Lead Data Scientist Mobile

We are a global team of creators, storytellers, technologists, experience originators, innovators and so much more. We believe amazing games and experiences start with teams as diverse as the players and communities we serve. At Electronic Arts, the only limit is your imagination.
EA's Data & Analytics (DnA) team is accelerating our game developer's need for advanced data knowledge and toolsets.
We are hiring a Lead Data Scientist - Mobile for our Data & Analytics (DnA) Data Science team to join our current roster of lead data scientists reporting to a data science Sr Manager. The Data Science team partners with all of EA’s game studios to offer data science products and solutions. For this Lead Data Scientist role we are looking for applied and practical AI/ML expertise with a focus on Mobile Games.
You will bring expertise in the area of AI, ML, and engineering, to create best practices for EA’s mobile gaming titles and lead efforts related to life cycle management, economics, and player experience across all of our mobile titles.
Responsibilities
Work directly with mobile game teams/partners (internal clients) to understand their offerings/domain and create data science products and solutions to solve for their use cases.
Focus on problem-driven approaches, applying pragmatic solutions to game team opportunities and decisions.
Develop plans to generalize products across titles with our engineering partners.
Review mobile projects, providing guidance and being accountable for the success of the project or products produced.
Communicate data science projects and products to partners.
Ensure your methodology and experimental design and how experiments can produce relevant conclusions.
Engage with other Data Science leads, sharing best practices and help consult on cross-projects.
Design, improve and work with our data pipeline that transfers and processes petabytes of data using tools, such as: AWS, S3, Kubernetes, GCP, Python, Apache Kafka, Ruby & Hive.
Use your statistical and computational knowledge to build algorithms for calculating variances, state predictions, and find trends.
Required Qualifications
Graduate degree in Statistics, Mathematics, Computer Science or another quantitative field encouraged. (Masters/PhD)
6+ years of professional experience manipulating data sets, building statistical models and productizing models along with experience applying Data Science methodologies to real-world problems.
Expertise in the mobile gaming space, understanding typical business models, game development practices and technology.
Experience building applied models, systems or projects in the following areas: recommendation systems, retention, economics/systems experiments, ad segmentation, ML/AI engineering and deployment technology.
Experienced in analyzing extremely complex, multi-dimensional data sets with a variety of tools.
Familiarity with at least one scripting language: Python is used, but R/Scala possible.
History of mentoring junior team members.
Knowledgeable about data warehouse and non-relational data techniques to work with engineering partners.
Experience using query languages and other analytic tools.
Interest in games a big plus.
US COMPENSATION AND BENEFITSThe base salary ranges listed below are for the defined geographic market pay zones in these states. If you reside outside of these locations, a recruiter will advise on the base salary range and benefits for your specific location.EA has listed the base salary ranges it in good faith expects to pay applicants for this role in the locations listed, as of the time of this posting. Salary offered will be determined based on numerous relevant business and candidate factors including, for example, education, qualifications, certifications, experience, skills, geographic location, and business or organizational needs.BASE SALARY RANGES • California (depending on location e.g. Los Angeles vs. Sacramento): º $149,150 - $233,500 • New York (depending on location e.g. Manhattan vs. Buffalo): º $136,000 - $233,500 • Jersey City, NJ: º $171,100 - $233,500 • Colorado (depending on location e.g. Denver vs. Colorado Springs): º $136,000 - $190,850 • Washington (depending on location e.g. Seattle vs. Spokane): º $136,000 - $218,900Base salary is just one part of the overall compensation at EA. We also offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby (following 1 year of service), medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity.
About Electronic Arts
Everything we do is designed to inspire the world to play. Through our cutting-edge games, innovative services, and powerful technologies, we bring worlds with infinite possibilities to millions of players and fans around the globe.
We’re looking for collaborative and inclusive people with diverse perspectives who will enrich our culture and challenge us. We take a holistic approach with our benefits program, focusing on physical, emotional, financial, career, and community wellness to support our people through every chapter of life. We provide comprehensive benefit packages and support for a balanced life with paid time off and new parent leave, plus free games and so much more. Our goal is to provide a safe and respectful workplace that empowers you to thrive in both work and life.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.


Principal Applied Scientist

About the team
Zillow Group Legal and Compliance is a business-oriented team of skilled professionals and fun people who enjoy working in a congenial environment within an innovative, fast-paced tech, real estate, and media company!
About the role
We are looking for an outstanding intellectual property and marketing attorney who thrives in a dynamic and collaborative environment. This lawyer will provide counseling on IP-related issues; assist with managing Zillow’s IP portfolios and; and support our brand marketing efforts.
In this role, you will
Help the business enhance and protect its IP portfolio: provide guidance for identifying ideas/filing patent applications, clear trademarks and file trademark applications, help ensure maximum protection of company content and data, draft licenses, and assist with IP enforcement effortsProvide legal support and guidance on issues related to trademarks, patents, copyrights, trade secrets, rights of publicity and other forms of intellectual propertyCollaborate with legal peers and business colleagues to support traditional and digital media marketing efforts and other brand campaignsProvide sound, practical advice to business colleagues that help accomplish company objectivesProvide advice and subsequent review and approval for marketing output in all forms, including online social marketing, assessing advertising claims substantiation, reviewing and advising on creative content, and draft disclosures and disclaimers, among other dutiesNegotiate marketing and advertising related agreements, (including endorsement/talent/influencers, agency, vendor, font and music licenses, and production)
This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.In California, Colorado, Connecticut, Nevada, New York City and Washington the standard base pay range for this role is $120,900.00 - $193,100.00 Annually. This base pay range is specific to California, Colorado, Connecticut, Nevada, New York City and Washington and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.
Who you are
4+ years of a combination of IP and marketing law experience, preferably with some in-house counsel experienceExperience managing a company’s IP portfolio (including counseling on effective IP strategy options)Broad-based experience supporting marketing teams in the internet, technology, and/or media industriesA project manager, skilled at communicating with business partnersAn innovator and results oriented problem solverAble to demonstrate good judgment and evaluate risk while considering the larger pictureDiligent, detail-orientated, and meticulous practitionerJD with active state bar admission
Get to know us
Zillow is reimagining real estate to make home a reality for more and more people.
As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do helps people get home and no matter what job you're in, you will play a critical role in making home a reality for more and more people.
Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. These benefits include comprehensive medical, dental, vision, life, and disability coverages as well as parental leave, family benefits, retirement contributions, and paid time off. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For, Glassdoor Employees’ Choice Award, Bloomberg Gender-Equality Index, Human Rights Campaign (HRC) Corporate Equity Index, and TIME 100 Most Influential Companies list.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at RecruitingAccessibility@zillowgroup.com.
Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.


