Data Scientist

Sigil Partners; Atlanta (GA); On-site; USD 120,000 - 170,000; Full time

Job summary

Sigil Partners in Atlanta, GA is seeking a Data Scientist to join a growing analytics team. You will apply machine learning, predictive analytics, and statistical modeling to solve business challenges and uncover opportunities for improvement.

You will collaborate with business leaders to turn insights into actionable strategies and help expand the organization's data science capabilities to drive informed decisions.

Qualifications

• 3–5 years of experience in data science and analytics.
• Bachelor's degree in a quantitative field.
• Strong statistical analysis, predictive modeling and ML foundations.
• Proficiency in Python and SQL for modeling and analysis.
• Hands-on ML model development and evaluation experience.
• Experience with large datasets and data preparation.

Responsibilities

• Partner with business teams to identify opportunities for analytics value.
• Build, test, deploy, and refine predictive models aligned to business goals.
• Collaborate with data engineers to support analytics infrastructure.
• Work with large, complex datasets to uncover trends and insights.
• Apply statistical methods and ML algorithms to business problems.
• Present findings via dashboards, reports, or visualization tools.
• Support data-driven decision making across the organization.
• Stay updated on new data science developments.

Skills

Data Science

Machine Learning

Python

SQL

Statistics

Data Visualization

AWS

Azure

Communication

Problem Solving

Large Datasets

Education

Bachelor's in Statistics/Math/CS/Engineering

Master's degree preferred

Tools

Databricks

Spark

Tableau

Power BI

GIS

Job description

We are looking for a Data Scientist to join a growing analytics team in Atlanta, GA. This individual will play an important role in using machine learning, predictive analytics, and statistical modeling to solve business challenges and uncover opportunities for improvement.

The ideal candidate is someone who enjoys working with complex data, developing practical analytical solutions, and partnering with business leaders to turn insights into actionable strategies. This role offers the opportunity to contribute to the expansion of an organization's data science capabilities and help drive more informed business decisions.

Key Responsibilities

• Partner with business teams to understand their challenges and identify opportunities where predictive analytics and machine learning can provide value.
• Build, test, implement, and refine predictive models that support business objectives and operational improvements.
• Collaborate with data engineers and technology teams to develop the infrastructure and processes needed to support advanced analytics.
• Work with large, complex datasets to uncover trends, identify patterns, and develop meaningful insights.
• Apply statistical methods, machine learning algorithms, classification, clustering, and optimization techniques to business problems.
• Utilize BI tools, data visualization platforms, and modern analytics technologies to present findings in a clear and engaging way.
• Evaluate model performance and make ongoing improvements to ensure accuracy, reliability, and effectiveness.
• Communicate analytical findings and recommendations to stakeholders across different departments and technical backgrounds.
• Support broader efforts to expand the use of predictive analytics and strengthen data-driven decision-making throughout the organization.
• Stay informed on new developments in data science, machine learning, and analytics technologies.

Required Qualifications

• 3-5 years of professional experience in data science, machine learning, predictive analytics, or a related discipline.
• Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Data Science, or a similar quantitative field.
• Strong foundation in statistical analysis, predictive modeling, and machine learning techniques.
• Proficiency in Python and SQL, with experience using both to analyze data and develop analytical models.
• Hands-on experience building and evaluating machine learning models, including classification, clustering, and predictive algorithms.
• Experience working with large datasets, including data preparation, transformation, and performance optimization.
• Familiarity with cloud technologies such as AWS or Azure and their associated data and analytics services.
• Ability to select appropriate analytical approaches based on business requirements and explain the reasoning behind those decisions.
• Experience presenting data-driven findings through dashboards, reports, or other visualization tools.
• Strong communication skills and the ability to work effectively with both technical and business stakeholders.

Preferred Qualifications

• Master's degree in a quantitative or STEM-related field, such as Applied Mathematics, Statistics, Operations Research, Engineering, or Business Analytics.
• Experience with Databricks, AWS EMR, RDS, S3, or similar cloud-based analytics platforms.
• Knowledge of Spark, Scala, or other technologies used for large-scale data processing.
• Familiarity with Power BI, Tableau, GIS visualization tools, or comparable platforms.
• Experience deploying and maintaining predictive models in a production environment.
• Exposure to MLOps practices, model monitoring, and automated machine learning workflows.
• Experience contributing to enterprise analytics programs or helping establish data science best practices.

What You'll Bring to the Team

We’re looking for someone who combines strong analytical skills with business curiosity and a collaborative mindset. You should be comfortable exploring complex problems, recommending data-driven solutions, and explaining technical findings in ways that are meaningful to business leaders.

This is an opportunity to make a direct impact by helping the organization expand its use of predictive analytics, improve business performance, and build scalable data science capabilities.