you with the opportunity to help Pharma/Life Science organizations uncover patient and market insights. At Forsyth Health, we focus on a collection of data management, business intelligence and advanced analytics capabilities to support various functions within these organizations within these organizations to meet their business needs around market access and patient support programs.
How you'll make a difference:
The Sr. Data Scientist role is a key role to the enterprise and will be supporting a highly complex and growing area within the health care data and analytics services space. As a strong individual contributor, the role will lead client engagements to define, develop and communicate insights critical to Commercial, Market Access, HEOR and Evidence Generation functions at Pharma/Life Science. Responsibilities include leading Outcomes Research studies, Advanced Analytics, ML model development and general analytic support for all stakeholders.  This role will work closely with the internal Sales and Technology teams.  This person will need to be able to understand the needs within the Commercial Pharma Analytics space and translate those into actionable insights.
What you'll do:
Consult and communicate research insights effectively with external stakeholders to help understand complex issues and inquiries, while prescribing action or solutions.Patient analytics using Real-World Data sources such as anonymized longitudinal patient claims data, lab/diagnostic testing data, etc.Focus on providing thought leadership and technical expertise across Data & Analytic Solutions in various therapeutic areasDeliver commercial Life Sciences Market Access data analysis, including pull-through analysis, Outcomes Research, Patient Journey and Epidemiological studies.Execute HEOR research using internal and external datasets, including creating protocols and statistical analysis plans, executing research, and generating final reports for publication (manuscripts, posters, presentations)Collaborate on developing clinical patient registries and underlying analytic methodologies to augment closed claim & patient data, identify trends and provide industry insights.Assist in developing the data strategy for the enterprise.Act as liaison for shared services between Evernorth and Forsyth Health.Research and deploy new tools, applications and data frameworks that will be an enabler the team.Manage multiple projects while supervising timelines, priorities, and escalations.
Qualifications & Experience:
BS/MS/PhD in Computer Science, Public Health, Health Outcomes, Epidemiology, Statistics, or in any technical field that provides a solid basis for analytics highly desired.Advanced degree or equivalent and at least 5 years of experience in Payer/Pharma/Life Sciences related analytics/data science.Prior experience in Healthcare analytics, Specialty Medication analytics or Health Outcomes preferred.Prior publication experience and/or presenting at industry conferences such as ISPOR, AMCP, ASCO etc.  is preferred.A demonstrated ability to understand and effectively communicate (both verbally and written) analytic and clinical data to a varied audience.Deep healthcare data (e.g., Payer/Pharma experience, EMR Data, Medical and Pharmacy claims), statistical analysis experience, and an understanding of all the associated clinical, utilization and financial levers.General familiarity with analytic tools and solutions including Teradata, SAS, tableau, Hadoop, Python, relational databases.
If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.For this position, we anticipate offering an annual salary of 113,500 - 189,100 USD / yearly, depending on relevant factors, including experience and geographic location.
This role is also anticipated to be eligible to participate in an annual bonus plan.
We want you to be healthy, balanced, and feel secure. That’s why you’ll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k) with company match, company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, visit Life at Cigna Group.
About The Cigna Group
Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we’re dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.
Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.
If you require reasonable accommodation in completing the online application process, please email: SeeYourself@cigna.com for support. Do not email SeeYourself@cigna.com for an update on your application or to provide your resume as you will not receive a response.
The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.


