Lead Data Scientist LDSTXIT

NavitsPartners

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profile Job Location:

Houston, MS - USA

profile Monthly Salary: Not Disclosed
Posted on: 6 days ago
Vacancies: 1 Vacancy

Job Summary

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.

Lead Data ScientistLocation: Houston TXJob SummaryThe 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...
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Key Skills

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