Data Scientist Sr Data Scientist

We’re looking for talented professionals, anywhere in the United States, to join us in bringing smart money management and payment solutions to everyone’s fingertips.At Green Dot, we are evolving to a new and permanent “Work from Anywhere” model designed to maximize the benefits of remote work, promote and enable a strong culture of performance and connectedness, and attract the best and brightest talent who align with our entrepreneurial spirit and mission.<<>><<>><<>><<>><<>><<>><<>><<>><<>><<>> JOB DESCRIPTIONThis is an exciting opportunity to apply data science techniques and drive the growth of Green Dot’s Direct Business - including strategic product: GO2bank -‘The ultimate mobile banking app’.  The data science team is working on several projects related to lead scoring, funnel optimization, experimentation, customer retention, product analytics and fraud/risk ops areas.  We are looking for candidates who are passionate about leveraging data science techniques to solve business problems and supplying stakeholders with actionable insights/decisions.  The ideal candidate must be a self-starter who is able to deliver high quality work within tight deadlines and potentially propose/develop innovative solutions as well.  The candidate will be reporting to Sr. Director of Data Science.Job Responsibilities
Develop and implement data science/advanced analytics enabled solutions to drive business outcomes and goals
Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for services and product enhancement.
Own and deliver predictive modeling/analytics projects of moderate scope or manage significant tasks on complex data science projects
Perform large-scale data analysis to inform business decisions around web behavior, funnel optimization, transactions, balances, customer behavior, risk and overall operational trends
Define, write queries, extract and transform data sets to create features for modeling and/or generate actionable insights
Collaborate with Data engineering and Model Risk Management to build and deploy models/analytical solutions into production
Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
Collaborate with business stakeholders as per project needs and communicate results of the models/analytical solutions developed
Perform other duties as need
Job Requirements
Bachelor’s degree in a quantitative, technical, or financial discipline required. Masters or PHD in similar field is a plus
2-7 years of experience in data science or advanced analytics based on education/experience
Advanced understanding of data science and statistical modeling techniques such as classification, clustering, regression, decision trees etc.
Proficiency writing SQL (i.e. Amazon Redshift, MS-SQL Server) and working with large data sets
Experience using Python (required), other statistical tools (such as R) and AWS Sagemaker (preferred but not mandatory)
Experience developing dashboards using business intelligence or reporting tools such as Tableau or Microstrategy
Proactive work style, progressive thinking skills, strong work ethic, communication and problem-solving skills
POSITION TYPERegular<<>><<>><<>><<>><<>><<>><<>><<>><<>><<>>Green Dot promotes diversity and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Green Dot provides reasonable accommodations for candidates on request and respects applicants' privacy rights.


Data Scientist Retention

About Us:
Live experiences help people cross today’s digital divide and focus on what truly connects us – the here, the new, this once-in-a-lifetime moment that’s bringing us together. To fulfill Gametime’s mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.

With platforms on iOS, Android, mobile web and desktop supporting more than 25,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.

Job Description:
We are looking for an organized, data-driven, and curious team player to work cross-functionally across the data, product, marketing, finance, and operations teams. As a data scientist, you will support and inform various functions throughout the company to solve business-critical issues, specifically related to our product, features, etc. You will dive into user behavior data to provide insights which will impact major business decisions and own the maintenance of Gametime’s business intelligence reporting. The ideal candidate will be able to thrive in a fast-paced environment and able to adapt to changes within the business and the industry.

What you'll do/own:

Provide insight into critical business decisions, working closely with the executive team to answer pressing issues
Analyze user behavior data and funnel metrics, generating recommendations for product and feature improvements
Maintain and improve Gametime’s business intelligence reporting infrastructure
Leverage analytics and quantitative methods to inform and influence decision-making
Influence and build relationships with people across all levels of the organization, internally and externally

Must Haves:

4+ years of Data Analyst experience, ideally at a technology company
Proficient in SQL
Experience with A/B testing a plus
Experience mapping and optimizing the customer journey
Ability to identify, analyze, and provide recommendations to complex business decisions
Solid understanding of statistical analysis and experimentation, and capacity to drive conclusions from the analysis
Ability to work across disparate data sources to obtain sensible results
Strong collaboration and communication skills
Experience with a data visualization software
Working experience optimizing marketing campaigns and channels

Nice to Have:

Some experience with Python or R
Strong problem-solving skills
Experience analyzing user-centric products, preferably in the gaming or marketplace industries

What we can offer you:

Flexible PTO
Equity
Medical, dental, & vision insurance
Life insurance and disability benefits
401K, HSA, pre-tax savings programs
New equipment setup provided
Diverse Family-forming benefits through Carrot Fertility
Wellness programs
Tenure recognition

$115,000 - $130,000 a year
At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget.

Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.


Senior Data Scientist Supply Chain

About Daily Harvest
At Daily Harvest we take care of food, so food can take care of you. We're committed to helping you nourish your body while taking care of the planet. How? By making it easy to eat more real, unrefined and sustainably sourced fruits and vegetables every day.  Our team is collaborative, driven, and future-thinking.  We're constantly learning, experimenting, and iterating, and celebrate failure just as much as success. We take risks, try new things, and we get things done. We love adaptogens and cruciferous vegetables but never say no to cake. Everything we do, we do in the service of our community.
Position Overview
Daily Harvest is looking for a Senior Data Scientist, Supply Chain to join our Data Science and Machine Learning team to work on supply chain challenges. In this role, you will be the team leader in ML applications to supply chain problems. Specifically, you will continue to improve our demand forecasting algorithm and introduce its next iteration, which should enable more portfolio management capabilities. You will act as the liaison between Data Science and supply chain/operations teams to identify high-impact opportunities and translate them into machine learning problems. If you get excited about forecasting, simulations, and linear optimization with a passion for business impact, then this role is for you!
What you’ll do:

Work with our supply chain and operations teams to identify our most pressing needs and develop end-to-end machine learning solutions
Develop ML-based demand forecasting and portfolio management tools to support supply chain optimization, inventory management, and demand forecasting
Work closely with the supply and operations teams to identify patterns, trends, and opportunities for optimization
Collaborate with cross-functional teams to design and implement data-driven solutions that drive operational efficiency and improve the customer experience
Design and develop statistical and machine learning models to forecast demand and optimize inventory levels
Build simulations to help stakeholders understand the risks of various decisions
Identify and quantify risks in the supply chain and develop strategies to mitigate them
Stay current with the latest developments in supply chain analytics and contribute to the company's thought leadership in this area
Lead and mentor junior data scientists and analysts

Who you are:

Minimum of 5 years of experience in a data science or supply chain analytics role
Deep focus on business impact and efficiency
Strong hands-on experience with at least two demand forecasting methods (e.g., ARIMA, Exponential Smoothing, Probabilistic Forecasting, Bayesian Forecasting, etc.)
Hands-on familiarity with various demand forecasting libraries (e.g., GluonTS, STAN, NeuralForecast, etc.)
Strong hands-on experience with linear programming and linear optimization (e.g., linear programing, mixed-integer linear programming, network optimization, etc.)
Hands-on experience building simulations either from scratch or using libraries such as PySim
Excellent analytical and problem-solving skills, with a strong attention to detail. An uncanny ability to take supply chain and other operations challenges and turn them into machine learning projects
Experience with our data stack: SQL, Python, dbt, Airflow, and Fivetran. Familiarity with the Google Cloud Platform ecosystem is helpful (e.g., BigQuery, VertexAI, etc.)
Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders
Experience leading and mentoring junior data scientists and analysts
Passionate about setting up and improving team processes around coding standards, MLOps, project management, and knowledge transfer