Data Scientist

About the team
Zillow Group is currently seeking a Data Scientist to join the ZG data science org. We’re passionate about understanding the customer journey on our platforms through deep analysis and measurement. We relentlessly advocate for a seamless and delightful home shopping experience from dream to reality! The team works closely with the product & marketing organizations to discover strategic opportunities in areas spanning the search and discovery process, membership and re-engagement, evaluation and curation of potential homes, and personalization for both the Zillow and Trulia brands. Finally, we scale this work by partnering with engineering teams to build and maintain key analytics tools and infrastructure.
About the role
By applying to this role, you will be considered for all open Data Science roles at Zillow. You will have the opportunity to deliver deep insights about how each customer can optimize their unique journey on Zillow using your expertise in: customer, marketing and product analytics, propensity modeling, causal inference, and/or experimentation. You will provide thought leadership in how we drive customer success by partnering with product & marketing teams to convert our insights into actions. Through this role you will have frequent opportunities to share your analyses and recommendations with colleagues across the organization and see the results of your efforts affect millions of people daily. You will:
Collaborate with stakeholders to develop evidence based approaches to finding gaps in the customer experience, measuring efficacy of particular solutions, and incorporating findings into the next iteration.Utilize advanced analytics including clustering, propensity modeling, statistical knowledge, and other explanatory and causal inference techniques to gain a clearer picture of customer behavior.Create compelling data stories and visualizations to influence decision makers.
This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in any of the 50 US States, with limited exceptions. In certain cases, an employee in a remote-designated job may need to live in a specific region or time zone to support customers or clients as part of their role.In California, Colorado, Connecticut, Nevada, New York City and Washington the standard base pay range for this role is $109,300.00 - $174,700.00 Annually. This base pay range is specific to California, Colorado, Connecticut, Nevada, New York City and Washington and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.
Who you are
You are ready to bring your data and analytics expertise to transform what it means to dream, search, and find a home. You seek to understand the many needs of our customers and advocate for them at every turn. You have an appreciation of the unique challenges posed by a multi-platform and multi-brand experience. Additionally, we expect you to have:
An undergraduate or Master's degree in a quantitative field (e.g. mathematics, finance, statistics, or similar) or confirmed experience within data science and analytics2+ years of work experience involving quantitative data analysis and complex problem solvingExcellent communication skills with the ability to distill complex issues and detailed analysis into simple, structured frameworks with concrete action plansDemonstrated experience working with large data sets and applying statistical modelingExperience with A/B and experimentation Strong proficiency in SQL (e.g. Hive, Presto)Strong proficiency in Python for data analysis (pandas, numpy) and modeling (scikitlearn, statsmodels, etc)Experience in sharing insights through data visualization, especially with TableauAbility to work cross-functionally and push partners to connect customer problems to business strategy.
Get to know us
Zillow is reimagining real estate to make home a reality for more and more people.
As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do helps people get home and no matter what job you're in, you will play a critical role in making home a reality for more and more people.
Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and world-class benefits. These benefits include comprehensive medical, dental, vision, life, and disability coverages as well as parental leave, family benefits, retirement contributions, and paid time off. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on Glassdoor and recent recognition from multiple organizations, including: the 100 Best Companies to Work For, Glassdoor Employees’ Choice Award, Bloomberg Gender-Equality Index, Human Rights Campaign (HRC) Corporate Equity Index, and TIME 100 Most Influential Companies list.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact us at RecruitingAccessibility@zillowgroup.com.
Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.


Fraud Data Scientist

Role Overview
We are seeking a Fraud Data Scientist to gather critical insights and identify and analyze fraud patterns across the ID.me network. In this role, you will work closely with the Fraud Analytics Team, Fraud Investigations Team, Engineering, Product and Customer Success to execute on ID.me’s fraud strategy.  If you are data-driven, results-oriented, and eager to help solve data problems related to fraud, then this would be the perfect opportunity for you.
Responsibilities

Partner with fraud leadership and fraud investigators to develop our fraud strategy
Design experiments, test hypotheses, and analyze fraud patterns that are effective at detecting fraud with low false positive rates
Leverage data analytics evaluate, recommend, and manage fraud strategies to prevent fraudulent activity on the ID.me network
Respond quickly to fraud attacks by developing fraud monitoring frameworks, dashboards, and solutions in collaboration with cross-functional teams
Recommend and build automated rules and models to support the detection and prevention of fraudulent activity
Use signals and data collected by member interactions with the ID.me network to identify the use of stolen Personal Identifiable Information (PII), social engineering, and account takeover (ATO)
Establish robust monitoring capabilities to ensure high performance of both automated and manual fraud detection processes
Build strong relationships with key partners and the leadership

Qualifications

2+ years of hands-on experience in fraud strategy or a high-tech mature startup
2+ years of experience in fraud analytics or related
Experience with deep learning frameworks such as Tensorflow, Tensorflow Recommenders, Pytorch, MXNet, Keras
MS (PHD Preferred) in a highly quantitative field (Computer Science, Engineering, Math, Operations Research, Physics, Statistics, or related)
Experience building & deploying ML products on GCP and/or AWS
Experience with SQL & the Python ML ecosystem - pandas, numpy, sklearn, etc.
Experience with Time Series Prediction models & one or more deep learning libraries
Experience in developing, managing, and manipulating large, complex datasets
Data-driven, detail-oriented individual with excellent storytelling and problem-solving abilities
Ability to work independently and autonomously, as well as part of a team
Superb time management, prioritization of tasks and ability to meet deadlines with little supervision

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


Data Scientist Eligible Health Division

Position Description:
Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development. Mathematica offers our employees competitive salaries, and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company’s growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength. Learn more about our benefits here.  At Mathematica, we take pride in our commitment to diversity. Building an inclusive culture that draws on the individual strengths of employees from different ethnic backgrounds, cultures, lifestyles, abilities, and experience is key to our success.  We are looking for data scientiststo lead and support data processing and analysis tasks, such as building data pipelines, monitoring data quality, developing documentation, applying statistical and data science methods, and creating data visualizations.  Our junior data scientists underpin our company's core offerings in program improvement and data science, which yield crucial evidence and information for policy and decision makers.  This position will either work remotely or flexibly in one of our office locations.
This position focuses on health policy, which includes projects such as:
Monitoring the impacts of an alternative payment model for primary care in terms of care quality, cost, and health outcomes for diverse beneficiaries, using claims from thousands of primary care practices across the country and predicting future hospital costs and behavior.Developing and testing how claims and survey data from federal and state-level programs could be used to measure patients’ experience of care, quality of life, care coordination, and long-term outcomes for beneficiaries enrolled in both Medicare and Medicaid.Creating an interactive data visualization tool to help local policy and decision makers understand how social determinants of health are related to health outcomes in their county, using open-source data from public agencies and non-profits.
Specifically, our data scientistscontribute to team-based projects by:
Co-developing analysis plans with a senior data scientist or researcherWriting and maintaining programming systems in languages such as Python and R to obtain, combine, and transform datasets on cloud, internal, and client serversDeveloping and maintaining documentationImplementing quality assurance practices, such as version control and testingConducting analysis and communicating results, both to clients and internal teams, such as descriptive statistics, data visualizations, and model diagnosticsLeading and managing small teams and tasks with oversight from a senior staff member
Position Requirements:
Requirements:
Master's degree, or bootcamp, with an academic record including courses in subjects such as statistics, data science, data analytics, mathematics, operations research, computer science, and/or social science; equivalent years of experience can be substitutedDemonstrated interest and/or experience using programming and data science and/or statistics to contribute to projects with a policy/social impact in academic and/or professional settingsAt least three years of experience performing data cleaning and analysis using programming languages such as R, Python, or Julia in the academic, extra-curricular, or professional environmentExperience executing data science and statistics techniques including regression modeling, machine learning algorithms, network analysis, or natural language processingAbility and desire to work independently as part of an interdisciplinary team that may be geographically dispersed. This includes being able to learn from and apply resources such as self-guided tutorials, package documentation, and academic articles and willingness to constantly learn and contribute to knowledge sharing with team members.Experience with reproducible research principles, version control, interactive visualizations, and common packages/libraries for supporting data science work in R, Python, and/or Julia (e.g., tidyverse, R Shiny, R Markdown, pandas, NumPy, scikit-learn, MLJ.jl, DataFrames.jl, and/or Makie.jl).Desired but not required: experience with healthcare datasets (for example, Medicare or Medicaid claims and enrollment data), production-quality machine learning applications, cloud computing environments, and algorithmic fairness and ethics.
This position offers an anticipated annual base salary range of $75,000- $100,000. This position may be eligible for a discretionary bonus based on company and individual performance.
To apply, please submit a cover letter, resume, location preference, salary expectations, and a code sample (or multiple), in one of the following languages: Python, R, Julia (can be provided in a file attachment or GitHub repository link).  STAFFING AGENCIES AND THIRD PARTY RECRUITERS: Mathematica is not accepting candidates for this role or any technical role from staffing agencies or third party recruiters. Please do not contact technical or senior staff at Mathematica or share unsolicited resumes. All agency inquiries go through the talent acquisition team and will be routed accordingly.
Although Mathematica does not require vaccination from COVID-19 as a condition of employment, various projects or agencies may require documentation of vaccination (or an approved exception/accommodation).
Available Locations:  Remote; Washington, DC; Princeton, NJ  To choose "remote" as your location, select "no preference."
#LI-AR1
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.


