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Benefits: Volt offers benefits (based on eligibility) that include the following: health, dental, vision, term life, short term disability, AD&D, 401(k), Sick time, and other types of paid leaves (as required by law), Employee Assistance Program (EAP). Volt is an Equal Opportunity Employer and prohibits any kind of unlawful discrimination and harassment. Volt is committed
to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment on the basis of race, color, religion or belief, national origin, citizenship, social or ethnic origin, interaction, age, physical or mental disability, veteran status, marital status, domestic partner status, interactionual orientation, or any other status protected by the statutes, rules, and regulations in the locations where it operates.
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mechanical components of gear-driven equipment produced for the mining industry in accordance with Company and MSHA guidelines. Basic disassembly and cleaning: - Ability to work off of verbal and written instructions - Safely remove motors, tunnel housings, fluid couplings, and prep equipment for cleaning and rebuild - Ability to operate or learn to operate overhead crane, forklift, and Bobcat - Use hand and pneumatic tools and hand torch - Disassemble equipment working with tech I or II, or with supervisor - Thoroughly clean and prep parts for assembly - Paint equipment and prep for shipping Basic assembly: - Read Prints for disassembly, inspection and assembly - Basic understanding of hydraulics
and electro hydraulics along with the ability to read schematics/diagrams - Capable of understanding and performing all that is required to remanufacture components and perform final testing - Ability to perform basic trouble shooting (hydraulic, electronic sensors, mechanical) - Understand Math- (Arithmetic, basic Trigonometry, decimal conversion) - Ability to use various types of precision measuring tools Degrees or Other Special Requirements : Education and Experience: - High School diploma or General Education Degree (GED) is required.
- Qualification to operate fork trucks/tow motors is required. - Familiarity with overhead cranes is preferred. - Two or more years of experience in
a mechanical field is preferred. - Completion of a formal apprenticeship program or trade school is preferred.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, interaction, national origin, disability status, protected veteran status, or any other characteristic protected by law.
ways to beautify and bond, and do it all with not only confidence but determination. Position Summary: The Data Scientist role will be responsible for building net new data science models to enhance the analytical capabilities for NA Commercial organization.
This person will play an integral role in building and executing against the data science objectives end-to-end to support revenue growth, profitability, and white space opportunities. This individual should have a strong data science skillset, but also the ability to see the bigger picture of how model results translate into actionable business recommendations. Additionally, this person must be a self-starter and capable of taking
full ownership of the development and deployment of data science projects with autonomy. The role will be interacting with several cross functional teams across the Brand, Growth Strategy, and IT.
This role will be breaking new ground for the broader organization, requiring the ability to be the subject matter expert on data science for the business. Accountabilities Own the building and deployment of Marketing Mix Models to support Edgewell’s brand objectives; Also will entail data management and dataset construction Improve and scale retail store-level POS (consumption) based forecasting models by leveraging big data and machine learning, supporting North America and customer specific
objectives Create a standardized framework and automated procedures for model refreshes with extensive documentation Consult business teams on measurement model requirements, capabilities, and results as well as provide recommendations on how to best leverage model outputs Monitor, manipulate and analyze datasets from a variety of sources to identify opportunities and optimization recommendations Present and effectively communicate data and insights to internal teams providing supporting evidence for recommendations Stay close to industry trends and tech developments to support the continuous improvement of Edgewell’s analytics approach Required Education, Skills and Experience Bachelors or Master’s degree (mathematics/statistics, data science, or computer science) Strong data science skills including the ability to analyze & clean raw data, develop & deploy models, and build recommendations that are focused on business impact and performance 2+ years of professional experience working in data analytics and/or data science Desirable Education, Skills and Experience Experience working in a complex, dynamic organization and driving high impact projects from beginning to end Experience using ETL (extract, transform, load) tools and experience with large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action Strong experience with deployment of machine learning and deep learning models in production Preferred experience working with marketing data Strong experience with cloud based ML frameworks (Snowflake, Azure, AWS preferred) Strong proficiency with Python and SQL Strong proficiency with Github and MLOps Working Relationships The Data Scientist will be required to build relationships and demonstrate value across several cross functional teams including Brand Marketing, Sales, Growth Strategy, and IT.
Work Environment Some travel may be required. The salary range for this position is $80,000 - $120,000. The actual base salary offered to a candidate may vary based upon factors including, but not limited to, relevant experience, time in role, base salary of internal peers, prior performance, business sector, and geographic location. In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance. #LI-AC1 Edgewell is an equal opportunity employer.
We do all we can to create a collaborative and diverse global team, where good ideas can thrive, and our colleagues can learn and lead. We prohibit discrimination based on age, color, disability, marital or parental status, national origin, race, religion, interaction, interactionual orientation, gender identity, veteran status or any legally protected status in accordance with applicable federal, state and local laws. We listen deeply and speak directly to create an environment that’s open to difference. We aim to bring joy to not only the products we create and the people we serve, but our colleagues across the globe too.