The anticipated annual base salary range for this role is $160k-$190k. Actual compensation will be commensurate with experience, qualifications, knowledge, and skills.
Benefits:

Unlimited PTO Plan + flexible working hours
Equity participation + 401K
Competitive medical, dental, + vision insurance
Fun IRL + virtual quarterly team events, happy hours, + DH team gatherings to celebrate our co-workers
Ancillary benefits: Commuter, Citi Bike discounts, + Health & Wellness Perks
Annual company retreat
Unlimited Daily Harvest in the office to keep you hustling, not hangry (...always stocked)
In office access to everything we create (including recipes in development)

At Daily Harvest, our mission is to take care of food, so that food can take care of you. And it wouldn't be possible without our team. We celebrate the unique POV that each person brings to the table and believe in a collaborative and inclusive environment. As an equal opportunity employer, we prohibit any unlawful discrimination on the basis of race, color, religion, military or veteran status, sex, gender, gender identity or expression, sexual orientation, national origin, age, disability or genetic information. These are our guiding principles and apply across all aspects of employment.

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Data Scientist Ii

Our dream of revolutionizing the fitness and wellness industry is no small feat, and we're looking for talented people to make it a reality. When you join Mindbody + ClassPass, you’ll work with kind, intelligent people and enjoy unrivaled benefits. You’ll also share in a true culture of purpose and passion centered around helping people live happier, healthier lives. We’re not just another thriving company—we’re far and away the leader of our industry. So join the team, and let’s see what we can accomplish together!
Who we are
At Mindbody + ClassPass, we’re innovating for the future of wellness by bringing together the best of both sides of the market: Mindbody is the industry’s most trusted technology platform, empowering tens of thousands of wellness brands around the world with the software and resources they need to run and grow their businesses. ClassPass is one of the most popular apps for fitness lovers and self-care enthusiasts, partnering with over 30,000 fitness studios, gyms, salons, and spas around the world. We’re on a mission to create a wellness community for all—opening the doors to more authentic, local wellness experiences than ever before.
About the right team member
The right candidate should thrive in a fast-paced environment as agile, forward-thinking, and looking to grow along with the organization. Successful candidates will be strong individual contributors, comfortable with test design and execution, and possess an intense curiosity about marketplace dynamics. They should be able to distill complex ideas to stakeholders of all levels of technical fluency.
About the role
A career at ClassPass is an opportunity for you to join a rapidly growing company committed to helping over 1 million users across 20 countries reach their fitness goals.We have an exciting opportunity for an insightful and persuasive Business Analyst to work on the Pricing & Inventory team, which manages the two-sided marketplace between our users and our fitness & wellness partners and leads on testing new pricing and supply acquisition/retention strategies.This role builds models that drive strategic initiatives, supports Pricing & Inventory programs, creates dashboards to evangelize insights, and works cross-functionally to empower stakeholders with data.
Responsibilities
Engineer prediction models for user retentionOptimize anomaly detection models for early reporting of escalations and fraudProductize clustering algorithms for user segmentationRun A/B experiments to continue optimizing the businessAutomate reporting and insights for business partners to increase engagementDesign dashboards for internal stakeholdersCollaborate with Product/Engineering to productionize data flows that power user-facing products and servicesCollaborate with Marketing on targeting segmentation and lifecycle drip campaignsCollaborate with Analytics and BI to maintain data fidelity across various data warehouses
Skills & experience
3+ years experience as a data scientist building machine learning models for business applicationDegree in a quantitative field (Economics, Finance, Mathematics, Engineering)Strong knowledge of statistics and machine learningExperience with A/B testing Fluency in SQL and Python (preferred) or RExperience in DTC and/or Subscription business models Exposure to engineering best practicesSuperb communication skills, in speech and in writingGood organizational skillsDeep sense of intellectual curiosityUnderstanding of AWS services such as S3, Athena, RDS, IAM, ECS, and EMR Entrepreneurial spirit; comfort with ambiguity and a fast-paced work environmentStrong business acumen; can consider higher-level business context and thinking while still approaching analytical problems with technical precision and data-mindednessKnowledge and/or experience with BI tools (Tableau, Looker preferred)
Pay transparency
It is Mindbody’s intent to pay all Team Members competitive wages and salaries that are motivational, fair and equitable. The goal of Mindbody’s compensation program is to be transparent, attract potential employees, meet the needs of all current employees, and encourage Team Members to stay with our organization.
Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location.
The base salary range for this position in the United States is $106,000 to $120,000. The total compensation package for this position may also include performance bonus, stock, benefits and/or other applicable incentive compensation plans.
Have we piqued your curiosity?
Sound like the role for you? We’d love to hear from you! Even if you’re not 100% sure about potential fit, we still encourage you to apply. We’re looking for the right person, not the perfect series of checkboxes.
Mindbody is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics.
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Senior Data Scientist

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At OneStudyTeam, we value belonging and believe in fostering an environment where a diversity of perspectives can thrive. This core value is a pillar of our business and critical to our success. Your voluntary responses will be used (in aggregate only) to help us identify areas of improvement in our process. Your responses are anonymous and will not be associated with your specific application and will not in any way be used in the hiring decision. If you do not wish to answer any of the questions below, please select "I don't wish to answer" or simply skip the question.
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Senior Decision Scientist Core Data Analytics

Ibotta is seeking a Senior Decision Scientist, Core Data & Analytics to join our high performing team and contribute to our mission to Make Every Purchase Rewarding. Our relatively new and fast growing Core Data & Analytics team provides high-quality, on-time data products and services across all business areas within Ibotta. We do this through our thought leadership, subject matter expertise, evangelism, and governance of business-critical data initiatives.
As a Senior Decision Scientist, you’ll have the challenging and rewarding opportunity to build on the foundation of already established data and analytics products. You’ll be able to drive initiatives forward, being responsible for project completion. In addition, you will be able to grow organizational and leadership skills by working cross functionally with stakeholders, creating processes, building out robust roadmaps, and leading other team members working on the projects.
This position is located in Denver, Colorado or with the option of full-time remote. Candidates must live in the United States.
What you will be doing:
Drive consistency through the org by providing large and complex datasets to support data analysis and business decision-makingAnalyze large datasets to extract actionable insights to inform business decisions and understand consumer behaviorBring proactive insights into our key business metrics through curiosity, dedication, and ongoing investment in understanding our productsFormulate solutions addressing major business challenges and innovation opportunitiesContribute to creating best practices and efficient processes for the teamInitiate and drive collaboration with stakeholders to define project scope, responsibilities, and expectationsWork closely with our Instructional Design team to create curriculum, documentation, and training materials for the products you ownDetermine, with the assistance of our Analytics Engineering team, how to implement anomaly detection, data lineage, and other best practices on your deliverablesEmbrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & A good idea can come from anywhere
What we are looking for:
5+ years of experience in an analytical functionBachelor’s degree in computer science, engineering, analytics or related field requiredDemonstrated analytical ability, conceptual thinking, and problem-solving skillsStrong written and verbal communication skills, able to distill complex analytical solutions into actionable insightsExcellent interpersonal skills with the proven ability to collaborate across functional areas Curiosity and the commitment to continually ask questions of our data and businessAbility to translate ambiguous business questions into structured data problemsExcels in a fast-paced environment with the capability to prioritize effectivelyExpert using modern data analysis tools (SQL, Python, R, etc.)Familiar with data visualizations tools such as Looker and Mode
About Us:
Built in Denver, CO, Ibotta, Inc. ("I bought a...") is a free mobile shopping app that gives users cash back on groceries and more. Through our partnerships with brands and retailers like Procter & Gamble, Kraft Heinz, Kellogg, Amazon, Walmart, Target and Uber, we’ve delivered over $1.25B in cumulative cash rewards to our Savers. Guided by our values and our mission to make every purchase rewarding, we come to work energized by the business problems we get to solve, the technology we get to build, and the people we get to innovate (and have fun) with. Ibotta made Inc.’s 2020 list of the 5000 fastest-growing private companies in the U.S. for the third consecutive year. In 2019, we became the first mobile consumer technology company in Colorado to achieve $1B in valuation.
To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com
Additional Details:
This position is located in Denver, CO or with the option of full-time remote and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Lifestyle Spending Account, 401k match, and equity.Base compensation range: $100,000 - $120,000. This compensation range is specific to the United States labor market and may be adjusted based on actual experience.Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard with race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.Applicants must be currently authorized to work in the United States on a full-time basis.For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels.
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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, political campaigns, and businesses. 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 Insights division creates and manages the underlying data that drives our day-to-day work. This is a new team at BlueLabs, created to meet our organization’s evolving client base and business needs, to ensure that BlueLabs is providing the most innovative data and analysis to our clients, all while developing and coaching team members to grow and respond to our company’s goals.

