Senior Data Scientist, Growth Analytics Job at Airwallex (San Francisco)

Senior Data Scientist – Audience Data Product

We are looking for a Senior Data Scientist – Audience Data Product to join our G...

Location

United States , Bethesda, MD

Salary:

52.06 - 82.45 USD / Hour

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

4-year degree from an accredited university in Data Analytics, Computer Science, Engineering, Information Systems, or a similar quantitative discipline, with 4+ years of experience demonstrating progressive career growth and a history of exceptional performance in data science or analytics OR 2+ years of experience in data science or analytics with a Master's degree
Proven experience in building and optimizing audience segmentation and lookalike models for targeted advertising using data science techniques, including clustering, classification, and predictive modeling
Strong experience with writing AI/ML models in Python, Spark or SQL, and familiarity with cloud data warehouses (e.g., Snowflake, AWS) for data processing and model deployment
Demonstrated ability to use data science methodologies (e.g., machine learning, statistical modeling) to analyze and optimize large-scale datasets for audience targeting
Ability to collaborate cross-functionally with marketing, digital, and technology teams to align on broader data strategies and contribute insights to media optimization and performance measurement

Job Responsibility

Design and develop audience segmentation and various lookalike models to optimize targeting across owned & paid channels
Work with cross-functional teams to collect, analyze, and optimize media exposure data for continuous media optimization and audience measurement
Collaborate closely with teams from marketing, digital, and technology to evolve the media data ecosystem, leveraging advanced tools such as cloud data warehouses (Snowflake), data cleanrooms, and customer data platforms (CDPs)
Develop and implement segmentation and modeling strategies
Collaborate with marketing and analytics teams to design and build segmentation models and lookalike models for optimized targeting across paid media channels
Work with the AdTech and IT teams to ensure effective integration and deployment of data infrastructure that supports segmentation and audience activation efforts
Align segmentation models and tactics with the broader organizational data strategy to ensure consistency with long-term business goals and objectives
Collaborate closely with marketing and analytics teams to define key performance indicators (KPIs) and data requirements for optimizing segmentation strategies, improving campaign targeting, and driving ROI
Collaborate with technical teams and vendors (e.g., AWS, Snowflake) to build and enhance infrastructure that supports data-driven segmentation, model development, and performance measurement
Identify and work on improving processes that enhance data quality and reduce manual interventions in segmentation model development and activation workflows

What we offer

Coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave, 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts

Fulltime

Senior Data Scientist - Workforce Analytics

As a Senior Data Scientist on our Team, you will partner closely with key busine...

Location

United States , San Francisco

Salary:

145300.00 - 233400.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

5+ years of experience working with data
BS degree in Statistics, Mathematics, Economics, Computer Science or other quantitative field
experience in building business impacting analytic solutions
experience using data to influence operational teams
track record of successfully driving analytic initiatives
ability to bridge the gap between business problem and data
strong communication skills (non-technical) and core tech skills
ability to learn new things quickly
ability to take an ambiguous assignment and move rapidly to deliver iterative value
ability to mentor / grow less experienced analysts

Job Responsibility

Work with a strong group of data scientists to advance core data artifacts
develop strong collaborative partnerships with business and operations leaders
provide technical expertise in data visualization, deep business acumen, stakeholder engagement and operational insights via analysis
work with a cross functional team to drive improvement and efficiency
use compelling data, deep business acumen and exceptional communication to drive business strategy and execution
address business challenges, performance bottlenecks and growth opportunities with analytic solutions
propose rapid experiments or A/B tests to assess the effect of new strategies or initiatives
play the role of analytic visualization expert in cross functional teams

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Senior Data Scientist, Product Growth

Khan Academy is looking for a senior data scientist to play a critical role in o...

