As a family company, we serve people and communities. When you work at Meijer, you’re provided with career and community opportunities centered around leadership, personal growth and development. Consider joining our family – take care of your career and your community! Meijer Rewards * Weekly pay * Scheduling flexibility * Paid parental leave * Paid education assistance * Care.com/back-up care assistance * Team member discount * Development programs for advancement and career growth Please review the job profile below and apply today! The Data Science team at Meijer leads the strategy, development and integration of Machine Learning and Artificial Intelligence at Meijer. Data Scientists on the team will drive customer loyalty, digital conversion, and system efficiencies by delivering innovative data driven solutions. This role works directly with product development, merchandising, marketing, operations, ITS, ecommerce, and vendor partners. **Position follows hybrid schedule: Monday-Wednesday in office, Thursday-Friday remote.** What You'll Be Doing * Deliver against the overall data science strategy to drive in-store and digital merchandising, marketing, customer loyalty, and operational performance * Partner with product development to define requirements which meet system and customer experience needs for data science projects * Partner with Merchandising, Supply Chain, Operations and customer insights to understand the journey that will be improved with the data science deliverables * Deliver end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet partner needs * Partner with product development and technology teams to deploy pipelines into production MLOps environment following Safe Agile methodology * Drive adoption and usage of analytical products and models * Anticipate future business needs and identify opportunities that make substantial difference for organization, and lead the development of analytics initiatives * Responsible to define, document and follow best practices for ML/AI development at Meijer * Own communication with data consumers (internal and external) to ensure they understand the data science products, have the proper training, and are following the best practices in application of data science products * Define and analyze Key Performance Indicators to monitor the overall health and measure value of the data products * Identify and scope, in conjunction with IT, the architecture of systems and environment needs to ensure that data science systems can deliver against strategy * Build and maintain relationships with key partners, suppliers and industry associations and continue to advance data science capabilities, knowledge and impact * This job profile is not meant to be all inclusive of the responsibilities of this position; may perform other duties as assigned or required What You'll Bring With You * Advanced Degree (MA/MS, PhD) in Mathematics, Statistics, Economics, or related quantitative field * Certifications: Azure Data Science Associate, Azure AI, Safe Agile * 4+ years of relevant data science experience in an applied role – preferable w/in retail, logistics, supply chain or CPG * Demonstrated strength in using: Python, Databricks, Azure ML, Azure Cognitive Service, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch, AutoTS, Prophet, NLTK * Experience with Azure Cloud technologies including Azure DevOps, Azure Synapse, MLOps, GitHub * Experience working with large datasets and developing ML/AI systems such as: natural language processing, speech/text/image recognition, supervised and unsupervised learning models, forecasting and/or econometric time series models * Proactive and action oriented * Ability to collaborate with, and present to internal and external partners * Able to learn company systems, processes and tools, and identify opportunities to improve * Detail oriented and organized * Ability to meet production deadlines * Strong communications, interpersonal and organizational skills * Excellent written and verbal communication skills * Understanding of intellectual property rights, compliance and enforcement

Predictive pricing is a pricing strategy that uses artificial intelligence (AI) to optimize product pricing based on market demand and competition. It involves using data analytics and machine learning algorithms to analyze market trends and consumer behavior, and then using this information to set prices that are likely to maximize profits. One of the main benefits of predictive pricing is that it allows businesses to be more reactive to market conditions. By using AI to continuously monitor and analyze market data, businesses can quickly adjust their prices in response to changes in demand or competition. This can help them stay ahead of the curve and remain competitive in a rapidly changing market.

As a Data Scientist, you will lead the charge on building our data science infrastructure and driving insights that lead to step-function improvements in how we operate. We handle millions of tasks for businesses looking to scale their ML development, and we're looking for a talented data science leader to help us understand it all in the service of building better products. In this role, you will apply statistical models, design and interpret experiments, build mission-critical dashboards, and help structure and order our data in the pursuit of transparency over how we operate and how we can improve. Ensure product areas are performing in line with our high expectations and be able to identify, diagnose, and recommend projects to improve our performance. Identify operational efficiencies to the business that will enable Scale to continue growing sustainably.

