EPITEC
Base pay range
$46.00/hr - $55.00/hr
Overview
A Data Scientist is responsible for analyzing large volumes of structured and unstructured data to extract actionable insights, build predictive models, and support data-driven decision-making. This role blends statistical expertise, programming skills, and business acumen to solve complex problems and drive innovation. Education and Experience
Education Required:
Bachelor’s and/or Master’s degree Internship Experience Accepted:
Yes Position’s Contributions to Work Group
Data Scientist responsibilities include analyzing data to support forecasting and decision-making, and applying advanced analytics to business challenges. Typical Task Breakdown
Data Collection & Preparation: Gather, clean, and validate data from various sources to ensure quality and usability Exploratory Data Analysis: Identify trends, anomalies, and patterns in large datasets Model Development: Design and implement machine learning models (e.g., regression, classification, clustering, NLP) to support forecasting and decision-making Data Visualization: Create dashboards and reports using tools like Power BI, etc., to communicate findings Automation & Optimization: Develop scripts and tools to automate data processing and model deployment Collaboration: Work cross-functionally with product, engineering, and business teams to align data initiatives with strategic goals Research & Innovation: Stay current with emerging technologies and methodologies in data science and apply them to business challenges Team Interaction
Primarily working with 10+ team members (technical team and business partners) Required Technical Skills (Required)
Proficiency in Python, SQL, and data science libraries (e.g., Pandas, Scikit-learn, TensorFlow) Strong foundation in statistics, probability, and machine learning Familiarity with cloud platforms (e.g., Azure, AWS, Snowflake) and data modeling Excellent communication skills to explain technical concepts to non-technical stakeholders Soft Skills (Required)
Business acumen Seniority level
Mid-Senior level Employment type
Contract Job function
Information Technology Industries
Manufacturing
#J-18808-Ljbffr
A Data Scientist is responsible for analyzing large volumes of structured and unstructured data to extract actionable insights, build predictive models, and support data-driven decision-making. This role blends statistical expertise, programming skills, and business acumen to solve complex problems and drive innovation. Education and Experience
Education Required:
Bachelor’s and/or Master’s degree Internship Experience Accepted:
Yes Position’s Contributions to Work Group
Data Scientist responsibilities include analyzing data to support forecasting and decision-making, and applying advanced analytics to business challenges. Typical Task Breakdown
Data Collection & Preparation: Gather, clean, and validate data from various sources to ensure quality and usability Exploratory Data Analysis: Identify trends, anomalies, and patterns in large datasets Model Development: Design and implement machine learning models (e.g., regression, classification, clustering, NLP) to support forecasting and decision-making Data Visualization: Create dashboards and reports using tools like Power BI, etc., to communicate findings Automation & Optimization: Develop scripts and tools to automate data processing and model deployment Collaboration: Work cross-functionally with product, engineering, and business teams to align data initiatives with strategic goals Research & Innovation: Stay current with emerging technologies and methodologies in data science and apply them to business challenges Team Interaction
Primarily working with 10+ team members (technical team and business partners) Required Technical Skills (Required)
Proficiency in Python, SQL, and data science libraries (e.g., Pandas, Scikit-learn, TensorFlow) Strong foundation in statistics, probability, and machine learning Familiarity with cloud platforms (e.g., Azure, AWS, Snowflake) and data modeling Excellent communication skills to explain technical concepts to non-technical stakeholders Soft Skills (Required)
Business acumen Seniority level
Mid-Senior level Employment type
Contract Job function
Information Technology Industries
Manufacturing
#J-18808-Ljbffr