Ripple is a proprietary, business-to-business technology product that helps our clients identify, engage, and measure impact on influencers who matter to their causes or brands. You will join a small and growing team of data, engineering, and product professionals to help us solve some exciting and challenging problems and to deploy the next generation of Ripple.
About the role:
Data Scientists use a combination of statistics, programming, and domain knowledge to solve problems, ranging from customized solutions for specific clients to creating the methodological backbone for our internal products. They have strong technical skills and are also creative thinkers who are always looking to innovate and deliver value to our clients. They aren’t afraid of messy data, and are comfortable working in a fast paced, production-oriented environment. Our team members receive strong mentorship and are given a chance to complete projects independently.

In this position you will:
Analyze data, as well as contribute to the design, implementation, and delivery of analytics products and services
Build predictive models, tools, and data visualizations
Check data and modeling results for quality and 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
Support research development projects and data science project plans for clients and internal initiatives
Strive to support 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
Complete such other reasonable tasks as may be assigned by management

What we are seeking:
Experience working in a quantitative production environment or a postgraduate degree in a quantitative field
Experience in and ability to apply your knowledge of foundations of statistics and modeling (distributions, parameter estimation, confidence intervals and tests, etc.)
Advanced understanding of a statistical programming language such as R, Python, or Julia
Experience building predictive models using regression and machine learning techniques
Ability to manipulate data with SQL
Experience creating analytics output within a production-oriented team
Ability to effectively communicate technical concepts to a non-technical audience, both in writing and verbally
Knowledge of experimental design and causal inference
Experience creating informative and engaging data visualizations using industry leading tools
You have experience using data-driven solutions to improve social outcomes - and bring a multidisciplinary approach to doing so.
You can apply 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 respond to questions from your stakeholders while remaining objective in how you approach their unique challenges. You are able to derive value from imperfect data, but also have the ability to know when to push the emergency stop button.
The ability to successfully attain and maintain a Federal Public Trust background investigation that our government clients require; this includes a requirement that the individual has U.S. Citizenship or U.S. residency for three of the past five years

Recruitment process
We strive to hire efficiently and transparently. We expect to hire this position in October 2022. To get there, we anticipate the successful candidate will complete three (3) interviews and a technical assessment (HR interview 15 minutes; manager interview 45 minutes, and team interview/assessment 60 minutes), all virtually.  During the interview process, you will be asked questions to describe your background and experience relevant to the position. This may include providing examples of projects you worked on, tools or applications you've used, and knowledge you have applied.  We often look for explanations of "how or why" so it's helpful to have details ready.

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


Lead Data Scientist

TransUnion's Job Applicant Privacy NoticeWhat We'll Bring:•  A work environment that encourages collaboration and innovation. We consistently explore new technologies and tools to be agile.•  Flexible time off, workplace flexibility, an environment that welcomes continued professional growth through support of tuition reimbursement, conferences and seminars.•  Our culture encourages our people to hone current skills and build new capabilities, while discovering their genius.•  We provide a modern computing environment based on best-in-class "big data" and cloud computing technologies and the freedom to explore new data sources and statistical and machine learning methodologies.•  Our Analytics team is home to some of the most brilliant minds in the market. Here, we will not only understand your stats jokes, we’ll appreciate them.What You'll Bring:
Master’s or PhD degree in statistics, applied mathematics, financial mathematics, computer science, engineering, operations research, or other highly quantitative field; or a Bachelor’s degree in a quantitative field with at least five (5) years of relevant professional experience. In either case, the candidate will demonstrate a consistent track record of academic excellence.
Experience and demonstrated success directly supporting internal or external clients over a period of at least three (3) years and at least four (4) years of professional experience performing analytic work, preferably in industries served by Transunion. These experiences may or may not overlap.
Evidence of strong analytical, critical, and creative thinking and willingness to take initiative in problem-solving. Demonstrated interest and proven career path in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing.
Advanced programming skills and aptitude; proficiency with statistical programs such as R or Python; experience with other programming and data manipulation languages (SQL, Hive, Spark, C/C++, Java, Ab Initio); high level of familiarity with Microsoft Office tools.
Ability to lead complex analytic projects under limited supervision. This may entail the design, development, and delivery of complex solutions in close coordination with TransUnion’s Sales and vertical support teams, and in direct communication with customers.
Strong project and time management skills to lead multiple complex projects simultaneously with limited supervision in a collaborative and fast-paced environment. This may require the management of multiple resources within a project and the effective coordination of tasks across resources using clear workflows.
Excellent business acumen and versatile interpersonal skills to communicate effectively at multiple levels within a complex and dynamic matrix organization. Knows the organization and can flexibility adapt to changes in business objectives or organizational structure.
Good verbal and written communication skills. Proven ability to translate technical concepts into articulate actionable recommendations in a manner that is suitable to influence business partners and decision-makers inside and outside towards desired outcomes.
Ability to travel 10-20% of the time.
Impact You'll Make:This position is responsible for leading the development of analytic solutions through consulting engagements for TransUnion’s clients across a broad array of credit, fraud, insurance and marketing business applications. This position requires a good general understanding of US financial services risk management practices and familiarity with credit bureau data and solutions.
You will be a leading key contributor in internal and external cross-functional teams to drive new business initiatives and deliver long term, value-added solutions to TransUnion customers. These tasks will include –among others– the development of technical solutions to complex problems with a high degree of autonomy and limited supervision.
You will own analytic consulting responsibilities for a variety of clients, working to identify strategies and opportunities to test and adopt TransUnion’s analytic products and services. In this capacity, you will interact directly with TransUnion Sales and business unit partners and provide an analytic perspective and general support as needed.
You will lead complex custom analytic engagements in support of a variety of business use cases from start to finish; contributing to opportunity management (e.g. writing RFP responses), designing solutions, leading analytic developments, and seeing solutions through to deployment and on-going monitoring.
You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds and levels.
You will provide oversight and hands-on support for the development of analytic solutions using languages such as R, Python, SQL, Hive and Spark, formalizing some of these efforts into repeatable process improvements.
You will contribute to research and innovation initiatives in collaboration with other DSA peers and may lead small analytic research teams or manage research interns on a project basis, as needed.
You will participate in the mentoring and training of junior colleagues, fostering a high-performance culture and cultivating an environment that promotes excellence and reflects the TransUnion brand.
You may participate in the interviewing and evaluation of new talent.
#LI-SG1#LI-Remote#DICEWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. TransUnion's Internal Job Title:Sr Consultant, Data Science and Analytics


