Lead Data Scientist LDSTXIT

Lead Data Scientist

Location : Houston TX

Job Summary

The Lead Data Scientist is responsible for driving advanced analytics initiatives and leading complex data science projects across the organization. This role oversees the analysis of large diverse and unstructured datasets using advanced statistical and machine-learning methods to support data-driven decision-making. The Lead Data Scientist partners with cross-functional teams mentors other data scientists and provides strategic insights on high-impact business challenges. This position typically reports to a Data Science Manager.

Minimum Qualifications

Education

Bachelors degree in Science Engineering Computer Science Mathematics Statistics or another STEM-related field (required)

Masters degree in Data Science preferred

Experience / Knowledge / Skills

7 years of data science experience

Experience in healthcare analytics hospital operations medical informatics EHR data or healthcare IT (preferred)

Strong business analysis capabilities including workflow analysis modeling and process evaluation

Deep understanding of machine learning techniques (e.g. clustering neural networks decision trees) and their practical applications

Advanced proficiency in statistical methods (regression statistical testing distribution properties etc.)

Strong experience communicating insights gathering requirements and storytelling with data

Advanced knowledge of the data science life cycle model development and deployment

Proficiency in programming languages commonly used in data science (e.g. Python R)

Strong SQL skills and experience with large complex datasets

Exceptional problem-solving analytical reasoning and decision-making abilities

Ability to manage multiple projects independently in fast-paced environments

Excellent written and verbal communication skills for technical and non-technical audiences

Strong project management skills with a commitment to delivering high-quality work

Ability to troubleshoot and resolve data quality issues

Experience working with time-series forecasting A / B testing clustering and other data science methods

Ability to mentor junior team members and support broader data literacy initiatives

Principal Accountabilities

Lead and manage high-impact data science projects that support business strategy and operational improvements

Provide technical leadership and mentorship to data science team members

Develop advanced statistical models predictive algorithms and machine-learning solutions

Conduct research and analysis on structured and unstructured datasets to uncover actionable insights

Maintain evaluate and refine existing analytical models to ensure accuracy and relevance

Communicate findings clearly and effectively to leadership and cross-functional teams

Partner with internal stakeholders to identify data issues and optimize data processes for efficiency and scalability

Support evaluation and selection of data science tools and vendors

Contribute to building data science best practices frameworks and methodologies

Promote continuous learning development and knowledge sharing within the team

Uphold organizational standards related to quality compliance and operational excellence

Participate in professional development continuing education and team-based initiatives

Perform additional responsibilities as assigned

For more details reach at

About Navitas Partners LLC : It is a certified WBENC and one of the fastest-growing Technical / IT staffing firms in the US providing services to numerous clients. We offer the most competitive pay for every position. We understand this is a partnership. You will not be blindsided and your salary will be discussed upfront.

Key Skills

Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills

Employment Type : Full Time

Experience : years

Vacancy : 1