DESCRIPTION

At Amazon, we're working to be the Earth’s most customer-centric company. The goal of JP Last Mile Technology Team is to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon is continually striving to innovate and provide best in class delivery experience through the introduction of pioneering new products and services in the last mile delivery space.

JP Last Mile Technology Team is seeking a Senior Data Scientist to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems, helping last mile space, based in Tokyo, Japan.
The Senior Data Scientist will work closely with other research scientists, machine learning experts, and economists worldwide, to design and run experiments, research new algorithms, and find new ways to improve last mile analytics to optimize the Customer experience. The Scientist will partner with technology and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers. Science at Amazon is a highly experimental activity, although theoretical analysis and innovation are also welcome. Our scientists work closely with software engineers to put algorithms into practice. They also work on cross-disciplinary efforts with other scientists within Amazon worldwide.

The key strategic objectives for this role include:
· Understanding drivers, impacts, and key influences on last mile delivery dynamics.
· Drive actions at scale to provide low prices and increased selection for customers using scientifically-based methods and decision making.
· Helping to build production systems that take inputs from multiple models and make decisions in real time.
· Automating feedback loops for algorithms in production.
· Develop input and assumptions based preexisting models to estimate the costs and savings opportunities associated with varying levels of network growth and operations
· Communicating with and supporting various internal stakeholders and external audiences
· Utilizing Amazon systems and tools to effectively work with terabytes of data.
 

BASIC QUALIFICATIONS

· Masters in quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent)
· Knowledge and expertise with Data modelling skills, SQL with Oracle, MySQL, and Columnar Databases
· Skilled with Java, C++, or other programming language, as well as with R, SAS, MATLAB, Python or similar scripting language
· 5+ years of experience working in data science in a consumer product company, managing Machine Learning Scientists, Data Scientists, Research Scientists, Applied Scientists, Economists or equivalent fields
· Experience in hiring and leading experienced scientists
· Business level in English.

PREFERRED QUALIFICATIONS

· A PhD in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent)
· 10+ years of experience working in data science in a consumer product company
· 5+ years of experience managing Machine Learning Scientists, Data Scientists, Research Scientists, Applied Scientists, and/or Economists
· Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems, dialogue systems, information retrieval, XGBoost, LightGBM, ElasticNet.
· Functional knowledge of AWS platforms such as S3, Glue, Athena, Sagemaker.
· Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
· Ability to manage and quantify improvement in customer experience or value for the business resulting from research outcomes
· Demonstrated industry leadership in the fields of Database and/or Data Warehousing, Data Sciences and Big Data processing.
· Deep understanding of data, application, server, and network security
· Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts
· Successful record of developing junior members to a successful career track
· Excited about working in a diverse group and contributing to an inclusive culture.

Using technology to address some of the greatest challenges facing humanity. This is what the AI for Good Research Lab at Microsoft does. We work on AI for societal good, sustainability and climate change, misinformation and the erosion of democracy, crimes against vulnerable populations, cybersecurity, and disaster response. These are some of the programs at Microsoft where we want you to apply your world-class expertise.

Come to work every day knowing you are working on projects that help save lives, alleviate suffering and restore human dignity. Your work will be a fusion of economics, political science and AI. It is an unusual mix of skills, and you will have access to our technology, resources, global scale, and genuine commitment to using the power of AI and technology for good to achieve those aims. We call this AI for Good, and we will empower our partners across the globe with our research, platforms and technology.

Researchers scientists, machine learning scientists and data Scientists with a background in political science, economics or related disciplines have a fantastic opportunity to join the AI for Good Research Lab that is led by Microsoft’s Chief Data Scientist. You get to work at the cutting edge of data science, with some of the brightest minds in the field, whilst knowing that you are generating solutions to some of the most demanding and defining challenges of our time. This role will report to the Deputy Director of the AI for Good Research Lab, and work closely with teams across Microsoft to deliver world class solutions to some of the world’s most pressing problems.

