Job Summary:

• Take ownership of special reporting requests for our customers and internal teams 
• Perform exploratory data analysis to gain deeper understanding of the data and discover new patterns and insights for further analysis or to support stakeholder decision-making 
• Develop and test statistical and machine learning models 
• Write production-quality code to build models and deploy them into production 
• Develop processes and tools to monitor and analyze model performance and data accuracy 
• Collaborate with product management and engineering teams to deliver projects on time and enhance features delivered to customers 
• Identify and evaluate relevant external data sources
• Follow new research and technologies in the field of data science and apply as appropriate 
• Demonstrate respect, teamwork and a persistent focus on customer needs both internally and externally
• Building production real-time Computer Vision and AI systems to solve hard problems in a wide range of uncontrolled environments. 
• Scene understanding, object detection and other fun aspects of computer vision and AI.

Skills on Resume:

• Reporting Management (Hard Skills)
• Data Exploration and Insight Discovery (Hard Skills)
• Statistical and Machine Learning Modeling (Hard Skills)
• Production Code Development (Hard Skills)
• Model Performance Monitoring (Hard Skills)
• Collaborative Project Delivery (Soft Skills)
• External Data Evaluation (Hard Skills)
• Continuous Learning (Hard Skills)

Job Summary:

• Own the whole development cycle end to end, from exploring gaps in model performance to model production. 
• Reduce abstract business requirements into manageable scientific problems
• Proficient in analyzing data and building models with common tools like Python, R, Scala, SQL. 
• Leveraging commonly used ML/optimization packages (e.g. sklearn, scipy) as well as deep learning frameworks to solve critical business problems. 
• Derive insights and help steer the development of a product
• Communicate verbally and in writing to business customers with various levels of technical knowledge, educating them about systems, and enabling them to interact with our data products. 
• Present scientific insights in plain words
• Drive fast and iterative improvements to established models. 
• Actively reduce uncertainty by forming/validating hypotheses in problem solving
• Fostering an inclusive and diverse team environment

Skills on Resume:

• Development Cycle Management (Hard Skills)
• Problem Translation (Hard Skills)
• Data Analysis Proficiency (Hard Skills)
• ML Framework Utilization (Hard Skills)
• Insights Generation (Hard Skills)
• Effective Communication (Soft Skills)
• Clear Presentation (Soft Skills)
• Iterative Improvement (Hard Skills)

Job Summary:

• Contribute to the development of Automated reports and Visualizations.
• Create statistical models and visualizations that integrate many types of data to create comprehensive models.
• Models will then be applied to determine the stability of Product and Analytical Methods.
• Experience in data analytics, Programming and creation of Visualizations.
• Automated Statistical Data Reports utilizing R Programming Language
• Automated eReports utilizing Pipeline Pilot programming language
• Support in Development and testing of UAT for eReport.
• Work closely with Engineering, Product and customers to scientifically frame the business problems and come up with the underlying mathematical models.
• Perform exploratory data analysis to gain deeper understanding of the data.
• Develop and test statistical and machine learning models, Visualizations utilizing Spotfire
• Write production-quality code to build models and work with Software Engineering teams to deploy them in production.

Skills on Resume:

• Automated Reporting & Visualization (Hard Skills)
• Statistical Modeling & Data Integration (Hard Skills)
• Stability Assessment (Hard Skills)
• Data Analytics & Visualization (Hard Skills)
• R Programming (Hard Skills)
• Pipeline Pilot Programming (Hard Skills)
• UAT Support (Hard Skills)
• Problem Framing & Mathematical Modeling (Soft Skills)

Job Summary:

• Drive intelligent experiences projects through entire lifecycle from idea creation through implementation, experimentation and finally to worldwide availability
• Build and deploy deep learning models for Office scenarios
• Work with research teams on adoption of the latest technologies
• Ensure performance and latency of models is appropriate for interactive real-time scenarios
• Design and build feedback loops for retraining models from production
• Measure the impact of models and work with product teams on appropriate designs of AI-powered experiences
• Follow documentation and coding best practices
• Build models, algorithms, and mechanisms in large scale production systems using A/B experimentation and using state-of-the-art research techniques.
• Deeply analyze existing user and customer data to understand gaps and opportunities to improve our ML solutions. 
• Run A/B experiments, and understand how to deploy robust ML models to production.
• Collaborate with a global team of world-class researchers, scientists and engineers to solve very challenging problems.

Skills on Resume:

• Project Management (Hard Skills)
• Deep Learning Model Building and Deployment (Hard Skills)
• Technology Adoption (Hard Skills)
• Performance Optimization (Hard Skills)
• Feedback Loop Design (Hard Skills)
• Impact Measurement (Soft Skills)
• Documentation and Coding Best Practices (Hard Skills)
• A/B Experimentation (Hard Skills)

Job Summary:

• Bring strong scientific experience in researching and building machine learning and deep learning based solutions to help our millions of customers in inspiration journey.
• Tackle challenging state-of-the-art fashion problems, such as outfit generation and recommendation. 
• Contribute to our scientific efforts with rigorous peer reviews and through publications in international conferences.
• Actively collaborate with other teams and share knowledge and expertise within our talented applied science community.
• Work closely with other applied scientists and engineers to bring our state of the art solutions to the customers and to discover and identify new opportunities.
• Perform RandD in Machine Learning for Recommendation Systems and drive full life-cycle Machine Learning projects.
• Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy models into production.
• Run A/B experiments, gather data, and perform statistical tests.
• Establish scalable, efficient, automated processes for large-scale data mining, machine-learning model development, model validation and serving.
• Work closely with software engineers and product managers to assist in productizing ML algorithms.

Skills on Resume:

• Strong Scientific Background (Hard Skills)
• Expertise in Machine Learning and Deep Learning (Hard Skills)
• Publication Record (Hard Skills)
• Collaboration and Communication (Soft Skills)
• Research and Development (R&D) Skills (Hard Skills)
• Model Development and Optimization (Hard Skills)
• Experimental Design and Analysis (Hard Skills)
• Scalable and Efficient Processes (Hard Skills)

Job Summary:

• Collaborate closely with engineers, applied scientists and product managers
• Develop computer vision and machine learning algorithms and software
• Take responsibility for technical problem solving, including creatively meeting product objectives and developing best practices.
• Interact with teammates in variety of roles to accomplish goals
• Identify and initiate investigations of new technologies, prototype and test solutions for product features
• Design and validate designs that deliver an exceptional user experience.
• Create a winning culture built on collaboration and shared accomplishments.
• Explore problems, formulate hypotheses, design experiments, prototype and validate solutions balancing scientific rigor and business impact.
• Accelerate the pace of innovation by building and continuously improving cutting-edge models at scale.
• Encourage creative approaches to problems and help achieve the team's objectives through reviews, mentoring and coaching.
• Create a strong customer experience and a positive business impact.

Skills on Resume:

• Collaboration and Teamwork (Soft Skills)
• Computer Vision & ML (Hard Skills)
• Problem-Solving Skills (Soft Skills)
• Communication and Interpersonal Skills (Soft Skills)
• Innovation and Adaptability (Soft Skills)
• User Experience Design (Hard Skills)
• Leadership and Team Building (Soft Skills)
• Business Acumen (Soft Skills)