Job Summary: 

• Lead, coach, hire, and mentor a team of highly skilled data scientists
• Foster innovation, with cutting-edge data science, machine learning (ML) and Artificial Intelligence (AI)
• Analyze customer data sets and signals for delivering practical data science-driven insights
• Push the boundaries of AI and analytics as applied to business outcomes
• Evaluate and recommend research investments, potential and strategy for realizing the full value of data science
• Participate in impactful customer engagements, with a full understanding of Clari customer value and data science capabilities
• Work with engineering managers, product managers and architects to deliver data science capabilities to multiple customers
• Be the technical and business-level evangelist and external spokesperson for the company’s data science initiatives
• Share data science knowledge and expertise across functional departments within the company
• Directs team toward analytical solutions that are highly marketable and/or have a broad (quantified) impact on the business.
• Manages staff, providing guidance, setting goals, and ensuring that overall department goals are attained.
• Leads project team to achieve milestones and objectives, and to deliver high-quality (fully tested) solutions.

Skills on Resume: 

• Team Leadership (Soft Skills)
• Data Science Expertise (Hard Skills)
• Machine Learning Proficiency (Hard Skills)
• AI Implementation (Hard Skills)
• Data Analysis (Hard Skills)
• Communication Skills (Soft Skills)
• Project Management (Soft Skills)
• Strategic Thinking (Soft Skills)

Job Summary: 

• Lead and run a team of high-performing Data Scientists.
• Understand the strategic direction for the business and use this to identify and prioritize work.
• Develop a capability strategy for Data Science and Analytics across the business that drives optimal business performance.
• Develop strong relationships across the business, including the Senior Leadership Team and the IT Team.
• Sets strategic direction for the integration of advanced statistical techniques with reporting tools used across business units
• Managing projects involving data management and quality control, data mining, and data reconciliation
• Directing the timely delivery of high-quality, value-added reports with the usage of automation solutions (e.g. Python, Hive, SQL, SAS)
• Utilizing innovative compliance testing solutions including Data Analytics to increase value and reduce costs of compliance-related activities, supporting the decision-making process
• Interacting with subject matter experts to identify and analyze data elements, report findings or conclusions, and suggest approaches or factors for enhancing compliance risk models
• Use algorithms and mathematical models for data exploration and generation of insights that can be used for decision-making in the company.
• Design and implement tests and measurements to improve business practices.
• Manage the design, drafting, and coordination of analytics and reports that clearly articulate compliance risks and controls across a country, region, business sector, product, or enterprise-wide to quantify compliance risk.

Skills on Resume: 

• Team Leadership (Soft Skills)
• Strategic Planning (Soft Skills)
• Data Science and Analytics Strategy Development (Hard Skills)
• Relationship Building (Soft Skills)
• Project Management (Soft Skills)
• Data Management and Quality Control (Hard Skills)
• Automation Solutions (Hard Skills)
• Compliance Risk Analysis (Hard Skills)

Job Summary: 

• Work collaboratively with product, engineering, and operations leaders to make data-driven decisions across the organization
• Manage the data science team to develop real-time and predictive solutions for internal stakeholders and external partners
• Design and develop scalable data analytics solutions derived from large and complex datasets integrated across multiple platforms
• Communicate findings to the executive team, technical collaborators, and business stakeholders using appropriate mediums
• Manage feature roadmap for Analytics Services and assist Business Development teams with customer communications
• Identify organizational pain points and deliver compelling data-driven solutions containing holistic metrics summarizing performance and specific actionable insights 
• Monitor data integrity and identify areas of opportunity across departments
• Lead cross-departmental collaborative efforts to fully understand ideal project outcomes and scope
• Identify opportunities for partnerships with external software integration partners and perform due diligence to evaluate partnerships
• Actively reinforce technical strategy and data integrity best practices across the organization
• Propose solutions to different business problems, based on advanced data analysis.
• Generate segmentations to know and classify consumers according to their behavior and consumption habits.