Senior Data Scientist Ii

TransUnion's Job Applicant Privacy NoticeWhat We'll Bring:At TransUnion, we strive to build an environment where our associates are in the driver’s seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day.Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.What You'll Bring:• Graduate-level degree preferred with concentration in a quantitative discipline such as statistics, mathematics, economics, operations research, computer science or aligned discipline• 3-6 years practical experience working as a data scientist applying machine learning to real-world problems• Great communication skills to articulate technical aspect of model development to internal and external customers• Excellent understanding of machine learning techniques and algorithms, such as Classification, Regression, Clustering, Feature Engineering, Decision Trees, Gradient Boosting etc.• Experience with common data science toolkits, such as R, Python, Anaconda, TensorFlow, SQL, Scikit-learn, Keras• Proficiency in using query languages such as SQL and/or RedShift• Skill in applied statistics (distributions, statistical testing, regression, regulation, etc.)• Logical, evidence-based problem solving and critical thinking skills• Team focused attitude with evidence of supporting project team membersPreferred:• Exposure to credit or financial modeling• Working familiarity with cloud computing environmentsImpact You'll Make:• Utilizing statistical and machine learning techniques to create high-performing models that comply with regulatory and privacy requirements and address business objectives and client needs• Researching and developing new approaches, keeping one's skills up to date• Testing new statistical analysis methods, software and data sources for continual improvement of quantitative solutions, implementing as needed• Processing, cleansing, and verifying the integrity of data used for analysis• Doing ad-hoc analysis and presenting results clearly• Communicating results and ideas to key decision makers• Creating clear and easy to understand documentation for models• Presenting ideas, progress reports and results to internal and external customers• Collaborating with a team lead to develop technical/business approaches and new or enhanced technical tools• Participating in collaboration for implementation• Completing all responsibilities as outlined on annual Performance Plan• Completing all special projects and other duties as assigned#DICE#LI-SG1#LI-Remote#ArgusWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. TransUnion's Internal Job Title:Acquisition Exempt, Acquired Associate


Senior Data Scientist

TransUnion's Job Applicant Privacy NoticeWhat We'll Bring:A work environment that encourages collaboration and innovation. We consistently explore new technologies and tools to be agile. Flexible time off, workplace flexibility, an environment that welcomes continued professional growth through support of tuition reimbursement, conferences and seminars. Our culture encourages our people to hone current skills and build new capabilities, while discovering their genius. We provide a modern computing environment based on best-in-class "big data" and cloud computing technologies and the freedom to explore new data sources and statistical and machine learning methodologies. Our Data Science and Analytics team is home to some of the most brilliant minds in the market. Here, we will not only understand your stats jokes, we’ll appreciate them.What You'll Bring:

Master’s or PhD degree in statistics, applied mathematics, financial mathematics, computer science, engineering, operations research, or other highly quantitative field with at least three (3) year of relevant professional experience; or a Bachelor’s degree in a quantitative field with at least five (5) years of relevant professional experience. In either case, the candidate will demonstrate a consistent track record of academic excellence.

Demonstrated ability to build and move machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
Strong analytical, critical thinking, and creative problem-solving skills.

Advanced programming skill and aptitude; proficiency with statistical programs such as R or Python; experience with other programming and data manipulation languages and big data platforms (SQL, Hive, Spark, C/C++, Java); high level of familiarity with Microsoft Office tools.
Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment; evidence of initiative-taking.
Strong project and time management skills with the ability to manage multiple assignments effectively.
Interest in internal and external consulting and ability to travel 10-20%
What we'd prefer to see:
Familiarity with identity, fraud, security, or credit bureau data and solutions.
Experience and demonstrated success in applying predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications over a period of at least one (1) year; experience building analytical solutions that deliver value and create competitive advantage.
The desire to work on full-stack data science solutions and engage in continuous learning.
Experience processing large amounts of semi-structured (esp. JSON) and unstructured data.
Proven ability to operate effectively under modest supervision in a complex and dynamic, matrixed environment.

Familiarity with graph databases, stream computing, or probabilistic data structures.
Experience with containerization and container-orchestration (esp. Docker and Kubernetes).
Experience with NoSQL databases, such as Cassandra or Elasticsearch.
Knowledge of various ETL techniques and frameworks.
Familiarity with data visualization methods and tools (D3.js, Graphite, etc.).

Understanding of massively parallel processing (MPP) and distributed computing principles.
Work experience in industries served by TransUnion, such as financial services, insurance, and digital marketing.
Work experience in SaaS or real-time solutions.
Impact You'll Make:This position is responsible for supporting the development of analytic solutions through consulting engagements for TransUnion’s clients across a broad array of credit, fraud, insurance and marketing business applications. This position requires a general understanding of US financial services risk management practices.

You will partner with internal and external cross-functional teams to drive new business initiatives and deliver long term value-added solutions to various TransUnion customers. These tasks will include –among others- the development of predictive models, new business rules, and device and other identity solutions of broad scope and complexity for customers within the various industries served by TransUnion.
You will lead analytic client engagements involving descriptive, predictive, and prescriptive analysis for a variety of business use cases leveraging multiple analytic techniques. As a project leader, you will take ownership of all aspects of the project from design to development, to peer review, to client presentation, to implementation and audit.
You will identify strategies and opportunities for customers to test and adopt TransUnion’s analytic products and services and develop project proposals, sales presentations and promotional collateral to enable the adoption of integrated customer solutions supported by TransUnion, applying your practical analytic experience to find areas of new value of TransUnion customers. In the context of these opportunities, you will interact directly with TransUnion Sales and business unit partners and provide an analytic perspective and general support as needed.

You will design, write, and test programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, SQL, Hive and Spark, formalizing some of these efforts into repeatable process improvements.
You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds and levels. You will foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.

