• Define problems and opportunities in a complex business area
• Develop advanced analytics products
• Transform data into valuable information and improve the life of the planet’s growing and aging population.
• Tackle impactful data challenges with cutting-edge technologies.
• Collaborate closely with interdisciplinary functions throughout global teams.
• Generating a database from various structured and unstructured data sets.
• Analysing data to generate a statistical analysis.
• Transforming big data into datasets.
• Translating data into simple language.
• Developing interactive dashboards.

Skills: Problem Solving, Advanced Analytics, Data Transformation, Impactful Insights, Interdisciplinary Collaboration, Database Generation, Statistical Analysis, Interactive Dashboards

• Participate in the process and the methodology definition for the application area of data science in the testing department (Validation Management - ADTV).
• Specify, develop and implement analysis pipelines in order to be able to analyze data in a scalable manner.
• Perform data cleaning, data curation and end-to-end analysis.
• Present results and recommended actions, based on analysis, to various stakeholders.
• Implement and deploy applications and models to provide project-related support.
• Research, design, implement and validate cutting-edge algorithms
• Assess and select modelling techniques and potential data sources to address the given business problem, including analysis of new and existing data sources to determine applicability
• Recommend new opportunities and process improvements around Retail Pricing Segmentation and Customer behaviour insights
• Optimising and automating solutions that utilize Machine learning and OCR
• Design and develop the approach for operational execution of model scoring and the closed-loop feedback paths
• Train and mentor less experienced employees on data science tools and methodologies.

Skills: Data Science, Analysis Pipelines, Data Cleaning, Results Presentation, Model Deployment, Algorithm Development, Process Improvement, Machine Learning

• Understand business problems and suggest data and analytic solutions to support decision makers
• Help develop and transform data sets using a variety of programming languages
• Develop and test analytic hypotheses using established methods
• Create data visualizations that convey a clear story about what is observed in the data
• Design, develop, and validate predictive and explanatory models using a wide variety of models
• Communicate results to a variety of audiences
• Create and develop end-to-end data-driven solutions to support the client's business units
• Measure the impact of the products developed
• Extract data from multiple varied sources and integrate it for analytics and application development

Skills: Business Understanding, Data Transformation, Hypothesis Testing, Data Visualization, Model Development, Results Communication, Solution Creation, Data Integration

• Work with clients throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Produce & deliver valuable insights to clients.
• Work as an active member of an agile squad, in iterations or in a Kanban way, according to prioritized business epics/stories from the product owner.
• Assess the effectiveness and accuracy of established models, adjust or develop new custom solutions.
• Implement new software solutions and assets leveraging diverse programming languages (Python, SQL, JAVA, etc.).
• Support the operation/maintenance of existing production analytics assets and uplift them into a safer continuous delivery framework.
• Work in a continuous delivery way, constantly focusing on automation and security compliance to mitigate potential risks.
• Follow the rules, guidelines and recommendations by the internal regulatory organization and IBM’s Hybrid Cloud service providers, and collaborate with support teams to troubleshoot any production bugs.
• Develop technical skills and knowledge aligned with business strategy.
• Share expertise with the team, the local site and the global IBM community.

Skills: Business Solutions, Insight Delivery, Agile Collaboration, Model Assessment, Software Implementation, Asset Maintenance, Risk Mitigation, Technical Development

• Use statistical methods, machine learning and artificial intelligence models to analyze data and generate useful insight from big data
• Have familiarity with techniques in clustering, regression, optimization, recommendation, neural networks, and other areas
• Determine the best analytical methods leveraging statistical and analytical best practices
• Integrate multiple data sources to tell a story
• Identify, analyze, and interpret trends or patterns in complex data sets
• Review data flow to improve the timeliness and quality of information received
• Support the development of user tools/forms to enhance data input and reporting capabilities
• Generate reports on operational and project-based metrics in a timely manner
• Work internally and with business partners on data anomalies and requests for information
• Work with business partners to evaluate/suggest data reporting enhancements
• Track information for Key Performance Indicators (KPIs) established by management

Skills: Data Analysis, Machine Learning, Analytical Methods, Data Integration, Trend Identification, Data Flow, User Tools, KPI Tracking

