• Engage with CTO to align on short-term and longer-term research and development needs, determine project risk factors and prepare associated project plans and project proposals.
• Develop accurate resource and staffing plans to ensure all research projects are consistently delivered on time and budget
• Regularly review project status to mitigate risk, provide project guidance to team members, and facilitate the need for business and/or technical clarifications with project team members.
• Review deliverables, prepare project status reports and ensure research quality
• Efficiently lead sprint planning and sprint review meetings, maintain sprint board (jira) and be accountable for ensuring tasks are up to date and track velocity.
• Lead brainstorming sessions and ensure research priorities are maintained by AI researchers encourage the members with ideas when a roadblock is hit on ideas.
• Work closely and proactively with other engineering managers to ensure a cohesive product design from concept to production.
• Work closely with the Product/Marketing/Engineering teams to build reliable models from concept to production.
• Ensure code quality, git repos, dataset and research result reports are maintained to standard.
• Accountable for the safety and accuracy of research data storage and security.
• Actively engage in conducting regular one-on-ones to maintain morale, feedback mechanisms and employee growth plans.

Skills: Project Management, Resource Planning, Risk Assessment, Agile Methodologies, Team Leadership, Technical Communication, Code Quality Assurance, Employee Development

• Define the vision and strategy, and set ambitious goals for the Safety & Insurance DS/analytics team
• Recruit, lead and develop a talented team of data scientists and data analysts
• Master safety-related data, risk factors, and outcomes in high and low resolution, such as before, during, and after a trip, and at coarser aggregations or periods and geography
• Develop and lead statistical and machine learning efforts for projects. 
• Use large-scale data processing such as Spark, Hive, and Uber’s proprietary machine learning platform, and more
• Work with sensor and telematics data such as GPS and phone accelerometer & gyroscope data
• Conduct original analyses to advise and influence product, engineering, and operations efforts
• Handle stakeholder expectations across global product groups
• Leads research efforts into building probabilistic models and algorithm approaches for the analysis of genetic data
• Moves products through the full development process, from research through commercial launch. Guides technical decisions by understanding strategic impact and product needs.
• Contributes to Natera’s intellectual property portfolio
• Produces high-quality written documentation including experiment plans, reports, and mathematical write-ups

Skills: Data Strategy Development, Team Leadership, Statistical Analysis, Machine Learning, Large-Scale Data Processing, Sensor Data Analysis, Stakeholder Management, Technical Documentation

• Create statistical models (predictive, segmentation, attrition, etc.) using advanced techniques such as Bayesian analysis, logistic regression, cluster analysis, random forests and many more.
• Own projects from data exploration to production in a fast-moving environment
• Work with the business to understand the needs to build a needed models
• Partner with the technology team to evolve database utilization
• Be able to work within an Agile environment, building and evolving models in a test and learning fashion
• Consult with Heads of Data Science and other leadership at CPG companies to understand and solve business problems. 
• Serve as resident expert in the consumer packaged goods industry. 
• Design, code, and implement custom pricing, assortment, and allocation algorithms for enterprise customers based on specific use cases. 
• Analyze complex data sets, identify and evaluate trends, and create recommendations for change and improvement
• Hands-on analyst as well as a leader and mentor of a team.
• Identify, quantify, and disseminate insights to key stakeholders throughout the organization
• Manages a team of data scientists, taking responsibility for their technical and professional development

Skills: Statistical Modeling, Data Exploration, Agile Methodologies, Database Utilization, Business Problem Solving, Custom Algorithm Development, Trend Analysis, Team Leadership and Mentorship

• Lead and scale the data scientist team to drive the rapid growth of the company
• Provide thought leadership and strategic direction for where data science can solve challenging problems across the organization 
• Determining where to focus, how to prioritize, and where to make investments to achieve optimal ROI
• Be highly comfortable advocating for Data Science and educating the organization on the vision
• Distill complex technologies and ideas into practical business solutions and applications
• Own the data science roadmap for the company
• Determine resources, technology, and the course of action needed to achieve both short and long-term results
• Build strong relationships with business and technology leaders
• Introduce an agile/iterative development process to drive timely and impactful data science deliverables
• Identify gaps in existing data and work with Engineering teams to implement data-tracking
• Partner with Analytics team members and other functions to share insights and best practices, ensuring consistency of data-driven decision-making throughout the organization
• Coordinates with technology partners to build and maintain systems necessary for the deployment of developed models and algorithms.
• Communicates chosen methodologies, analyses, and interpretation of model predictions to business stakeholders at the highest level, including flagship clients and other external stakeholders.