Senior Data Scientist

Location:For Those Who Work At Home - Various, Virginia 23455KeyBank is one of the 25 largest banks in the country and leverages cutting-edge technology and data-driven strategies to develop innovative solutions for our clients. Advanced analytics and technological capabilities are critically important to KeyBank’s core business practices, as it impacts the daily operations of the bank and customer experience. The Data Science and Machine Learning team sits within the Data & Decisions organization that reports directly to the CFO and is a centralized data science and machine learning organization supporting business revenue generation activities and operational efficiency across the bank. The team is composed of talented data scientists, machine learning engineers and data engineers. Our senior data scientists work directly with each line of business and other functional teams to solve complex and unique business problems by building state-of-the-art data science and machine learning solutions to support business growth and improve customer experience.The team is looking for a Senior Data Scientist to design, develop and implement advanced analytics and modeling solutions with a primary focus on credit decisioning. This role covers all key aspects of model development and analytics, i.e., data identification and gathering, methodology/technique selection, performance assessment, documentation, and ongoing monitoring. The ideal candidate should be able to work effectively with internal clients to understand their business needs, dissect complex problems, propose appropriate quantitative solutions, and develop data-driven products. The person should also be able to work cross-functionally to have the solutions implemented and provide thought leadership in different forums.ESSENTIAL JOB FUNCTIONS
Apply critical thinking skills and perform a broad range of quantitative analyses, including model development and ad hoc analytics
Research, compile and evaluate large sets of data to assess quality and determine suitability for model building; proactively seek, build and consolidate new data inputs to improve model performance
Build and deploy prototype solutions to demonstrate ideas and prove concepts
Develop/manage internal models and test/configure vendor solutions to ensure conceptually sound design, proper implementation, and acceptable model performance and monitoring
Document model development process and outcomes properly and support model validation and review to ensure models are in compliance with internal and external policies and regulations
Employ innovative techniques to drive continuous improvements in model effectiveness and efficiency
Generate deep insights through the analysis of data and understanding of business processes and turn them into actionable recommendations
Proactively develop and build technical skills and business knowledge
Effectively collaborate with compliance, technology, and risk partners
Develop presentations to summarize and communicate key messages to senior management sponsors and other stakeholders
Mentor junior team members when needed
Provide thought leadership in different forums and keep up with industry trends
REQUIRED QUALIFICATIONS
Intellectual curiosity, inquisitive nature and desire to deepen knowledge
Solid quantitative and programming background with Master’s degree in statistics, mathematics, economics, computer science, engineering, data sciences, predictive modeling, or other quantitative disciplines
5+ years of hands-on experience developing models using large data sets, preferably in scorecard and credit risk management model development
Excellent quantitative, analytical and problem-solving skills and solid knowledge of statistical analysis (regression, decision trees, clustering, scorecard modeling etc.) as well as machine learning algorithms to solve real world problems
Significant experience working with large scale structured and unstructured data
Solid understanding of credit bureau data
Hands-on work experience with statistical coding in Python, SAS, and or SQL
Strong written and oral communication skills, ability to translate technical observations to a non-technical audience
Knowledge of model risk requirements and processes, technology, and data analysis best practices
Good project management skills (clear goal setting, well-organized, detailed planning and prioritization, and ability to meet tight timeline deliverables)
Can work both independently and collaboratively
PREFERRED QUALIFICATIONS
Financial services industry experience preferred
Knowledge of and experience with cloud-based computing
Experience with creating credit decisioning models using open-source packages and AI/ML approaches
Experience with scorecard modeling tools
COMPENSATION AND BENEFITSThis position is eligible to earn a base salary in the range of $130,000 to $165,000 annually depending on job-related factors such as level of experience. Compensation for this role also includes eligibility for short-term incentive compensation and deferred incentive compensation subject to individual and company performance. Please click here for a list of benefits for which this position is eligible.Please click here for a list of benefits for which this position is eligible.Key has implemented a role-based Mobile by Design approach to our employee workspaces, dedicating space to those whose roles require specific workspaces, while providing flexible options for roles which are less dependent on assigned workspaces and can be performed effectively in a mobile environment. As a result, this role may be Mobile or Home-based, which means you may work primarily either at a home office or in a Key facility to perform your job duties.KeyCorp is an Equal Opportunity and Affirmative Action Employer committed to building a diverse, equitable and inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other protected category. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.#LI-Remote


Financial Crimes Senior Data Scientist

Location:4900 Tiedeman Road - Brooklyn, Ohio 44144-2302ABOUT THE JOB (JOB BRIEF)Under Quantitative Analytics Sr. Manager’s supervision, the Senior Data Scientist is primarily responsible for conducting quantitative modeling and analytics of financial crimes. Leveraging both current and emerging technologies and applications, this role covers all key aspects of model development and analytics, i.e. data identification and gathering, methodology/technique selection, performance assessment, documentation, and ongoing monitoring.ESSENTIAL JOB FUNCTIONS
Under Quantitative Analytics Sr. Manager’s oversight, perform a broad range of quantitative works, including model development and ad hoc analytics to address financial crime compliance needs in AML/BSA/OFAC
Research, compile and evaluate large sets of data to assess quality and determine suitability for model building
Develop/maintain internal models and test/configure vendor solutions to ensure conceptually sound design, proper implementation, and acceptable model performance
Document model development process and outcomes properly and support model validation and review
Employ innovative techniques to drive continuous improvements in model effectiveness and efficiency, e.g. reducing false positives
Proactively develop and build technical skills and business knowledge; and effectively collaborate with compliance, technology, and risk partners
REQUIRED QUALIFICATIONS
Master’s degree in statistics, mathematics, economics, computer science, data sciences, predictive modeling, or other quantitative disciplines and at least 3 years of relevant experience, preferred in AML/BSA, OFAC, or fraud modeling/analytics
Solid expertise with both traditional and Machine Learning (ML)/Artificial Intelligence (AI) modeling practice and solutions
Hands-on work experience with statistical coding in SAS and/or Python
Knowledge of and ability to leverage traditional databases, cloud-based computing, and distribution computing
Knowledge of financial crime regulatory requirements, technology, and data analysis best practices
Excellent verbal, written and visual communication skills; ability to translate technical observations to a non-technical audience
#LI-RemoteCOMPENSATION AND BENEFITSThis position is eligible to earn a base salary in the range of $77,000 to $140,000 annually depending on job-related factors such as level of experience. Compensation for this role also includes eligibility for short-term incentive compensation and deferred incentive compensation subject to individual and company performance. Please click here for a list of benefits for which this position is eligiblePlease click here for a list of benefits for which this position is eligible.Key has implemented a role-based Mobile by Design approach to our employee workspaces, dedicating space to those whose roles require specific workspaces, while providing flexible options for roles which are less dependent on assigned workspaces and can be performed effectively in a mobile environment. As a result, this role may be Mobile or Home-based, which means you may work primarily either at a home office or in a Key facility to perform your job duties.KeyCorp is an Equal Opportunity and Affirmative Action Employer committed to building a diverse, equitable and inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other protected category. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.#LI-Remote