Data Science Manager

Are you passionate about healthcare, machine learning, and predictive analytics and looking for an opportunity to strive to help make prescription drug costs predictable for the average American?
This role will report to the Actuarial Analytics practice and will utilize various data tools to architect data science solutions within the Medicare market and the PBM Health space. The role will be best suited for candidates with strong Machine Learning (ML) and data science background as well as an interest in working to help solve problems that will matrix and allow for development to understand the background in the Medicare Part D space to develop robust drug trends, clinical disease, and drug management solutions.
This role allows for deep dive into existing actuarial analyses for the drug landscape spanning governmental drug and medical programs.
Product Support & Development
Construct frameworks and deploy ML to analyze large amounts of health data to identify patterns and anomalies to identify clinical and disease management opportunities.Utilize ML to identify patient comorbidities cohorts, extrapolate patient spending patterns, close information asymmetry gap, and create educational opportunities to demystify prescription drug coverage for beneficiaries.Use ML methods to improve the speed and accuracy of beneficiary risk assessments for better segmenting risk profiles and identifying at-risk beneficiaries.Perform financial analysis of proposed regulatory changes, and other program changes by CMS to determine the financial impact on various entities within the drug supply chainBuild analytics Minimum Viable Product (MVP) products and project management functions and facilitate effective pilot analytics improvement processes to accelerate and safeguard improvements.Identify and develop the right talent for the team to deliver on our innovative analytics roadmapLead technology and cultural change in Data Science within the actuarial team and organization at large to deliver data-driven health insights
Client Support
Advanced trend analyticsMedical Loss Ratio (MLR) / member profitability projectionsFormulary StrategyClinical Analytics around prescription drugs pipeline productsMember risk score benchmark analysisAssimilate macro and micro trends, develop benchmarks, and gather competitive intelligence to develop market competitive strategies
Qualifications
Bachelor’s degree in Mathematics, Statistics, Computer Science or other quantitative fields strongly preferred4+ years of Data Science, Machine Learning, Predictive Analytics or related experience Pharmacy Benefit Manager (PBM), healthcare or pharmaceutical experience preferredUnderstanding of fundamental health care and Medicare knowledge preferredProven capabilities in modeling, forecasting, and predictive analyticsStrong written and verbal communication and presentation skillsAbility to gather and analyze information to aid in the growth of existing businesses and the building of new businessesCoding skills in either SQL / SAS required; Python / R other languages preferred
Understanding of Structured Data and Machine Learning Models:
Experience with deep learning frameworks (like TensorFlow or PyTorch ) preferredIndustry or academic experience working on a range of Machine Learning problems.Strong data science skills with a focus on building sound and scalable Machine LearningA real passion for finding, analyzing, and incorporating the latest research, technologies, and techniques directly into a production environment.Understanding of neural networks preferred
If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.For this position, we anticipate offering an annual salary of 95,300 - 158,900 USD / yearly, depending on relevant factors, including experience and geographic location.
This role is also anticipated to be eligible to participate in an annual bonus plan.
We want you to be healthy, balanced, and feel secure. That’s why you’ll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k) with company match, company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, visit Life at Cigna Group.
About Evernorth Health Services
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.
Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.
If you require reasonable accommodation in completing the online application process, please email: SeeYourself@cigna.com for support. Do not email SeeYourself@cigna.com for an update on your application or to provide your resume as you will not receive a response.
The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.


Senior Data Scientist

Thrive is a leading behavior change technology company founded by Arianna Huffington in 2016 with the mission to end the stress and burnout epidemic. Thrive helps individuals and organizations improve well-being, performance and mental resilience with its AI-powered behavior change technology platform. Thrive’s Microsteps – small, science-backed steps to improve health and productivity – have been adopted by employees at more than 125 organizations in over 140 countries, from frontline and call center workers to executives at multinational companies.

As a Senior Data Scientist, you will be empowering Thrive’s cross-functional team of engineers, analysts, product managers, and stakeholders to leverage technology and data to make mission-critical decisions. You will be a foundational member of our team of data scientists, ML engineers, and data engineers and weave data-driven insights throughout Thrive’s product. You’ll define new metrics, develop and share key strategic insights, evaluate and oversee the efficacy of model outputs, and drive impact across the product team.
This role is Remote and open to candidates in UTC+1 to UTC -5
This role is open to Senior data scientists and above, Staff / Principal variants exist for the right candidates.

If you’re not sure that you’re 100% qualified, but this sounds like a role you would Thrive in – we want you to apply! We believe skills are transferable and passion for our mission goes a long way.

Who You Are:

A hands-on contributor who enjoys working with stakeholders to identify and improve the status quo; someone who is passionate about using data for positive behavior change.
A thought leader in data science, who has big ideas and the capability and tenacity to see them through to production working with engineering, data and product.
A skilled communicator who can make recommendations by clearly articulating value and tradeoffs.
Someone with a strong knowledge and experience in statistics and relevant programs, languages and tools Python/R and SQL.
A professional who manages time and prioritizes effectively to meet deadlines.
Someone who is energized by the dynamics of a start-up environment, demonstrating flexibility, resourcefulness and high energy to get work done.