Skills on Resume: 

• Collaborative Leadership (Soft Skills)
• Data Science Team Management (Soft Skills)
• Scalable Data Analytics Development (Hard Skills)
• Effective Communication (Soft Skills)
• Feature Roadmap Management (Soft Skills)
• Data Integrity Monitoring (Hard Skills)
• Partnership Evaluation (Soft Skills)
• Advanced-Data Analysis (Hard Skills)

Job Summary: 

• Prioritise, scope, plan and manage the delivery of concurrent projects to high quality and pace
• Supervise and coach Data Scientists to deliver practical, timely solutions to valuable business problems
• Research, design and prototype algorithms and models within the relevant business domain(s)
• Tell engaging stories to senior stakeholders using non-technical language to influence change
• Develop and maintain relationships with key internal customers and product owners to increase awareness of Data Science and drive its uptake
• Influence wider data and engineering colleagues to maintain pipelines, build appropriate backlogs and construct deliverables
• Ensure correct design of experiments to quantify the performance of algorithms in both digital and physical domains, evaluating performance using business-relevant metrics
• Educate and train Data Science colleagues on best practices and help to improve the operating model
• Contribute to a vibrant Data and Analytics community of over 800 colleagues
• Propose new measurement indicators that allow to deepen the knowledge of the different businesses of the company providing a cross-LOB look and incorporating new sources of information.
• Leading in the production of research and analysis to quantify the impact of internal and external environments on portfolio performance

Skills on Resume: 

• Project Management (Soft Skills)
• Team Supervision and Coaching (Soft Skills)
• Algorithm and Model Prototyping (Hard Skills)
• Storytelling and Communication (Soft Skills)
• Relationship Management (Soft Skills)
• Influence and Collaboration (Soft Skills)
• Experimental Design (Hard Skills)
• Data and Analytics Community Engagement (Soft Skills)

Job Summary: 

• As a key member of the SEA regional team, play a significant role in shaping SEA analytics culture.
• Own multiple work streams related to business intelligence projects, translating complex business requests to meaningful dashboards with the application of advanced analytics methods.
• Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to leverage unique data to predict, understand and solve business problems.
• Execute projects on data cleansing, data analysis and visualization.
• Synthesize and package complex analyses, making them understandable across technical and non-technical audiences.
• Partner with the business team to interpret trends or patterns in the collected data set.
• Collaborate with key partners to understand, capture, and shape requirements for reports and interactive dashboards that enable data-driven decision-making.
• Collect structured and unstructured data from multiple sources in Sales, Marketing, and Finance databases to create integrated views for decision-making.
• Automate manual reporting processes using advanced Microsoft applications (PowerBI, Azure, etc.)
• Design, automate and maintain mission-critical dashboards using PowerBI.
• Participate in building and continuously improving the data architecture, data integrity, dashboards and enterprise data warehouse.
• Work with Digital and Technology teams

Skills on Resume: 

• Analytics Culture Development (Soft Skills)
• Business Intelligence Project Management (Hard Skills)
• Innovative Problem Solving (Soft Skills)
• Data Cleansing and Analysis (Hard Skills)
• Data Visualization (Hard Skills)
• Trend Analysis (Hard Skills)
• Requirement Gathering (Soft Skills)
• Dashboard Automation (Hard Skills)

Job Summary: 

• Leading development and deployment of Data Science projects by advising Data Scientists on technical matters
• Guiding Data Scientists in problem formulation
• Ensuring that Data Scientists adhere to Data Science processes such as intake process, version control, and other process-related matters
• Lead execution of deployment strategies
• Lead the implementation of design, development, deployment, and maintenance of predictive prescriptive statistical models in originations, collections, risk, pricing, fraud, customer experience and marketing.
• Model with expertise in forecasting, optimization, data mining, analysis, and analyzing complex datasets
• Initiating and guiding studies with the use of descriptive and supervised machine learning methods and advanced statistical methods using innovative and the latest advanced techniques and algorithms
• Summarizing, reporting, and providing polished presentations of findings to a variety of internal clients as well as working with other departments to achieve the overall company objectives
• Analyze retail data using advanced statistical techniques to help develop benchmarks, optimization strategies and recommendations
• Partner with business stakeholders to evaluate business questions and propose analytical solutions that provide actionable insights on customer behavior and product assortment
• Develop consistent approaches to evaluating customer behavior over time in a changing environment
• Create and deliver impactful presentations for mid-level and senior-level audiences

Skills on Resume: 

