We are looking for an inquisitive, life long learner with a keen interest on evidence driven decision making, e-commerce and digital businesses and understanding of customer behavior.
We are seeking a researcher with interest in e-commerce industry and relevant experience to leverage and help evolve our off-site marketing experimentation frameworks.
Our candidate will have strong causal inference, experimental design, decision theory and bayesian statistics background.
This is a role to flesh out a nascent new program that aspires to be the beacon for the industry. So this is genuinely a unique opportunity for candidates to emerge as world class experts in a fast evolving, ever green domain.
Our mission is to engage customers with the right products and services to enable a great shopping experience. You will go home and show your family and friends why they receive this ad on search or social channels or that email from Amazon.
You will make a difference by improving the relevancy for customers and optimizing the investment level for Amazon. Cutting edge technology and algorithms including econometric methods, statistical modeling, machine learning, and data mining are the core of our business.
Marketing drives a large portion of Amazon’s traffic and business, and represents a unique opportunity to drive impact on the company’s bottom line.
We also focus on developing novel A / B experimentation mechanisms to measure efficacy of our ML solutions. With essentially full ownership of our own product roadmap, there is a large R&D component to our work with together with sound business understanding and an appetite for innovation are highly valued.
Key job responsibilities
- Design and build scalable analytic solutions using statistical models to measure the business impact of cross channel marketing treatments.
- Work closely with both business units and engineering teams to formulate business problems in experimental designs and associated technical solution strategies.
- Develop a library of measurement solutions to enable data-driven decision making.
- Provide inputs to the product roadmap, emphasizing research and development (R&D) to continuously enhance bidding capabilities.
- Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts.
A day in the life
As a Senior Research Scientist on our team, you will leverage you strong background in statistics and causal inference to help build the next generation of off-site marketing experimentation frameworks.
This role requires a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written explanations.
The ideal candidate will have experience with causal inference, experimental design, decision theory and bayesian statistics.
We are particularly interested in experience in building large scale marketing experimentation frameworks.
About the team
We are a team of scientists who are set to build solutions in production. We work on prediction, optimization, and experimentation problems to provide data-driven inputs to marketing decisions and build highly scalable statistical frameworks and machine learning models across Automated Marketing and Events (AME) org to drive long-term profitability.
Specifically, the team focuses on building re-usable science solutions to address three focal areas : (i) Content selection, creation and moderation, (ii) Bidding which involves valuation, efficiency management and net-profit maximization via elasticity measurement, and (iii) Scalable Experimentation frameworks and statistical techniques for designing and performing causal analysis.
efficiency management and net-profit maximization via elasticity measurement, and (iii) Scalable Experimentation frameworks and statistical techniques for designing and performing causal analysis.
BASIC QUALIFICATIONS
- PhD, or Master's degree and 6+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience
- Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Knowledge of R or Python
- Advanced proficiency with statistical modeling, experimental design, and machine learning algorithms.
- Ability to research, identify, evaluate, and implement modeling solutions for complex business problems.
- Communicating scientific research and trade-offs for long- and short-term objectives to stakeholders from senior business leaders to highly technical engineering teams.
PREFERRED QUALIFICATIONS
- Experience converting research studies into tangible real-world changes
- Experience with discrete and continuous optimization methodologies and algorithms
Senior/Staff Machine Learning Research Scientist Generative AI
Scale's Generative AI ML team conducts research on models, supervision, and algorithms that advance frontier models for Scale's applied-ML teams and the broader AI community. You'll be creating high quality datasets, implementing models and associated training and evaluation stacks, producing high c...
Senior Integrated Marketing and Content Strategy Lead
In the GDC, we lead digital-first sales motions, customer engagement marketing at scale, campaigns to celebrate launches, events to strengthen customer connection and product understanding, plus relationship marketing designed to onboard, and deepen brand love. Develops and oversees implementation o...
Evaluation and Research Specialist/Senior Specialist
Support (Specialist) or lead (Senior Specialist) the development of resources and tools that provide evidence-based guidance to IRI program staff and the DRG community for purposes of designing, implementing, and evaluating programs and work to drive uptake and engagement with/utilization of such to...
Senior Product Marketing Manager - Data & AI Governance
In close partnership with product management, alliances, sales, user research and marketing teams, you will lead full-funnel product marketing and go-to-market for high-profile governance product releases and campaigns. Snowflake is growing fast and we’re looking for an experienced, self-motivated a...
Senior Digital and Field Marketing Specialist
Work with local sales teams and your marketing peers to create an annual marketing strategy and develop locally-relevant marketing campaigns that attract new and engage existing travel agents and travel agency managers. You are a well-practiced at creating and executing impactful marketing plans tha...
Senior Product Marketing Manager - Data & AI Governance
In close partnership with product management, alliances, sales, user research and marketing teams, you will lead full-funnel product marketing and go-to-market for high-profile governance product releases and campaigns. Snowflake is growing fast and we're looking for an experienced, self-motivated a...
Sr. Data Scientist, FireTV Business & Marketing
The Amazon Fire TV Team is looking for a passionate and solution oriented Data Scientist to help redefine and build new, science-driven experiences for customers enjoying Fire TV across the world. You will need to be entrepreneurial, wear many hats, and work in a highly collaborative environment acr...
Senior Research Scientist (Remote)
Research Scientist, you will investigate the research approach, assess the implementation risk and define the success metrics for multiple AI/ML projects while collaborating with other research scientists and machine learning engineers. Comfort communicating and interacting with scientists, engineer...
Senior Project Manager, Marketing & Communications
Collaborate with marketing, design and UX, and content directors to plan and help manage major web, user experience, content and multimedia projects, including determining required support resources; assisting with sprint/campaign planning, communication and design; and tracking progress against mil...
Senior Applied Scientist , Search Science and AI - Search M5
We are looking for exceptional scientists and ML engineers who are passionate about innovation and impact, and want to work in a team with a startup culture within a larger organization. Can a focus on compilers and custom hardware help us accelerate model training and reduce hardware costs?. Set sc...