Responsibilities

• Create machine learning solutions, including artificial intelligence, for a diverse set of problems.
• Employ political science or econometric modeling to datasets as diverse as misinformation spread or climate change effects.
• Work closely with data analysts, data engineers, business and project stakeholders and incorporate their expertise into your data science solutions.
• Represent our capabilities and product offerings to internal and external leadership audiences, both technical and non-technical.
• Advance the research agenda for AI For Good initiatives: Prepare technical papers and presentations, and publish them internally and externally. Our research philosophy encourages knowledge sharing so you will contribute to the AI for Good research community by publishing papers, collaborating with leading academic institutions and speaking and participating at leading industry events.

Qualifications

Required Experience:

• Master’s in a quantitative field. Ph.D. preferred.
• At least 4 years of experience in delivering insights and capabilities through data science, AI or machine learning techniques. E.g., neural networks, NLP, computer vision, random forests and other supervised methods, clustering, PCA, etc.
• At least 4 years of experience with a numerical programming language such as Python/Numpy/Scipy, C#, or similar.
• Familiarity with SQL.
• Research or strong experience in computational aspects of one or more of the following, or highly related, areas preferred: Bayesian modeling, causal inference methods, finite mixture models, generalized linear models, joint modeling, nonlinear mixed models.
• Experience framing and participating in data-driven business decisions, including measuring and evaluating outcomes.
• Excellent oral and written communication skills. The ability to translate data science to non-technical people at all levels.
• Working as part of a team, with proven ability to build trusted relationships. Demonstrated ability to work efficiently, prioritize workflow, and meet demanding deadlines.

Preferred Experience:

• Experience with Tensorflow, PyTorch.
• Experience with cloud-based architectures such as Azure or AWS

RStudio creates great software that helps people understand data and make better decisions in real-world applications. Our core offering is an open-source data science toolchain, and we aim to make it available to everyone, regardless of their economic means. Our customers are leading-edge innovators in analytics, machine learning, big data, and similar domains and generally work in R and Python.

RStudio is looking for a Data Scientist to help deliver exceptional experiences to customers and improve systems for marketing and customer acquisition. This is a unique opportunity to grow the data science foundation working for a company that’s all about Data Science. 

You will work with the RStudio tool set from wrangling raw data, optimizing our campaigns and sales efforts, and all the way up to designing and deploying executive and board dashboards. This is a critical role in helping RStudio learn more about our business so that we can do a better job delivering on our mission.

Responsibilities:

• You will collaborate with other data scientists and stakeholders to develop models of customer behavior
• You will help design, measure, and optimize customer experiences that are unique and valuable
• You will be working on the entire “stack” from raw data to experimental analysis
• You will analyze experimental results and apply what you learn to future experiments
• You will use data visualization, writing, and verbal communication to share insights to all relevant stakeholders, including non-technical stakeholders
• You will work with Executive leadership on setting long term goals with clear deliverables and making action plans to realize them
• You will work on projects such as customer journey analysis, marketing attribution models, lifetime value modeling, and data visualization - ability to present results clearly to technical and non-technical stakeholders
• You will plan, build, and maintain dashboards and reports to communicate the health of different aspects of the business
• You will identify and troubleshoot data errors and discrepancies from various sources
• You will provide data-driven recommendations across the customer lifecycle (Marketing, Sales, Product, Support, etc.)

About You:

• You are humble, kind, curious, and people smart
• 3+ years of direct experience in a data science role, ideally working in a growth, demand generation, and Marketing capacity in SaaS
• You have experience using customer data platform tools to drive business decision-making
• You have hands-on experience in customer journey modeling and probabilistic attribution modeling using Markov chain and Bayesian methods
• You have successfully designed and implemented A/B tests
• You have driven demand generation strategy by identifying key insights and implementing optimization methods
• You have experience working with data across different marketing channels including search, social media, and organic channels
• You are highly organized, self-motivated and able to adapt to changing priorities, with strong critical thinking and project management skills
• You enjoy working with cross-functional teams, and understand trade-offs in goals and investments of resources
• Willingness and desire to work in a fast-paced and high growth environment
• You are able to communicate complex ideas in a straightforward, engaging and informative way, that demonstrates empathy for customers struggles and challenges
• You are able to use code to create meaningful reports and dashboards from messy data sources
• Proficient in using R for data wrangling, visualization, modeling, and communicating information with stakeholders
• Google Analytics certification and Google Tag Manager certification is a plus
• Familiarity with Python and RStudio products is a plus
• Familiarity with tools such as Salesforce, Marketo, Segment, and ZenDesk is a plus