Polling Data Scientist

About BlueLabs
BlueLabs is a leading provider of analytics services and technology for a variety of industry clients: including government, business, and political campaigns. We help our clients optimize their engagements with individual customers, supporters, and stakeholders to achieve their goals. Simply put: we help our partners do the most good by getting the most from their data.
Today, our team of data analysts, scientists, engineers, and strategists come together from diverse backgrounds to share a passion for using data to solve the world’s greatest social and analytical challenges. We’ve served more than 400 organizations ranging from government agencies, advocacy groups, unions, political campaigns, international groups, and companies. Along the way, we’ve developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach-- serving a diverse set of industries, including the automotive, travel, consumer packaged goods, entertainment, healthcare, media, telecom, and more.
About the Team:
The BlueLabs Polling Team specializes in survey data collection to provide strategic advice to our clients. We work closely with client teams and data scientists to design and implement survey programs that power our analysis and messaging recommendations. Our focus is on understanding what motivates people to vote, buy a product, hold an opinion, and whether campaigns are successful. Operating in a fast-paced, impact-oriented environment, our collaborative team engages across teams in support of our clients’ objectives. We excel at defining complex challenges, creatively sourcing data, and driving progress every day. We work in changing, ambiguous environments, and are at the forefront of addressing the most challenging issues facing the survey research industry today.
About the Role:
A Polling Data Scientist is expected to use a combination of statistics, programming, and domain knowledge to solve problems, focused on creating the methodological backbone for our general purpose products, but also lean in on client projects. They have strong technical skills and are also creative thinkers who are always looking to innovate and deliver value to our clients. They aren’t afraid of messy data, and are comfortable working in a fast paced, production-oriented environment. Our team members receive strong mentorship and are given a chance to complete projects independently.  The Polling Data Scientist is both a subject matter expert and a team leader. This position reports to the Director of Polling.
What You’ll Do:

Work with the Director of Polling on the design, implementation, and delivery of survey products and services
Develop and maintain internal software tools and systems to support the collection, processing, and analysis of survey data
Own the predictive modeling process from ingestion to deployment for key internal models
Ensure the data and modeling results meet requirements for quality and work with the team to clean, transform, aggregate, and report on data as needed
Collaborate with engineers, data scientists, program managers and external stakeholders to troubleshoot problems and proactively create solutions
Collaborate with data engineers and analysts to optimize data infrastructure and pipelines, ensuring efficient and reliable data flow
Assist in the design and execution of experiments and surveys, including sample selection, data collection, and weighting
Ensure team excellence by documenting processes and evangelizing new approaches
Work both independently and as part of a team to deliver accurate products on short deadlines

Who You Are:

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

What We Are Seeking:

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

What We Offer:
BlueLabs offers a friendly work environment and competitive benefits package including:

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

The salary for this position is $80,000 annually.
The salary range for candidates who meet the minimum posted qualifications reflects the Company’s good faith understanding and belief as to the wage range, and is accurate as of the date of this job posting.
While we have an office in Washington, DC, we are open to considering candidates from within the U.S.
To protect the health and safety of our workforce, as a company policy, BlueLabs strongly encourages all employees to be fully vaccinated against COVID-19 prior to beginning employment. BlueLabs adheres to all federal, state and local COVID-19 vaccination regulations. Except where prohibited by law, applicants who receive a conditional offer of employment will be required to produce proof of vaccination status prior to their first day of employment; if not the offer may be rescinded or employment terminated. BlueLabs will evaluate requests for reasonable accommodations for applicants unable to be vaccinated due to a religious belief, disability, pregnancy, or on an individualized basis in accordance with applicable laws.
At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. As an equal opportunity workplace and an affirmative action employer, BlueLabs is committed to creating an inclusive environment for all employees. BlueLabs endeavors to make reasonable accommodations to the known physical or mental limitations of qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations.  BlueLabs participates in E-verify. EEO is the Law.
Collection of Personal Information Notice:
As you are likely aware, by submitting your job application, you are submitting personal information to our company. We collect various categories of personal information, including identifiers, protected classifications, professional or employment related information and sensitive personal information. We may retain and use this information for up to three years, in order to come to a decision on whether or not you are a good fit for our company. We may also retain or use some of this information to comply with any requirements under law, or for purposes of defending ourselves in any litigation. We do not use this information for any other purpose, or share it with third parties, unless you become an employee. To learn more, or to see our fully Notice to Job Applicants, please click here.


Senior Manager Sales Data Science And Analytics

ezCater is the most trusted provider of corporate food solutions and is purpose-built for business. ezCater's corporate food platform and flexible, scalable food solutions allow organizations to centralize and track their food spend, and fulfill everything from daily employee meals to client meetings and company all-hands. ezCater backs this up with business-grade, best-in-class, customer service and an unmatched nationwide footprint. We're backed by top investors including Insight, Iconiq, Lightspeed, GIC, SoftBank, and Quadrille.
ezCater is looking to bring on a seasoned Senior Manager to lead our Sales and Account Data Science and Analytics team leveraging our rich data assets to identify and drive new growth opportunities.  This leader will lead and work alongside a team of Data Scientists and Analysts to create the models, metrics and data insights that drive our Sales programs and initiatives. Working with our Chief Revenue Officer and Sales and Marketing groups, the team will define the predictive and causal impact models to accelerate our customer acquisition programs. The Data Science and Analytics that powers our Sales programs includes everything from experimentation, data enrichment to lead scoring models and pipeline performance measurement.
Our ideal candidate will have proven, hands-on experience implementing a range of Data Science methods and integrating external data with experience driving the Data Science and Analytics behind a growth program. The role reports into the Chief Data Officer.
What You'll Do:

Partner directly with our Sales and Marketing leaders to develop, implement and improve the Analytics and Data Science across lead qualification, lead scoring, goal setting for “share of wallet”, sales pipeline insights and forecasting.

Oversee customer and prospect data and enrichment  initiatives. Assess data quality and Partner with business to Identify new data sources to enrich our data. Partner with our Data Engineering team to direct development efforts.

Own and develop the strategic 6-12 month analytics roadmap and agenda to deliver against our biggest business opportunities.

Lead, manage, mentor, and develop a growing team of technical analysts and Data Scientists.

Develop scalable analytic processes, methods, and self-service tools to ensure other analysts and partners are empowered to make data-driven decisions

Guide and direct analysts’ deep-dive advanced statistical and data science analyses (e.g. predictive models, classification, etc)

Collaborate with all facets of the organization including engineering to identify, capture, access and stream the data you need to drive our business results.

What You Have:

Have 6-10 years experience in a relevant field, such as Sales analytics or data science, performing quantitative and technical analysis.

Strong preference for candidates with experience leading B2B Sales or Marketing Data Science and Analytics teams with track record of lead generation and measurement.

Past experience leading individual contributors and/or large projects with multiple contributors

Self-directed and demonstrated ability to define, prioritize, and direct Analytics and Data Science initiatives

Experience proactively identifying areas where analytical efforts can add strong business value and setting the analytics roadmap for a team.

Demonstrated proficiency in explaining complex analysis and models to stakeholders at all levels of the organization and translating conclusions into straightforward and actionable business terms.

Expert proficiency in python and experience with wrangling data from large data assets.

Expert conducting quantitative analyses on with large, complex data sets using modern data exploration and visualization software (e.g. Snowflake, Looker, Tableau, Google Data Studio, PowerBI)

Demonstrated success in communicating with and influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis.

