Lead Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Scientist in Plano, TX, lasting 12 months+, offering competitive pay. Requires a PhD, 5+ years of forecasting experience in the automotive domain, and expertise in Python, SQL, machine learning frameworks, and cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
May 17, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Memphis, TN
🧠 - Skills detailed
#Data Science #ML (Machine Learning) #Keras #S3 (Amazon Simple Storage Service) #Data Storage #Azure #ADLS (Azure Data Lake Storage) #Cloud #Snowflake #Forecasting #Distributed Computing #Pandas #Storage #PyTorch #Hadoop #Mathematics #Big Data #AWS (Amazon Web Services) #Libraries #GCP (Google Cloud Platform) #Databricks #Time Series #Computer Science #Scala #R #TensorFlow #NumPy #Statistics #Deployment #Spark (Apache Spark) #Apache Spark #Python #SQL (Structured Query Language) #Deep Learning
Role description
Job Title: Lead Data Scientist
Location: Plano, TX (Onsite)
Duration: 12 Months+
Job Description:
• We are seeking an exceptional and highly motivated Lead Data Scientist with a PhD in Data Science, Computer Science, Applied Mathematics, Statistics, or a closely related quantitative field, to spearhead the design, development, and deployment of an automotive OEM’s next-generation Intelligent Forecast Application will leverage cutting-edge machine learning, deep learning, and statistical modeling techniques to build a robust, scalable, and accurate forecasting system crucial for strategic decision-making across the automotive value chain, including demand planning, production scheduling, inventory optimization, predictive maintenance, and new product introduction.
• Education: MUST HAVE PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, or a closely related quantitative field.
• Experience:5+ years of hands-on experience in a Data Scientist with a significant focus on developing and deploying advanced forecasting solutions in a production environment.
• MUST HAVE AUTOMOBILE DOMAIN EXPERIENCE NO TOO OLD
• Demonstrated experience designing and developing intelligent applications, not just isolated models.
• Experience in the automotive industry or a similar complex manufacturing/supply chain environment is highly desirable.
• Technical Skills Expert proficiency in Python (Numpy, Pandas, Scikit-learn, Statsmodels) and/or R. Strong proficiency in SQL.
• Machine Learning/Deep Learning Frameworks: Extensive experience with TensorFlow, PyTorch, Keras, or similar deep learning libraries.
• Forecasting Specific Libraries: Proficiency with forecasting libraries like Prophet, Statsmodels, or specialized time series packages.
• Data Warehousing & Big Data Technologies: Experience with distributed computing frameworks (e.g., Apache Spark, Hadoop) and data storage solutions (e.g., Snowflake, Databricks, S3, ADLS).
• Cloud Platforms: Hands-on experience with at least one major cloud provider (Azure, AWS, GCP) for data science and ML deployments.
Thanks & Regards
Neeraj Yadav
neeraj@nationmind.com
Job Title: Lead Data Scientist
Location: Plano, TX (Onsite)
Duration: 12 Months+
Job Description:
• We are seeking an exceptional and highly motivated Lead Data Scientist with a PhD in Data Science, Computer Science, Applied Mathematics, Statistics, or a closely related quantitative field, to spearhead the design, development, and deployment of an automotive OEM’s next-generation Intelligent Forecast Application will leverage cutting-edge machine learning, deep learning, and statistical modeling techniques to build a robust, scalable, and accurate forecasting system crucial for strategic decision-making across the automotive value chain, including demand planning, production scheduling, inventory optimization, predictive maintenance, and new product introduction.
• Education: MUST HAVE PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, or a closely related quantitative field.
• Experience:5+ years of hands-on experience in a Data Scientist with a significant focus on developing and deploying advanced forecasting solutions in a production environment.
• MUST HAVE AUTOMOBILE DOMAIN EXPERIENCE NO TOO OLD
• Demonstrated experience designing and developing intelligent applications, not just isolated models.
• Experience in the automotive industry or a similar complex manufacturing/supply chain environment is highly desirable.
• Technical Skills Expert proficiency in Python (Numpy, Pandas, Scikit-learn, Statsmodels) and/or R. Strong proficiency in SQL.
• Machine Learning/Deep Learning Frameworks: Extensive experience with TensorFlow, PyTorch, Keras, or similar deep learning libraries.
• Forecasting Specific Libraries: Proficiency with forecasting libraries like Prophet, Statsmodels, or specialized time series packages.
• Data Warehousing & Big Data Technologies: Experience with distributed computing frameworks (e.g., Apache Spark, Hadoop) and data storage solutions (e.g., Snowflake, Databricks, S3, ADLS).
• Cloud Platforms: Hands-on experience with at least one major cloud provider (Azure, AWS, GCP) for data science and ML deployments.
Thanks & Regards
Neeraj Yadav
neeraj@nationmind.com