• Project Leadership (Soft Skills)
• Technical Advisory (Soft Skills)
• Data Science Process Management (Hard Skills)
• Deployment Strategy Execution (Hard Skills)
• Predictive Modeling (Hard Skills)
• Advanced Statistical Analysis (Hard Skills)
• Presentation and Reporting (Soft Skills)
• Customer Behavior Analysis (Hard Skills)

Job Summary: 

• Define and share a strategic vision for the function
• Lead a talented team with proven data science & analytic skills
• Motivate and ensure success for the team by defining roles and responsibilities that are communicated, establishing processes, and developing personal development plans.
• Contribute to developing strategic and tactical plans for the support of Health projects
• Partner with other leaders across Health to achieve success against complex initiatives.
• Lead, recruit, and guide a team with varied strengths of high-performing data analysts and data scientists focused on diving deep into a complex space
• Own and deliver against a prioritized multi-year roadmap across ML, datasets, analytics, and dashboards that take into account new features and product launches.
• Increase internal adoption of advanced analytics methods including machine learning and statistics.
• Propose product changes backed by well-defined experiments and data analytics.
• Design and evaluate experiments that help define opportunities for improved product feature effectiveness and greater customer satisfaction.
• Analytics, statistical analysis, and visualization of data to help understand data.

Skills on Resume: 

• Strategic Vision Development (Soft Skills)
• Team Leadership (Soft Skills)
• Motivation and Performance Management (Soft Skills)
• Health Project Planning (Hard Skills)
• Cross-Functional Collaboration (Soft Skills)
• Roadmap Ownership (Hard Skills)
• Advanced Analytics Adoption (Hard Skills)
• Experiment Design and Evaluation (Hard Skills)

Job Summary: 

• Manages collection and organizing of data from various internal and external sources to prepare analyses and data sets for report generation, statistical analysis and data mining projects. 
• Establishes ownership of key data fields
• Creates, classifies and documents data definitions.
• Creates, implements, and assesses appropriate data controls (e.g. reasonability checks, dollar/count controls, field requirements).
• Provides data necessary to measure the performance of models that are in production. Assists with building model monitoring reports.
• Develops, deploys and maintains diagnostic reports, dashboards and scorecards that assess and monitor enterprise, operating company and business unit performance and results on an ongoing basis.
• Leads the data group as it assists the rest of the Predictive Modeling team working with Information Technology, Project Management and the Business Units on the implementation efforts required to move completed predictive models into a production environment to support key business processes. 
• Ensures processes related to deploying models or creating applications are coordinated with IT best practices.
• Prepares and delivers reports and presentations with a level of detail appropriate for the intended audience.
• Maintains an understanding of predictive analytics techniques necessary to successfully lead analytics data assembly efforts.
• Keeps abreast of data developments within the industry and transfers knowledge to the rest of the data team. 
• Actively participate in the data center of excellence.

Skills on Resume: 

• Data Collection and Organization (Hard Skills)
• Data Ownership Management (Soft Skills)
• Data Definition Documentation (Hard Skills)
• Data Control Implementation (Hard Skills)
• Model Performance Measurement (Hard Skills)
• Report and Dashboard Development (Hard Skills)
• Cross-Functional Coordination (Soft Skills)
• Predictive Analytics Knowledge (Hard Skills)

Job Summary: 

• Develop robust and reliable machine learning algorithms helping to reduce social bias from training data and models
• Use modern machine learning techniques on structured and unstructured data while considering factors like differential privacy, federated learning or learning on encrypted data
• Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
• Manages data team and participates in the creation of departmental strategy. 
• Responsibilities include budgeting, balancing workloads, creating efficiency through automation, special projects, quality improvement and oversight
• Acting as a subject matter expert and mentor and continuously evaluating toolsets and methodologies.
• Lead and develop a small team of data scientists in supporting retail merchandising strategic priorities (e.g. assortment optimization, pricing analytics and promotions analytics)
• Devise robust analytical approaches and modeling methodology in collaboration with Front Store Retail, A&BC and vendor partners
• Build predictive models in statistical programming tools (Python, SAS, R) using advanced data science concepts
• Extract and manipulate data from multiple large data sources and use data to deliver predictive models that drive product assortment and increase profitability

Skills on Resume: 