The national cash compensation range for this role is $175,000 - $225,000*.
*Please note: Final offer amounts are determined by multiple factors, including prior experience, expertise and region & may vary from the amount above. This range does not represent additional compensation benefits (such as equity, 401K or medical, dental or vision insurance).
ezCater does not sponsor applicants for work visas or legal permanent residence.
What You’ll Get from Us:
You’ll get a terrifically compelling opportunity, in an environment of radical transparency, open access to all the data, and collaborative colleagues at every level of our organization. You’ll also get sane working hours and great flexibility around work/life balance.
Have people in your life – of any age – who always, often, or sometimes need your help? We make room for that. Have a bad thing or a good thing happen to you? We make room for that, too.
Oh, and you’ll get all this: Market salary, stock options that you’ll help make worth a lot, the usual holidays, all-you-can-eat vacation, 401K with ezCater match, health/dental/FSA, long-term disability insurance, remote-hybrid work from our awesome Boston or Denver offices OR your home OR a mixture of both home and office (you choose!), a tremendous amount of responsibility and autonomy, wicked awesome co-workers, cupcakes (and many more goodies) when you’re in one of our offices, and knowing that you helped get this rocket ship to the moon.
ezCater is an equal opportunity employer. We embrace humans of every background, appearance, race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, and disability status. At the same time, we do not employ jerks, even brilliant ones.
For information on how ezCater collects and uses job applicants' personal information, please visit our Job Applicant Privacy Policy.
#LI-Remote
#BI-Remote


Data Scientist Consultant

DataKind is looking for a Data Scientist Consultant!

Objective

Nonprofit organization DataKind is requesting proposals from junior and mid-level data scientists.

Context

DataKind is a global nonprofit dedicated to harnessing the power of data science and artificial intelligence (AI) in the service of humanity. DataKind matches skilled volunteers from academia and industry with visionary changemakers, collaboratively designing innovative solutions to tough social challenges.
People are at the center of our process: DataKind follows human-centered design principles that focus on questions such as “why?”, “for whom?” and “should we?” before we get going on the “what?”. We’ll continue our work until all people and all communities can use digital technology for the outcomes they want to see, with an emphasis on including those who have historically been excluded from the technology sector or will be impacted by the intervention.

Engagement Description

DataKind’s success ultimately comes down to the quality, timeliness, and effectiveness of our volunteer data science projects. Our Data Scientist Consultant will support a portfolio of internal and volunteer-led projects using cutting-edge technology to help high-performing organizations nation-wide make an even greater impact. In this highly visible and high impact role, you’ll assist teams with any challenges they might face in building sustainable solutions.
The Data Scientist Consultant will report to the Head of Data Science and will work closely with other staff and pro bono data scientists.
This is a full-time remote consultant role from mid July through end of November 2023 with a possibility of an extension. Due to the collaborative nature of the role, we require that the majority of working hours each day fall between 8am and 6pm Eastern Standard Time.
What You’ll Do
The Data Scientist Consultant will be responsible for the following in addition to any other projects assigned by their manager:

Help manage data science and business intelligence products hosted by DataKind
Advance data science solutions beyond prototype phase
Carry out feasibility studies and exploratory analyses for proposed projects and areas of opportunity
Provide data science support for the portfolio of volunteer data science projects at DataKind
Advance internal analytics reporting and automation capabilities

The consultant should be willing to work a flexible schedule to meet on some nights or weekends with volunteer teams or to help run DataKind events.

Qualifications

At least 3 years of work experience, preferably including experience in a nonprofit or start-up context.
Fluency in data science technology stack including R/Python, SQL, Postgres, AWS, and related technologies.
Deep experience in machine learning/AI with confidence in applying, tuning and evaluating a wide variety of AI algorithms, from logistic regression and random forests to deep learning.
Comfort and skill in communicating highly technical information to semi- and non-technical audiences.

Proven track record of successfully managing full lifecycle tech/AI projects.

Experience managing technical teams and deliverables in the volunteer, non-profit or tech spaces (or perhaps all three.)
Ability to motivate people to collaborate towards a shared goal, to keep them engaged throughout the process, and to intervene as needed to make sure balls don’t get dropped.
Demonstrated customer service orientation that will allow you to represent DataKind well to our volunteers and partners alike.

Compensation
$75 - $150/hour
Based on the candidate’s level of experience.

Proposal

By 9:00 am ET on Friday, July 7, 2023, interested parties are requested to provide the following:

A resume describing relevant professional experience
A cover letter that includes a short description of why you are interested in the position and outlines how your qualifications align with the role
If possible, a relevant work sample that demonstrates your ability to break down complex concepts in a compelling, approachable way. This could be any medium - github profile, thesis, blog post, etc. - and could have redacted information as needed.
Two references (name, phone number, and email address) from similar work, including a brief description of each project scope

Selection

Strong proposals will be contacted for further discussion. These will be selected based on relevance of past experience and alignment with DataKind’s goals and budget.

DataKind is an Equal Opportunity Employer
DataKind is an equal opportunity employer and strongly encourages candidates from underrepresented groups in tech to apply. DataKind does not discriminate on the basis of race, color, gender, disability, religion, national origin, age, sexual orientation, genetic information, pregnancy, or any other protected category.
Applicants must be currently authorized to work in the United States.


Data Science Architect Google Cloud Presales

In this role you will be helping to grow the Rackspace Cloud data practice.  You will be the expert in the region and support the sales of our data projects on Google Cloud.  Our Presales Data Architects are experienced technologists with technical depth and breadth, along with strong interpersonal skills. In this role, you will work directly with our sales team to propose solutions to customers to achieve business outcomes using Google Cloud.

This is a solutions pre-sales role that places significant emphasis on consultative engagements with a wide range of customer stakeholders, Business Owners, Business Analytics, Data Engineering teams, Application Development, End Users and Management teams.

Successful candidates will be adept at evangelizing the Rackspace Data Services value proposition – across Professional Services and Managed Services; aligning it to each unique set of customer challenges and articulating the business benefits that can be delivered.

A key aspect of the role is to engage with customers early in their transformation journey to establish Rackspace credentials as a partner that can help assess, plan and execute the required data transformation or modernization.

You Will:

This is client facing, pre-sales technologist that works with designated accounts and acts as a technical advocate for Rackspace clients.
You are responsible for understanding clients’ business requirements as they pertain to Data solutions, qualifying opportunities and creating designs that match the requirements with appropriate products, managed and professional services.
Is considered a thought leader and develops IP & collateral for data and analytics.
Sells and positions implementation and advisory services primarily in their assigned LOB, but also understands and advises clients on where other strategic and advisory services fit their needs.
Client Facing Sales Support – Works with sales account team, interfacing directly with the Rackspace prospects and customers.
Builds trusted advisor relationships, understanding client’s business challenges and proposing solutions.
Develops High Level Designs and Architectures – Creates and documents architectures that address client business problems which can be used to ensure a smooth transition from presales to delivery.
Create Proposals – Develop proposals, SOWs (Statements Of Work), business cases and RFP responses,
Sales Planning – Work with management and sales teams to develop account prioritization and support strategies that will ensure a long-term trusted relationship status.
Partner Relationship Management – Develop healthy and trusted relationships with key partners in the geography.
Intellectual Property Development – Contribute to the development of Rackspace intellectual property and industry recognition (white papers, speaking engagements etc.
Administrative Overhead – Respond to email, phone calls, complete timesheets in a timely manner, expense reports and status reports as required Administrative Overhead.
Training – Develop and execute a professional plan that will enhance skills.
Contribute to sales process improvement, including developing knowledge bases, creating sales tools, and mentoring other Solutions Architects

Technical Requirements:

Has experience with traditional, as well as modern Machine Learning/Statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning
Communicate complex models and analysis in a clear and precise manner coupled with actionable conclusions and recommendations.
You have strong problem solving, analytic, decision-making capabilities and excellent communication with interpersonal skills.
You have hands-on experience with Python, PySpark, SQL and the ability to write reusable and efficient code to automate machine learning pipeline and data processes.
You have experience with deep learning library like TensorFlow and/or PyTorch as well as experience with Spark and/or Hadoop.
Have strong knowledge of Statistics, Machine Learning, Deep Learning and NLP/NLU.
You bring strong engineering mindset and exposure to software engineering principles, Agile methodologies.
5+ years of experience as a data scientist and have applied industry experience in NLP/NLU, Forecasting and Anomaly detection solution development.

