Decision Scientist, Marketing Program Analytics Job at T-Mobile (Bellevue)

Senior Data Scientist, Marketing

We’re hiring a Senior Marketing Data Scientist to partner closely with Harvey’s ...

Location

United States , San Francisco

Salary:

170000.00 - 200000.00 USD / Year

Harvey

Expiration Date

Until further notice

Requirements

6+ years of experience in quantitative roles operating in highly ambiguous environments, ideally as an early data scientist or Marketing analyst within a hyper-growth product company or research organization
Expertise in SQL, with extensive experience extracting large datasets and designing ETL workflows
Expertise working with Salesforce, Marketo and Ads spent data
Strong experience with modern data stack, such as DBT, Looker and Omni
Proficiency in quantitative programming languages, such as Python and R
Experience defining, implementing, and operationalizing Marketing campaign- and channel-level metrics from the ground up
Strong communication skills, with the ability to effectively partner with leaders across Marketing, GTM and Finance
Strategic mindset capable of generating insights that extend beyond traditional statistical significance testing to inform long-term product and business direction

Job Responsibility

Embed deeply with the Marketing organization as a trusted partner, identifying opportunities to improve performance and drive growth
Define, track, and evolve core metrics across marketing and business functions, building scalable dashboards and reporting frameworks that enable data-driven decision-making
Design, implement, and evaluate models (multi-touch attribution, marketing mix modeling, incrementality) for comprehensive Marketing Channel and Campaign performance and contribution
Apply statistical and machine learning techniques to model user behavior, forecast trends, and identify opportunities for growth and optimization
Translate complex analyses into compelling stories, delivering clear recommendations to cross-functional partners and executives
Partner with Marketing, RevOps and GTM System, to co-develop data infrastructure, ensuring robust pipelines, reliable data sources, and scalable systems that power analytics and modeling
Lead cross-functional analytics initiatives that synthesize competitive dynamics, customer feedback, and market trends into actionable opportunities for the business
Champion a data-informed culture by establishing best practices, mentoring peers, and shaping the strategic role of data science at Harvey

What we offer

Offers Equity
Offers Bonus
Comprehensive health, dental and vision coverage
retirement benefits (401k match up to 4%)
flexible PTO

Fulltime

Observational Research Director

We are currently hiring for an Observational Research Director to support the ob...

Location

United States

Salary:

187271.15 - 253366.85 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Doctorate degree and 4 years of scientific experience
Master's degree and 8 years of scientific experience
Bachelor's degree and 10 years of scientific experience
Doctorate in Epidemiology or other subject with high observational research content
Experience in the design, execution, and analysis of observational research studies within Pharmaceutical or Public Health setting
Experience in research to support drug development
Experience in observational research project planning and management
Excellent verbal and writing communication and interpersonal skills
Experience working in multi-disciplinary teams

Job Responsibility

Lead a team of epidemiologists to conceptualize, design, conduct, analyze, interpret and publish observational research supporting drug development programs and regulatory submissions, investigating post-marketing safety and effectiveness
Effectively lead, develop, and mentor a team of scientists
Be the technical expert in a cross-functional team to: identify evidence needs
develop the RWE plan to support the product development and commercialization strategy
and develop, maintain and expand a portfolio of observational research activities to support these strategies
Design and execute studies to support evidence generation such as identifying appropriate patient populations, assessing disease burden and resource utilization, obtaining product registrations and label-expansions, meeting post-marketing requirements/commitments, and product differentiation
Find opportunities to substitute for and/or complement interventional studies to reduce time and cost of drug development
Influence cross-functional team members as to the appropriate use and timing of non-interventional research to answer high-priority strategic business questions
Leverage real-world data and CfOR analytic approaches to inform high-value business decisions for multiple stakeholders
Track business and functional priorities and align resources against those priorities

What we offer

Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans and bi-annual company-wide shutdowns
Flexible work models, including remote work arrangements, where possible

Fulltime

Principal Data Scientists

Principal Data Scientists located in Bellevue, WA will implement and maintain mo...