Location

United States , Mountain View

Salary:

137871.00 - 155105.00 USD / Year

Khan Academy

Expiration Date

Until further notice

Requirements

Motivated by the Khan Academy mission “to provide a free world-class education for anyone, anywhere.”
Proven cross-cultural competency skills demonstrating self-awareness, awareness of other, and the ability to adopt inclusive perspectives, attitudes, and behaviors to drive inclusion and belonging throughout the organization.
Background in applied math, statistics, economics, or a related technical field
5+ years of experience in data science or analytics
Proficient with statistical techniques (i.e., multiple regression, causal inference, AB testing, hypothesis testing) for real-world applications
Advanced SQL foundations & ability to manipulate data using R or Python
Compelling data storytelling and visualization (i.e. Looker) with the ability to communicate effectively with non-technical stakeholders
Strong business intuition & judgment, with a knack for asking the right questions to drive impact

Job Responsibility

Partner with product teams to understand and help develop theories of action which describe testable hypotheses for the impact of new features
Identify and measure success of initiatives through goal setting, forecasting, event instrumentation, monitoring, and ongoing analysis of core outcome metrics
Perform exploratory analyses on our rich datasets to extract insights about our teacher & learner behavior and guide our decisions around product roadmap and investments
Use your expertise with statistical techniques to quantify the impact of various features, programs, and interventions
Share results of analyses to non-technical audiences in ways that help them develop insights about our offerings
Contribute to the development of self-service analytics tools to enhance data access for the product team
work with our engineering teams to improve our tools and datasets

What we offer

Competitive salaries
Ample paid time off as needed
8 pre-scheduled Wellness Days in 2026 occurring on a Monday or a Friday for a 3-day weekend boost
Remote-first culture - that caters to your time zone, with open flexibility as needed, at times
Generous parental leave
An exceptional team that trusts you and gives you the freedom to do your best
The chance to put your talents towards a deeply meaningful mission and the opportunity to work on high-impact products that are already defining the future of education
Opportunities to connect through affinity, ally, and social groups
401(k) + 4% matching & comprehensive insurance, including medical, dental, vision, and life

Fulltime

Senior Data Scientist in Marketing Analytics

Join Ekimetrics, a leading data science and AI solutions provider, as a Senior D...

Location

United States , New York

Salary:

110000.00 USD / Year

Assessfirst

Expiration Date

Until further notice

Requirements

Bachelor or Master's degree in a quantitative discipline (statistics, applied mathematics, computer science, economics, operations research, business/MBA) from a leading academic institution
3+ years of experience in Data Analysis / Modeling / Advanced Analytics / Econometrics in a business setting, preferably in a client-facing consulting-oriented role
Passion for data, extensive knowledge of statistics or applied mathematics, experience using advanced analytical methodologies (e.g., regression analysis)
Digital and Marketing strategy curiosity
Experience with statistical software such as Python, R
Strong knowledge of marketing and media strategy, and the key questions for the modern CMO
Excellent communication skills – especially translating complex technical findings into plain language insights
Demonstrated ability to develop new and lasting client relationships across multiple industries
Team oriented and collaborative working style
Management experience and demonstrated ability to develop talent and build a high performing team

Job Responsibility

Design and scope new projects, ensuring the right analyses are applied to client questions and that the business case is achievable
Lead project teams, ensuring the delivery of highly valuable, effective data science solutions that meet client needs, and driving high client value
Support the development of junior colleagues, actively engaging in transversal topics such as thought leadership, innovation streams, knowledge management, and recruitment
Gather and analyze data, build statistical models, and translate quantitative insights into actionable strategic recommendations
Deliver results as a persuasive story
Support client retention and new business opportunities
Contribute to the development of junior consultants through knowledge sharing and mentorship
Help lead our fast growth by contributing to local and global initiatives such as Thought-Leadership, Knowledge Management, Recruitment, Culture, Gender Balance and Diversity teams, Pioneering Machine Learning/AI techniques

What we offer

Medical insurance, dental, and vision
Emphasis on work-life-balance and 20 PTO days per year and holidays
Dynamic environment with a strong culture and great office in FiDi
Close-knit team with friendly environment, bi-monthly team events
Creative and entrepreneurial start-up environment with strong promotion opportunities
Best-in-class methodologies and cutting-edge technologies in marketing analytics
Unique internal training package with 70+ sessions in our Eki.Academy digital platform
Client exposure up to the executive level in different industries and countries
Opportunities for international mobility across our three other offices in Paris, London, Hong Kong and Shanghai
Generous bonus package

Fulltime