Job Description

Job Title: Data Scientist 2

Location: Atlanta, GA

Job Summary:

We are seeking a highly skilled Data Scientist with 5 to 10 years of experience to leverage data for uncovering insights, building predictive models, and driving data-driven decision-making. This role involves applying advanced analytics, machine learning, and statistical techniques to extract actionable information from large datasets. The ideal candidate will have strong problem-solving skills and experience in data visualization, predictive modeling, and cross-functional collaboration.

Key Responsibilities:

• Data Analysis: Collect, clean, and analyze complex datasets to identify trends and actionable insights. Apply statistical techniques to uncover meaningful patterns.
• Predictive Modeling: Develop and deploy machine learning models (e.g., regression, clustering, classification) to predict future trends and outcomes.
• Data Visualization: Create compelling visualizations using tools such as Tableau, Power BI, or Python libraries to communicate findings effectively to both technical and non-technical stakeholders.
• Hypothesis Testing: Formulate and test hypotheses, providing statistical validation for business decisions and recommendations.
• Feature Engineering: Engineer and select relevant features to enhance predictive model performance.
• Algorithm Development: Build and fine-tune machine learning algorithms, including decision trees, random forests, and neural networks, tailored to specific business problems.
• Data Integration: Collaborate with IT and database teams to access and integrate data from various sources and data warehouses.
• Model Deployment: Deploy machine learning models in production environments to support real-time decision-making.
• A/B Testing: Design and analyze A/B tests to measure the impact of changes and improvements.
• Data Ethics & Compliance: Ensure ethical data practices, including privacy protection and compliance with data regulations.
• Cross-functional Collaboration: Work closely with engineers, business analysts, and domain experts to align data science initiatives with organizational goals.
• Mentorship: Provide guidance and mentorship to junior data scientists and analysts to foster their professional growth.
• Continuous Learning: Stay up to date with the latest data science tools, techniques, and industry trends.

Qualifications:

• Education: Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering); a Master’s or Ph.D. is a plus.
• Experience: 5 to 10 years in data science, including machine learning, statistical analysis, and predictive modeling.
• Technical Skills:
• Proficiency in programming languages such as Python, R, or Julia.
• Strong knowledge of machine learning algorithms and their applications.
• Experience with data visualization tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn).
• Solid understanding of databases and data manipulation using SQL.
• Familiarity with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark) is a plus.
• Soft Skills:
• Excellent problem-solving and critical thinking abilities.
• Strong communication skills to translate complex findings into actionable business insights.
• Ability to work independently and as part of a cross-functional team.
• A Data Scientist in this role is a critical asset to the organization, responsible for transforming data into actionable insights, building predictive models, and driving informed decision-making. This position requires strong technical expertise, analytical thinking, and the ability to collaborate effectively with various teams.

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