Location

United States , Bellevue

Salary:

196914.00 - 224000.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Master’s degree in Applied Economics, Economics, Mathematics, Operations Research, Statistics, Finance, or related, or its foreign equivalent and 5 years of relevant work experience
Bachelor’s degree in Applied Economics, Economics, Mathematics, Operations Research, Statistics, Finance, or related, or its foreign equivalent and 7 years of relevant work experience
At least 18 years of age
Legally authorized to work in the United States
Using SQL and Python or other statistical/analytical programming languages to manipulate large amounts of data, extract key insights from the data, and then clearly and concisely communicate actionable recommendations based upon insight
Working independently to identify new segmentation opportunities using statistical methods including decision tree, clustering, leading to enhancements to decision process and policies
Developing predictive analytical models using the appropriate statistical methodologies, including logistics regression, experimental design, and hypothesis testing
Extracting, loading, and transforming data from multiple sources necessary for statistical, reporting and ad-hoc analysis
Building complex machine learning algorithms with automated model parameter tuning
Working with a cloud computing environment including Azure Databricks and AWS

Job Responsibility

Implement and maintain modeling pipelines in Python, ensuring statistical accuracy and version control in collaboration with data engineering teams
Communicate complex findings clearly to technical and non-technical stakeholders through presentations, documentation, and data visualizations that support decision-making
Stay current with advances in forecasting, attribution modeling, and statistical methods by engaging in professional development and applied learning
Design, lead and innovate the development of advanced statistical and machine learning models to forecast business outcomes such as service activations, digital and retail traffic, and related KPIs
Contribute to the design, innovation and refinement of media attribution models including Marketing Mix Modeling and Multi-Touch Attribution to evaluate marketing effectiveness and align attribution insights with forecasting strategies
Guide the development and deployment of scalable modeling pipelines in Python, providing oversight to ensure reproducibility, rigor, and operational readiness
Mentor and review the work of junior data scientists providing methodological direction, feedback, and quality control
Collaborate cross-functionally with marketing, analytics, and data engineering teams to ensure that forecasting and attribution outputs meet business needs and are integrated into decision-making processes

What we offer

Annual stock grant
Employee stock purchase plan
401(k)
Access to free, year-round money coaches
Annual bonus or periodic sales incentive or bonus
Medical, dental and vision insurance
Flexible spending account
Paid time off and up to 12 paid holidays
Paid parental and family leave
Family building benefits

Fulltime

Staff Scientist - Reservations

The Reservations data science team owns the experience and algorithms powering t...

Location

United States , Seattle

Salary:

216000.00 - 240000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Mathemathics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
6+ years of industry experience as an Applied or Data Scientist or equivalent.
Proficiency in programming languages (Python, Java, Scala) and ML frameworks (TensorFlow, PyTorch, Scikit-Learn), underpinned by a solid grasp of MLOps practices, including design documentation, testing, and source code management with Git.
Agile project management capabilities, adept at using tools like JIRA, and a driven problem-solver with a passion for impacting the retail sector at scale.
Advanced skills in the development and deployment of large-scale ML models
Experience in experimental design and analysis (e.g., A/B and market-level experiments), causal inference.
Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
Strong experience in causal inference, optimization, and machine learning.
Experience in algorithm development and prototyping. Particularly in Pricing domain.
Ability to drive clarity on the best modeling or analytic solution for a business objective

Job Responsibility

Deploy a wide variety of methodologies, including causal inference techniques, funnel analyses, and econometric modeling to identify our largest business opportunities.
Work together with Product, Operations, and Engineering partners to design a roadmap of features and initiatives as well as the long-term team strategy.
Run large scale experiments to validate the impact of new features.
Present findings to business and executive audiences

What we offer

Bonus program
Equity award
401(k) plan

Fulltime

Data Scientists - Finance

Data Scientists – Finance located in Bellevue, WA will prepare monthly and quart...