• Machine Learning Development (Hard Skills)
• Data Privacy Techniques (Hard Skills)
• Technology Proficiency (Hard Skills)
• Model Development (Hard Skills)
• Team Management (Soft Skills)
• Budgeting and Workload Management (Soft Skills)
• Subject Matter Expertise (Soft Skills)
• Predictive Modeling (Hard Skills)

Job Summary: 

• Analyze data, develop reports and present data to GVSE Sales Leadership.
• Financial risk analysis and decision modeling.
• Analyze data for process development and improvement.
• Provide business operations and finance support.
• Perform in-depth requirements and data analysis and presentation.
• Evaluate and gain support for alternative solutions, effectively influencing outcomes.
• Identify, document, and improve operational business processes.
• Tracking and reporting of key financial indicators.
• Be the driver of the transition to iACV metrics for GVSE. 
• Learn and gradually become an expert in new metrics (iACV/$ renewed).
• Be a strong team player - can lead or collaborate, able to resolve complex issues in a team environment.

Skills on Resume: 

• Data Analysis and Reporting (Hard Skills)
• Financial Risk Analysis (Hard Skills)
• Process Improvement (Hard Skills)
• Business Operations Support (Soft Skills)
• Requirements Analysis (Hard Skills)
• Solution Evaluation and Influence (Soft Skills)
• Operational Process Improvement (Hard Skills)
• Team Collaboration (Soft Skills)

Job Summary: 

• Serve a group of scientists as manager through hiring, coaching, mentoring, and career development
• Build cohesive, functioning cross-functional teams that thrive in a culture of trust, respect and inclusion
• Ensure teams are consistently and iteratively delivering high-impact, high-quality work by continuously assessing their approach and their process maturity
• Shape the future of data science within ASOS by defining and executing strategies to attract and retain top talent and push AI competencies forward
• Develop a learning curriculum for each career family and provide clarity for progression for each individual
• Increase ASOS AI visibility through partnership with academia and participation in leading conferences
• Be part of a sizable engineering management group to share knowledge and drive organizational change and improvement
• Give leadership to other efforts that fit the passion and ASOS needs in collaboration with other managers, engineers and/or scientists
• Monitor data science trends, emerging tools, and technologies to develop best in class, and continually improve predictive science frameworks and processes for the team
• Partner with key stakeholders on strategic business conversations, to understand business needs and identify the best analytical approach to solve the business problem
• Promote a culture and acceptance of tests and learn the culture
• Provide technical and know-how to team members

Skills on Resume: 

• Team Management (Soft Skills)
• Cross-Functional Team Building (Soft Skills)
• Process Assessment and Improvement (Hard Skills)
• Talent Strategy Development (Soft Skills)
• Learning Curriculum Development (Hard Skills)
• AI Visibility Promotion (Soft Skills)
• Knowledge Sharing (Soft Skills)
• Business Needs Assessment (Hard Skills)

Job Summary: 

• Partnering with local ANZ, global and regional (APAC) teams to build a strong big data foundation for customers, markets, and campaign effectiveness and insights.
• Building scalable and reusable data analytics and market/business intelligence capabilities & frameworks to enable targeting of customers across portfolios, increasing customer centricity, actionable data insights, sales lead volume and increasing digital revenue conversion rates
• Mine and analyze data and use predictive modeling to increase and optimize marketing techniques, customer experiences, revenue generation, ad targeting and other business outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Work with data science and analytics team to build scalable and reusable machine learning solutions
• Identify and present predictive drivers/leading indicators, trends, outliers, and patterns that uncover new insights to help guide enterprise-wide data science strategy.
• Leverage visualization tools including advanced Power BI, Tableau, and SAS Visual Analytics to perform interactive data exploration and advanced analytics that help businesses identify areas of opportunity.
• Utilize IoT data, web analytics, digital marketing KPIs, VOC insights, and additional data sources to contribute to the overall strategy for a 360° view of the customer.
• Consumer/store level segmentation and most valuable store prioritization, to enable precision targeting of the brand, customer, and market activity
• Store clustering initiatives to drive assortment, marketing, and other granular execution for Walmart and Sam’s Club.
• Optimize store-level opportunity forecasting for strategic brands to fuel optimized AOP planning
• Tailored applications of big data for key business PTS and strategic channels of trade.