• Accountable for devising and implementing a data structure to manage current data flow, considering future needs including working with cloud solutions (e.g. AWS) as well as local solutions.
• Develop new solutions to analyse existing data including analysis based on physics, statistics or a blend of both.
• Propose experimental plans to build or challenge current understanding.
• Provide technical leadership to a group of individuals within the team, defining new data analysis strategies across the whole team requires leading individuals outside of direct line management.
• Work across multiple teams (energy storage research team, machine learning, NPI, IT) to determine and implement data analysis strategy.
• Partner with internal teams in advanced analytics work including experimentation, measurement, modeling, and audience science.
• Identify patterns and behaviors that are effective predictors of performance and critical drivers for a successful media plan.
• Deliver a customer-centric, data-driven approach, based on a people-based marketing strategy to build, segment, and test audiences for the best business results.
• Partner with internal and external teams to build, develop and maintain data pipelines for raw marketing data needs. 
• Ensuring to create “self-serve” capabilities within the team for non-technical users.
• Develop detailed technical end-user documentation and training to ensure all stakeholders align and understand how to build and maintain data infrastructure.

Skills: Data Structure, Data Analysis, Experimental Planning, Technical Leadership, Cross-Functional Collaboration, Audience Science, Data Pipelines, End-User Documentation

• Oversee and facilitate the training of a range of Machine Learning models
• Evaluate the quality of the trained models, using existing and also new measures
• Research and develop new scalable solutions that leverage ML to meet business needs across the globe
• Low accuracy troubleshooting, mis-categorisation issue analysis
• Maintenance and improvement of the existing model development pipeline
• Produce ad-hoc analysis/investigations on the modelling pipeline
• Document parts of the modelling/testing process
• Identify any minor failures that may require preventative maintenance
• Provide detailed reports of system performance
• Explore data, find new relationships and patterns, create and implement new data algorithms in order to
• Create predictive maintenance models
• Improve asset life-cycle, increase vehicle availability and Automate processes

Skills: Model Training, Model Evaluation, Scalable Solutions, Issue Analysis, Pipeline Maintenance, Ad-Hoc Analysis, Predictive Maintenance, Process Automation

• Determines the set(s) of information that can enable proper classification, estimation, and prediction of customer contractual results
• Researches and analyzes user needs with respect to the delivery of data that represents customer health
• Organizes information by translating user behavior into viable experiences through interaction specifications, navigation, information organization, and visuals
• Interacts with and coordinates with other groups and departments to gather applicable information and requirements and to present findings, approaches, and solutions
• Works closely with engineering to deliver results that thrill users and deliver the information in a clean, timely manner
• Develops standards to ensure future compatibility and functionality
• Defines metric, analytics and machine learning models to validate the approach and results
• Define standard rules to analyse vehicle diagnostic data
• Collate & structure remote diagnostic data, system downloads and depot reports for service failures and analyse data in order to
• Identify any failure trends/anomalies and inform the Engineering/Reliability Teams of possible improvements

Skills: Information Classification, User Research, Interaction Design, Cross-Functional Coordination, Result Delivery, Standards Development, Data Analysis, Failure Identification

• Use emerging tools and technology to develop analytical models and lead the effort in mining Media Monitors’ vast data, creating new products and efficiencies in operations.
• Communicate complex solutions to a variety of stakeholders in easily understandable language
• Contributing member of a scrum team that voluntarily accepts work
• Write code that meets standards and delivers desired functionality using agreed-upon technology
• Demonstrate passion about using data assets to optimize systems and products
• Use and extend open-source software to deliver solutions to the company’s business partners. 
• Present solutions and ideas to other team members, IT leadership, and business leaders
• Employ a pragmatic approach to evaluate new algorithms and technologies for positive impact within the company
• Contribute to, and at times be responsible for, the smooth and efficient running of UCAS’ survey data services.
• Maintain and enhance the code essential to the smooth running of an operational survey service.
• Work within a team to design and develop sophisticated new data tools and functionality.

