| Company: | CATERPILLAR |
|---|---|
| Job Role: | Senior Data Scientist. |
| Experience: | (1-3 years). |
| Vacancy: | 30+ |
| Qualification: | BCA, MCA, Ph.D. or related skills. |
| Salary: | $ 167,800/year. |
| Location: | Atlanta, Georgia, Irving, Texas - USA. |
| Join us on Telegram | Click Here |
| Apply Mode: | (Online) |
| Deadline: | Not Mentioned |
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Caterpillar Inc. has been helping customers build a better world since 1925 - enabling sustainable progress on every continent. Caterpillar Inc., with revenues and sales of $41.7 billion in 2020, is the world's leading manufacturer of construction and mining equipment, diesel and natural gas engines, industrial gas turbines, and diesel-electric locomotives. Our business operations span every continent, with three main segments - Construction Industries, Resource Industries, and Energy & Transportation - and a Financial Products segment that provides financing and related services.
JOB DESCRIPTION:
Your Work Shapes the World
Whether it be groundbreaking products, best in class solutions or creating a lifelong career, you can do the work that matters at Caterpillar. With a 95-year legacy of quality and innovation and 150 locations in countries around the world, your impact spans the globe. When you join Caterpillar, you are joining a team of makers, innovators and doers. We are the people who roll up our sleeves and do the work to build a better world. We don’t just talk about progress and innovation. We make it happen. And we are proud of that because it helps our customers build and power the world we live in – the roads, hospitals, homes and infrastructure. Without a dedicated workforce Caterpillar could not effectively meet our customer’s needs. Join us.
Description:
Caterpillar uses quantitative methods such as business simulations, data mining, modeling, and advanced statistical techniques to solve problems. The Senior Data Scientist contributes to this mission by acting as the technical lead of analytics project teams tasked with solving problems of low to medium complexity or business impact. In addition, analytics experts also provide assistance to high-profile enterprise-wide projects such as the Engineered Value Chain. The principal responsibility of Senior Data Scientist is to move from being an individual contributor on analytic teams to acting as the technical lead on such teams. He or she will participate on cross-functional project teams, provide overall guidance to the technical direction of the project, and mentor Jr Data Scientists on the technical approaches being used in order to solve a problem presented by a Caterpillar Business Unit or Service Organization, a Caterpillar Dealer, or a Caterpillar Customer.
Significant challenges of this position are working with people; enhancing the team’s creativity; maintaining knowledge of approaches used in similar projects; and pushing the technical bounds of experimentation while meeting customer commitments. The Senior Information Scientist acts as overall technical lead for the team in establishing a sound analytic approach for solving the problem at hand. The incumbent will develop good networks within the technical community to enable them to collaborate on technical solutions, obtain resources and cooperation needed, and remove roadblocks so that they can ensure the success of their team. The Senior Data Scientist reports to a Center of Excellence Manager and bears primary responsibility for solving the business problem presented through applied analytics.
Basic Requirements:
- Fields of study include computer science, business, mathematics, economics, statistics, engineering or in a related field
- 4-year degree from an accredited college or university & 6-9 years of business insights and visualization experience
OR
- Master’s degree & 4-6 years of business insights and visualization experience
OR
- PhD & 1-3 years of business insights and visualization experience
Top Candidate Will Also Have:
- Experience with Agile framework for project management methodologies and demonstrated strong abilities in data visualization tools such as Power BI.
- Identify and merge data sources to provide a safe source for reporting
- Demonstrated proficiency in SQL and Snowflake to extract, transform, and load (ETL) data.
- Create user-friendly tools to enable data-driven decisions by leadership.
- Experience with cloud
- Experience with solution integration or solution architecture practices, IT operations, & data governance
- Experience with Data mapping, integration, and transformation to a data warehouse
- Coordinate with internal stakeholders to deploy data science models into production and monitor their performance
- Perform data related tasks which could include data analysis, data quality, user access management, and troubleshooting of data issues
- Programming experience in Python, R, or SAS
- Experience in data modelling principles/methods including conceptual, logical, and physical data models.
- Familiarity with DevOps systems, such as GitLab
- Broad experience building different types of advanced analytic solutions, including some of the following: time series analysis, cluster analysis, tree-based algorithms, generalized linear models, or neural networks.
- Train and validate predictive models using a range of Machine Learning algorithms to support targeted customer
- Support the building of tools to automate data collection and model multidimensional datasets
- Ability to clearly communicate vision and complex technical ideas, data science initiatives and insights to all levels of users within the organization.
Employee benefit details:
Our goal at Caterpillar is for you to have a rewarding career. Our teams are critical to the success of our customers who build a better world. Here you earn more than just an hourly wage, because we value your performance, we offer a total rewards package that provides day one benefits (medical, dental, vision, RX, and 401K) along with the potential of a monthly bonus. Additional benefits include paid vacation days and paid holidays (prorated based upon hire date).
Final details
Please frequently check the email associated with your application, including the junk/spam folder, as this is the primary correspondence method. If you wish to know the status of your application – please use the candidate log-in on our career website as it will reflect any updates to your status.
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