• Delivering client value through analytics with the use of statistical techniques.
• Understand the client’s operating environment, business strategy, organizational structure, and learning and collaboration approach
• Support Business Intelligence (BI) and Data Warehousing (DW) solutions by leveraging industry standard/ leading analytics platforms
• Accurately translate customer requirements into technical requirements
• Develop an in-depth understanding of underlying data, data structures, and business uses to ensure analytics deliverables meet client needs
• Manage client relationships, demand/pipeline, issue resolution, learning program design, reporting, and new developments
• Work directly with the clients to understand requirements, and propose and develop the best business solution that enables effective decision-making, and drives business objectives
• Partner with the appropriate team to ensure performance and delivery meet SLAs
• Effectively communicate the findings to business stakeholders and clients
• Part of an agile DevOps team, continuously developing, maintaining, and enhancing a big data platform for end users.
• Look for improvements in data processing and querying to enhance the functionality and usability of the system.

Skills: Client Analytics, BI Solutions, Requirement Translation, Data Understanding, Relationship Management, Effective Communication, DevOps Collaboration, Data Improvement

• Work in all phases of building, deploying, and evaluating machine learning applications
• Lay the foundation for new products and services by developing new technical solutions to difficult problems.
• Work in a cross-functional team environment.
• Communicate results internally within Personal System software.
• Mines data using modern tools and programming languages.
• Defines and implements models to uncover patterns and predictions creating business value and innovation.
• Identify AI opportunities, hands-on prototype and iterate models and deploy them across millions of devices.
• Comfortable with hands-on, day-to-day problem solving, implementing quick and effective action plans to meet short-term priorities and emerging opportunities.
• Works with the business and product management to understand the business domain perspective and product vision
• Balance the business needs with technical constraints by building deep subject matter expertise for areas
• Effectively tells stories with the data using visualization tools/methods to demonstrate insight impact and business value.

Skills: Machine Learning Development, Technical Problem Solving, Cross-Functional Collaboration, Data Mining, Model Implementation, AI Opportunity Identification, Business Domain Understanding, Data Visualization

• Conduct exploratory data analysis on both internal (historical GL data) and external (market trends) data and run hypothesis testing to prepare insights on independent skills and predictive hiring
• Design data modeling process, create algorithms and predictive models to develop a forward-looking view of skill cluster demand based on historical consumption & open positions. 
• Design mechanism to incorporate outside-in inputs based on new technologies to tweak forward-looking demand
• Once established, automate the demand sensing ML model to be able to run monthly. 
• Identify re-training frequency, and develop a run-book for re-training.
• Establish a 12-month roadmap for demand-sensing enhancement
• Communicate and confirm findings/hypothesis with Head-TAG, Head – L&D and Delivery Heads
• Document development and deployment process details through reports and artifacts
• Assures accuracy, integrity, and compliance of cleansed data.
• Maintains proficiency within the data science domain by keeping up with technology and trend shifts.
• Leads a project team of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models, accuracy, and data compliance.

Skills: Exploratory Data Analysis, Predictive Modeling, Demand Sensing Automation, Algorithm Design, Data Integrity Assurance, Roadmap Development, Effective Communication, Data Science Leadership

• Manage the extraction, manipulation and presentation of data, develop and present insights and value analysis to drive and guide the Operational and Strategic activity
• Understand, measure and predict the behavior of different customer segments through the use of analytical methods and techniques
• Strategic support in campaigns, namely through an efficient selection of customers
• Develop and maintain collaborative relationships with stakeholders across the organization to identify opportunities for improvement through the use of statistical models
• Develop Whitest ar's analytical capacity and demonstrate how the use of predictive and machine-learning models can help the company respond to business challenges and opportunities in the most efficient and effective way
• Extract value from large data sets and be able to present it visually and intuitively
• Create predictive models that contribute to increased customer satisfaction and billing outcomes, including developing processes to monitor model performance and data quality
• Take responsibility for the management of small and medium-sized projects.
• Collaborate with senior leaders from all functions to identify the right opportunities for using advanced analytics/AI/ML which has an impact on the product objectives
• Scope the AI solution to achieve clear outcomes
• Maintain, support and enhance a big data streaming pipeline and fine-tune the storage, extraction and query of data.