Skills: Analytical Modeling, Stakeholder Communication, Scrum Collaboration, Code Development, Data Optimization, Open-Source Solutions, Survey Services, Data Tools

• Work with business stakeholders to ideate, prototype, build and deploy machine learning projects. 
• Demonstrate the impact of machine learning through increased efficiency and effectiveness of business processes.
• Understand key data sources including sales and sell-through data, data from vendors and online.
• Work with governance teams to help drive the consolidated use of these data sources through effective management and organisation.
• Help embed best practices for working with data in the data science team by judicious use of technology and well-defined ways of working.
• Develop automated tools for measuring data quality.
• Build data pipelines needed for data science applications, and to a limited extent, to support BI and reporting. 
• Work with Global Information Services data services support for broader data engineering requirements.
• Identify and develop opportunities for RPA, working with Sony RPA teams to deliver this service.

Skills: Machine Learning, Business Efficiency, Data Understanding, Data Governance, Best Practices, Data Quality, Data Pipelines, RPA Development

• Experience with SAS, SQL, MATLAB, DataRobot, Python or similar statistical and scripting tools
• Experience developing and validating statistical forecasting models or predictive models 
• Experience interpreting and communicating analytic results to analytical and non-analytical business partners 
• Strong programming skills in Python and/or PySpark and libraries such as Scikit-Learn, Tensorflow, Keras and Spark ML
• Healthcare or managed care experience
• Experience building large-scale forecasting systems
• Experience with clinical claims, Episode Treatment Groupers
• Extensive experience in machine learning with a proven track record of developing and applying advanced computational techniques to solve complex disease problems
• Knowledge of advanced machine learning methodologies such as deep learning, computer vision on radiology or pathology images, and natural language processing
• Experience working with high-performance computing clusters, especially ones designed for AI/machine learning applications, such as AWS

Qualifications: BS in Statistics with 6 years of Experience

• Experience in data analytics, data science, quantitative analysis using statistical computer languages (R, Python, SLQ, etc.) to draw insights from large data sets
• Experience in Python development, delivering production code for data applications
• Demonstrable background of applying known statistical and engineering techniques to solve novel problems
• History of delivering code and statistical solutions for enterprise applications
• Experience with a variety of statistical learning techniques such as decision trees, random forest, logistic regression, clustering, taxonomies, statistical classifications, etc.
• Experience designing and developing for security-critical applications
• Experience with the specifics for HIPAA/PHI/PII/GDPR
• Experience developing data offerings using R Shiny, Plot.ly/Dash or Flask
• Basic experience with Linux is helpful
• Extensive experience with Git
• Knowledge of Agile development practices

Qualifications: BA in Mathematics with 7 years of Experience

• Experience working with open source programming languages (Python, R, Java).
• Experience conducting complex data analysis with big data sets.
• Experience creating analytics dashboards, visualizations, and presentations for diverse audiences.
• Experience and expertise with unstructured and structured data from disparate sources, data ingestion, ETL, data processing, and databases.
• Agile development knowledge and experience working with associated tools, ie. JIRA and Confluence.
• Experience with open source data storage (ElasticSearch, HBase) and AWS Data Stores.
• Experience building/optimizing data pipelines and data flows, NiFi experience
• Familiarity with Common Data Models, such as OMOP CDM from OHDSI
• Experience with SQL and Oracle databases

Qualifications: BS in Computer Science with 5 years of Experience

• Fluent in Python or R and cloud native data science. 
• Experience in working with messy and complex data, understanding key nuances behind its generation and being able to model them with quantitative and machine learning tools to achieve understanding.
• Able to translate complex analyses into insightful visuals and presentations for audiences with a wide range of technical backgrounds.
• Experience with end users, proficient at turning business and scientific questions into testable, clean, and reproducible data scientific workflows.
• Able to rapidly learn new fields and use data science and machine learning to improve decision-making and workflows.
• Experience accessing and manipulating data in SQL or NoSQL database environments
• Experience with scientific scripting languages (e.g., Python, R, SAS) and/or object-oriented programming (e.g., C++, Java)
• Experience with Bayesian statistics, regression analysis (beyond linear regression), supervised learning, unsupervised learning or time-series analysis

Qualifications: BA in Economics with 7 years of Experience

• Experience designing optimization and machine learning solutions for large-scale applications
• Ability to understand and apply advanced mathematics
• Experience working with Predictive Models (Time Series and Regression), Linear Programming, and Classification
• Ability to translate complex data sets and research into simple business recommendations
• Ability to manage multiple projects
• Ability to use collaborative programming tools (Git, Confluence, etc.), and assist and support junior colleague’s use of those tools
• Strong leadership skills and outgoing
• Ability to effectively operate both independently and as part of a team
• Experience with E-com, Retail or startup 