With food at the core of the business, Glovo delivers any product within your city at any time of day. Our vision and ambition are not only to give everyone easy access to everything in their city, but it is also to offer our employees the job of their lives. A job where you'll be challenged and have the most fun working in through tech-enabled experiences. Your work-life opportunity: Glovo is looking for a Business Analyst for the Global Partner Operations team. You will join a team of project managers and fellow analysts aiming to deconstruct operational performance of our Partners and deploy creative solutions to ensure a great experience for Glovo customers.

There is no doubt that artificial intelligence (AI) and machine learning (ML) is becoming a hot topic within the fintech industry. At almost every seminar and conference, we are hearing about the rise of these emerging technologies and the potential they have to disrupt businesses. It's clear that AI and ML is a blueprint within which the fintech industry is operating. However, what is apparent is that no matter how much fintechs bang the drum of the impact of AI on enterprises, it still remains underutilized by many companies due to their inability to visualize, integrate and adopt these new technologies. Recently, there has been a great deal of conversation across multiple industries around the potential of these technologies, but according to research by Accenture, 87 percent of business leaders in the UK are struggling with how best to adopt it.

Actor and equality campaigner Geena Davis has announced that Disney has adopted a digital tool that will analyse scripts and identify opportunities to rectify any gender and ethnic biases. Davis, founder of the Geena Davis Institute on Gender in Media, was speaking at the Power of Inclusion event in New Zealand, where she outlined the development of GD-IQ: Spellcheck for Bias, a machine learning tool described as "an intervention tool to infuse diversity and inclusion in entertainment and media". Developed by the University of Southern California Viterbi School of Engineering, the Spellcheck for Bias is designed to analyse a script and determine the percentages of characters' "gender, race, LGBTQIA [and] disabilities". It can also track the percentage of "non-gender-defined speaking characters". Davis said that Disney had partnered with her institute to pilot the project: "We're going to collaborate with Disney over the next year using this tool to help their decision-making [and] identify opportunities to increase diversity and inclusion in the manuscripts that they receive. We're very excited about the possibilities with this new technology and we encourage everybody to get in touch with us and give it a try."

Consumers today enjoy new levels of shopping convenience, brought to them by the rise of click and collect, home delivery and subscription models. Channel blurring, or consumers moving purchases of a product to alternative channels, has had a noticeable effect on where consumers shop, what products manufacturers and retailers sell, and how they sell them. According to IRI, online sales of consumer packaged goods rose 35.4% in 2018, with more than half of purchases coming from pure-play online retailers. Thus, in order to remain successful, CPG companies must be able to quickly and accurately identify opportunities for growth beyond traditional store formats. Technology powered by artificial intelligence can better understand where consumers are shopping, as well as their purchase preferences and habits, in order to optimize a CPG's approach to marketing and promotions.

Across many industries, innovators are looking at machine learning as a solution for bringing their organization to the next level of productivity. Many organizations have already adopted machine learning and artificial intelligence solutions and are reaping the rewards. In my experience working with retail companies, those that have implemented AI solutions have an overall greater awareness of business practices and have been more successful at making important and difficult decisions effectively. To operate successfully, retailers encounter and must make thousands of decisions every day, from creating a new product to its placement in a store and, ultimately, to protection of revenue through asset monitoring. There's a simple way to make sense of retail and consumer goods companies' data and enjoy the best business rewards, and it starts with understanding AI solutions. It can be used to help retailers make more effective business decisions.

Artificial intelligence (AI) is already changing the business of law. Many firms are adopting the rapidly expanding suite of AI-powered tools to help their legal practitioners improve client relationships and deliver better outcomes. The burgeoning legal tech industry is putting an ever-expanding suite of AI-powered tools in the hands of law firms. Most tools are currently focused on lifting the burden of document review, analysis and research off your shoulders. Like all legal tech solutions, the goal of AI-powered tools is to offer lawyers new ways to facilitate the just, quick and cheap resolution of disputes and respond more appropriately to client needs.

Get cost optimization recommendations based on your spend with secure read-only unintrusive access. In minutes, identify opportunities - right-sizing, reserved instance planning, idle/orphaned resource insights, for continuous cost optimisation. Get cost optimization recommendations based on your spend with secure read-only unintrusive access. In minutes, identify opportunities - right-sizing, reserved instance planning, idle/orphaned resource insights, for continuous cost optimisation.