Job Summary: 

• Data crunching and data massage
• Implementation/tuning of machine learning algorithms
• Data science/machine learning experiments
• Help build innovative data products using cutting-edge tools and technologies
• Support ongoing research initiatives that keep Modern Hire on the cutting-edge
• Work with machine learning and deep learning models and research natural language processing
• Drive the preparation of data used to train deep learning models and score unstructured data
• Prototype code and processes to improve the capabilities
• Assure the quality of software in terms of content, scoring, and functionality
• Performance modeling and data analysis
• Leverage data analytics and statistical modeling to improve the customer order-worker matching process.
• Communicate analyses and results in ways that are accessible and actionable to a diverse audience.

Skills on Resume: 

• Data Crunching (Hard Skills)
• Machine Learning Implementation (Hard Skills)
• Data Science Experiments (Hard Skills)
• Code Prototyping (Hard Skills)
• Performance Modeling (Hard Skills)
• Communication Skills (Soft Skills)
• Collaboration (Soft Skills)
• Research Support (Soft Skills)

Job Summary: 

• Conduct quantitative research to help us better understand the dynamics of a two-sided marketplace.
• Define and create quantitative metrics that measure the health of the marketplace.
• Work with traditional statistical models, machine learning, NLP, and deep learning models
• Responsible for analyzing data to identify patterns and trends
• Familiar with large structured and unstructured datasets to convert data into usable information
• Continually assess model pipelines, predictive features, and model performance
• Create and maintain database tables and queries
• Help to build and maintain large-scale systems
• Support data quality assurance processes and data validation
• Do research on improving real estate forecasting and help produce it.
• Create a clear benchmark for testing research outcomes.
• Talk to stakeholders to make sure the approach is meeting expectations.

Skills on Resume: 

• Quantitative Research (Hard Skills)
• Metric Definition (Hard Skills)
• Statistical and Machine Learning Models (Hard Skills)
• Data Analysis (Hard Skills)
• Dataset Management (Hard Skills)
• Model Assessment (Hard Skills)
• Database Creation (Hard Skills)
• Stakeholder Communication (Soft Skills)

Job Summary: 

• Support the team on operational topics such as analyzing datasets or extending existing products.
• Performing explanatory data analyses, generating and testing working hypotheses, preparing and analyzing historical data and identifying patterns
• Contributing to research, and trying new techniques or experiments to analyze and interpret data from documents using standard statistical tools
• Maintaining the highest quality standards through the process of identifying and correcting mistakes and inconsistencies in abstracted data
• Analyzing and modeling structured data using advanced statistical methods, algorithms and software needed to perform analyses
• Conducting project work and tests that help make informed product decisions
• Help build an intelligent search engine that connects heterogeneous data sources to provide the unique insights that drive investment decisions.
• Obtain and visualize data on developments in the world of construction technology.
• Assignment to live data exploration and/or modeling projects
• Attachment to an enterprise-level project or product deployment to experience data science in production
• Attachment to distinct data science capability teams or customer-facing teams to deepen domain knowledge
• Responsibility for a part of the data science operations portfolio

Skills on Resume: 

• Operational Support (Soft Skills)
• Data Analysis (Hard Skills)
• Research Contribution (Hard Skills)
• Quality Assurance (Hard Skills)
• Advanced Statistical Modeling (Hard Skills)
• Project Work (Hard Skills)
• Data Visualization (Hard Skills)
• Domain Knowledge (Soft Skills)

Job Summary: 

• Responsible for data analytics, ad hoc requests & dashboard
• Develop systematic trading strategies (statistical arbitrage, multi-factor, etc.)
• Help innovate & develop predictive models and statistically rigorous advanced model scripts to support data science & analytics initiatives on AI, machine learning/ deep learning
• Perform advanced analytics using statistical techniques & algorithms to facilitate effective targeting, segmentation, and identification of opportunities
• Commercialization of insights from data scientists under a customer-centric, need-based context and turn into campaign opportunities for business lines and distribution models
• Create, improve, and maintain reports within Tableau to help other departments unearth insights, find new ways of evaluating performance, and identify trends in the business.
• Work with data experts in the company to monitor and improve forecasting tools.
• Take on other analytical projects as you demonstrate abilities and interest
• Develop machine learning and statistical models
• Perform analytics across large databases of sleep, activity, and health data
• Develop visualizations and tools for understanding and annotating data
• Design and run experiments

