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Life Insurance Sales RepresentativeWe are looking for individuals interested in working from home, remotely, as life insurance sales representatives. We are hiring coachable individuals comfortable wi
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You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent). We’re hiring a mid-to
Maintain and improve data pipelines in Microsoft Fabric, including Data Pipelines, Dataflows, and Notebooks, to keep data flowing reliably across the business. Python and/or PySpark experience for data work, including pandas, scripting, API calls, and automation. Our data platform is already built o
Provide subject matter expertise in data modeling, ETL architecture, semantic layer design, and analytics lifecycle best practices to shape and transform data from D365 F&O and Azure Data Lake into optimized structures for enterprise analytics. Partner with IT, Data Engineering, and Infrastructure t
Market Development RepresentativeAs a Market Development Representative, you will be a key partner to bustling off-premise locations (grocery stores, convenience stores, and liquor stores) to achieve
Manage emails, schedule tasks, work from home, and earn steady pay on your time.
- Remote / Nationwide U.S. - - As a FT Call Center/Customer Service Rep [Work From Home], you will: Handle incoming calls and inquiries from customers in a professional and courteous manner; Provide
We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. You will design the logic, algorithms, and strategies that transform many independent datasets into a unified, high-quality canonical asset used throughout the com
You will design and ship predictive models and data products, improve the quality and interpretability of existing models, and deliver high-confidence, repeatable intelligence that fuels our MedTech-specific modules. The compensation offered for this role will be based on multiple factors such as lo
[Call Center / Remote] - Anywhere in U.S. / Competitive pay / Medical, dental vision / 401k / PTO - As a Customer Service Rep at Knipper Health, you will: Promote meaningful relationships and brand l
Hiring cashiers, warehouse, & customer service. $22/hr+ based on experience.
The senior statistical programmer will gather and interpret user requirements for programming requests, retrieve required data, transform data into analysis/modeling datasets, and develop tables, listings and figures according to statistical/modeling analysis plan. Effective knowledge and experience
Fresha allows consumers to discover, book and pay for beauty and wellness appointments with local businesses via its marketplace, while beauty and wellness businesses and professionals use an all-in-one platform to manage their entire operations with an intuitive business software and financial tech
To strengthen our data foundation and unlock greater value from our data and machine learning models. Marketplaces Data and AI team work on components related to users, listings and marketplace which are foundational to Airbnb, and the quality of their data is critical to the success of our products
Sales Executive Banking Financial ServicesWe are seeking an experienced Sales Leader to drive new logo acquisition and revenue growth across Banking Financial Services (retail banking, commercial b
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Utilize tools for continuous integration and continuous deployment (CI/CD), and Infrastructure as Code (IaC) like Terraform to automate and improve development and release processes. This role involves working in Java, and working on Machine Learning pipelines for data collection or batch inference.
Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impac