Top Remote Data & Analytics Jobs in St. Louis, MO
The Commission Analyst will be responsible for administering Toast's variable compensation plan, calculating monthly earnings, maintaining commission tools and data, and collaborating with various departments to develop and fine-tune commission plans. The role requires 1-3 years of experience in Sales Compensation, Sales Operations, or Finance, advanced Excel skills, and the ability to thrive in a dynamic work environment.
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The Deposit Operations and Reconciliation Analyst at Leader Bank participates in process improvement projects, analyzes data, prepares reports, resolves discrepancies, and collaborates with teams to enhance data integrity and compliance.
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As a Senior HRIS & Compensation Analyst at Wasabi, you will be responsible for managing HRIS systems, overseeing compensation programs, analyzing salary data, ensuring compliance, and driving process improvements. You will play a crucial role in supporting decision-making and optimizing HR processes at a fast-growing cloud storage company in Boston.
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As a Machine Learning Engineer at Liftoff, you will own ML models with direct business impact, adopt new technologies, mentor team members, monitor ML research, and influence team roadmaps. Requires 8+ years of ML experience, strong engineering skills, and a degree in Machine Learning, Math, Physics or similar. Experience with AdTech is a plus.
Machine Learning Engineer on the Embeddings team at Liftoff.
Join Altice USA's Data Science team as a Machine Learning Engineer to deliver AI applications for various business units. Work on end-to-end solutions leveraging AI and ML principles, consult with stakeholders, analyze data, manage projects, share insights, and stay updated with industry trends.
The Director, Advanced Analytics will lead a team to define and execute data modeling processes, create algorithms, predictive models, and analysis related to clinical trial operations, collaborate with stakeholders, and maintain knowledge of data science innovations and competitive landscape.
The Director, Advanced Analytics will work with partners to address critical business questions beyond simple descriptive reports. Responsibilities include collaborating with SMEs, developing and executing advanced analytics, building prototypes, acquiring data, and maintaining knowledge of data science innovations.
Collaborate on marketing and business problems, develop strategies, test hypotheses, measure success, and shape marketing using data insights. 5+ years of experience in Data Science, proficiency in SQL and another data manipulation programming language, expertise in storytelling with data, and experience with statistical concepts.
Design and develop models, optimization algorithms, and scalable processes for marketing measurement and audience activation. Utilize big data analytical tools for data extraction. Develop machine learning algorithms for online and offline identity resolution. Work with statistical, data mining, and machine learning techniques to extract actionable information from data.
Manage analytical service operations for mortgage and tenant screening businesses by overseeing a team of data scientist consultants. Develop software to mine large datasets and develop predictive scoring models. Predict risk and marketing outcomes by developing statistical models. Generate insights using data query software. Provide training and mentorship to direct reports.
Staff Data Scientist role at Cash App focusing on programmatic ads business, optimizing marketing efforts, analyzing large datasets, and driving strategic decisions using data insights.
Manager role in SAP Human Capital practice at PwC, focusing on SAP SuccessFactors/HCM solutions, data migration, and integration using JAVA and Python programming languages.
Top remote Companies in St. Louis, MO Hiring Data + Analytics Roles
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