• Prepare data pipelines as inputs for exploratory data analysis and modeling tasks
• Data exploration in search of answers to existing and new business questions
• Formalize business and industry problems into data and statistical inference problems
• Find creative ways to use data for strategic advantage and further company objectives
• Collaborate with the data science team on existing problems and projects
• Conduct data science research on areas of interest within the higher education industry
• Recommend improvements in data science procedures and processes
• Partner with business departments to highlight the most impactful data science findings
• Review analysis validation data to ensure results are accurate, valid, and reliable
• Suggest innovative ideas to increase productivity and improve overall impact and experience
• Provide feedback to company management on the internship program and make recommendations to improve this program moving forward

Skills: Data Pipeline Development, Data Exploration, Statistical Inference, Creative Problem Solving, Team Collaboration, Data Science Research, Process Improvement, Analytical Validation

• Works with various business units to understand product and business data and the underlying processes.
• Identify meaningful insights from large data sources, interpret and communicate insights and findings from analyses and experiments to product, service, and business stakeholders.
• Designs, develops, tests, and implements appropriate solutions through data analysis, model development, simulations, and visualization.
• Communicate with the department manager and team regarding the scope and progress of work.
• Ensures compliance with company policies, including Privacy/HIPAA, and other legal and regulatory requirements.
• Conducting analyses of clinical patient and operational data
• Designing and developing visualization tools for analysis results
• Evaluating and implementing algorithms for data analysis
• Creating, documenting, and maintaining code
• Using an issue tracker to manage tasks and track feature requests and bugs
• Presenting analysis results and demoing code to internal teams

Skills: Data Analysis, Insight Interpretation, Solution Development, Stakeholder Communication, Compliance Management, Clinical Data Analysis, Data Visualization, Algorithm Evaluation

• Use mathematical modeling, decision analysis, simulation and machine learning to build the next generation of sustainability analytics and influence decisions through executive leadership and across functions
• Help P&G meet Ambition 2030 goals and have a meaningful impact on the environmental footprint of one of the largest CPG companies in the world
• Communicate complex data or algorithms into simple conclusions that will empower others to act based on the insights you derive
• Apply technologies (data visualization like Spotfire, Tableau and analytic tools like R, Python, SAS, JMP, Hive/Impala, etc.) for solving ad hoc business problems, innovating on potential future solutions
• Working with technology partners to translate the innovations into robust, scaled, analytic solutions
• Belong to an award-winning Analytics/Operations Research community that is global in scope, and operates across P&G’s supply chains
• Prototype state-of-the-art algorithms to power the product portfolio
• Utilize cutting-edge technologies (Spark, AWS Glue, AWS Sagemaker, etc) to process and mine massive data sets
• Research new data science tools and technologies
• Generate high-quality data visualizations
• Drive innovation by contributing new ideas for data, processes, tools, and technologies
• Document business processes and insights

Skills: Mathematical Modeling, Decision Analysis, Machine Learning, Data Visualization, Technology Integration, Algorithm Prototyping, Data Processing, Innovation Development

• Build a holistic understanding of data assets, its customers, the BI data infrastructure & environment, and business goals
• Analyze large data sets to gain an understanding of the data, discover data anomalies, and look for ways to leverage data in support of organizational goals and initiatives.
• Use big data technologies to build predictive systems on big data platforms (Hadoop Ecosystem)
• Analyze and validate data using statistical tools to answer business questions
• Use data to create models that depict trends in diverse data sets
• Perform data manipulations such as data imports, wrangling, exports, and updates
• Assist with data mining, API development and connectivity with 3rd party data vendors
• Explain statistical approaches/models used, rationale/merits of different approaches, results, and interpretation to team members
• Work closely with business teams to identify important questions and answer them with data
• Perform exploratory data analysis to gain a deeper understanding of the problem
• Apply statistical models on large datasets for inferential and predictive purposes
• Design, analyze, and communicate the results of experiments

Skills: Data Analysis, Big Data Technologies, Statistical Validation, Predictive Modeling, Data Manipulation, API Development, Exploratory Data Analysis, Experimental Design