#LI-SG1
#LI-Remote
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. TransUnion's Internal Job Title:Consultant, Data Science and Analytics


Data Scientist

TransUnion's Job Applicant Privacy NoticeWhat We'll Bring:At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation. We are consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius. Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.The Automotive Data Science & Analytics - Senior Analyst role is a highly visible position responsible for contributing to a broad range of client engagements and collaborating with the Automotive line of business to execute new solution ideas. The role contributes to new revenue growth by generating solutions and market insights for new and existing automotive clients.What You'll Bring:
A graduate degree in the hard sciences with advanced coursework in statistics
2+ years of professional statistical modeling experience. Must have knowledge of processes involved in the development of models that can be used to predict risk or marketing outcomes
Expert proficiency with one or more statistical programming languages such as R or Python
Expertise in writing advance SQL queries for data extraction
Experience in a data visualization tool such as Tableau preferred
Strong written and verbal communication skills: ability to clearly articulate ideas to both technical and non-technical audiences, strong presentation skills with comfort presenting to executive audiences
Efficient time and project management skills with the ability to oversee and manage project teams to meet project deliverables inclusive of delegating work, setting clear goals, and managing customer expectations
Impact You'll Make:
Dig in by extracting data and performing statistical analyses on Big Data (using languages such as R, Python, and SQL).
Present data in form of analyses and reports using creative Tableau Dashboards and MS PowerPoint slides.
Deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers at various levels including an executive audience; may lead key presentations to clients
Collaborate with internal and external partners to deliver innovative analytical products and insights. You will be directly involved in the integration of third-party data to enhance our TU automotive solution suite.
#LI-SG1#LI-Remote#LI-HybridWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. TransUnion's Internal Job Title:Sr Analyst, Data Science and Analytics


Bi Engineer Fraud Detection

TransUnion's Job Applicant Privacy NoticeWhat We'll Bring:At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation.  We are consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius. Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.The Corporate Investigations Department (“CID”) conducts investigations into instances of fraud, malfeasance, and account misuse, interacting with internal and external stakeholders across the enterprise. CID develops and implements industry-leading techniques in fraud prevention, detection and investigation.What You'll Bring:
Bachelor’s Degree in Computer Science, Data Science, Statistics, Mathematics, or equivalent experience in related roles
Minimum 2 years experience  working with relational databases using SQL, Hive, Dremio, Python/R or other data query, scripting languages and visualization tools like Tableau
Knowledge of statistical analysis, regression modelling and forecasting, data mining, financial analysis, and demand modelling, using statistical software
Experience in large-scale datasets, analyzing data to solve business problems, and presenting impactful insights
Requires a complete understanding of the business intelligence development life cycle including the ability to lead collaboration discussions to gather the needs for desired outcomes for the BI solutions being built
We'd Love to See:
Familiarity with latest cloud technologies and solutions
Experience in fraud solutions
Master’s degree in Big Data Analytics, Data Analytics, Statistics, or similar field preferred
Impact You'll Make:
Team up with Data Engineer in the innovation efforts of global technical development, deployment, and maintenance of the Fraud Detection & Monitoring Program using applicable data programming languages and visualization tools
Collaborate with business and process owners to assess business risks, analyze data and propose hypotheses for new fraud detection and monitoring rules
Perform exploratory data analysis to identify patterns and behaviors indicative of potential fraud, abuse/misuse or violations, conducted by internal associates and external customers
Design and develop dashboards that alert on pre-defined rules and logic
Implement temporary workarounds for any breakdowns in processes
Work closely with the Global Technology and Data Architecture teams and provide technical design recommendations on the data mart structures that support analytical applications
Create technical documentation and FAQs for operational instruction as well as presentations and project plans that will be shared with various audiences
Understand TransUnion’s products/services and partner with process owners to ensure technical requirements are prioritized, developed and delivered to meet specifications that will target fraud and misuse activities
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. TransUnion's Internal Job Title:Consultant, Data Asset Management


Data Scientist Rwe Clinical Trials

Job Summary:
The Data Scientist – RWE will be responsible for generating Real-World Evidence (RWE) through advanced analytics and innovative approaches in the clinical trials space. The data scientist will be integral part of the Scientific Affairs team The candidate should have a strong desire to influence internal and external decision making through the application of innovative data science and technology. In this role, you will conduct sophisticated data analysis to help address critical business questions. This role reports to the VP of Scientific Affairs.
Job Responsibilities:
Assists in the due diligence on new real world data providers/vendors and drive RWD quality assessments to inform investment decisionsWorks to mine raw data sets to deliver standardized, analysis-ready patient cohorts from in house data assets or online licensed platforms, including generating hypotheses and analyzing data to test and interpret results standardized in close collaboration with the value and outcomes research and patient/market access team and help shape the analytics strategyPartners with other members of the Walgreens Clinical Trial team members to deliver actionable insights from real-world, clinical and other data sources to support biopharmaceutical RWE and clinical trial requests. Potential efforts include analysis of unmet needs (safe and effective therapy in certain disease states), treatment patterns and healthcare/economic burden data to support budget impact modelling and cost effectiveness modelingCleans, transforms and stores data into an integrated data lake for future analysis and broader team consumptionPerforms data mining and statistical analysis to analyze RWE/RWD in order to find new insights regarding patient populations and treatment outcomesSupports the development of real-world data, analytics and platform capabilities, applying cutting-edge advanced analytics methodologies and tools to address scientific questions from biopharmaceutical companiesCollaborates on design and execution of outcomes research studies from a data science and analytics perspectiveEnsures high quality, rigorous and readily interpretable deliverables from RWE studies/analysesBuilds dashboards, analytics and reports for internal and external consumption.


Data Scientist Statistician

Job Summary
Applies advanced data analysis tools and techniques to provide insights and actionable recommendations for the business. Utilizes complex statistical modeling to make predictions about future outcomes and in multiple scenarios. May explain findings to business audience.
Job Responsibilities
Responsible for applying advanced data analysis tools and techniques to provide insights and actionable recommendations for the business. Utilizes complex statistical modeling to make predictions about future outcomes and in multiple scenarios.Interprets and applies data in complex analyses, and explains findings to business audiences to improve products and processes.May support or lead the development of data-related commercial offerings and/or other intellectual property (IP)Executes statistical and mathematical analyses to support business decision making.Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis, and data mining.Documents projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics.Develops materials to explain project findings.Effectively resolves problems and roadblocks as they occur.Interacts with internal and external peers and/or managers to exchange semi-complex information related to assigned activities.Prepares and presents interpretation of findings to internal clients.
An Equal Opportunity Employer, including disability/veterans
About Walgreens Boots Alliance
Walgreens Boots Alliance (Nasdaq: WBA) is a global leader in retail pharmacy, impacting millions of lives every day through dispensing medicines, and providing accessible, high-quality care. With more than 170 years of trusted healthcare heritage and innovation in community pharmacy, the company is meeting customers’ and patients’ needs through its convenient retail locations, digital platforms and health and beauty products.
Including equity method investments, WBA has a presence in more than 25 countries, employs more than 450,000 people and has more than 21,000 stores.
WBA’s purpose is to help people across the world lead healthier and happier lives. The company is proud of its contributions to healthy communities, a healthy planet, an inclusive workplace and a sustainable marketplace. WBA is a participant of the United Nations Global Compact and adheres to its principles-based approach to responsible business.
WBA is included in FORTUNE’s 2021 list of the World’s Most Admired Companies*. This is the 28th consecutive year that WBA or its predecessor company, Walgreen Co., has been named to the list.
More company information is available atwww.walgreensbootsalliance.com.


Data Scientist

Saturn Technologies - Data Scientist

At Saturn, we’re on a mission to build community around the calendar. We’re starting in high school and help tens of thousands of users manage their time and stay better connected with friends. The majority of our users are active daily. We’ve raised more than $44 million in funding from General Catalyst, Insight Partners, Coatue, Jeff Bezos, Marc Benioff, and other top venture investors. If you’re looking to drive a major impact on an energetic and ambitious team, come join us!

To learn more about Saturn’s offerings on iOS, Android, and Web, visit joinsaturn.com.

