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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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About Kennametal With over 80 years as an industrial technology leader, Kennametal Inc. delivers productivity to customers through materials science, tooling and wear-resistant solutions.
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As part of EY Americas Data Protection (Confidentiality, Data Privacy) function, you will assist in the development, implementation, and monitoring of various activities within the EY data protection program.
$69,200 - $121,800 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Develop and maintain Excel VBA macros to automate data processing tasks. This role requires proficiency in VBA and Excel for data manipulation and analysis, as well as experience with Power BI for data visualization.
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Statistical analysis experience, including experimental design, regression modeling, and machine learning using tools such as GCP, Adobe analytics, Python, R, Spark SQL and MLlib for custom analysis, in conjunction with SQL for data query and extraction techniques.
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Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, using open-source frameworks (e.g., Scikit learn, TensorFlow, Torch.
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Experience building robust large-scale data pipelines and storage solutions using Python, Pyspark, Databricks, Google/Azure clouds, WCNP, Apache Airflow, and other relevant tools. Data engineering, Data analysis, Data science, Machine Learning, hypotheses & statistical data inference knowledge.
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Experience in understanding Hadoop multiple data processing engines such as interactive SQL, real time streaming, data science and batch processing to handle data stored in a single platform in Yarn.
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Entry Level Background Investigator- Southeast Region Job Category: Service Contract Act Time Type: Part time Minimum Clearance Required to Start: Top Secret Employee Type: Part-Time On-Call Percentage of Travel Required: Up to 25% Type of Travel: Continental US.
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Proven ability to solve enterprise level data operations problems at scale which require cross-functional collaboration for solution development, implementation, and adoption. 6+ years relevant experience in roles with responsibility over data platforms and data operations dealing with large volumes of data in cloud based distributed computing environments.
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Walmart Connect is seeking an experienced data science leader to enable deep insights and capabilities to our clients through advanced analytics and machine learning techniques (e.g. predictive modeling, optimization, segmentation.
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Inspired Food.™ RESPONSIBILITIESRequirement gathering, designing, developing, testing, implementing, and supporting systems and processes related to EDI (Electronic Data Interchange). Knowledge on Mainframe JCL. Experience with reading and writing Cobol.
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Proficiency with SQL and relational databases, data warehouses, and BigQuery. I, Shakib (i3 infotek) would like to share a job opportunity as Data Scientist based in Bentonville, AR (Onsite) location for a Full-time position.
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Data Scientist with LLM models, NLP, GenAI - 6+ Years. Fundamental understanding on the data science parameterized and non-parameterized algorithms. Job Title: Data Scientist. Work closely with other Data Scientists to help with production models and maintain them in production.
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Title: data entry Company: Match Health in Bentonville, AR
FEATURED BLOG POSTS
Recruiting in a Recession: Hard Truths That Talent Acquisition Experts Must Accept
The summer had economists from around the globe embroiled in a debate about a possible recession coming in the next few years (or months). As of October 2022, the U.S. Labor Department data put the current inflation rate at 7.7%. The recent layoffs in the tech industry are just the first of what is soon to be a string of cutbacks by companies looking to save costs. For recruiters, this means freezes in hiring and fewer openings. It will also include the uphill task of finding the best candidates for them from the coming influx of recently laid-off job seekers. Now is probably a good time to brace for tough times in the next few years in the talent acquisition industry. To survive and thrive recruiting in a recession, here are some hard truths you will need to accept.
10 Importancies of Setting Realistic Goals
We’ve all heard how important it is to set professional and personal goals. Developing and establishing goals keeps us motivated and moving forward in life. But not all goals are created equal. If you’re chasing goals that are too lofty, you’ll end up disappointed when you cannot reach them. Setting goals that are achievable and measurable is the key to success.
Email Etiquette Principles - Why is it Important
Why is email etiquette important? Let's imagine you're hiring for a new role, and you’ve just received the email below.
10 Reasons HR is Important to an Organization
"Nothing we do is more important than hiring and developing people."
7 Importances of Organizational Culture and How to Build It
The world of work has drastically changed in the past few years. Where a good salary and a nice office might have been enough to attract talent in the past, employees today expect flexibility, growth opportunities, and a healthy work environment. In fact, 77% of applicants say they’d consider a company’s culture before applying for a job.
Collaborative Recruiting: The Key to a Better Talent Acquisition Strategy
Talent acquisition is a multi-stage process where candidates undergo various application steps before getting hired. The unfortunate reality is that it is a labor-intense system, with the hiring manager and recruiter often handling all of the work on their own. Ask any one of them, and you will hear about the overabundance of applications and the demanding task of filtering through them to find the best candidates. The quality of talent suffers under the weight of all that work on one person's hands. It's not easy, but as many companies are starting to realize, there is a better way. The future of talent acquisition lies in collaborative recruiting!
4 Talent Acquisition Trends Going Into 2023
For better or worse, a side effect of the COVID-19 pandemic was a marked shift in talent acquisition practices worldwide. With the struggle to retain talent that began in 2020, companies have had to rethink recruitment strategies. The result has been new talent acquisition trends that are well on their way to becoming commonplace. These are the practices that are going to become even more widespread going into 2023.