• Develop statistical packages and build UI tools
• Design and develop new solutions to process drill rig data sensor streams to produce the highest standard drilling performance KPIs.
• Design and develop a new script as well as build a database model that can be used to translate complex performance data into usable information that objectively depicts Precision’s rig fleet performance.
• Assist with Selecting features, building, and optimizing the process using machine learning techniques
• Assist in creating automated anomaly detection systems and constant tracking of their performance
• Develop and maintain technical documentation or system workflow using diagrams and/or flowcharts when needed.
• Work with a research and development team with experience in machine learning modeling and signal processing algorithms
• Define and understand problems, research data sources, analyze data, and design solutions.
• Document and support the scientific approach and findings for rigorous internal peer review.
• Present the work in front of an audience with diverse technical and business backgrounds.

Skills: Statistical Package Development, User Interface Design, Machine Learning Optimization, Anomaly Detection, Technical Documentation, Signal Processing, Data Analysis, Presentation Skills

• Proficiency in a data science programming language, preferably Python.
• Experience or ability to quickly learn related technologies such as SQL, Jupyter Notebook environment and an IDE such as RStudio or Spyder.
• Basic knowledge of data cleaning, data exploration, statistical analysis, and visualizations.
• Experience with Microsoft Office tools (Word, Excel, PowerPoint, Outlook).
• Ability to maintain a professional demeanor and strict confidentiality.
• Ability to work independently to complete assigned tasks.
• Must be diligent, organized, and extremely detail-oriented
• Strong written and verbal communication skills
• Experience with Microsoft analytical tools, including Power BI, Excel, VBA, and/or PowerQuery.
• Experience with software and web development

Qualifications: BS in Computer Science Intern with 3 years of Experience

• Exceptional written and verbal communication skills
• Highly organized with a keen eye for details
• Able to prioritize workload and meet competing deadlines
• Eager to learn new platforms and technologies
• Strong interpersonal and collaborative skills
• Able to work independently with minimal supervision
• Focused on using data and customer insights to drive effective processes
• Able to succeed in an ambiguous environment where change is welcomed
• Knowledge of computers to operate effectively with PowerPoint presentations, Excel spreadsheets, and Microsoft Outlook
• Good analytical, conceptual and problem-solving skills to evaluate business problems and apply knowledge to identify appropriate solutions

Qualifications: BS in Mathematics with 1 year of Experience

• A proficient understanding of Python-based Object Oriented Programming
• Experience with software and model engineering concepts such as versioning, model deployment, model retraining, etc.
• Hands-on experience with such Python libraries as Scikit-Learn, Unittest and Pytest, Flask and MLFlow
• Understanding of git workflow and CI/CD.
• Experience in Collaborative and Iterative Development
• The desire for continuous development and learning opportunities
• Strong analytical, organizational, presentation, and time management skills
• Experience using one or more programming languages (e.g., Python, Java, C++, C, etc.).
• Good communicator and capable of working in a fast environment
• Strong analytical, quantitative, and problem-solving skills

Qualifications: BS in Data Science Intern with 4 years of Experience

• Experience in communicating technically, at a level appropriate for the audience.
• Familiarity with statistical modeling, machine learning and/or deep learning modeling
• Knowledge of statistical analysis tools like R or Python
• Knowledge of Databases and SQL programming skills
• Ability to translate business and technical requirements into non-technical terms
• Strong communication and collaboration skills
• Analytical and conceptual thinking skills
• Demonstrate the ability to thrive in a fast-paced environment
• Excellent organizational and time-management skills
• Must be eager to learn, self-motivated, flexible, accountable and can effectively handle multiple tasks at one time

Qualifications: BS in Business Analytics Intern with 2 years of Experience

• Proficiency using Python (with Pandas) and R for data science
• Basic ability to use SQL to query datasets from databases
• Ability to independently apply statistical analysis techniques and think creatively to convey analysis results through visualizations
• Being an effective and proactive communicator, capable of documenting technical and scientific work
• Familiarity with data science techniques and the theory behind them
• Experience with statistical analysis and visualization.
• Experience learning about analytics, statistical or data science academically or through previous internships.
• Must have excellent presentation skills
• Must be creative, collaborative, and product-focused
• Passionate about using knowledge in data science, and machine learning (ML) to deliver insights

Qualifications: BS in Computer Science Intern with 3 years of Experience