About the Role:

As a founding data team member at Saturn, you will have outsized influence in steering the company’s direction and establishing data practices and infrastructure. We’re looking for seasoned and energetic broad-skilled data scientists who can range from impactful, opinionated business analysis to developing impactful data software.

Key Responsibilities and Expectations:

Ensuring partner teams are organized around the right operational metrics
Advancing the company through insightful analysis and research
Driving optimization through experimentation and machine learning
Contributing to data infrastructure and team best practices to increase velocity

Example Workstreams:

Evaluating which features and tactics are predictive of high schools' growth
Evaluating feature launches and usage
Developing a share/invite contact suggestions ranker
Developing our dbt model and automated reporting functionality
Optimizing ad spend

Candidate Qualifications:

3+ years of experience in data science, quantitative research, and/or analytics
Deep experience and second-nature fluency in: SQL, Python, Applied statistics and causal inference, and machine learning methods
Strong product and business sense and opinions
The ability to communicate complex ideas crisply
A team-first mentality and a leader and teacher to peers
An impatient bias for action

Saturn celebrates and embraces having a diverse team. We are committed to building a team that represents a variety of experiences, backgrounds, and skills. We do not discriminate on the basis of race, color, religion, marital status, age, gender identity, gender expression, sexual orientation, non-disqualifying physical or mental disability, national origin, veteran status, or other applicable legally protected characteristics.


Sr Data Scientist Marketplace And Merchandising

About the role
We are looking for a Sr. Data Scientist to work with our Content, Merchandising, and Product teams to optimize the content in our Sounds & Gear marketplaces. In this role, you will define metrics that track engagement and user-centric outcomes in our marketplaces. You will help us understand what content is most valuable to drive engagement. Working in close partnership with Product, Design, and User Research, you will use analytics to discover patterns of user behavior and leverage these discoveries to build more relevant and impactful experiences for our users.
All of this means balancing ad hoc data exploration and longer-running analytical projects; designing and conducting experiments; bridging the gap between Product Managers and Data Engineers to assure that the necessary data is accessible and easy to use; aiding in the design of Product roadmaps to support our marketplaces; and building models that drive in-product experiences—e.g., personalized merchandising.
What we're looking for:
Data manipulation
We expect our Data Scientists to have strong analytical SQL skills. This means fluidity constructing statements that rely on a combination of joins, aggregate functions, subqueries, and window functions. This role will work with large-scale data, so this person must have experience writing efficient, performance-optimized queries.
Analysis
Nearly every problem starts with models that can be interpreted to drive human action. We’re seeking an individual who enjoys experimentation and statistical analysis—someone who can translate what they see in the data into useful suggestions. A thorough understanding of statistical inference is required.
Modeling
You should have hands-on experience building machine learning models (supervised and unsupervised) and know how to incorporate your models into production workflows and product experiences.
Tooling expectations:

Regular usage of a programming language typically used for statistical analysis and machine learning (ideally Python). Familiarity with a statically typed language (ideally Java or Scala) is desirable.
Strong experience with analytical SQL (ideally BigQuery, Snowflake, AWS Athena, or similar).
Exposure to large-scale model training in a platform like Spark is desired.

Hands-on experience with self-service product-analytics tools (e.g., Looker, Mixpanel, Amplitude, Heap).

Training in statistics, econometrics, or machine learning, with plenty of real-world experience applying these methodologies.

Exposure to a variety of data sets used by Product teams. Chiefly, large-scale event data (e.g., Mixpanel, Segment, Snowplow, server logs) and normalized transactional databases (e.g., e-commerce and subscription datasets).

Additional:
There are no specific degree requirements for this role: we appreciate and seek out diverse backgrounds. Instead of any particular formal education requirement, we’ll flesh out what you’ve built, what you know, and how you approach problem solving.
As a company that serves musicians and producers, some knowledge of the music-production process is an asset. If this topic is new to you, that’s okay—you should be open to learning about it.
Equal Opportunity Employer:
Splice is an equal opportunity employer, committed to diversity and inclusion. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.


Data Scientist Product Analytics

Esteemed by over 1.5 million donors and 60,000 organizations, Givelify is a minority-owned FinTech-for-Good company on a quest to be the place where all giving happens, where good people come together to put more good into our world, leading with heart. In fact, Givelify’s mobile giving app consistently leads the App Store and Google Play in downloads, reviews and 5-star ratings amongst all giving apps.
If you are passionate about using data to inform business and product strategy or answering challenging questions that no one else in the world is tackling while driving philanthropy at scale, this is the job for you!
The Data Scientist will be embedded in our giving partner platforms teams and work cross-functionally to help drive experimental initiatives, leverage our understanding of givers behaviors and motivations to improve our fundraising products and grow generosity for our giving partners.
You’ll get to:
Use a deep understanding of data, our customers, and our unique industry to concretize ambiguous questions about our products and features into testable hypothesis that can be answered with data
Design experiments and interpret the results to draw detailed and impactful conclusions that drives product growth and feature adoption
Define how our teams measure product and features success by developing KPI and other business metrics in collaboration with products, engineering, and leadership
Develop data-informed business insights and work with cross-functional partners to find opportunities for product and business growth
Extracts data from various data sources; performs exploratory data analysis, cleanses, massages, and aggregates data
Provide technical contributions to ongoing initiatives to design and build a scalable and future-proof data infrastructure
Perform data informed customer segmentation to drive product marketing, feature development, business strategy
Complete data and analytic requests from giving partner teams
You should bring mad skills & experience:
Master’s or Ph.D. degree in Statistics, Data Science, Operations Research, Industrial Engineering, Mathematics, Machine Learning, Econometrics, or related field
Advanced experience in SQL and R or Python
Advanced experience with experimental design and statistical methods for causal inference.
Validated experience with data mining, experience with dashboarding/data visualization (e.g., Tableau)
Strong data storytelling: ability to distill interesting and hard-to-find insights into a compelling, concise data story
Willingness to get your hands dirty with messy data to find opportunities and uncover insights
Plus These Superpowers:
Flexible and resourceful in responding to changing demands and meeting deadlines.
Ability to communicate effectively and manage relationships with partners coming from both technical and non-technical backgrounds.
Technical leadership experience in a data/analytics team is a plus
Humble curiosity.
Customer Focus-Adopts a human-centric approach that meets or anticipates customers' need when developing solutions.
Effective Communication-Communicates frequently using clarity and appropriate methods/tools of communication.
Our People & Culture
We are a virtual team of high-performing professionals who innovate & collaborate to fulfill our mission to help people instantly find causes that inspire them to action so they can change the world – one simple, joyful gift at a time.  Our culture of integrity, heart, simplicity, & that “wow” factor fuel our aspiration to be recognized amongst the tech industry’s most inclusive & purpose-driven workplaces.
We take great pride in providing competitive pay, full benefits, amazing perks (including flexible PTO), and most importantly, the opportunity to put passion & purpose to work.


Data Scientist Finance

About us:
Live experiences help make us human, bringing us across today’s social and digital divides to focus on what truly connects us - the here, the now, the once-in-a-lifetime moment that we share - together. To fulfill Gametime’s vision to unite the world through shared experiences, we deliver fans an extraordinary experience for enjoying, discovering, and purchasing last-minute tickets to live events.

With platforms on iOS, Android, mobile web, and desktop supporting events across the US and Canada, we are reimagining the event ticket experience in a mobile-first world.

