Data Scientist

Data Scientist

1 Year Contract

Atlanta, GA

Job Overview

Leverage data to uncover insights, create predictive models, and drive data-driven decision-making

Perform advanced analytics and machine learning

Apply strong problem-solving skills to extract actionable information from large datasets

Key Responsibilities

Data Analysis: Collect, clean, and analyze complex datasets to identify trends, patterns, and actionable insights

Predictive Modeling: Develop and deploy machine learning models to predict future trends, behaviors, and outcomes

Data Visualization: Create compelling visualizations to communicate findings to technical and non-technical stakeholders

Hypothesis Testing: Formulate and test hypotheses, providing statistical validation for business decisions

Feature Engineering: Engineer and select relevant features for machine learning models

Algorithm Development: Build and fine-tune machine learning algorithms (decision trees, random forests, neural networks, etc.)

Data Integration: Collaborate with IT and database administrators to integrate data from various sources

Model Deployment: Deploy machine learning models in production environments

A/B Testing: Design and analyze tests to measure impact of changes and improvements

Data Ethics: Ensure ethical data practices, including privacy and compliance with data protection regulations

Cross-functional Collaboration: Work with engineers, business analysts, and domain experts to align data science initiatives with organizational goals

Mentorship: Provide guidance to junior data scientists and analysts

Continuous Learning: Stay updated on the latest data science tools, techniques, and trends

Qualifications

Bachelor's degree in a quantitative field (Computer Science, Statistics, Mathematics, Engineering); Master's or Ph.D. is a plus

5-10 years of experience in data science, including machine learning and statistical analysis

Proficiency in data analysis tools and programming languages (Python, R, or Julia)

Strong knowledge of machine learning algorithms and their applications

Experience with data visualization tools (Tableau, Power BI, or Python libraries)

Solid understanding of databases and data manipulation using SQL

Excellent problem-solving and critical thinking skills

Strong communication skills for conveying complex findings to various stakeholders

Familiarity with big data technologies and distributed computing frameworks is a plus

Knowledge of data ethics, privacy, and compliance considerations