ExpertsHub.ai

Lead Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Scientist with 8+ years of experience, focusing on machine learning and advanced analytics. Contract length is unspecified, with a competitive pay rate. Key skills include Python, R, and experience with ML frameworks.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 26, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Francisco Bay Area
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🧠 - Skills detailed
#BI (Business Intelligence) #Data Science #Leadership #GCP (Google Cloud Platform) #SQL (Structured Query Language) #Azure #Data Engineering #Forecasting #Monitoring #Cloud #Visualization #NLP (Natural Language Processing) #Data Modeling #Deployment #Datasets #Statistics #TensorFlow #Microsoft Power BI #Deep Learning #Tableau #Data Processing #AI (Artificial Intelligence) #Data Analysis #Model Validation #PyTorch #ML (Machine Learning) #Python #AWS (Amazon Web Services) #R #Spark (Apache Spark)
Role description
Job Summary We are seeking an experienced Lead Data Scientist with 8+ years of experience in building and deploying advanced analytics and machine learning solutions. The ideal candidate will lead data science initiatives, mentor team members, and work closely with cross-functional stakeholders to deliver impactful, data-driven solutions. This role requires strong expertise in machine learning, statistical modeling, and end-to-end project ownership. Key Responsibilities • Lead the design, development, and deployment of machine learning and advanced analytics solutions. • Drive end-to-end data science projects from problem definition to production deployment. • Collaborate with business stakeholders to identify opportunities and translate them into data-driven solutions. • Build and optimize predictive models, recommendation systems, and forecasting solutions. • Guide and mentor junior data scientists and analysts. • Ensure best practices in data science, model validation, and performance monitoring. • Work closely with data engineering teams to ensure data availability and quality. • Communicate insights and recommendations to both technical and non-technical stakeholders. • Stay up to date with the latest trends in AI/ML and data science. Required Skills & Qualifications • 8+ years of experience in Data Science, Machine Learning, or a related field. • Strong proficiency in Python or R for data analysis and modeling. • Hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. • Strong understanding of statistics, probability, and data modeling techniques. • Experience working with large datasets and data processing tools (SQL, Spark, etc.). • Proven experience in deploying ML models into production environments. • Strong problem-solving and analytical thinking abilities. • Experience in stakeholder management and project leadership. Good to Have • Experience with Generative AI, NLP, or Deep Learning. • Knowledge of MLOps practices and tools. • Experience with cloud platforms (AWS, Azure, or GCP). • Familiarity with data visualization tools like Tableau or Power BI. Soft Skills • Excellent communication and presentation skills. • Strong leadership and mentoring abilities. • Ability to work in a fast-paced and collaborative environment. • Strategic thinking with a business-oriented mindset. Apply Here:- https://freelancer.expertshub.ai/auth/sign-up?marketingCode=EXPMRJEN002