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Design and deliver solutions to support real-time factory data streaming, condition monitoring, and predictive maintenance. With nearly $3B in annual retail sales, fairlife's portfolio of delicious, lactose-free, real dairy products includes: fairlife® ultra-filtered milk ; Core Power® High Protein Shakes, a sports nutrition drink to support post-workout recovery; fairlife® nutrition plan™ , a nutrition shake to support the journey to better health.
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Support a wide range of functional responsibilities critical to overall business operations, including sales forecasting, predictive analytics/modeling, lead scoring, retention strategy, pricing strategy, fan research and customer segmentation.
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Integrate machine learning models into backend services to solve complex business problems and enable predictive analytics. Strong knowledge and practical experience in AI technologies, such as machine learning, natural language processing (NLP), and computer vision.
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Proven experience with machine learning models for time-series forecasting, predictive analytics, and optimization. Role Overview: As a Staff Machine Learning Engineer focusing on forecasting and optimization, you will design models to forecast offer performance and optimize offer structures.
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3+ years of experience in predictive modeling, advanced analytics, or data analytics preferably in property/casualty insurance, reinsurance, or consulting. This role will help drive our Pricing and Predictive Analytics offering.
$115,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Responsible for the development, implementation and day to day supervision of maintenance systems, processes and documentation associated with efficient and High Performing Manufacturing Organizations (Prevention and Predictive Maintenance, TPM, SOP's, Safety, etc.
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Predictive modeling and forecasting experience. Strong data visualization experience – Tableau, Power BI, etc. Predictive modeling and forecasting experience. SQL, python, or SAAS experience for data extraction.
$115,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Perform annual reviews of preventive and predictive maintenance programs. Review predictive maintenance data for trends. As a CBRE Maintenance Planner, you will provide building maintenance and office administration support to company managed buildings.
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Driven by empathy and powered by AI and predictive analytics, Guidehealthleverages remotely-embedded Healthguides™ and a centralized Managed Service Organization to build stronger connections with patients and providers.
$20 an hourFull-timeRemoteExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Bachelor's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines and 5 or more years experience in predictive analytics or equivalent.
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You should be familiar with predictive modeling, statistical hypothesis testing, cluster analysis, and text analytics (like sentiment analysis and topic modeling). Experience with data visualization tools, like Tableau (which we use), Power BI, or Looker.
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3+ years of experience in Data Science positions, building predictive models. Build predictive models to assist in data driven decision making. This fully remote role brings the opportunity to be consulting with some of the US largest Financial Service companies on their data initiatives.
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Candidate will work on a variety of projects, including predictive modeling, data mining, and natural language processing. Power BI and other Azure tools Design and implement experiments to test hypotheses and improve model performance using Azure Machine Learning Develop and maintain predictive models to support decision-making processes using.
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Leverage predictive analytics and community-level performance data to prepare for on-site community visits. 5+ years of experience for this dynamic role could include: multi-family asset management, strategic planning, market analysis, senior living operations, private equity, hospitality operations, health care real estate, banking, management consulting, strategic project management, or sales operations with solid business acumen.
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predictive job Company: Techflow in Chicago, IL
FEATURED BLOG POSTS
A Potential TikTok Ban?!
As you may already know, there has been a lot of talk lately about the possibility of a TikTok ban. While this has not yet come to fruition, it's important to consider the implications this could have for businesses and recruiters who rely on TikTok as a platform to market their brand, recruit new talent, and connect with their audience.
The Effects of Workplace Racism and Sexism
One day it's a covert statement to a mother returning to work after maternity leave. Another day it's a lingering gaze at an employee enjoying a culturally rich meal. These microaggressions (or sometimes macroaggressions) can take an employee from a confident, high-performer to one that feels insecure being themselves at work. Your employees engage with people with different ideas and feel most comfortable and valued when they can work without losing their cultural, racial, and gender identity. While most employers know this, why have workplace racism and sexism often been neglected?
When Rage Applying Strikes: How to Identify Unserious Candidates
As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
How to Increase Job Ad Exposure
In today's competitive job market, writing quality job ads is critical for attracting top talent to your organization. While networking and candidate referrals are prime real estate for finding qualified candidates, nothing beats the tried-and-true method of writing an extraordinary job ad. But while writing a great job ad is the first step, what's more important is increasing visibility. You could have the most detailed, well-written ad on the internet, but if no one sees it, then you are wasting time (and potentially money!). Employers often believe that job boards are the root of the problem, but you can learn how to increase job ad exposure by tweaking a few steps of your recruitment process.
How to Navigate Hiring Out of State
The job market has shifted significantly in recent years. The accelerated adoption of technology has not only pushed many companies into remote working arrangements but also increased the availability of supporting tools and technologies (i.e., video conferencing and collaboration software).
Building a Candidate Pipeline Through Internships
Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.
Hiring Transparency
Transparency in hiring refers to the open and honest communication and information sharing that takes place between employers and job candidates. It encompasses all aspects of the hiring process, from posting job descriptions to providing feedback on performance during and after the interview process. In today's job market, hiring transparency has become increasingly important for both employers and candidates alike.