Skills on Resume: 

• Data Analytics (Hard Skills)
• Trading Strategy Development (Hard Skills)
• Predictive Model Innovation (Hard Skills)
• Advanced Analytics (Hard Skills)
• Insight Commercialization (Soft Skills)
• Tableau Reporting (Hard Skills)
• Collaboration with Data Experts (Soft Skills)
• Experiment Design (Hard Skills)

Job Summary: 

• Creates machine learning and artificial intelligence communications, trainings, presentations, roadmaps
• Serves the role of technology functional lead and business analyst
• Develops an Enterprise platform for data science to scale data science capabilities across the enterprise
• Work with a team of data scientists to develop and implement novel algorithmic techniques for machine learning applications
• Participate in research-specific topics, provide a summary of the research and detail its application to the host and group
• Assist with Moving the products through the full development process
• Interact with internal and external key stakeholders
• Prioritize workloads and ensure deadlines are met
• Participation in team meetings, SCRUM ceremonies and project planning sessions.
• Code development and presentation of results to management.
• Participate in code reviews and development of unit tests.
• Brainstorming sessions to develop out-of-the-box ideas.

Skills on Resume: 

• Machine Learning Communication (Soft Skills)
• Technology Leadership (Soft Skills)
• Enterprise Platform Development (Hard Skills)
• Algorithm Development (Hard Skills)
• Research Application (Hard Skills)
• Product Development Assistance (Soft Skills)
• Stakeholder Interaction (Soft Skills)
• Code Development (Hard Skills)

Job Summary: 

• Ensure that data flows smoothly from source to destination so that it can be processed
• Utilize strong database skills to work with large, complex data sets to extract insights
• Study and transform data science prototypes
• Take responsibility for designing NLP applications
• Use effective text representations to transform natural language into useful features
• Train the developed model and run evaluation experiments
• Perform statistical analysis of results and refine models
• Extend ML libraries and frameworks to apply in NLP tasks
• Build tools for automating repetitive tasks so that bandwidth can be freed for analytics
• Development of classification, Re-identification and other algorithms
• Optimization of already existing CPU/GPU algorithms/pipelines

Skills on Resume: 

• Data Flow Management (Hard Skills)
• Database Skills (Hard Skills)
• Data Transformation (Hard Skills)
• NLP Application Design (Hard Skills)
• Text Representation Techniques (Hard Skills)
• Model Training and Evaluation (Hard Skills)
• Statistical Analysis (Hard Skills)
• Automation Tool Development (Hard Skills)

Job Summary: 

• Maintain regular communication on project status with team lead, project management, and executive management.
• Work as part of a centralized Data Science function, engaging and interacting with multiple functional areas within the organization.
• Process, manipulate, explore, and generate insights from large engineering and operational data sets across a range of platforms to uncover trends, generate insights, identify anomalies, and train models.
• Support the engineering and product teams to productionize and deploy scalable models and analytic solutions within the framework of Aptiv’s cloud and edge platform.
• Provide engineering insights related to machine operation.
• Deliver a final presentation to leadership covering the project, outcome, and experience.
• Conduct analysis and modeling of complex data sources to discover hidden patterns, forecast KPIs and identify key company/industry trends.
• Assist in the launch of data products and communication of data-driven insights from research.
• Process, cleanse, and verify the integrity of incoming transaction-level data.
• Create enterprise-level end-to-end data flow diagrams and logical data models.
• Develop ML code using Python and learn data visualization using Tableau.

