Oshkosh Corporation

Principal Data Scientist

Oshkosh Corporation$118K — $211K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Master’s degree in a relevant field such as Mathematics or Statistics.
  • At least five years of proven experience as a Data Scientist.
  • Strong math skills, particularly in statistics and algebra.
  • Experience with statistical analysis in Python or R.
  • Familiarity with machine learning, data mining, and optimization techniques.
  • Proficient in data visualization tools like Tableau or Power BI.
  • Knowledge of big data technologies such as AWS or Azure.

Responsibilities

  • Acquire business knowledge to guide model implementation.
  • Automate data collection processes from various sources.
  • Preprocess both structured and unstructured data.
  • Analyze large datasets to identify trends and insights.
  • Develop machine learning models for operational efficiency.
  • Propose strategies to generate business value through analytics.
  • Collaborate with cross-functional teams to implement data solutions.

Benefits

  • People-first culture fostering team member growth.
  • Opportunities for professional development and mentorship.
  • Access to advanced analytics tools and technologies.
  • Collaborative team environment with diverse functional areas.
Full Job Description

JOB SUMMARY:

The Data Scientist responsibilities include conducting all the steps of the data mining lifecycle with an emphasis on applying their expertise in math, statistics and building machine learning models. They will follow the CRISP-DM methodology. Critical thinking and problem-solving skills are essential, along with a passion for research.  Their role will include mentoring other members of the Advanced Analytics & Insights team. They will be responsible for preparing and delivering the results of their analysis.  The goal will be to help our company utilize data analytics to generate business value.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

These duties are not meant to be all-inclusive and other duties may be assigned.

  • Acquire business understanding and provide guidance and design input for model implementation.
  • Identify valuable data sources and automate collection processes.
  • Undertake preprocessing of structured and unstructured data.
  • Analyze large amounts of information to discover trends and patterns.
  • Build machine learning models and operation optimization (e.g., scheduling, routing, sales optimization).
  • Propose solutions and strategies for business value generation.
  • Collaborate with team members within segments and all functional areas, including sales, operations, supply chain, engineering, product development, finance, HR, etc.
  • Be a thought leader and stay up-to-date in the field of applied data science.

MINIMUM QUALIFICATIONS:

  • Master’s degree in Mathematics, Economics, Computer Science, Information Management, Statistics, Engineering or relevant field.
  • Proven experience as a Data Scientist with at least five years’ experience working in the field of data science
  • Strong math skills (e.g. statistics, algebra) and experience using statistical packages for analyzing datasets (Python, R)
  • Knowledge of and experience with data mining, segmentation, machine learning and optimization techniques.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Knowledge of and experience with data visualization and reporting packages (Cognos Analytics, Power BI, Tableau etc.)
  • Knowledge of and experience with Big Data databases (Azure, AWS, Oracle, NoSQL, etc.).
  • Aptitude for working in a fast-paced collaborative team environment with proven experience as a self-starter and problem-solver.
  • Excellent interpersonal skills as well as the ability to effectively present information and respond to questions from leaders and peers.

PREFERRED QUALIFICATIONS:

  • Experience within supply chain in automotive industry
  • Blockchain in supply chain management
  • Natural Language Processing
  • Deep learning

Pay Range:

$118,700.00 - $211,300.00

The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate's experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success.

About Oshkosh Corporation

Oshkosh Corporation Careers

Join the dynamic team at Oshkosh Corporation, a global leader in the design and manufacture of specialty vehicles and vehicle bodies. With a commitment to innovation, leadership, and excellence, Oshkosh Corporation offers unparalleled job opportunities in a variety of fields. Work You’ll Do At Oshkosh Corporation, you will be part of a team that’s dedicated to making a real impact on the world. Our employees drive our success through their innovation, skills, and leadership. We offer a range of positions across our sectors, providing ample opportunities for professional growth and career advancement. Explore a wealth of job opportunities and internships that allow you to leverage your skills, from engineering to marketing, and beyond. Oshkosh Corporation is not just about hiring employees; it's about nurturing a culture of excellence and diversity. Join Our Market-Leading Team Oshkosh Corporation is renowned for its strong leadership in the industry and a steadfast commitment to innovation and quality. Our team consists of over 15,000 dedicated professionals who lead the way in technology and service. Be part of a company that values diversity and is dedicated to fostering an inclusive environment. At Oshkosh, we believe that diverse perspectives lead to innovative solutions. Our diversity training ensures that all team members are valued and understood. Career Development and Benefits Future-proof your career at Oshkosh Corporation with our extensive professional development and training programs. We support our team members at every stage of their career journey, from internships to leadership roles. Our benefits package is designed to support the well-being and financial security of our employees and their families. Benefits include health insurance, retirement plans, and more, ensuring that our team can grow with us without worries. Networking and Innovation Engage with a global network of professionals that fosters not only career growth but also personal connections. Our collaborative environment encourages networking and teamwork, driving forward our commitment to innovation and excellence. Interview and Resume Tips Prepare for your future with Oshkosh Corporation by utilizing our career resources. Get tips on crafting your resume, acing your interview, and standing out as a candidate. We seek passionate, curious, and solution-driven team players who are ready to take their career to the next level. Stay Connected Join Our Team Search open positions that match your skills and interests at Oshkosh Corporation. We are always looking for innovative and driven individuals to join our team. Explore the exciting and rewarding opportunities that await you. Keep Up to Date Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here. Job Alert Emails Personalize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. Discover the diverse, innovative, and exciting world of Oshkosh Corporation. Join Oshkosh Corporation today and be part of a team that is dedicated to making a difference in the world through leadership, innovation, and a commitment to excellence and diversity.
Learn more about Oshkosh Corporation
Size
15,000 employees
Market Cap
$5.7 billion
Industry
Net Income
$318.3 million
Founded
1917
5 Year Trend
-23.5%
Revenue
$6.7 billion
NASDAQ

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