Data Scientist IV

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.

• 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 languages.

• Expertise in machine learning algorithms, including deep learning, ensemble methods, and time series analysis.

• Experience with specific ML frameworks like TensorFlow, PyTorch, or scikit-learn.

• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform, and experience with cloud services specifically tailored for ML development and deployment (Vertex AI, BigQuery, SageMaker, Redshift, Azure ML Studio).

• Experience working with relational databases (e.g., MySQL, PostgreSQL, SQL Server) and NoSQL databases (e.g., MongoDB, Cassandra), including data modeling, query optimization, and data integration.

• Strong proficiency in SQL for data querying, manipulation, and analysis, including experience with advanced SQL features like window functions and CTEs.

• Experience using Python libraries like Pandas, NumPy, and Dask for data cleaning, transformation, and feature engineering.

• Strong understanding of statistical concepts, hypothesis testing, and data analysis.

• Experience working in an Agile environment following Scrum methodology.

• Excellent communication and presentation skills, with the ability to clearly convey technical concepts to non-technical audiences.

• Ability to work independently and as part of a team, contributing to a collaborative and positive work environment.

• Strong problem-solving skills and a passion for data-driven decision making.

• Experience working in a SaaS environment is a plus.

• Demonstrated leadership skills, including the ability to mentor and guide other data scientists.

• Proven ability to identify opportunities for AI/ML applications and communicate their potential value to business stakeholders.

• 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.

• Comprehensive medical benefits
• Competitive pay
• 401(k) retirement plan
• and much more!

Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.