The Role:
We are looking for an organized, data-driven, and curious team player to work cross-functionally across the data, product, marketing, finance, and operations teams. As a data scientist, you will support and inform various functions throughout the company to solve business-critical issues, specifically related to our product, features, etc. You will dive into user behavior data to provide insights which will impact major business decisions and own the maintenance of Gametime’s business intelligence reporting. The ideal candidate will be able to thrive in a fast-paced environment and able to adapt to changes within the business and the industry.

What you'll do/own:

Provide insight into critical business decisions, working closely with the executive team to answer pressing issues
Analyze user behavior data and funnel metrics, generating recommendations for product and feature improvements
Maintain and improve Gametime’s business intelligence reporting infrastructure
Leverage analytics and quantitative methods to inform and influence decision-making
Influence and build relationships with people across all levels of the organization, internally and externally

Our ideal candidate has:

 1-3+ years of Data Analyst experience, ideally at a technology company
Proficient in SQL
Experience with A/B testing a plus
Ability to identify, analyze, and provide recommendations to complex business decisions
Solid understanding of statistical analysis and experimentation, and capacity to drive conclusions from the analysis
Ability to work across disparate data sources to obtain sensible results
Strong collaboration and communication skills
Experience analyzing user-centric products, preferably in the gaming or marketplace industries
Strong problem-solving skills
Some experience with Python or R
Experience with a data visualization software

What we can offer you:

Flexible PTO
Medical, dental, & vision insurance
Life insurance and disability benefits
401K, HSA, pre-tax savings programs
New equipment setup provided
Wellness programs
Tenure recognition

Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.


Senior Data Scientist Brand Growth

DESCRIPTION
Job summary**Location is virtual; anywhere in the US is fine. Rest of the team is in NYC and Seattle.**Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!We are seeking a entrepreneurial, innovative and self-driven Senior Data Scientist to join our team, and build a brand new Advertising product together from the ground up. Your mission will be to leverage science and technology to help hundreds of thousands of independent sellers grow their business on WW Amazon marketplaces building customer loyalty. You will generate actionable business insights to help connect brand owners with reviewers and potential shoppers on Amazon websites and video channels (IMDB, FireTV, Twitch, Amazon.com etc). You can change the life of local business owners while taking ownership to solve technical challenge from delivering millions of global advertising campaigns and generating brand insights through 100s of internal and external integrators with superfast response time. Brand Growth is part of Amazon Advertising’s Advertiser Control and Experimentation (ACE) org with opportunity to deliver social impact, own technical problems, thought diversity, and business impact.As a Senior Data Scientist on this team you will:
Lead Data Science solutions from beginning to end.Deliver with independence on challenging large-scale problems with complexity and ambiguity.Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data.Build Machine Learning and statistical models to solve specific business problems.Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.Analyze historical data to identify trends and support optimal decision making.Apply statistical and machine learning knowledge to specific business problems and data.Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.Build decision-making models and propose effective solutions for the business problems you define.Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.
Why you will love this opportunity: Amazon has invested heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.
Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.
Team video ~ https://youtu.be/zD_6Lzw8raE
BASIC QUALIFICATIONS
Bachelor's Degree5+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)4+ years working as a Data Scientist
Add to BQs:
Experience in as many of the following areas: causal inferencing, multi-variate testing & design, A/B testing & design, descriptive analytics, and regression analysis.Good understanding of supervised and unsupervised learning models.
PREFERRED QUALIFICATIONS
Advanced degree in Computer Science, Mathematics, Statistics, Economics, or related quantitative field.Broad knowledge of ML methods, statistical analysis, and problem-solving skills.Expert level knowledge in statistics and sophisticated user of statistical tools.Experience in data applications using large scale distributed systems (e.g. EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive).Experience processing, filtering, and presenting large data sets (hundreds of millions/billions of rows).Combination of deep technical skills and business sense, to interface with all levels and disciplines within our customer’s organization.Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.Excellent verbal and written communication skills with the ability to advocate technical solutions for science, engineering, and business audiences.Ability to develop experimental and analytical plans for data modeling, use effective baselines, and accurately determine cause-and-effect relations.Experience in computational advertising desired, but not required.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.


Senior Data Scientist Analytics And Data Management

DESCRIPTION
Job summaryAmazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.The Analytics and Data Management team for Performance advertising organization is looking for a Sr Applied Scientist to play a key role in building its next generation analytics tools and solutions that enables and grows Performance Advertising business. As a Senior Applied Scientist, you will:
Be a technical leader in Machine Learning and drive full life-cycle Machine Learning projects.Lead technical efforts within this team and across other teams.Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.Run A/B experiments, gather data, and perform statistical analysis.Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.Work closely with software engineers to assist in productionizing your ML models.Research new and innovative machine learning approaches.Recruit Applied Scientists to the team and mentor scientists on the team.
A day in the lifeYou will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.
BASIC QUALIFICATIONS
Bachelor's Degree5+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)4+ years working as a Data Scientist
PREFERRED QUALIFICATIONS
Advanced degree in Computer Science, Mathematics, Statistics, Economics, or related quantitative field.Broad knowledge of ML methods, statistical analysis, and problem-solving skills.Expert level knowledge in statistics and sophisticated user of statistical tools.Experience in data applications using large scale distributed systems (e.g. EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive).Experience processing, filtering, and presenting large data sets (hundreds of millions/billions of rows).Combination of deep technical skills and business sense, to interface with all levels and disciplines within our customer’s organization.Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.Excellent verbal and written communication skills with the ability to advocate technical solutions for science, engineering, and business audiences.Ability to develop experimental and analytical plans for data modeling, use effective baselines, and accurately determine cause-and-effect relations.Experience in computational advertising is a plus.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.


Senior Data Scientist Nlp Machine Learning

Coforma is looking for a Natural Language Processing (NLP) and Machine Learning (ML) focused Data Scientist to join our growing, distributed team.

The Data Scientist enjoys tackling complex problems while working with other members of our cross-disciplinary teams to deliver elegant solutions across a full, modern technology stack. If this is you, then you must be comfortable with evaluating and developing ML models, and explaining the impact and value of these models to non-expert stakeholders.

At Coforma, our technology teams are composed of engineers, designers, and product managers, and often participate in research activities to reduce friction and increase understanding and empathy. As such, your passion for articulating how to execute in the pursuit of doing what’s right is a feature, not a bug.

This role is specialized in developing, assessing, and iterating on natural language processing and machine learning models, in particular models for multi-label classification of free-form text. A successful candidate will be comfortable assessing existing trained ML classifiers for fitness and accuracy, and then either iterating on these models or developing replacement models better fit for critical people-facing processes. Your expert knowledge of NLP and ML classification systems will be applied to training the system on existing labeled samples, and validating model accuracy both before and after deployment. The system you help design, build, and train will operate at scale in real time.

Machine Learning based on natural language has many hazards including implicit bias and unintended discrimination. At Coforma, ethical use of AI is an important factor in our work. We value diversity, inclusivity, equality, and accessibility. The systems you design and build will consider and safeguard those values. A successful candidate will be able to discuss potential sources of discrimination in NLP and techniques to account for them.

Let’s build software that makes an impact, and let’s ensure the delivery of code that we can be proud to say we worked on together.