Other Requirements

Highly motivated self-starter and team player and demonstrated success in prior roles.
Track record of success working through technical challenges within enterprise organizations
Ability to prioritize deals, training, and initiatives through highly effective time management.
Excellent problem solving, analytical, presentation, and whiteboarding skills.
Track record of success dealing with ambiguity (internal and external) and working collaboratively with other departments and organizations to solve challenging problems.
Strong knowledge of technology and industry trends that affect data analytics decisions for enterprise organizations.

Education:

Bachelor's degree in Engineering, Computer Science, Information Systems, or Business required
Experience may substitute for the degree requirement at a rate of 3 years’ experience for 1 year of education.
High school diploma or equivalent required

Sponsorship:
This role is not sponsorship eligible

The following information is required by the Colorado Equal Pay Transparency Act and applies only to individuals working in the state of Colorado. The anticipated starting pay range of Colorado applicants for this role is $117,000-$188,500.

Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. Information on Benefits –offered.

#LI-VM1, #LI-Remote

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

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


Data Science Trainee

·         To develop analytical models for insight generation that improves business decision making.

·         Responsible for experimenting with and implementing machine learning techniques on internal/external customer projects.

·         Responsible for learning new data science techniques/programming languages and exploring their viability on current projects.

·         Will contribute to data science team discussions, providing insight on current approaches and methods,

·         Follows established MLOps practices in software development.

·         Data science model selection and implementation.

·         Working independently while collaborating well within the team.

·         Have worked autonomously and delivered results on schedule.

Degree in Management Information Systems (MIS), Data Science/Analytics, Computer Science, Statistics and/or equivalent formal training
Proficient with machine learning and statistics
Knowledge in classification (random forest, logistic regression), regression (linear, XGBoost) and clustering (k-means)
Software development experience
Proficient in Python/R/SAS, SQL, Data Visualization (e.g. Tableau or Power BI), deep learning frameworks, Spark
Excellent communication skills
Proficient with cloud computing in environments such are AWS, Google Cloud, Microsoft Azure
Participated in numerous data science projects.
Utilized several data science methodologies.
Attention to detail
Multi-tasking
Strong analytical skills

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

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


Senior Product Analyst Senior Data Scientist Advertising

At Scribd (pronounced “scribbed”), we believe reading is more important than ever. Join our cast of characters as we work to change the way the world reads by building the world’s largest and most fascinating digital library: giving subscribers access to a growing collection of ebooks, audiobooks, magazines, documents, Scribd Originals, and more. In addition to works from major publishers and top authors, our community includes over 1.9 M subscribers in nearly every country worldwide.

Have you heard about our future of work program, Scribd Flex? As a key principle, we embrace flexibility and allow employees, in partnership with their manager, to choose the work-style that best suits their individual needs and preferences. And, we create intentional in-person moments with each other that build culture and connection.

About the Team:
The mission of the business strategy & analytics team is to ensure the entire company understands business performance and trends, and to empower all business teams to make good decisions with data.
The UGC Pillar vision and mission is to inspire the world through stories and knowledge by being the largest and most accessible library that connects storytellers with their audience. Every month, hundreds of millions of people come to Scribd and SlideShare, our UGC products, to grow themselves personally and professionally.

About You:
You are a highly motivated and analytical individual who loves solving ambiguous business problems. You thrive in a fast-paced and collaborative environment, where you can leverage your strong communication skills to effectively interact with executives, stakeholders, and cross-functional teams. You are a strategic thinker who can balance big-picture objectives with attention to detail, and you possess a natural curiosity to explore complex problems and find innovative solutions

You Will:

• Collaborate with the product team to design and execute experiments, A/B tests, and multivariate tests to optimize and improve key metrics.

• Analyze large-scale datasets to extract actionable insights and identify growth opportunities.

• Develop statistical models and algorithms to understand user behavior, predict ad performance, and drive decision-making.

• Work closely with stakeholders to define and track key performance indicators (KPIs) and provide regular reports and dashboards to inform decision-making.

• Provide expert guidance on statistical methodologies, experimental design, and data analysis techniques to enhance the team's analytical capabilities.

• Partner with cross-functional teams, including engineering, product management, and product marketing, to drive the implementation of data-driven solutions and recommendations.

• Stay up-to-date with the latest advancements in data science, advertising technologies, and industry trends to identify opportunities for innovation and improvement.

You Have:

• A strong background in data science, with a focus on statistical modeling, experimental design, and data analysis.

• Proven experience working in the advertising industry

• Expertise in programming languages such as Python or R, as well as proficiency in SQL for data extraction and manipulation.

• In-depth knowledge of statistical techniques, such as regression analysis, hypothesis testing, and experimental design.

• Experience with machine learning algorithms and their application in advertising optimization is highly desirable.

• Excellent communication skills, with the ability to distill complex insights into clear and actionable recommendations for both technical and non-technical stakeholders.

• Strong business acumen and the ability to understand the impact of data-driven insights on key business objectives.

• A master's or doctoral degree in a quantitative field such as data science, statistics, computer science, or a related discipline is preferred.

• Ability to work independently and manage multiple projects simultaneously.

• Plus if you have experience with Looker and LookML

At Scribd, your base pay is one part of your total compensation package and is determined within a range. Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location. San Francisco is our highest geographic market in the United States. In the state of California, the reasonably expected salary range is between $113,000 [minimum salary in our lowest geographic market within California] to $183,250 [maximum salary in our highest geographic market within California].

Outside of California, the reasonably expected salary range is between $93,000 [minimum salary in our lowest US geographic market outside of California] to $173,750 [maximum salary in our highest US geographic market outside of California].

We carefully consider a wide range of factors when determining compensation, including but not limited to experience; job-related skill sets; relevant education or training; and other business and organizational needs. The salary range listed is for the level at which this job has been scoped. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for a competitive equity ownership, and a comprehensive and generous benefits package.

Benefits, Perks, and Wellbeing at Scribd
*Benefits/perks listed may vary depending on the nature of your employment with Scribd and the geographical location where you work.
• Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees
• 12 weeks paid parental leave
• Short-term/long-term disability plans
• 401k/RSP matching
• Tuition Reimbursement
• Learning & Development programs
• Quarterly stipend for Wellness, Connectivity & Comfort
• Mental Health support & resources
• Free subscription to Scribd + gift memberships for friends & family
• Referral Bonuses
• Book Benefit
• Sabbaticals
• Company wide events
• Team engagement budgets
• Vacation & Personal Days
• Paid Holidays (+ winter break)
• Flexible Sick Time
• Volunteer Day
• Company-wide Diversity, Equity, & Inclusion programs

Want to learn more about life at Scribd?  www.linkedin.com/company/scribd/life

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We want our interview process to be accessible to everyone. You can inform us of any reasonable adjustments we can make to better accommodate your needs by emailing accommodations@scribd.com about the need for adjustments at any point in the interview process.

Scribd is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
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Remote employees must have their primary residence in: Arizona, California, Colorado, Connecticut, Delaware, DC, Florida, Hawaii, Iowa, Massachusetts, Maryland, Michigan, Missouri, Nevada, New Jersey, New York, Ohio, Oregon, Tennessee, Texas, Utah, Vermont, Washington, Ontario (Canada), British Columbia (Canada), or Mexico. *This list may not be complete or accurate, and candidates should speak with their recruiter about their specific location for remote work.

