

FUSTIS LLC
Sr. Data Scientist with Azure Databricks
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Scientist in Houston, TX, for 8 months at $70-$78/hr. Requires expertise in Azure Databricks, machine learning, statistics, Python, SQL, and Agile methodologies. Strong communication skills and experience in data science projects are essential.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
624
-
ποΈ - Date
April 30, 2026
π - Duration
More than 6 months
-
ποΈ - Location
On-site
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
Houston, TX
-
π§ - Skills detailed
#Python #Data Quality #Datasets #Data Science #Statistics #Agile #R #GIT #Mathematics #Azure Databricks #ML (Machine Learning) #Data Engineering #Azure SQL #SQL (Structured Query Language) #Azure #Matlab #Version Control #Cloud #Databricks
Role description
Job Role: Senior Data Scientist
Location: Houston, TX
Duration: 8 - months
Pay Rate: $70-$78/hr. W2
Description:
We are looking for a candidate with the ability to translate a business question into a data science solution. This requires that you have next to your knowledge of machine learning and/or statistics a good grasp of software development. Next to the data science capabilities and experiences you should be able to clearly and effectively present findings to our colleagues in other areas of expertise and business stakeholders.
The ideal candidate has strong background in quantitative skills (like statistics, mathematics, advanced computing, machine learning) and has applied those skills in solving real world problems across different businesses / functions.
Accountabilities:
β’ Developing data science solutions to business challenges.
β’ Write clean and maintainable production-level code, including tests; the tech stack we work with includes Python, Databricks, GIT, Azure, SQL.
β’ Integrating models into production on a weekly or even daily basis
β’ Work closely with the customer and the Product Owner day-to-day
β’ Work in a highly-collaborative, friendly Agile environment, participate in Ceremonies and Continuous Improvement activities.
β’ Documenting and explaining the results of analysis or modelling to both a technical and non-technical audience
β’ Learning new engineering practices, technologies and continuously improving our Agile practices
Special Challenges:
β’ Rapid onboarding on projects, understanding analytics goal and working with ill-defined datasets
β’ Communicating technical jargon in plain English to colleagues within Data Science team and outside Virtual working with network of colleagues located throughout the globe
Skills & Requirements:
β’ Experience on data science projects.
β’ Broad experience and knowledge in Statistics, Machine Learning and data engineering.
β’ Awareness of issues in statistics and dependence on data quality
β’ A practical approach to problem solving and attention to detail.
β’ Passion for and expertise in practicing data science to solve real-world customer problems.
β’ Excellent oral and written communication skills.
β’ Strong interpersonal skills and enthusiasm for teamwork, as well as the ability to work independently.
β’ High standards of code quality, making use of version control tools.
β’ Proficiency in statistical software packages such as R, Python, Matlab.
β’ Good knowledge of cloud environment like specifically Azure is required.
β’ Experience in Agile working methodology
Software Configuration Management - Knowledge
Software Construction - Knowledge
Software Engineering Economics - Knowledge
Job Role: Senior Data Scientist
Location: Houston, TX
Duration: 8 - months
Pay Rate: $70-$78/hr. W2
Description:
We are looking for a candidate with the ability to translate a business question into a data science solution. This requires that you have next to your knowledge of machine learning and/or statistics a good grasp of software development. Next to the data science capabilities and experiences you should be able to clearly and effectively present findings to our colleagues in other areas of expertise and business stakeholders.
The ideal candidate has strong background in quantitative skills (like statistics, mathematics, advanced computing, machine learning) and has applied those skills in solving real world problems across different businesses / functions.
Accountabilities:
β’ Developing data science solutions to business challenges.
β’ Write clean and maintainable production-level code, including tests; the tech stack we work with includes Python, Databricks, GIT, Azure, SQL.
β’ Integrating models into production on a weekly or even daily basis
β’ Work closely with the customer and the Product Owner day-to-day
β’ Work in a highly-collaborative, friendly Agile environment, participate in Ceremonies and Continuous Improvement activities.
β’ Documenting and explaining the results of analysis or modelling to both a technical and non-technical audience
β’ Learning new engineering practices, technologies and continuously improving our Agile practices
Special Challenges:
β’ Rapid onboarding on projects, understanding analytics goal and working with ill-defined datasets
β’ Communicating technical jargon in plain English to colleagues within Data Science team and outside Virtual working with network of colleagues located throughout the globe
Skills & Requirements:
β’ Experience on data science projects.
β’ Broad experience and knowledge in Statistics, Machine Learning and data engineering.
β’ Awareness of issues in statistics and dependence on data quality
β’ A practical approach to problem solving and attention to detail.
β’ Passion for and expertise in practicing data science to solve real-world customer problems.
β’ Excellent oral and written communication skills.
β’ Strong interpersonal skills and enthusiasm for teamwork, as well as the ability to work independently.
β’ High standards of code quality, making use of version control tools.
β’ Proficiency in statistical software packages such as R, Python, Matlab.
β’ Good knowledge of cloud environment like specifically Azure is required.
β’ Experience in Agile working methodology
Software Configuration Management - Knowledge
Software Construction - Knowledge
Software Engineering Economics - Knowledge