$128-148K Base Salary + Benefits + Growth Potential

What you’ll do

Collaborate with the product team, government/client stakeholders, and other contractors to build new systems and make improvements to existing systems
Design and spec out major functionality
Participate in planning, including breaking down requirements into tasks
Create AI/ML solutions supporting real-time inference and/or classification of critical free-form text
Work alongside AI/ML engineers in training, testing, and validating AI/ML solutions, establishing clear metrics to assess ongoing model accuracy
Safeguard against implicit bias and discrimination in your AI/ML designs

What you know

How to communicate complex technical concepts to non-technical audiences
Natural Language Processing techniques and tools
Writing clean, well-documented code for training and evaluating ML models
Designing and developing ML models for multi-label classification of natural language
Strong research and problem solving skills
Evaluating candidate approaches to analysis and extraction of free-form text

What you’ve done

4+ years experience developing and training NLP/ML models using common languages like Python and ML tools like TensorFlow or PyTorch
4+ years experience performing data analysis using tools like pandas, NumPy, Julia, or R
4+ years experience working with cross-functional teams to bring models into reality

Team & General Qualifications

Analytical – analytical skills and an ability to create systems

Planner – will anticipate what could go wrong when planning and coordinating, thoughtfully mitigating risks

Organized – will prioritize projects, complete tasks on time, and both document and share processes with others as needed

Cooperative – will work collaboratively with peers, top executives, and high-level contacts; cooperate with staff across different teams, departments, and expertise

Communicative – will communicate ideas and create personal relationships through writing and in-person exchange, customizing the delivery to the audience

Travel flexibility – will attend in-person meetings, workshops, trainings, and more on request and with advance notice as assigned to projects that require it (no more than 5-10%, with health and safety precautions being paramount)

Calm and nimble – will navigate a fast-paced environment and ambiguity, changing priorities, and unexpected project challenges

Autonomy – will to get work done fairly self-directed, requiring minimal supervision or direction from others

Continual learner – is committed to ongoing learning and knowledge sharing

Brand representative – will represent Coforma professionally and sincerely, modeling the company values to be and help others be collaborative, accessible, empowered, informed, ethical and responsible, values-driven, and transparent for the sake of accountability and community

Other

Internet – will prioritize and maintain access to strong, reliable internet for the remote nature of our work (except when on vacation/holiday)

Security – will keep the highest security practices to ensure privacy and security of Coforma and client information given the nature of our work (even when on vacation)
Must be legally authorized to work in the US now and in the future without sponsorship

Preferred Qualifications

Prior professional services, government, or federal consulting experience
Experience working on a remote team or remote freelancing
The ideal applicant will be comfortable in a fast-paced environment, flexible, innovative, and attentive to detail
Operational knowledge of the software development lifecycle
Experience in MLOps and deploying real-time models to critical production environments
Hands-on experience with AWS and/or Azure a plus
Passion for ethical use of AI
Experience with healthcare industry and terminology

We Don’t Care About

Whether or not you have a degree of any kind
Whether your educational major, if you had one, is related to this role
Whether or not you have GitHub contributions
Whether or not you have worked at a well-recognized company

We Do Care About

Your passions — professional or otherwise
Your well-informed opinions about technology, teams, and process
You

The annual salary range for this position is $128,000 – $148,000.

We participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

This role is required to work from the contiguous United States.

We're Coforma

The stress of job searching can make you wonder if you’re enough. Studies have even shown that women and people of color are less likely to apply to jobs when they don’t meet every qualification. We believe that you ARE enough–and that it’s okay not to meet every requirement. We’re building a culture that’s authentic, inclusive, and diverse. If you’re excited to work with us but not sure you check every box, apply anyway! You may be just right for this or another role.

About Us
We use creativity to get results for clients and the communities they serve.

We’ve honed a modern, agile, user-centered approach that elevates human needs through thoughtfully-designed systems and products.

From connecting families in crisis at the US border to improving the way governments consume COVID-19 mobility data through a more accessible and user-friendly tool, we’re dedicated to improving people’s lives through thoughtful technology products and services. Together. Our cross-functional team works closely with each other and with our government, nonprofit, and commercial partners to research, design, and build better products and services.

Coforma employs over 90 talented creators. Our leadership has decades of experience in improving government digital services from a civic service mindset, and a strong record of developing innovative technology solutions for government, enterprise, and nonprofits.

We thoughtfully integrate design into product development. We are experts in leading the design and development of products to meet business goals, build alignment, and deliver value through technically feasible and iterative design activities.

Business objectives and human beings are at the center of our work. We work very closely and collaboratively with our partners, from solicitation through to delivery, to ensure that the solution provides a high level of value to the business. Accessibility is never overlooked in our work, and our iterative approach validates the utility and delight of the final product.

Equal Opportunity & Inclusive Workplace
Coforma is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, national origin, sexual orientation, gender identity or expression, religion, age, pregnancy, disability, work-related injury, covered veteran status, political ideology, marital status, or any other factor that the law protects from employment discrimination. As a federal government contractor, all employees of Coforma are required to be fully vaccinated against COVID-19 by January 4, 2022. Background checks and other security clearances may be required for some roles as it relates to the nature of our client work.

Our team and our office aims to be an accessible and hospitable place to work. We welcome applicants, contractors, and employees who are committed to improving our culture and practices.


Senior Nlp Data Scientist

An NLP Data Scientist at Lightcast works with the Product, Data, and Classifiers & Extractors teams to produce state-of-the-art models and enriched datasets that address our customers’ most pressing problems about the future of work. This is a senior, tech leadership role and will have a strong emphasis on mentoring the team and leading the team to deliver state-of-the-art document understanding capabilities. A successful candidate will have a strong knowledge of current NLP capabilities and a track record of delivering NLP capabilities at scale.

Responsibilities:

Work cross-functionally to define problem statements, collect data, build models, and make recommendations to stakeholders and technical leaders.
Keep abreast of advancements in the field and deliver state-of-the-art solutions.
Lead efforts to expand, augment, and enhance labeled datasets.
Work closely with Classifiers and Extractors Dev team and Data Engineering team to integrate models and deliver to production environments.
Spearhead model development for new and existing classifiers and extractors that process billions of documents at a time.
Champion the incorporation of new tools/methods/techniques.
Work with and manage very large (and messy) data sets; build ML pipelines that scale to work with this data effectively. Experience working with and designing continuous machine learning pipelines is required.
Manage large and/or complex projects to completion. Make business/technology trade-offs when appropriate.
Mentor a team of NLP data scientists and machine learning engineers with varying levels of experience.
Contribute to positive team culture by participating in team-building activities and being a supportive and empathetic colleague.

Knowledge, Skills, Abilities:

Proven expertise building NLP models with deep learning as well as traditional methods.
Awareness of and experience with current state-of-the-art language modeling architectures.
Experience with self-supervised and semi-supervised learning.
Proficiency with Python. Proficiency in the C programming language or similar (D, C++) a plus.
Experience delivering accurate, robust, and performant NLP capabilities at scale.

Credentials & Experience:

MS/PhD in Computational Linguistics, Engineering Mathematics, Statistics, Physics, Operations Research, or related field
5+ years of industry experience solving analytical problems and building models using quantitative, statistical or machine learning approaches.
Strong experience with current NLP capabilities and delivering NLP capabilities at scale.

Lightcast is proud to be an equal opportunity workplace and is 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. Lightcast has always been, and always will be, committed to diversity, equity, and inclusion. We seek dynamic professionals from all backgrounds to join our team, and we encourage our employees to bring their authentic, original, and best selves to work.

#LI-Remote