Principal Data Scientist
Cummins Inc.
full-time
Posted on:
Location: 🇺🇸 United States
Visit company websiteSalary
💰 $128,300 - $179,400 per year
Job Level
Lead
Tech Stack
AzureCloudJavaPythonSQL
About the role
- Manage and implement advanced analytics projects which solve complex analytical problems using quantitative approaches
- Develop applications for a Cloud-based environment and data extraction tools from variety of sources applying knowledge of big data technologies including Java, SQL query language and Azure cloud data services
- Research, design, implement and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes by leveraging complex statistical and predictive modeling concepts, machine-learning approaches, clustering, and classification techniques
- Liaise with business stakeholders and leverages knowledge to industrialize and monetize insights from advanced analytics projects
- Utilize knowledge of Data Mining to extract insight from data by identifying relationships and patterns through use of a suite of data exploration and data visualization techniques
- Utilize knowledge of Strategic Roadmap Planning to produce a high-level, multi-year product and capability roadmap
- Lead key objectives and business goals through the use of data science methodology
- Lead Requirements Analysis to evaluate relationships and interdependencies between requirements based upon their complexity and value to the business
- Create algorithms using more complex statistical methodologies through the use of statistical programming languages and tools
- Partner with domain experts to verify model capabilities and translate modeling outputs from statistical inferences into business language
- Apply feature selection algorithms to models predicting outcomes of interest
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods
- Identify relationships and trends or any factors that could affect the results of research
- Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis
- Utilize Agile software development to design, develop and modify software systems using scientific analysis and mathematical models
- Coach less experienced engineers on the implementation of machine learning solutions utilizing data science tools and methodologies
Requirements
- Master’s degree in Computer or Data Science, Business or Data Analytics, or related field and 3 years of experience as a Data Scientist, Data Analyst, IT Consultant or related position
- Alternatively, Bachelor’s degree in Computer or Data Science, Business or Data Analytics, or related field and 5 years of experience as a Data Scientist, Data Analyst, IT Consultant or related position
- Experience with Big data technologies including Java, SQL query language, Python and Azure cloud data services
- Experience with Predictive Modeling; Data Mining; Strategic Roadmap Planning; Requirements Analysis; Statistical modeling; Solution design; Agile software development; Implementation of machine learning solutions utilizing data science tools and methodologies