Full Time

Data Scientist - Remote Opportunity

Torentify
Full-time
Associate
IT System Data Services
United States
Remote!
$110,000 - $160,000* / year

Job Description

About the Role


We are seeking an experienced Data Scientist to analyze complex datasets, develop predictive models, and generate insights that support business decisions. In this role, you will work closely with business stakeholders to identify opportunities for data-driven growth, communicate findings through visualizations, and help ensure the accuracy and reliability of data used for analysis.


Key Responsibilities


Analyze complex datasets to identify trends, patterns, and actionable insights.

Develop and implement predictive models to support business decisions.

Collaborate with business stakeholders to identify opportunities for data-driven growth.

Design and implement data visualizations to communicate findings effectively.

Ensure data quality and integrity through validation and testing.

Apply data mining techniques and data modeling methods to support analytical initiatives.

Stay up to date with industry trends and emerging technologies in data science.


Required Qualifications


  • At least 3 years of experience in data science or a related field.
  • Strong knowledge of machine learning algorithms and statistical modeling.
  • Experience with programming languages such as Python, R, and SQL.
  • Understanding of data visualization tools such as Tableau and Power BI.
  • Experience with big data technologies such as Hadoop and Spark.
  • Strong understanding of data mining techniques, data modeling, and core data science concepts.
  • Proven experience analyzing complex datasets and developing predictive models.
  • Excellent problem-solving and communication skills.
  • Master's degree in Data Science, Computer Science, Statistics, or a related field.


Preferred Qualifications


  • Data Scientist certification or a related professional certification is optional.


Compensation and Benefits


  • Hourly Rate: $80–$95 per hour.
  • Opportunity to work with a growing organization.
  • Collaborative and supportive work environment.
  • Professional development opportunities.
  • Flexible working hours and remote work options.

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