How You'll Contribute:

Develop a deep understanding of all the data relevant to the problem to be addressed. Establish deterministic and probabilistic linkages between data sources and develop ways to extract and summarize the sought information in the data using a wide variety of statistical, data mining and machine learning techniques.
Comprehend our available data, identify usable data, and propose data collections we should be thinking about..
Collaborate with product managers to drive strategy and execution to achieve product adoption objectives.
Help put in place the framework and mechanisms to share insights across the organization with the goal of keeping the customer at the center of everything we do and enabling faster, more informed decision-making.
Be a thought leader and go-to expert on data science and tooling.
Code deliverables in tandem with the engineering team.
Create prototypes of productizable ways to perform the analysis at scale, provide documentation and help educate your colleagues in different functions about the solution.

Must Haves:

Bachelor’s degree in Computer Science, Statistics, Mathematics, Software Engineering, a related technical field, or equivalent work experience.
5+ years of experience building systems in a data scientist role; experience within a start-up environment is preferred.
Technical skills R/Python and SQL, and experience with business intelligence tools such as Tableau or Looker is a plus.
Strong domain knowledge of Bayesian modeling, causal inference, experimentation, and experimental methods.
Project management and prioritization experience, preferably with Data Engineering, Product Management, and Software Engineering teams.
Prior experience with fully integrating data science solutions into the business and operationalizing ML models with a consistent clear track record of delivery.

What We Offer:

Being part of a mission-driven company that’s truly making a difference in the lives of people around the world
Ability to develop within the company and shape our growth strategy
A human-centric culture with a range of wellness perks and benefits
A competitive compensation package
Medical, dental and vision coverage + 401k program with company match
Generous paid time-off programs

Thrive’s mission is to end the stress and burnout epidemic by offering companies and individuals sustainable, science-based solutions to enhance well-being, performance, and purpose, and create a healthier relationship with technology. Recent science has shown that the pervasive belief that burnout is the price we must pay for success is a delusion. We know, instead, that when we prioritize our well-being, our decision-making, creativity, and productivity improve dramatically. Thrive is committed to accelerating the culture shift that allows people to reclaim their lives and move from merely surviving to thriving.

Compensation for this role depends on level, and will likely fall in the $120K-140K range. We provide a competitive mix of salary, performance bonus, and equity

Thrive is deeply committed to creating a safe and welcoming work environment free of discrimination and harassment so that all employees can bring their whole selves to work.
Thrive is proud to ensure equal employment opportunity (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, gender identity, gender expression, sexual orientation, age, marital status, family or parental status, veteran status, or any other characteristic protected by applicable federal, state or local law.
Thrive is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. Please inform Thrive’s Recruiting team if you need any assistance completing any forms or to otherwise participate in the application process.


Senior Product Manager Ads Contextual Intelligence

Location:
Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly and will continue to be after the pandemic.
Team Description: Ads Contextual Intelligence (ACI)
Reddit is poised to rapidly innovate and grow like no other time in its history. The Reddit Ads team is entering an exciting new phase following the acquisition of Spiketrap, now known as Ads Contextual Intelligence (ACI) team. This unique opportunity will allow you to join a high-performing team that will shape the integration of ACI into Reddit's ad tech stack, connecting redditors with brands they love more effectively than ever before.
Role Description:
As the Senior Product Manager for ACI Integration, you will be responsible for overseeing the integration of the ACI technology into Reddit's ad tech stack. You will work closely with teams focused on expanding the ACI knowledge graph, processing and delivering contextual signals at scale, and creating contextual signals for text-heavy data.
Your responsibilities will include:
ACI Integration Strategy: Champion the product vision and strategy for integrating ACI into Reddit's ad tech stack, ensuring a seamless transition and optimal performance.Cross-functional Collaboration: Collaborate with product managers, engineers, scientists, designers, marketing, sales, and other cross-functional partners to design, implement, and launch ACI features that improve business performance and user experience.Scalability and Optimization: Identify opportunities to scale and optimize the ACI integration, driving purchase volume and return on ad spend for advertisers on Reddit.Roadmap and Execution: Own the roadmap for ACI integration and drive execution across product areas, ensuring that milestones are met and that the integration is successful.
Required Qualifications:

