Data Scientist

Job not on LinkedIn

🕒 June 9

🎸 Tennessee – Remote

🎸 Tennessee – Remote

💵 $125k - $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Electrical Engineering Morocco

WebsiteLinkedInAll Job Openings

2 - 10 employees

🎯 Recruiter

🤝 B2B

Recruitment • B2B

Electrical Engineering Morocco is a virtual staffing and recruitment agency that specializes in sourcing, screening, and placing qualified professionals across industries. The company provides comprehensive staffing solutions including direct permanent placement, temporary staffing for seasonal or project needs, executive search for senior leadership, and end-to-end talent management from sourcing through onboarding and retention. Operating as a talent partner to businesses, it focuses on connecting organizations with top-tier talent to drive growth and innovation while supporting candidates' career development.

📋 Description

• Partner with the business to uncover opportunities, optimize performance, and drive data-informed outcomes • Collaborate closely with marketing, sales, operations, supply chain, corporate, and finance teams • Identify opportunities, develop predictive and prescriptive models, and deliver actionable insights that improve revenue growth, operational efficiency, and margin performance • Work with large, complex datasets spanning manufacturing, distribution, pricing, and customer behavior • Collaborate with the Data Engineering team

🎯 Requirements

• 5+ years of progressive experience in data science, advanced analytics, or a closely related field, with a strong preference supporting marketing or commercial teams • Experience in the development of machine learning models and AI frameworks • Experience working with data visualization and business intelligence tools (e.g., Tableau, Power BI, or similar tools) • Experience working with enterprise data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery) • Experience working with data from large enterprise applications (e.g., ERP, CRM or operational systems) • Fluency in Python and SQL (required); R (optional) • Demonstrated experience developing and validating statistical models, machine learning algorithms, and advanced analytical solutions using large, complex datasets • Strong competency in statistical & quantitative methods (e.g., hypothesis testing, regression, probability theory, experimental design, etc.) • Demonstrated experience with experimentation and causal analysis • Demonstrated experience with experimental design, model evaluation, and performance measurement • Strong understanding of data pipelines, ETL processes, and data architecture • Proven success in supervised and unsupervised learning (e.g., regression, classification, clustering) • Strong understanding of AI, its potential roles in solving business problems, and the future trajectory of generative AI models • Excellent presentation, communication, and stakeholder management skills, with the ability to explain technical concepts in business terms to a diverse audience • Highly self-motivated with proven ability to operate autonomously, managing multiple priorities in a fast-paced environment • Willingness and ability to learn new technologies on the job with a continuous learning and innovation mindset • Bachelor’s degree in computer science, mathematics, data science, statistics, or a related quantitative field (Master’s degree preferred) • Occasional travel up to 15% of time • Occasional exposure to a plant environment