Location

United States , Bellevue

Salary:

129709.00 - 151800.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Applying statistical and mathematical methodologies including Linear Regression, Logistic Regression, Decision Tree, Cluster Analysis, and Hypothesis Testing to perform segmentation, prediction, forecast, and exploratory analysis
Extracting, integrating, and processing large-scale structured and unstructured datasets from multiple enterprise data warehouses and transactional databases using advanced SQL, Python and SAS. Performing data integrity checks to ensure completeness and accuracy under SOX compliance framework
Building and refining financial models to estimate the ASC 820 or IFRS 13 fair value of various assets and liabilities using US GAAP and IFRS compliant approaches by synthesizing data from internal systems, third-party market data, and historical financial performance
Performing fair value estimates of assets and liabilities using IFRS 13, IFRS 15, ASC460, ASC 606, ASC820, and ASC 805
Interpreting and translating the results of statistical and mathematical methodologies including Linear Regression, Logistic Regression, Decision Tree, Cluster Analysis, and Hypothesis Testing and accounting fair value estimates using ASC 460, ASC 606, ASC 820, and ASC 805 prepared by the data scientist into actionable insights for accounting leadership
Master’s degree in Measurement and Statistics, Applied Statistics, Financial Engineering, or related, and 1 year of relevant work experience. OR Bachelor’s degree in Measurement and Statistics, Applied Statistics, Financial Engineering, or related, and 3 years of relevant work experience
At least 18 years of age
Legally authorized to work in the United States

Job Responsibility

Operate the model, coordinate with stake holders, and run a process to estimate the liability associated with the Jump Program
Update the Jump liability program to increase efficiency for various stakeholders
Provide adhoc analytics on various valuations
Perform data analytics and statistical analysis to support forecast of device values
Provide data analytics and statistical analysis to support the estimate of the Apple Forever Liability
Work with various stakeholders to prepare a model to forecast credit losses on T-Mobile service contracts
Understand key data architecture and changes to the company to provide insights to various stakeholders with respect to data and valuation estimates

What we offer

Competitive base salary and compensation package
Annual stock grant
Employee stock purchase plan
401(k)
Free, year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Paid time off
Up to 12 paid holidays
Paid parental and family leave

Fulltime

Data Scientist

Love Data and want to support a growing eCommerce business to turn data into pow...

Location

United Kingdom , Oakham

Salary:

Not provided

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Proven experience in Data Science, Advanced Analytics or similar role
Experience applying data science in a commercial setting (e.g. retail, eCommerce, marketing)
Proven ability to deliver measurable business impact from data
Strong programming skills (Python / R)
SQL and experience working with large, complex datasets
Solid understanding of: Statistical modelling
Machine learning techniques
Experimental design and testing
Experience with cloud/data platforms or scalable pipelines
Strong problem-solving and analytical thinking

Job Responsibility

Develop predictive models (e.g. customer lifetime value, propensity, response modelling)
Apply segmentation and clustering techniques to refine customer targeting
Build attribution and measurement frameworks for marketing activity
Support pricing and promotional optimisation through quantitative analysis
Design and build reusable data science products and pipelines
Support automation of reporting and decision-making tools
Work with engineering and IT teams to scale solutions within our analytics ecosystem
Translate complex outputs into clear, compelling recommendations
Partner with stakeholders across Marketing, Trading and Digital teams
Drive measurable improvements in customer engagement, revenue and profitability

What we offer

Hybrid Working Model
Subsidised Restaurant
Free access to a local Gym & Swimming Pool
50% Employee Discount
Cash Health Scheme
Free Annual Eye test
Employer pension contribution up to 5%
Free on-site parking

Fulltime

Senior Analyst Advanced Analytics

We are looking for a Senior Analyst, Advanced Analytics role to help Airbnb unlo...

