VBeyond Corporation
Lead Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Scientist with a contract length of "unknown," offering a pay rate of "unknown." Key skills include machine learning, Python, and big data technologies. A Master's or PhD in a related field and 5+ years of experience are required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
August 5, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Atlanta, GA
-
🧠 - Skills detailed
#GCP (Google Cloud Platform) #Azure #Spark (Apache Spark) #Strategy #SQL (Structured Query Language) #Data Mining #PyTorch #Programming #Data Science #Hadoop #Computer Science #Data Privacy #BI (Business Intelligence) #Visualization #ML (Machine Learning) #TensorFlow #Mathematics #Cloud #AWS (Amazon Web Services) #R #Security #Statistics #Scala #Tableau #Data Accuracy #Microsoft Power BI #Compliance #Python #Big Data #Leadership #Deep Learning
Role description
Role Overview:
As a Lead Data Scientist, you will spearhead the data science initiatives within the organization. You will lead a team of data scientists and analysts, guiding them to develop and implement advanced analytical models and data-driven solutions that support business goals. Your expertise will drive insights that influence strategic decisions, improve operational efficiency, and deliver competitive advantages.
Key Responsibilities:
• Lead, mentor, and manage a team of data scientists and analysts.
• Define the roadmap and data science strategy in alignment with business objectives.
• Design, develop, and deploy scalable predictive models and machine learning algorithms.
• Collaborate with cross-functional teams including product, engineering, and business stakeholders.
• Translate complex data analytics into actionable business insights and communicate effectively to both technical and non-technical audiences.
• Oversee data collection, cleaning, and processing to ensure data accuracy and completeness.
• Monitor and improve model performance and accuracy over time.
• Stay updated with the latest advancements in data science and machine learning.
• Lead research and experiments on new methods, tools, and technologies.
• Ensure compliance with data privacy and security policies.
Required Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or related field (PhD preferred).
• Extensive experience (typically 5+ years) in data science or analytics roles.
• Strong expertise in machine learning, statistical modeling, and data mining techniques.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with big data technologies like Hadoop, Spark, or cloud platforms (AWS, Azure, GCP).
• Experience leading teams and managing projects.
• Excellent problem-solving skills and business acumen.
• Strong communication and leadership skills.
Preferred Skills:
• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Knowledge of data visualization tools like Tableau, Power BI, or similar.
• Experience in specific industries relevant to the employer (e.g., finance, healthcare, e-commerce).
• Ability to translate complex concepts to business leaders and stakeholders.
Role Overview:
As a Lead Data Scientist, you will spearhead the data science initiatives within the organization. You will lead a team of data scientists and analysts, guiding them to develop and implement advanced analytical models and data-driven solutions that support business goals. Your expertise will drive insights that influence strategic decisions, improve operational efficiency, and deliver competitive advantages.
Key Responsibilities:
• Lead, mentor, and manage a team of data scientists and analysts.
• Define the roadmap and data science strategy in alignment with business objectives.
• Design, develop, and deploy scalable predictive models and machine learning algorithms.
• Collaborate with cross-functional teams including product, engineering, and business stakeholders.
• Translate complex data analytics into actionable business insights and communicate effectively to both technical and non-technical audiences.
• Oversee data collection, cleaning, and processing to ensure data accuracy and completeness.
• Monitor and improve model performance and accuracy over time.
• Stay updated with the latest advancements in data science and machine learning.
• Lead research and experiments on new methods, tools, and technologies.
• Ensure compliance with data privacy and security policies.
Required Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or related field (PhD preferred).
• Extensive experience (typically 5+ years) in data science or analytics roles.
• Strong expertise in machine learning, statistical modeling, and data mining techniques.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with big data technologies like Hadoop, Spark, or cloud platforms (AWS, Azure, GCP).
• Experience leading teams and managing projects.
• Excellent problem-solving skills and business acumen.
• Strong communication and leadership skills.
Preferred Skills:
• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Knowledge of data visualization tools like Tableau, Power BI, or similar.
• Experience in specific industries relevant to the employer (e.g., finance, healthcare, e-commerce).
• Ability to translate complex concepts to business leaders and stakeholders.
