Lead Data Scientist

Developing & Deploying Machine Learning Solutions: Expertise in machine learning algorithms & with specific ML frameworks like TensorFlow, PyTorch, or scikit-learn: Relational databases (e.g., MySQL, PostgreSQL, SQL Server) and NoSQL databases (e.g., MongoDB, Cassandra), including data modeling, query optimization, and data integration: Python libraries like Pandas, NumPy, and Dask for data cleaning, transformation, and feature engineering: Experience with Natural Language Processing (NLP), Large Language Models (LLMs), Natural Language Understanding (NLU), and Retrieval Augmented Generation (RAG) techniques, or other Generative AI technologies: Data Scientist Role Description: As a Lead Data Scientist, you will be a key player in driving the success of our data science initiatives, leading the execution of impactful projects, and mentoring a team of talented data scientists. You will act as a bridge between technical expertise and cross-functional teams in Sales, Marketing, Customer Success, and Product Development to identify opportunities for AI and ML to solve complex problems and drive strategic growth. This role requires a blend of technical proficiency, leadership skills, and a strong understanding of business goals. Responsibilities: Lead and mentor a team of data scientists, providing technical guidance, fostering professional development, and promoting a collaborative work environment. Collaborate with stakeholders across departments to understand business needs, translate them into data-driven solutions, and communicate technical concepts effectively to non-technical audiences. Lead the design, development, and implementation of innovative data science solutions, including machine learning models, statistical analyses, and predictive algorithms. Develop and maintain robust data pipelines for data acquisition, cleaning, transformation, and feature engineering, ensuring data quality and efficiency. Train, validate, and deploy ML models using various algorithms, including regression, classification, clustering, time series forecasting, and reinforcement learning. Evaluate model performance, identify opportunities for improvement, and implement optimization strategies. Propose and implement best practices and standards for data science development, ensuring consistency, efficiency, and quality across projects. Lead the execution of complex projects, guiding the team through all stages of the data science lifecycle. Identify new opportunities for leveraging data science to gain a competitive advantage and drive business growth. Contribute to the development and execution of the data science roadmap, aligning initiatives with overall business objectives and prioritizing projects for maximum impact. Stay up to date on the latest trends and advancements in machine learning, data science, and related technologies. Champion the adoption of data science best practices across the organization, fostering a data-driven culture. Qualifications: Master's degree in Statistics, Computer Science, Data Science, or a related field. 7+ years of experience in a data science role, with a proven record of accomplishment developing and deploying successful machine learning solutions. Strong proficiency in Python, R, or other statistical programming 3B Staffing LLC