Data Scientist at APTEAN in Alpharetta, Georgia

Job Description:

APTEAN


Position Title: Data Scientist

Location: Atlanta GA USA Alpharetta, Georgia US

Location Details: Hybrid (Onsite/Remote)

Experience Level: Experienced Professional


Country: Non-US

Type: Employee Regular Full Time

Job Description

Overview

Data Scientist

Alpharetta, GA

About Us: We are an innovative company at the forefront of leveraging data to drive business transformation. Our team is focused on harnessing the power of data science and machine learning to solve complex challenges, enhance customer experiences, and deliver significant business value. We are looking for a highly skilled Data Scientist to join our team and contribute to cutting-edge projects in the fields of logistics and transportation.

Key Responsibilities:

• Develop, implement, and optimize machine learning models and algorithms to optimize route planning and logistics in real time
• Perform exploratory data analysis (EDA) to uncover patterns, insights, and trends.
• Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.
• Design and conduct A/B testing and statistical analysis to evaluate the impact of business changes.
• Create predictive models to support business decision-making processes, forecasting, and recommendations.
• Clean, preprocess, and validate large datasets from multiple sources to ensure data integrity.
• Present findings and insights to both technical and non-technical stakeholders through clear visualizations and reports.
• Stay updated with the latest advancements in data science, AI, and machine learning to apply new techniques and tools in projects.
• Support data engineering teams in building data pipelines and infrastructure for scalable model deployment.
• Assist in maintaining and improving current analytical tools, dashboards, and reports.

Required Skills and Qualifications:

• Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or related fields.
• Proven experience in data science or machine learning, with a strong portfolio of relevant projects.
• Proficiency in programming languages such as Spark, Python, R, or Scala.
• Strong understanding of statistical methods, data modeling, and machine learning algorithms (e.g., regression, classification, clustering, deep learning).
• Hands-on experience with data visualization tools like Tableau, Power BI, or similar
• Expertise in working with large datasets and data frameworks such as SparkSQL, Fabric, or Spark.
• Familiarity with cloud computing platforms (AWS, Azure) for model development and deployment.
• Excellent problem-solving skills and attention to detail.
• Knowledge of MLOps practices and tools for automating and streamlining model production.
• Excellent communication skills, both written and verbal, with the ability to explain complex technical concepts to non-technical audiences.
• Analytical and problem-solving mindset with attention to detail and curiosity to explore data in-depth.

Preferred Qualifications:

• • Ph.D. in Data Science, Machine Learning, or related field.

If you share our mindset, you can share in our success. To find out more about joining Aptean, get in touch today.

Learn from our differences. Celebrate our diversity. Grow and succeed together.

Aptean pledges to promote a company culture where diversity, equity and inclusion are central. We are committed to applying this principle as we interact with our customers, build our teams, cultivate our leaders and shape a company in which any employee can succeed, regardless of race, color, sex, national origin, sexuality and gender identity, religion, disability, age, status as a protected veteran or any other group status protected by law. Celebrating our diverse experiences, opinions and beliefs allows us to embrace what makes us unique and to use this as an asset in bringing innovative solutions to our customer base.

“At Aptean, our global and diverse employee base is our greatest asset. It is through embracing and understanding our differences that we are able to harness our individual power to maximize the success of our customers, our employees and our company.” – TVN Reddy

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