 #LI-Remote


Data Scientist

Salary Range: $100-140K
Job Description
We’re looking for a thoughtful, curious, and resourceful Data Scientist to join our growing team. You’re comfortable presenting insights to clients, and thrive in situations where you have to learn about and solve a client’s specific problems. This role is the technical face that accompanies our clients’ experience working with us, meaning that you will be the person leading them to solutions by presenting project results, interacting with clients in a consultative manner, and supporting overall customer success.  This is a fully-remote position with the option to work from our home office in Pittsburgh, PA, with occasional company meetings in-person.
Core duties include:

Architect, develop and deploy models and algorithms using customer, open source, and proprietary data; assess model quality, and validate and iterate on those models
Own the process of integrating customer data, analyzing it using our methodology and your data instincts, and make it deliver value to the customer
Evaluate the effectiveness and accuracy of public and private data sources, choose the right ones for our platform, and make them ready to sing harmony to a customer dataset’s melody
Help design and automate our customer dataset analysis and insights delivery process, to smoothly handle a wider variety and higher velocity of data
Act as the technical bridge between the customer and the product, making our tools useful, relaying product feedback, and customizing to a client’s needs where necessary
Leaning on your empathy and leadership skills, you will work with our clients in a consultative capacity, learning about their particular needs and being their advocate both internally and externally. That means participating in client meetings, leading technical discussions, presenting project results, interacting with clients in a consultative manner, and other technical customer-facing engagement, as needed.

We expect the balance of your work day-to-day to be 60-70% client project-centric work, 20-30% scripting to improve our shared data analytics tooling, and ~10% account management or support needs.  The hope is that feedback from your client experiences can directly make our systems more efficient, and eventually more self-serve, reducing the need for clients to have consultative project teams at all.

Professional Requirements

2+ years of experience in data science or educational equivalent; strong preference for additional experience in software, R&D, consulting or adjacent fields
Bachelor’s degree or equivalent experience in computer science, mathematics, statistics, economics, or similar
Understanding of cluster-analysis techniques (e.g. K-means, DBSCAN, etc)

Excellent communication skills; comfortable with and effective at delivering presentations

Comfortable with Python and common accompanying tools including Pandas and Scikit-Learn
Deep understanding of statistics and other mindsets for building models from data; strong data acumen in translating business problems into supervised/unsupervised machine learning problems.
Experience in AWS/GCP/Azure and/or other cloud technologies
Comfort with relational database systems and SQL
Authorized to work in the United States

Preferred Skills and Experience

Expertise in developing data science pipelines, designing and implementing effective monitoring systems for machine learning models in production, and strong knowledge of MLOps
A passion for discovering the secrets and solutions hidden in large datasets
Highly attentive to detail, with a skeptical sixth sense about signal-vs-noise
Ability to self-motivate, self-organize and work independently in a challenging, fast-paced environment with several ongoing concurrent projects
A willingness and demonstrated ability to work collaboratively with a small team; excellent internal communication skills
A can-do mentality, with the willingness to roll up your sleeves and take initiative to solve something when necessary
Knowledge of a wide variety of machine learning and statistical analysis techniques, their advantages and drawbacks, and areas of best applicability
Familiarity with machine learning approaches for time series forecasting and natural language processing (NLP)
Curious and eager problem solver, willing to bring new ideas to the team and advocate for best practices, and able to self-teach new skills when needed, with a hunger for building well-designed, high quality solutions
Recognition that there are always multiple answers to a problem and the ability to engage in a constructive dialogue to find the best path forward
Some experience with ETL processes or Data Prep tools is helpful
Experience in or exposure to the constraints of a startup environment is helpful
Ability to commute to the Pittsburgh, PA office quarterly, for company-wide meetings, and to travel to client sites when occasionally necessary for a project


Data Scientist

Job Summary:
Agero is currently seeking a talented Data Scientist to join our team. This role provides an exciting opportunity not only to harness the potential of large datasets to drive business growth and develop strategic insights but also to shape your career path towards becoming a key decision-maker. We are passionate about fostering a data-centric culture and encourage innovative thinking. If you are someone who thrives on uncovering insights from numbers and influencing business decisions through data, we would love to hear from you.
Key Outcomes:

Design, develop, and implement predictive, descriptive, and prescriptive models that could drive strategic decisions in various aspects of the business.
Analyze complex datasets, identify patterns, trends, anomalies, and derive actionable insights.
Collaborate with cross-functional teams including Data Engineers, Business Analysts, Product Managers, and other stakeholders to identify opportunities for leveraging company data to drive business solutions.
Present findings and data-driven recommendations to non-technical stakeholders and executive leadership.
Ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics employees to follow.
Develop and implement data collection methodologies and data quality assurance processes.
Collect, clean, and preprocess large volumes of structured and unstructured data from various sources.
Create data visualizations, reports, and dashboards to effectively communicate findings and recommendations to stakeholders.
Stay updated with the latest advancements and trends in data science and analytics.

Qualifications:

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a technical field.
Proficient in Python, R, SQL, and data visualization tools such as Tableau or PowerBI.
Knowledge of data visualization tools, such as Tableau, Power BI, or D3.js.
Experience in statistical techniques such as Regression, Hypothesis Testing, Natural Language Processing, Machine Learning algorithms.
Strong problem-solving skills and the ability to translate business requirements into analytical solutions.
Excellent communication skills to present findings and insights to non-technical stakeholders.
Attention to detail and the ability to work independently as well as part of a team.
Proven ability to comprehend business strategies and objectives, translate business needs into analytical projects, and derive actionable insights to positively impact business performance.

Preferred Qualifications:

Experience with big data technologies and distributed computing frameworks, such as Hadoop or Spark.
Knowledge of natural language processing (NLP) and text mining techniques.
Experience with cloud platforms, such as AWS or Azure.
Familiarity with data engineering processes, including data extraction, transformation, and loading (ETL).
Previous experience in a technical role or experience at a top-tier professional services or leading technology company.

Hiring In:

United States: AZ, FL, NC, IL, KY, MA, MI, NM, TN, and VA

Canada: Province of Ontario

#LI-REMOTE


Staff Data Scientist

General information

                                        All posting locations:

                                    Remote, Illinois, United States of America

                                        Job Function:

                                    16 - Digital

                                        Date Published:

                                    09-Jun-2023

                                        Ref #:

                                    R-70948

                                        Base Salary Range:

                                    $110,200.00 - $137,800.00

                                        Target Total Cash Range:

                                    $148,770.00 - $186,030.00

                                        Target Total Cash:

                                    Target total cash represents this role's annualized cash earning potential at target (base salary + target bonus). Target total cash is contingent on targeted company performance achievement and individual attainment of performance goals. Therefore, target total cash is not guaranteed earnings. In addition to base salary and bonus, this role is eligible for additional compensation in the form of equity.

                                        Compensation Disclaimer:

                                    The compensation offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors.
Description & Requirements
As a ‘Staff Data Scientist’ you will be lead data science function all across-multiple functional teams – disrupting from inside of a global powerhouse.  You will help build our next generation of advanced analytics products using AI- Data Science- and Machine Learning.  Examples of problems you will solve include helping R&D determine the next generation of household products- revolutionizing consumer engagement with personally relevant content- and reinventing our supply chain to eliminate food waste. Furthermore- you will:
•Lead the data science function across various agile pods•Work with the data scientists on your team to develop- own- implement and deploy state of the art machine learning algorithms and other predictive models which will service as a guiding light for change and improvement.•Work with your data science team and own selection- enhancements and integration of disruptive technologies (AI/ML- Automation- Optimization) focused on fundamentally transforming the way in which we operate.•Work with the data scientists on your team to engineer end to end solutions and bring creativity and expertise to business challenges.•Coach other Data Scientists and Associate Data Scientists and drive technical best practices.•Serve as an integral member of your Agile pod as a leader or advisor through identifying and solving complex challenges.•Evangelize the value of data-driven decision-making.•Hire and develop the best data scientists in the CPG industry•Continue your growth and serve as a leading expert in the Data Science community.
WHO YOU ARE •You have a bachelor's in data science- Computer Science- Engineering- or Statistics with 4 or more years of experience. Advanced degree in Data Science or related field ideal.•You have mastery in Python and/or R and other languages.•You have expertise in machine learning to deliver clustering- time series- classification- regression- anomaly detection- simulation- and optimization queries.•You have experience building owning full cycle end to end model deployment.•You have proven expertise in Big Data technologies such as Apache Spark- Snowflake and/or Hadoop.•You have proven expertise in cloud technology like Azure- AWS- Cloudera- GC.
About Us
Kraft Heinz is a global food company with a delicious heritage.

