Futuremindz llc: Sr. Data Scientist (Part-Time, Remote)

CloudDevs; Town of Texas (WI); Remote; USD 100,000 - 150,000; Part time

Job summary

A leading tech firm is seeking a Sr. Data Scientist for a part-time remote role. The ideal candidate will have 9-12 years of experience in data science, with a strong focus on building and refining machine-learning models. Responsibilities include working with large data sets, creating dashboards, and collaborating with product teams. Proficiency in programming languages such as Python and R, as well as cloud platforms, is essential. This position offers flexible hours with a focus on data quality and performance.

Qualifications

• 9-12 years of experience in data science and applied machine learning.
• Proficiency in Python, R, SQL, and cloud platforms.
• Strong grasp of data modeling and feature engineering.

Responsibilities

• Build and refine machine-learning models for business use-cases.
• Work with large data sets to generate actionable insights.
• Create dashboards and reports for decision-makers.

Skills

Python

R

SQL

AWS

GCP

Azure

Spark

Hadoop

Tableau

Power BI

Job description

###### LocationAnywhere, Latams**Headquarters:** TexasJob Title: Sr. Data Scientist (Part-Time, Remote) Experience: 8-12 years Work Type: Part-Time (Remote) Employment Type: W2 only (No OPT / CPT) Note: H-1B candidates are also welcome to apply. About the Role We’re looking for a senior Data Scientist with strong practical experience who can take ownership of solving complex data challenges. This is a remote part-time role designed for experienced professionals who prefer flexible hours. Key Responsibilities • Build and refine machine-learning models and statistical approaches for business use-cases. • Work with large data sets to generate insights and actionable recommendations. • Partner with product and engineering teams to integrate models into business processes. • Create dashboards, reports, and visualizations for decision-makers. • Review and optimize existing models for performance and accuracy. • Maintain high standards for data quality and security. Required Skills • 9-12 years of experience in data science and applied machine learning. • Proficiency in Python, R, SQL, and one or more cloud platforms (AWS, GCP, or Azure). • Strong grasp of data modeling, feature engineering, and deployment practices. • Experience with big-data tools (Spark, Hadoop, or similar). • Knowledge of visualization tools such as Tableau or Power BI. • Excellent problem-solving and communication skills. If u are interested to Phone: