• Develop predictive algorithms to optimize the student experience and increase successful outcomes
• Interact with the professional services team during new customer implementations
• Configure, train and deploy predictive algorithms
• Create processes to monitor model performance and data accuracy and perform maintenance
• Assess the effectiveness and accuracy of new data sources and data-gathering techniques
• Manage the design and delivery of data visualizations to support internal teams and external customers
• Communicate technical/analytical information verbally and in written reports
• Responsible for translating data into advanced analytics content
• Responsible for generating state-of-the-art data visualizations and appealing customer experiences
• Assist in the development of new analytical product offerings for future clients in the field of media
• Develop sustainable, consumable, accurate, and impactful reporting on models

Skills: Predictive Modeling, Project Management, Algorithm Configuration and Deployment, Performance Monitoring and Maintenance, Data Evaluation and Assessment, Data Visualization, Communication Skills, Analytical Reporting

• Assist with the development of analytics product packages or customer contracts
• Perform research, analysis, and modeling on industry aggregate data
• Responsible for the predictive analytics content results
• Investigate and integrate analytics technology and new data sources
• Keep analytics solutions current in the fast-evolving analytics market space
• Support the development of algorithms or models to optimize operations, maximize sales
• Improve customer service at varied levels of an industry value chain
• Mine and analyze and blend complex and unstructured data sets using advanced statistical methods
• Assist product operations managers and staff in developing and delivering high analytics availability
• Assist in the performance to meet or exceed customer contract service levels
• Drive optimization of Precision Genomics and genotyping partner workflows

Skills: Analytics Development, Research and Analysis, Predictive Analytics, Technology Integration, Market Awareness, Algorithm Development, Customer Service Improvement, Data Mining and Analysis

• Process, analyze, and model data from various sources within a small project team
• Make decisions about data, methodology, and modeling within a project
• Ensure the quality of the outcomes, and discuss progress and issues with the project lead
• Contribute to technical improvements of existing solutions
• Help create Data Visualization dashboards
• Develop automated data ingestion and wrangling algorithms
• Mine, wrangle, and link data from a diverse set of sources
• Implement statistical, machine learning, and related computational algorithms methods
• Solve specific business problems utilizing code (Python, R, Rust, Julia, etc.)
• Build customer-facing reporting tools to share analysis findings, insights, and metrics on business performance

Skills: Data Processing and Analysis, Decision Making, Quality Assurance, Communication, Technical Improvement, Data Visualization, Automated Data Wrangling, Statistical and Machine Learning Algorithms

• Understand and present Business models from Data Ingestion to Visualization
• Collect, analyze, and interpret the data
• Work to become a subject-matter expert on various analytical tools
• Provide analysis and quality assurance reports on transactional data to internal stakeholders
• Create, test, and deploy models that impact new lines of business for the company
• Analyze large amounts of data and other business processes to form ideas and fix problems
• Learn new practices, design iterative development cycles
• Deliver prototypes to internal stakeholders for ML model deployment
• Build full-scale data science models for production
• Perform ad hoc operational requests of internal clients

Skills: Data Analysis and Interpretation, Business Model Understanding, Subject-Matter Expertise, Quality Assurance and Reporting, Model Development and Deployment, Problem Solving, Learning Agility, Prototype Development

• Participate in cross-functional project teams developing analytics-enabled solutions
• Owns and manages assigned tasks
• Work on problems of limited scope/complexity, following standard practices and procedures
• Develop the ability to generate relevant, actionable insights based on iterative data analysis
• Translate the data-driven output into business language
• Make appropriate recommendations to respective business stakeholders
• Provides analysis on datasets of moderate complexity
• Communicate results of cases of limited complexity to more senior data scientists and business partners
• Share information and provide rationale behind ideas
• Build stable working relationships with cross-functional peers

Skills: Cross-Functional Collaboration, Task Ownership and Management, Problem Solving, Data Analysis, Business Acumen, Recommendation Making, Data Analysis Proficiency, Communication and Relationship Building

• Strong statistical knowledge such as regression, time series, mixed models, etc.
• Working experience with large-scale, real-world problems in data science
• Deep learning modeling experiences such as CNN, RNN, LSTM, and frameworks
• Demonstrated excellent communication and organizational skills
• Be comfortable speaking with scientific and business audiences at all levels of an organization
• Basic understanding of programming languages for analytics
• Positive attitude, communication, creativity, problem-solving
• Fast learner, teamwork, and self-motivated
• A passion for working with people across the regions
• Adaptable to rapidly changing requirements, deadlines, and requirements
• Familiarity with prominent visualization libraries

Qualifications: BS in Computer Science with 5 years of Experience

• Proven experience as a Data Scientist, Statistical Modeling, AI/ML, and Operations Research
• Able to develop hypotheses and validate/test with data
• Experience in regression, classification, time series modeling, tree-based modeling, and NLP
• Knowledge of SQL and Python
• Must have an analytical mind and business acumen
• Must have strong math skills (e.g. statistics, algebra)
• Problem-solving aptitude and detail-oriented
• Excellent communication and presentation skills
• Knowledge of Computer Science, Engineering, Data Science, or another quantitative field
• Expertise in Machine Learning and Natural Language Processes
• Experience using cloud platforms like Azure, AWS, and GCP

Qualifications: BA in Statistics with 4 years of Experience

• Working experience with mathematics, statistics, or actuarial science
• Previous experience in the data science field
• Experience using statistical computer languages (R, Python, SLQ, etc.)
• Strong background in data mining, data transformation, and modeling skills
• Strong verbal/written communication skills
• Ability to work independently and in a team (including cross-functional teams)
• Practical experience in data mining algorithms, and statistical modeling techniques
• Understand of clustering, classification, regression, decision trees, neural networks
• Knowledge of anomaly detection, sequential pattern discovery, and text mining
• Familiarity with large structured, semi-structured, and unstructured data
• The ability to interact with a variety of customers and stakeholders

Qualifications: BS in Information Technology with 6 years of Experience

• Coursework or practical experience with data mining and building algorithms
• Experience in the evaluation of data sets work products involving data analysis and research
• Proficient computer skills (the use of Microsoft Office products or equivalent software)
• The ability to learn corporate software programs
• Basic analytical, data mining, data modeling, and data management skills
• Ability to utilize data to drive strategic business directions
• Practical ability to visualize data
• Able to communicate effectively about data, and utilize data effectively
• Strong problem-solving and logical skills
• Ability to think creatively and self-motivated

Qualifications: BS in Data Science with 2 years of Experience

• Knowledge of analytics and statistics such as Econometrics, Technical/Applied Mathematics
• Excellent understanding of statistics and econometric modeling
• Strong communication and presentation skills, with a keen eye for detail
• Must have strong technical skills, and coding experience (Python)
• Knowledge of probabilistic programming or Bayesian modeling techniques
• Interested in the media landscape and quantitative marketing
• Work well both as part of a team and as an individual contributor
• Ability to work with minimal direction
• Must have the ability to coordinate complex activities
• Meticulous attention to detail, self-motivated
• Some exposure to a range of business intelligence and analysis tools

Qualifications: BS in Mathematics with 3 years of Experience