Navasal Inc.
Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist with a contract length of "unknown," offering a pay rate of "unknown," and is fully remote. Key skills include proficiency in Python or R, machine learning, and cloud platforms. A minimum of 6–10 years of industry experience is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
December 3, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Texas, United States
-
🧠 - Skills detailed
#BI (Business Intelligence) #Data Storytelling #Tableau #Azure #NumPy #GCP (Google Cloud Platform) #Deployment #R #Computer Science #Data Pipeline #Data Wrangling #Data Science #Python #ML (Machine Learning) #Microsoft Power BI #Documentation #NLP (Natural Language Processing) #TensorFlow #Matplotlib #Storytelling #AWS (Amazon Web Services) #SQL (Structured Query Language) #Model Deployment #Libraries #Deep Learning #Statistics #Data Privacy #Data Analysis #Mathematics #AI (Artificial Intelligence) #Visualization #Pandas #PyTorch #Cloud
Role description
About the Company: Navasal Inc is a technology-driven organization that delivers innovative solutions in the domains of Data Science, Artificial Intelligence, and Machine Learning. Our mission is to empower businesses through data-driven decision-making while supporting professionals through training, project support, and career advancement.
We are currently seeking a Senior Data Scientist to join our dynamic team and contribute across various verticals including training, project mentorship, and execution of real-world data science projects.
About the Role:
Responsibilities:
• Training and Placement Support
• Conduct in-depth training sessions on core Data Science topics including data wrangling, statistics, machine learning, and advanced analytics.
• Design and deliver course materials, hands-on projects, and interactive sessions tailored to learners’ backgrounds and goals.
• Provide interview preparation, including mock interviews and technical Q&A sessions.
• Offer support as a proxy for interviews where applicable, ensuring candidate confidence and performance.
• Guide candidates on post-interview feedback and continuous skill development.
•
• Project Support
• Provide mentorship and technical support to trainees working on industry projects.
• Assist in understanding project scope, data requirements, model deployment, and KPI evaluation.
• Troubleshoot challenges in coding, data pipelines, modeling, and validation.
• Promote best practices for documentation and reproducibility in data science workflows.
•
• Independent Project Execution
• Lead or collaborate on end-to-end Data Science projects for external clients or internal initiatives.
• Understand business problems, define analytical approaches, and deliver actionable insights.
• Use advanced statistical models, machine learning algorithms, and data storytelling techniques.
• Stay abreast of industry trends, tools, and research in Data Science and apply them innovatively.
• Ensure project delivery on time with post-deployment support.
Qualifications:
• Education: Bachelor’s or master’s degree in computer science, Statistics, Mathematics, or a related quantitative field. PhD is a plus.
• Experience: Minimum 6–10 years of industry experience in data science, machine learning, or statistical modelling.
Required Skills:
• Proficiency in Python or R for data analysis and modeling.
• Solid experience with libraries such as pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
• Experience with SQL and data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn).
• Hands-on experience with cloud platforms (AWS, GCP, Azure).
• Expertise in building and deploying ML models (supervised/unsupervised), deep learning, NLP, and predictive analytics.
Preferred Skills:
• Understanding of data privacy, ethics, and governance.
• Familiarity with MLOps and model lifecycle management.
• Experience working with real-time data and streaming analytics.
Equal Opportunity Statement: Collaborative environment with strong focus on learning and professional growth. Flexible, remote work setup with opportunities to impact candidates’ and clients’ success. Diverse and innovative project portfolio across industries.
\`\`\`
About the Company: Navasal Inc is a technology-driven organization that delivers innovative solutions in the domains of Data Science, Artificial Intelligence, and Machine Learning. Our mission is to empower businesses through data-driven decision-making while supporting professionals through training, project support, and career advancement.
We are currently seeking a Senior Data Scientist to join our dynamic team and contribute across various verticals including training, project mentorship, and execution of real-world data science projects.
About the Role:
Responsibilities:
• Training and Placement Support
• Conduct in-depth training sessions on core Data Science topics including data wrangling, statistics, machine learning, and advanced analytics.
• Design and deliver course materials, hands-on projects, and interactive sessions tailored to learners’ backgrounds and goals.
• Provide interview preparation, including mock interviews and technical Q&A sessions.
• Offer support as a proxy for interviews where applicable, ensuring candidate confidence and performance.
• Guide candidates on post-interview feedback and continuous skill development.
•
• Project Support
• Provide mentorship and technical support to trainees working on industry projects.
• Assist in understanding project scope, data requirements, model deployment, and KPI evaluation.
• Troubleshoot challenges in coding, data pipelines, modeling, and validation.
• Promote best practices for documentation and reproducibility in data science workflows.
•
• Independent Project Execution
• Lead or collaborate on end-to-end Data Science projects for external clients or internal initiatives.
• Understand business problems, define analytical approaches, and deliver actionable insights.
• Use advanced statistical models, machine learning algorithms, and data storytelling techniques.
• Stay abreast of industry trends, tools, and research in Data Science and apply them innovatively.
• Ensure project delivery on time with post-deployment support.
Qualifications:
• Education: Bachelor’s or master’s degree in computer science, Statistics, Mathematics, or a related quantitative field. PhD is a plus.
• Experience: Minimum 6–10 years of industry experience in data science, machine learning, or statistical modelling.
Required Skills:
• Proficiency in Python or R for data analysis and modeling.
• Solid experience with libraries such as pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
• Experience with SQL and data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn).
• Hands-on experience with cloud platforms (AWS, GCP, Azure).
• Expertise in building and deploying ML models (supervised/unsupervised), deep learning, NLP, and predictive analytics.
Preferred Skills:
• Understanding of data privacy, ethics, and governance.
• Familiarity with MLOps and model lifecycle management.
• Experience working with real-time data and streaming analytics.
Equal Opportunity Statement: Collaborative environment with strong focus on learning and professional growth. Flexible, remote work setup with opportunities to impact candidates’ and clients’ success. Diverse and innovative project portfolio across industries.
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