Demo

Senior Data Specialist

World Wide Technology
Houston, TX Contractor
POSTED ON 4/3/2025
AVAILABLE BEFORE 5/1/2025

Job Title: Senior Data Scientist

Location: Downtown Houston, TX (Onsite 3 days a week: Tuesday - Thursday)

Job Type: Contract (through June or July with the possibility of extension in 6-month increments)


Overview: Our customer is seeking a highly skilled and motivated Senior Data Scientist to join their team. The ideal candidate will have a strong background in data science with a generalist approach, proficient in Python and SQL, and experience in data engineering and transformation. This role offers the opportunity for long-term engagement, with the potential for multiple years of extension.


Key Responsibilities:

  • Develop and implement data science models and algorithms to solve complex business problems.
  • Perform data engineering tasks, including data extraction, transformation, and loading (ETL) processes.
  • Utilize Python and SQL to analyze large datasets and derive actionable insights.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions.
  • Assist in deploying data science solutions into production with the support of the existing team.
  • Continuously monitor and improve the performance of data science models.
  • Stay current with the latest trends and technologies in data science and apply them to ongoing projects.


Qualifications:

  • Proven experience as a Data Scientist with a generalist approach.
  • Strong proficiency in Python and SQL.
  • Experience in data engineering and transformation.
  • Ability to work onsite in Downtown Houston 3 days a week (Tuesday - Thursday).
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.

Preferred Qualifications:

  • Experience with cloud platforms (e.g., AWS, Azure, GCP).
  • Familiarity with machine learning frameworks and libraries.
  • Knowledge of data visualization tools (e.g., Tableau, Power BI).
  • Experience in deploying data science solutions into production environments.

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