Skills on Resume: 

• Project Communication (Soft Skills)
• Cross-Functional Collaboration (Soft Skills)
• Data Processing and Exploration (Hard Skills)
• Model Productionization (Hard Skills)
• Engineering Insights (Hard Skills)
• Presentation Skills (Soft Skills)
• Complex Data Analysis (Hard Skills)
• Data Flow Diagram Creation (Hard Skills)

Job Summary: 

• Explore new Machine Learning and Deep Learning methods to improve the prediction systems and real-time bidding strategies.
• Mine navigation and advertising datasets and perform sophisticated statistical analysis to identify new relevant indicators and business trends.
• Build predictive models to improve online advertising campaign performance.
• Cross-collaborate with Software Engineers on building models and applying Machine Learning techniques at scale.
• Effectively communicate analysis and findings through interactive visualizations, documents and presentations.
• Write detailed and precise documentation of work.
• Collaborate with operation and business units.
• Follow industry standards and advances in data-driven technologies and tools.
• Contribute to analysis and understanding of existing data model with iterative recommendations on improvement.
• Assess and revisit inventory business logic, calculations and reporting.
• Refactor existing SQL developments, and update related documentation.
• Explore new and useful analytics for the business.

Skills on Resume: 

• Machine Learning Exploration (Hard Skills)
• Statistical Analysis (Hard Skills)
• Predictive Model Building (Hard Skills)
• Cross-collaboration (Soft Skills)
• Data Visualization (Hard Skills)
• Documentation Skills (Hard Skills)
• Industry Standards Awareness (Soft Skills)
• SQL Development Refactoring (Hard Skills)

Job Summary: 

• Instrumental data quality rules and metrics in the system.
• Automated machine learning, including for tabular data or embedded heterogeneous data types (images, text, etc.)
• Sequence modeling, including time series and natural language processing
• Deep generative models, including for tabular data
• Bayesian hierarchical models and optimization
• Data pipeline development, including devising strategies for active/human-in-the-loop learning, semi-supervised learning and online learning, and devising testing and evaluation strategies
• Help the team develop analytics for home heating and cooling equipment
• Help develop energy efficiency reports to help consumers understand energy consumption
• Implement analytics in C# and Azure ML
• Exhibit the Life Where Core Values of accountability, integrity, respect, innovation, and teamwork in all professional dealings
• Improve the process for internal collaboration and with customers
• Complete necessary documentation promptly

Skills on Resume: 

• Data Quality Metrics (Hard Skills)
• Automated Machine Learning (Hard Skills)
• Sequence Modeling (Hard Skills)
• Deep Generative Models (Hard Skills)
• Bayesian Modeling (Hard Skills)
• Data Pipeline Development (Hard Skills)
• Team Collaboration (Soft Skills)
• Documentation Skills (Hard Skills)

Job Summary: 

• Develop and implement databases, data collection systems, data analytics visualizations and other strategies that optimize statistical efficiency and quality.
• Collaborate with the Marketing and IT business intelligence team to drive analytics, give updates to the business, and gain a deeper understanding of the development process.
• Understand tool integrations that bring data into a central location for analysis and help optimize.
• Work on ad-hoc analysis of customer engagement, buyer’s journeys, and campaigns to provide deeper insights.
• Perform analyses on large sets of data to extract actionable insights that will help drive decisions across the business
• Build dashboards and recurring reporting deliverables, empowering creative growth and business decisions.
• Communicate data-driven insights and recommendations to key stakeholders
• Work closely with cross-functional teams of analysts, product owners, marketers, designers, and others across the company who are passionate about Spotify’s success
• Apply creative problem-solving to address data and information needs
• Produce actionable visualizations that identify areas of improvement and display root cause analysis of problems
• Present findings in a professional manner to leaders in the organization

Skills on Resume: 

• Database Development (Hard Skills)
• Analytics Collaboration (Soft Skills)
• Tool Integration Understanding (Hard Skills)
• Ad-Hoc Analysis (Hard Skills)
• Actionable Insights Extraction (Hard Skills)
• Dashboard Creation (Hard Skills)
• Data Communication (Soft Skills)
• Creative Problem-Solving (Soft Skills)