Location

United States

Salary:

136000.00 - 160000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

5+ years in industry experience and a degree in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research)
Expert communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment
Ability to conduct rigorous statistical analysis to inform business decision and communicate conclusions to both technical and non-technical audiences
Experience partnering with internal teams to drive action and providing expertise and direction on analytics, experimental design, and measurement
Experience designing and building metrics, from conception to building prototypes with data pipelines
Strong knowledge in SQL and distributed system optimization (e.g. Spark, Presto, Hive)
Expert in at least one programming language for data analysis (e.g. Python, R)
Experience with Tableau strongly preferred

Job Responsibility

Data thought partner to product and business leaders, providing insights, recommendations, and enabling data-driven decisions
Contribute towards advancing the Analytics and Data Science disciplines at Airbnb, including driving data best practices, building new data tools and data sets, expanding data education around the company and mentoring and developing other team members
Drive day to day analytics and create scalable data tools
Architect, build, and launch efficient & reliable new data models and pipelines in partnership with Data Engineering
Design, define, and implement metrics and dimensions to enable analysis
Continue to enhance our understanding and measurement of the tools used by our partners, with a focus on driving higher host activation within partner buildings
Work closely with Data Engineers, Analytics Engineers, Data Scientists and other cross functional teams to build a scalable and unified attribution and measurement platform for understanding impact of product, sales and marketing efforts
Collaborate closely with Business Leads to design, implement, and assess offline experiments, including A/B tests and other quasi-experimental techniques
Empower the team to answer data questions quickly and easily by building high-quality ground truth data sets and dashboards
Collaborate with Data Engineering to build data tools for mass consumptions within the A4RE team

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Sr. Product Manager - Technical

The VAS Core Mobility team is looking for a strategic and execution-focused Seni...

Location

United States , Bellevue

Salary:

130900.00 - 236200.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree plus 7 years of related work experience OR Advanced degree with 5 years of related experience
7+ years of relevant Product Management experience in an agile software product development environment
Advanced level understanding of customer experience
Product Lifecycle Management Experience in delivering large and complex business/technology initiatives
Communication Proven ability to effectively and efficiently communicate with Leadership, while employing a high degree of collaboration and influence
Agile Proven success in directing matrixed resources and delivering software, with Agile Scrum methodologies and other commonly used tools, across multiple teams
SCRUM Proven success in directing matrixed resources and delivering software, with Agile Scrum methodologies and other commonly used tools, across multiple teams
Agile Project Management Experience with Agile backlog/project management tools
Technical Writing Strong requirements elicitation, and proven writing skills including the ability to write concisely and clearly for different audiences
Business Analytics Strong analytical skills with demonstrated ability to identify/analyze/synthesize product use data and use the data to drive decisions

Job Responsibility

Owns product end to end for complex or cross-platform solutions for products of the highest level of complexity and scope, or family of products. This includes creating, managing, maintaining and communicating product vision and roadmap
Identifies target customer(s) for existing or future products, and designs and drives end user product research
Partners with business, internal/external stakeholders and Leadership to understand current customer experiences, identifies areas of opportunity
Conducts analysis of quantitative and qualitative data to identify product innovation opportunities or root cause of issues, and assess opportunity size and impact. May work with data scientists to answer complex questions or identify meaningful insights from data
Leverages rapid hypothesis driven testing methodologies and experiments (i.e. paper prototype, A/B testing, etc.) to inform direction, prioritize investment
Conducts cost-benefit / ROI / NPV analysis, competitive product analysis, to support decision making
Works with stakeholders and follows enterprise process to secure and maintain product funding
Anticipates industry trends, direction, innovation, analyses potential impacts or opportunities to customer / product, and incorporates analyses into product process
Communicates, influences, and sells ideas at VP level and below. This includes regularly delivering product presentations
Drives specific ad hoc analysis and presents information to executive level management on request

What we offer

Medical, dental and vision insurance
flexible spending account
401(k)
employee stock grants
employee stock purchase plan
paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually
paid parental and family leave
family building benefits
back-up care
enhanced family support

Fulltime

Select Country

Decision Scientist, Marketing Program Analytics

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

Looking for more opportunities?