Qualifications: BS in Data Science with 6 years of Experience

• Proficiency with Python or R proficiency working with DataFrames
• Proficiency in writing complex SQL queries
• Proficiency with Machine Learning to solve problems such as clustering, classification, regression, anomaly detection, simulation, and optimization problems on large-scale data sets
• Exceptional communication & collaboration skills to understand business partner needs & deliver solutions
• Ability to ask critical questions about data, results, and business value
• Ability to deliver outstanding results through task prioritization & time management
• Experience with Big Data technologies including Hadoop, Spark, H20.ai, Cloud AI platforms, and containerization
• Experience with supporting deployment, monitoring, maintenance, and enhancement of models
• Experience with data visualization tools including Tableau, R Shiny, Plotly, etc.
• Experience using data to tell a story and influence business decision makers

Qualifications: BA in Business Analytics with 4 years of Experience

• Experience in structuring databases and manipulating large data sets
• Experience in writing code in relevant languages (e.g. Python, Hive, SQL, Java or Scala)
• Experience in marketing analytics and database marketing.
• Experience in supporting personalization strategies for the e-commerce industry.
• Strong Microsoft Excel skills. 
• Ability to code macros in VBA 
• Ability to apply findings to business problems to lift revenue and profits.
• Knowledge of web analytics packages (e.g. Omniture, Coremetrics or Google Analytics).
• Understanding of modern machine learning algorithms, statistical models, or optimization
• Ability to own your modeling work from model development all the way to production deployment and beyond with minimal help from engineers
• Experience with MapReduce, Spark, Hive, HBase, Google BigQuery, and BigTable
• Experience with ML frameworks like Tensorflow, PyTorch, Spark MLlib, XGBoost, and Scikit-Learn

Qualifications: BS in Information Systems with 5 years of Experience

• Experience with at least 1 of the following coding languages (Python, R, C/C++, Java, JavaScript, SQL)
• Excellent written and verbal communication skills
• Strong mathematical and statistical background
• Experience using data visualization software such as Tableau, Kibana, Grafana, D3, Seasborn, ggplot, boken, plotly, etc.
• Experience using statistical computer languages for data manipulation
• Experience using log file analyzers and visualization tools such as Splunk, Elasticsearch, Logstash, and Kibana (ELK), Tableau, Grafana
• Experience creating and using advanced machine learning algorithms and techniques (simulation, scenario analysis, clustering, decision tree learning, artificial neural networks, etc.)
• Experience working with and creating data architectures
• Experience with scaling data products across distributable computing environments including MapReduce, Hadoop, Hive, Spark, SQL, MongoDB
• Experience with Software Development Lifecycle (SDLC) 
• Knowledge of Agile programming methodologies
• Proficiency with Python's scientific computing and machine learning ecosystem such as NumPy, SciPy, Pandas, Matplotlib, and scikit-learn

Qualifications: BA in Cognitive Science with 6 years of Experience

• Experience with data science, data analytics, or management consulting roles
• Experience with machine learning, data mining, statistics, or graph algorithms in academic or internship environments
• Experience with using R, Perl, Python, SAS, or SPSS for the analysis of data
• Experience with client-facing activities and problem-solving
• Ability to obtain a security clearance
• Experience with VBA
• Knowledge of Hadoop, MapReduce, or HDFS
• Knowledge of an object-oriented language, including Java, C++, C#, or Python
• Possession of excellent data gathering, analytical, and problem-solving skills
• Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks
• Ability to lead, work independently as well as play a key role in a team

Qualifications: BS in Electrical Engineering with 5 years of Experience

• Experience as a data scientist in technology, e-commerce, finance, or ad-tech
• Experience in Time Series Forecasting, PCA, clustering, regression and classification
• Proficiency with Tableau or Power BI
• Proficiency with Hadoop/MapReduce/DataBricks
• Proficiency in explaining how a machine learning model works to non-data scientists.
• Good communication and interpersonal skills for working in a multicultural work environment
• Experience in NLP, image processing and/or recommendation systems
• Experience in data engineering, working with big data frameworks like Spark/Hadoop
• Experience in data science for e-commerce and/or OTA

Qualifications: BA in Computational Biology with 6 years of Experience