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Lead Data Scientist (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead Data Scientist in the United States.. This role offers the opportunity to lead advanced AI initiatives and drive the development of scalable machine learning systems that generate real business impact. You will oversee complex data science projects from ideation through deployment, mentor a team of engineers and data scientists, and collaborate with stakeholders to translate business needs into AI-driven solutions. This position combines deep technical expertise with strategic leadership, giving you the chance to shape AI practices, innovate with generative AI, and deliver actionable insights that influence business decisions. The role thrives in a dynamic environment where creativity, technical excellence, and collaboration are equally valued, and where your work will have measurable, organization-wide impact.. . Accountabilities. In this role, you will:. . Lead the design, development, and deployment of AI and machine learning solutions that solve critical business challenges.. . Translate complex business and stakeholder requirements into technical AI/Gen AI solutions and present findings effectively.. . Identify, integrate, clean, and transform large datasets to ensure readiness for AI applications.. . Oversee the development of advanced models such as recommendation engines, intelligent agents, and prototypes using machine learning, deep learning, and generative AI techniques.. . Mentor and coach junior data scientists and engineers, providing guidance on model development, best practices, and technical growth.. . Conduct performance evaluations, post-implementation reviews, and optimize deployed models for reliability and scalability.. . Collaborate with internal and external partners to ensure AI solutions meet quality, timeline, and budget expectations.. . . Candidates should have:. . Proven experience delivering data science and machine learning solutions from concept to production, including model deployment, monitoring, and optimization.. . Strong programming skills in Python (NumPy, Pandas, SciPy, scikit-learn) and familiarity with deep learning frameworks (TensorFlow, PyTorch).. . Expertise in machine learning, deep learning, NLP, MLOps, and generative AI techniques (e.g., transformers, BERT, GPT).. . Experience with data engineering, building scalable pipelines for batch and streaming data (Spark, Hadoop), and working with SQL/relational databases.. . Familiarity with cloud platforms (AWS, Azure, GCP) for model deployment and AI workflows.. . Advanced degree (Master’s or PhD) in Applied Mathematics, Statistics, Computer Science, or a related technical field preferred.. . Strong skills in data visualization, storytelling, and communicating complex analyses to technical and non-technical stakeholders.. . Demonstrated leadership and mentoring experience, guiding teams and fostering technical growth.. . Ability to adapt to new tools, technologies, and evolving business needs quickly.. . . Company Location: United States.