Job Summary: 

• Develop solutions to support analytic insights using mathematical models, algorithms, machine learning techniques and robust analytics
• Apply analytical and business knowledge in real-world settings to solve complex problems
• Access, gather, and analyze data from multiple internal and external sources
• Provide programming support to data science projects and tasks that may include data visualization, predictive analytics, machine learning, and natural language processing
• Apply a wide array of advanced data mining techniques in support of research and operational analytic projects
• Write programs in Python to extract, clean, and format data and to create variables for use in analysis
• Work with Web developers to build intelligence into customer-facing and internal smart applications
• Construct datasets and prepare data files from various sources
• Interpret data outputs and articulate findings
• Use SQL and NoSQL to manage large structured and unstructured data sources
• Build predictive models and machine-learning algorithms
• Collaborate with engineering and product development teams

Skills on Resume: 

• Analytical Solutions Development (Hard Skills)
• Problem-Solving (Soft Skills)
• Data Gathering and Analysis (Hard Skills)
• Programming Support (Hard Skills)
• Advanced-Data Mining Techniques (Hard Skills)
• Python Programming (Hard Skills)
• Data Interpretation (Soft Skills)
• SQL and NoSQL Management (Hard Skills)

Job Summary: 

• Identify user behavioral patterns from an enterprise security perspective by analyzing mobile app usage data.
• Identify actionable information, forecast app and user behavior and influence app development by identifying the app and app feature usage patterns.
• Work together with the engineering team and participate in the software development process using Agile methodology
• Conduct analysis and modeling of complex data sources to discover hidden patterns, forecast KPIs and identify key company/industry trends.
• Assist in the launch of data products and communication of data-driven insights from research.
• Process, cleanse, and verify the integrity of incoming transaction-level data.
• Identify valuable data sources and help with their ETL
• Analyse large amounts of information to discover trends and patterns
• Bring added value by combining various sources of data
• Take initiative and conduct research to suggest and implement solutions for existing challenges
• Undertake processing of structured and unstructured data
• Present information using data visualization techniques

Skills on Resume: 

• User Behavior Analysis (Hard Skills)
• App Usage Forecasting (Hard Skills)
• Agile Methodology Participation (Soft Skills)
• Complex Data Analysis (Hard Skills)
• Data Product Launch Assistance (Soft Skills)
• Data Integrity Verification (Hard Skills)
• ETL Support (Hard Skills)
• Data Visualization (Hard Skills)

Job Summary: 

• Support the Data Management group and overall Health Solutions team through insightful data analysis and the development of analytical reporting
• Tailor analytical/reporting output to be digestible to the audience through the usage of visualization and dashboards. 
• Utilize technical acumen to automate reports over time and eliminate unnecessary manual processes.
• Support the overall effort to modernize and enhance AMA data management architecture. 
• Assist in the development and testing of innovative analytical approaches, including Big Data, AI, machine learning, text analytics, and Natural Language Processing (NLP).
• Assist in vendor integration, data management workflow evaluation and optimization, vendor service level adherence monitoring activities, and requirements gathering around internal data management processes as the effort moves forward.
• Respond to data analysis needs and help deliver data analysis projects through the appropriate choice of front-end error detection and correction, process control and improvement, or process design strategies. 
• Develop testing and processes to ensure data integrity and accuracy of the data, as well as proof of concept matching exercises to vet external data sources and gauge benefit. 
• Follow all processes and procedures and provide documentation on all work.
• Work closely with technology partners to leverage technology tools to the utmost and understand internal data flow and ETL activities between current AMA systems and future platforms.

Skills on Resume: 

• Data Analysis Support (Hard Skills)
• Reporting and Visualization (Hard Skills)
• Report Automation (Hard Skills)
• Data Management Modernization (Hard Skills)
• Innovative Analytical Development (Hard Skills)
• Vendor Integration Assistance (Soft Skills)
• Data Integrity Testing (Hard Skills)
• Documentation Skills (Hard Skills)