With iconic and emerging food and beverage brands around the world, we deliver the best taste, fun and quality to every meal table we touch.

We’re on a mission to disrupt not only our own business, but the global food industry. A consumer obsession and unexpected partnerships fuel our progress as we drive innovation across every part of our company.
Around the world, our people are connected by a culture of ownership, agility and endless curiosity. We also believe in being good humans, who are working to improve our company, communities, and planet.

We’re proud of where we’ve been – and even more thrilled about where we’re headed – as we nourish the world and lead the future of food.
Why Us
We grow our people to grow our business. We champion great people who bring ambition, curiosity, and high performance to the table as the guardians of our beloved and nostalgic brands.

Good isn't good enough. We choose greatness every day by challenging the ordinary and making bold decisions. All while celebrating our wins - and our failures – as we work together to lead the future of food.
Challenging the status quo takes talent. We invest in your purpose and potential by developing skills and nurturing strengths that leave a legacy on our business and a lasting impact on your career. Because great people make great companies, and we’re growing something great here at Kraft Heinz.
Office Collaboration & Hybrid Work Environment
We believe our office environment fuels our collaboration, connection & community as an organization and allows our employees to grow toward greatness. We also believe providing a more flexible and agile model is essential in today’s workplace. A majority of our office-based employees will be able to work remotely for up to two days each week. Additionally, employees who are subject to this hybrid model will be eligible to work from anywhere for up to six weeks in a rolling 12-month period (in maximum two-week increments and according to benefits and tax guidelines). Some jobs may be required to be performed fully in office depending on the role’s responsibilities and requirements.

                                                            Kraft Heinz is an Equal Opportunity Employer that prohibits discrimination or harassment of any type. All qualified applicants are considered for employment without regard to race, color, national origin, age, sex, sexual orientation, gender, gender identity or expression, disability status, protected veteran status, or any other characteristic protected by law. Applicants who require an accommodation to participate in the job application or hiring process should contact HRcompliance@kraftheinz.com.


Senior Data Scientist

General information

                                        All posting locations:

                                    Remote, Pennsylvania, United States of America

                                        Job Function:

                                    16 - Digital

                                        Date Published:

                                    13-Jun-2023

                                        Ref #:

                                    R-71048

                                        Base Salary Range:

                                    $96,800.00 - $121,000.00

                                        Target Total Cash Range:

                                    $121,000.00 - $151,250.00

                                        Target Total Cash:

                                    Target total cash represents this role's annualized cash earning potential at target (base salary + target bonus). Target total cash is contingent on targeted company performance achievement and individual attainment of performance goals. Therefore, target total cash is not guaranteed earnings.

                                        Compensation Disclaimer:

                                    The compensation offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors.
Description & Requirements
WHAT YOU’LL DO
As a Senior Data Scientist- you will be a core member of one of our nimble- cross-functional teams – disrupting from inside of a global powerhouse.  You will help build our next generation of advanced analytics products using AI- Data Science- and Machine Learning.  Examples of problems you will solve include helping R&D determine the next generation of household products- revolutionizing consumer engagement with personally relevant content- and reinventing our supply chain to eliminate food waste. Furthermore- you will:
Deliver systematic approaches and integrating work into products and tools with a trailblazing team of data engineers- analysts- developers- and sometimes chefs.Create repeatable- interpretable- dynamic- scalable models as the heart of new statistical products.Engineer new features by using your business acumen to improve analytical models.Collaborate to refine best practices and deploy best-in-class solutions.Evangelize the value of data-driven decision-making
WHO YOU ARE
You have a Bachelor’s in Data Science- Computer Science- Engineering- or Statistics with 5+ years of experience.You have expertise in Python and/or R and are eager to learn other languages.You are proficient in machine learning to deliver clustering- time series- classification- regression- anomaly detection- simulation- and optimization queries.You have an aptitude in Big Data technologies like Hadoop- Spark- or distributed databases like Redshift and Snowflake.


Senior Data Scientist

Why TrueML?

TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML’s approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions.

The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system.

The Opportunity:

You will join a team dedicated to creating a data driven culture and improving the efficiency and dependability of the way we make decisions. Our data scientists develop algorithms that enhance the collections process for our consumers, lead automation initiatives in the company and help create insights to better understand our product and performance.

We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team. As a Senior Data Scientist, you will play a crucial role in driving data-driven decision making and providing insights that contribute to our customers' experience. Your primary responsibilities will include leading projects independently, applying your business acumen to find the gaps in the system, and applying machine learning skills to solve them. This is an excellent opportunity for an individual who possesses a strong passion for leveraging data to solve complex business problems.

What You'll Do:

Independently lead end-to-end data science projects, from problem formulation to model deployment, ensuring successful delivery and implementation.
Apply data and algorithmic thinking to identify and understand critical business challenges, and proactively propose data-driven solutions to address them.
Work cross-functionally to identify high impact business needs and translate them into technical requirements
Conduct exploratory data analysis to uncover trends, patterns, and correlations that provide a deep understanding of our products, customers, and market dynamics.
Utilize statistical techniques and machine learning algorithms to build predictive models, recommend improvements, and optimize business processes.

What We're Looking For:

Advanced degree in statistics, applied mathematics, computer science or equivalent preferred. A Master's or Ph.D. degree is preferred.
Minimum 5+ years of data science experience, with focus in machine learning, with a track record of successfully leading and delivering complex data science projects
Strong foundational skills: Python, pandas, SQL
Hands on experience with machine learning tools, techniques, and frameworks (e.g. sklearn, Tensorflow, etc)
Strong communication and interpersonal skills, with the ability to effectively collaborate with stakeholders at all levels of the organization.

$140,000 - $168,000 a year

Salary Disclosure: This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience, and other relevant factors.

Benefits, Perks, and Culture

- Everything you need to work remotely
- Unlimited PTO
- Medical/dental/vision insurance
- 401k through Charles Schwab with employer contribution matches
- Flexible Spending Account & Limited FSA
- Short + long term disability, company paid life insurance
- Family-friendly maternity and paternity leave
- Employee assistance program (EAP) via Claremont. Get free short-term counseling for mental health, free + discounted legal consultations, free financial consultations, access to work/life consultants, and more!
- Wellness Coach for you and 5 family members. Wellness Coach gives all TrueML employees access to 3000+ on-demand sessions about meditations, fitness, nutrition, and more!
- PerkSpot discount program. PerkSpot offers exclusive discounts to 900+ merchants nationwide, and has exclusive discounts up to 60% on hotels worldwide.
- Paid time off to do volunteer work in your community.

We are a dynamic group of people who are subject matter experts with a passion for change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueAccord and make a difference.

Our Dedication to Diversity & Inclusion

TrueML and TrueAccord are equal opportunity employers. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions and this makes us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

For California Applicants: we collect personal information for employment purposes. We do not sell personal information. Most of the information we have is provided to us by you and/or collected as part of the employment process. For more details on how we use, share, and delete personal information see our Privacy Policy.