
Associate Data Scientist
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Texas.
• Assist in data science projects that enhance business profitability, efficiency, and customer satisfaction.
• Collaborate with Data Scientists and/or Senior Data Scientists to create solutions using advanced analytical techniques and algorithms.
• Design and implement algorithms and models on large datasets to derive business insights.
• Perform analyses to address business challenges and carry out tasks with efficiency and high quality.
• Consult with Data Scientists or Senior Data Scientists regarding the selection, application, and interpretation of advanced analytical techniques.
• Familiarize yourself with assigned business areas and integrate business-specific knowledge into the solutions.
• Convey insights and recommendations effectively to both technical and non-technical stakeholders.
• Assist in the creation of project reports, updates, and presentations.
• Emphasize the potential impacts of recommendations to promote alignment and implementation.
• Stay informed about industry trends, best practices, and new methodologies.
• Continuously enhance data analytics skills and identify opportunities to apply new knowledge.
• Report to a manager or higher; no direct reports involved.
• No travel is required.
• Must be at least eighteen years old.
• Must have legal authorization to work in the United States.
• A Bachelor's degree or equivalent in a relevant field of study is required.
• Preferred: A Master's degree in a quantitative discipline or equivalent professional experience.
• Preferred: Over 3 years of experience in business intelligence and analytics.
• Proficient in Microsoft Excel and PowerPoint.
• Familiarity with a modern scripting language, preferably Python.
• Experience conducting queries on data, ideally using Google BigQuery or SQL.
• Background in predictive modeling, data mining, and data analysis.
• Proficient with data visualization tools, preferably Tableau.
• Experience applying statistical techniques to uncover key insights.
• Basic knowledge or exposure to prescriptive modeling, including optimization, computer vision, recommendations, search, or NLP.
• Basic knowledge or experience with predictive modeling, data mining, and data analysis.
• Health care benefits.
• 401K plan.
• Employee Stock Purchase Plan (ESPP).
• Paid time off.
• Success sharing bonus.
HighLevel
HighLevel
Brown and Caldwell
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