Technical degree (computer science, engineering, mathematics, economics or related field)
Machine Learning Experience against large sets of contextual data
4+ years of experience working of product management experience, ideally in a technology company
Some Ad Tech experience in a combination of the following domain relevant areas (e.g. machine learning, natural language processing, content understanding, knowledge graph architecture care and feeding, search / recommendations engineers, embedding optimization, ad serving, etc.) or similar relevant experience from non-ad Tech companies.
Experience with building enterprise-user or end-user products
A track record of developing and championing product strategy and vision
A compelling influencer with strong communication and interpersonal skills
Exceptional analytical and problem-solving skills
Strong organizational and execution skills
A track record of having quantifiable business impact
North America timezone-based, west-coast ideal

Preferred Qualifications:

Deep experience in Ad Tech experience in a combination of the following domain relevant areas (e.g. machine learning, natural language processing, content understanding, knowledge graph architecture care and feeding, search / recommendations engineers, embedding optimization, ad serving, etc.) or similar relevant experience from non-ad Tech companies.
Proven experience driving and delivering large initiatives, across teams, and on highly cross-functional products from ideation through execution.

Benefits:

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

#LI-AS5   #LI-Remote


Sr Data Scientist

Per the New York state statute, the estimated range of compensation for this job at the time of this posting, is $146,500-$225,650. This position may be eligible for incentive pay, for openings where this is applicable.
At HP, we believe in the power of ideas. Our vision is to create technology that makes life better for everyone, everywhere — every person, every organization, and every community around the globe. This motivates us — inspires us — to do what we do. To make what we make. To invent, and to reinvent. To engineer experiences that amaze.
The Sr. Data Scientist possesses unique mastery and recognized authority on relevant subject matter knowledge including machine learning technologies, theories and techniques. They will contribute to the development of innovative principles and ideas. They will successfully operate in HP’s most complex disciplines and provide highly innovative solutions.
Leads large, cross-division functional teams or projects that affect the organization's long-term goals and objectives. May participate in cross-division, multi-function teams. Provides mentoring and guidance to lower level employees. Routinely exercises independent judgment in developing methods, techniques and criteria for achieving objectives. Develops strategy and sets functional policy and direction. Acts as a functional manager within area of expertise but does not manage other employees as a primary job function.
Responsibilities
Leads organization wide team or teams of other data science professionals in complex projects to mine data using modern tools and programming languages. Defines and implements models to uncover patterns and predictions creating business value and innovation. Manages and creates relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives. Communicating business value and innovation potential through effective insights/visualizations. Represents the business at data science events, forums, boards. Prepares and presents literature, presentations, invention disclosures for peer review & publication in industry data science domain initiatives and conferences. Assures insights are communicated regularly and effectively, reviewing designs, models and accuracy and data compliance. Defines, communicates and drives data insights/innovation into the business. Leverages recognized domain expertise, business acumen, and overall data systems leadership to influence decisions of executive business leadership, development partners, and industry standards groups. Provides guidance, training and mentoring to less experienced staff members.
Knowledge & Skills
Extensive experience using statistics, mathematics, algorithms and programming languages to solve big data challenges. Demonstrated innovation in the domains of generative pre-trained transformers, large language models, etc. Fluent in structured and unstructured data, its management, and modern data transformation methodologies. Ability to define and create complex models to pull valuable insights, predictions and innovation from data. Effectively and creatively tell stories and create visualizations to describe and communicate data insights. Strong analytical and problem-solving skills. Excellent written and verbal communication skills; mastery in English and local language. Ability to effectively communicate data product architectures and/or algorithm design proposals and negotiate options at senior management levels, BU and executive levels.
Scope & Impact
Collaborates with peers, junior engineers, data scientists and project team. Typically interacts with high- level Individual Contributors, Managers, Directors and Program Core Teams. Leads multiple projects requiring data engineering solutions development. Drives design innovation.
Education & Experience
Bachelor's, Master's or PHD degree in Mathematics, Physics, Computational Linguistics, Computer Vision, Natural Language Understanding and Generation OR Neuro Physics.  Typically, 10+ years’ experience including graduate or postgraduate research.
HP is an equal opportunity employer: https://www8.hp.com/h20195/v2/GetDocument.aspx?docname=c08129225