Lead Data Scientist

1. Developing & Deploying Machine Learning Solutions:
2. Expertise in machine learning algorithms & with specific ML frameworks like TensorFlow, PyTorch, or scikit-learn:
3. Relational databases (e.g., MySQL, PostgreSQL, SQL Server) and NoSQL databases (e.g., MongoDB, Cassandra), including data modeling, query optimization, and data integration:
4. Python libraries like Pandas, NumPy, and Dask for data cleaning, transformation, and feature engineering:
5. 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