Skills: Data Extraction and Manipulation, Customer Behavior Analysis, Campaign Strategy Support, Stakeholder Relationship Management, Predictive Modeling, Data Visualization, Project Management, Advanced Analytics Collaboration

• Develop software solutions/tools using web technologies by studying requirements, designing the software, developing code, testing and releasing the code
• Software Development in Python (primarily) or C++ utilizing Windows/Linux/QNX for Autonomous OEM customers
• Coordinate workflow between backend/frontend development
• Develop software solutions/tools by studying requirements, designing the software, developing & releasing the code
• Follow the software development lifecycle in an Agile environment to develop source code
• Use software tools like Jira, GIT, unit test tools, Polarian, Pycharm and open-source tools
• Deliver code for a complete full-stack application – front end and backend
• Maintain the team's focus on strategy and goal-oriented results when tackling complex problems.
• Collaborates and communicates with the project team regarding project progress and issue resolution.
• Represents the data science team for all phases of larger and more complex development projects.
• Provides guidance, training, and mentoring to less experienced staff members.

Skills: Software Development, Python Programming, Agile Methodologies, Full-Stack Development, Workflow Coordination, Project Collaboration, Software Tools Proficiency, Team Mentorship

• Experience using either Python or R in a data science and/or research context
• Advanced statistical expertise
• Experience fitting and interpreting a range of models, including GLM, GLMM, SEM, econometric models, and machine learning models.
• Excellent verbal and written communication skills
• Familiarity with the research pipeline and the process of conducting research
• Experience using Object-Oriented Programming systems in R (e.g., S3, S4, RC, R6) or Python
• Experience with the UNIX command line
• Experience with literate programming tools (e.g., Rmarkdown)
• Experience with one-to-one consulting in statistics and/or programming 
• Ability to communicate insights and approaches in a simple, actionable manner 

Qualifications: BS in Information Technology with 4 years of Experience

• Experience working in the utility industry
• Experience with dashboards, business intelligence tools, and visualization solutions
• Ability to come up with solutions to loosely defined business problems by demonstrating pattern detection over potentially large datasets
• Excellent written and oral communication skills and strong interpersonal skills.
• Strong problem-solving ability
• Thrive in a fast-paced environment and be able to work independently.
• Ability to articulate business models and value of offerings
• Willingness to learn other IBM portfolio solutions, including Cloud Pak for Data.
• Professional experience building recommender systems
• Ability to work independently and with team members from different backgrounds 

Qualifications: BS in Statistics with 3 years of Experience

• Experience in using one or more of the following - Pytorch, Tensorflow, Kera, Scikit-Learn, SageMaker, Spark, or R ML libraries.
• Experience working with large datasets and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Proficiency in Linux and AWS
• Strong problem-solving skills with an emphasis on product development.
• Proficient in SQL, and one or both of Python/R.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• The ability to adapt to a rapidly changing environment

Qualifications: BS in Computer Science with 5 years of Experience

• Programming work experience
• Experience with SQL/Relational Databases
• Fluency in JAVA and Python
• Knowledge of UNIX and UNIX-like systems and Git
• Experience normalizing and parsing large data sets
• Excellent communication and presentation skills
• Strong problem-solving skills, ability to analyze complex problems and use a systematic approach in finding solutions
• Ability to write technical documentation clearly and concisely
• Ability to effectively collaborate with product management as it relates to new product releases
• Experience manipulating unstructured data

Qualifications: BS in Data Analytics with 2 years of Experience

• Experience working with health data.
• Experience with distributed data systems such as Hadoop and related technologies such as Spark and Presto
• Experience with databases that power APIs for front-end applications
• Experience developing advanced analytic queries using Spark, MapR, or Splunk
• Experience in the use of SQL, data visualizations, database software and statistical programs.
• Knowledge of statistical analysis, database architecture, data mining and predictive modeling tools and techniques.
• Experience using a wide variety of tools and languages to achieve results (e.g., R, SAS, SPSS, Python, Hadoop, RapidMiner, SQL, Javascript, etc.).
• Ability to complete projects with evidence of creative and critical thinking.
• Ability to communicate findings in a clear, accurate and user-friendly manner.
• Ability to work independently and within a team.

Qualifications: BS in Applied Mathematics with 5 years of Experience