Skills: Team Leadership, Strategic Direction, ROI Optimization, Data Science Advocacy, Business Solution Development, Roadmap Ownership, Relationship Building, Agile Development Methodologies

• Exploration and experimentation with a large number of datasets to draw insights and search for stories
• Modeling and building algorithms on top of vast number of datasets
• Assist in designing tech infrastructure and data pipelines (ETL, data automation, data querying, etc.)
• Building tools to process, visualize and analyze data
• Designing and building data-driven software products
• Deploying scalable solutions to cloud-based infrastructure
• Be a leader for a group of talented data scientists
• Develop junior data scientists with guidance and mentorship and following the company culture Code
• Be hands-on with the work that the team is conducting
• Participate in defining the strategic direction and roadmap for the Advanced Analytics group
• Plan, research and develop data products from ideation through development and deployment as well as communication of results and performance to leadership
• Provide technical leadership to support the ongoing development of the company analytics services platform
• Collaborate with product management, engineering and business stakeholders to deliver analytics products that have a quantifiable impact on company business

Skills: Data Exploration, Algorithm Development, Tech Infrastructure Design, Data Visualization, Software Product Development, Cloud Solution Deployment, Team Leadership and Mentorship, Strategic Roadmap Planning

• Experience with SQL to extract and manipulate data and draw insights from large data sets.
• Experience with developing visualizations using Tableau, Thoughtspot or other data visualization tools.
• Knowledge of predictive and prescriptive models and analytics.
• Experience with developing and automating data analytics and performing ad-hoc analysis.
• Strong analytical skills and demonstrated success in meeting/exceeding business objectives
• Adept in creating executive presentations and storytelling.
• Experience partnering with multi-disciplinary teams and directing the work of others in a matrixed environment.
• Experience presenting insights and recommendations in a concise and consumable narrative.
• Knowledge of various Verizon DataMart's and data elements.
• Experience in leading projects and cross-functional teams under an agile framework
• Experience working with the Data Sciences team to develop models and predictive with successful business implementation and proven ROI.

Qualifications: BS in Mathematics with 7 years of Experience

• Substantial experience in Data Science in a commercial environment
• Experience in ecommerce business and using data science to personalize the user journey
• Extensive experience across digital analytics, user journey modeling, recommender systems, and deep learning
• Extensive personal portfolio of projects, both as a direct contributor and as a lead, where analytics and data science were used to drive business value and decisions
• Strong in problem-solving, combining both a logical and innovative approach
• Advanced, in-depth, understanding of data science concepts and extensive applications of mathematical, statistical, machine learning and deep learning techniques
• Solid foundation in programming and proficiency in Python demonstrated through broad project portfolio and wide adoption of software engineering best practices. 
• Hands-on experience with deep learning frameworks, such as PyTorch or Tensorflow is also beneficial
• Good understanding of big data technologies and extensive experience with Spark
• Strong desire and proven ability to continuously learn new software, technologies and methodologies and keep up with the fast-evolving field of big data
• Experience running a high-functioning analytics and data science team, with proven ability to recruit and develop high-caliber individuals at different levels of experience

Qualifications: BS in Business Analytics with 11 years of Experience

• Experience in Healthcare data analytics, artificial intelligence and/or data engineering
• Previous direct and/or indirect leadership experience
• Previous SQL, Python, R and/or Splunk experience
• Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions
• Experience with providing strategic advice and guidance to functional teams
• Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting
• Experience in creating reports, projections, models, and presentations to support business strategy and tactics
• Successful demonstrated experience in working with senior executives to develop and drive segment or enterprise-wide functional strategies
• Prior experience with identifying Fraud, Waste, and Abuse in Healthcare
• Previous management experience

Qualifications: BS in Statistics with 6 years of Experience

• Experience in data/big data systems throughout their entire lifecycle.
• Experience leading a team of engineers, and with people management (hiring, growth and development, performance assessment, mentoring, conflict resolution).
• Be a proactive and strategic thinker with critical thinking, troubleshooting, and problem-solving skills.
• Experience with program management (specifically implementing, managing, and improving software development lifecycles in an Agile/SCRUM/SaFE environment)
• Experience with modern data platform technologies, such as Lakehouse, Delta Lake, Data Mesh, Data Warehouses, or Data Lakes.
• Experience with technologies like Synapse Analytics, Azure Data Lake, Azure Data Factory, Azure Event Hub, CosmosDB, Azure Cognitive Services, Power Platform (PowerBI), etc. across the Azure ecosystem
• Experience designing, deploying (especially IaC), and maintaining cloud-based data environments
• Experience with data compliance and lifecycles - data governance and data compliance requirements in various international regulatory regimes.
• Experience with analytics and reporting tools (visualization, data science, machine learning), and especially with technologies like Microsoft’s Power Platform (PowerBI), Tableau, Sisense, ThoughtSpot, Qlik, etc.
• Programming/scripting experience is a definite plus (C#, Python, R, Bash, PowerShell).
• Excellent communication skills with the ability to communicate opportunities and influence decision-making and prioritization

Qualifications: BS in Information Technology with 8 years of Experience

• Professional experience training and deploying models.
• Working experience creating production models or building analysis in the industry
• Experience managing an engineering team of 3-5 people
• Work authorization in the country in which you intend to be based.
• Possesses strong Python software development skills.
• Experience in two or more of the following areas - Machine Learning, SQL Analytics, Visualization Tools
• Have strong engineering fundamentals - build applications in Python as well as trained models and are comfortable with supporting all layers of the stack.
• Demonstrate tenacity and a willingness to go the distance to get something done.
• Be inquisitive, intellectually curious, and able to make sense of complex systems or information.
• The ability to work in a structured approach towards goals and pay attention to detail.

Qualifications: BS in Computer Science with 5 years of Experience