Skills on Resume: 

• Big Data Partnership (Soft Skills)
• Data Analytics Framework Development (Hard Skills)
• Predictive Modeling (Hard Skills)
• Model Performance Monitoring (Hard Skills)
• Machine Learning Solution Development (Hard Skills)
• Data Visualization (Hard Skills)
• Customer Insights Analysis (Hard Skills)
• Store Level Segmentation (Hard Skills)

Job Summary: 

• Identify new business opportunities for the team.
• Managing customer relationships, understanding business challenges and architecting innovative solutions
• Track projects and drive work on them through to completion.
• Build business processes for more efficient operation of the team.
• Identify valuable ways of incorporating data science into business workflows and implementing best technical practices
• Identify tooling gaps on the team and work to fill those gaps.
• Hiring, mentoring team members and day-to-day management of the ACE team
• Spread the best practices of the team to other data science teams by creating knowledge materials, presenting those materials, and engaging with other data science leaders on those materials.
• Assist in efficiently handling large volumes of real-time data
• Design methods to visualize, and communicate results effectively
• Be continuously learning about GIS, hydrology, hydraulics and cloud infrastructure
• Communicate and partner with third-party data vendors

Skills on Resume: 

• Business Opportunity Identification (Soft Skills)
• Customer Relationship Management (Soft Skills)
• Project Management (Soft Skills)
• Business Process Development (Hard Skills)
• Data Science Integration (Hard Skills)
• Tooling Gap Analysis (Hard Skills)
• Team Management and Mentorship (Soft Skills)
• Data Visualization (Hard Skills)

Job Summary: 

• Develop a deep understanding of available data sources, including data capture methodologies, sampling requirements, and descriptive statistics
• Implement advanced analytics in support of commercial teams, including explorative applications of machine learning, deep learning and artificial intelligence
• Utilize machine learning to build predictive models for application in patient support programs
• Build and fine-tune algorithms that scale up from the small-scale proof-of-concept stage to full-production systems
• Develop automated capabilities that enable the application of machine learning across Horizon’s portfolio of medicines
• Create insightful visualizations that can help a non-technical audience make sense of complex datasets
• Proactively identify business opportunities for leveraging data science data mining efforts to solve unmet medical needs, support the analysis of claims data to generate market insights
• Identify and shape business challenges and opportunities into analytical, data lead solutions, ranging from scoping and evaluating data opportunities to developing data-driven insights, data models and recommendations to fuel strategic growth
• Day-to-day support and point of contact for Data Scientists and Data Engineers
• Support ad hoc projects and tasks
• Work with the Systems, Data & Analytics Team to ensure successful delivery of solutions.
• Identify and resolve business conflicts and influence decision-makers to ensure that agreed priorities are met in terms of objectives and timelines.
• Coordinate with programs and initiatives delivering value across the business.

Skills on Resume: 

• Data Source Understanding (Hard Skills)
• Advanced Analytics Implementation (Hard Skills)
• Predictive Model Development (Hard Skills)
• Algorithm Fine-Tuning (Hard Skills)
• Automated Machine Learning (Hard Skills)
• Data Visualization (Hard Skills)
• Business Opportunity Identification (Soft Skills)
• Stakeholder Coordination (Soft Skills)

Job Summary: 

• Lead a team of data scientists within a consulting practice
• Deliver data projects for clients in different industries
• Coach team members to achieve the best results on their respective assignments
• Act as a data science team leader demonstrating initiative, inspiration
• Offer support to pre-sale activities and at times lead end-to-end pre-sale initiatives
• Occasionally conduct analyses and build predictive and ML models for clients 
• Tell stories back to the business through stunning data visualization
• Provide hands-on leadership, coaching and mentoring to junior members of the staff
• Translate requirements and acceptance criteria into ML implementations
• Provide estimates for ML activities
• Help to research, ideate, design, build and run a growing suite of production models
• Manage and contribute to a small team that thrives on solving big problems

Skills on Resume: 

• Team Leadership (Soft Skills)
• Project Delivery (Hard Skills)
• Coaching and Mentoring (Soft Skills)
• Initiative and Inspiration (Soft Skills)
• Pre-Sale Support (Soft Skills)
• Predictive Modeling (Hard Skills)
• Data Visualization (Hard Skills)
• Requirement Translation (Hard Skills)