Match score not available

Data Scientist - Remote

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or Mathematics., Minimum of 2 years of experience in data science or analytics., Proficient in Python or R and data analysis libraries., A Ph.D. is a plus..

Key responsabilities:

  • Analyze large datasets for trends and correlations.
  • Develop predictive models and machine learning algorithms.
  • Create data visualizations and dashboards.
  • Conduct research on new data sources.
  • Collaborate with cross-functional teams.
  • Ensure data quality and reliability.
  • Prepare detailed reports on data findings.
  • Automate data processing workflows.
HoloHire logo
HoloHire
2 - 10 Employees
See more HoloHire offers

Job description

Are you a data enthusiast with a knack for uncovering hidden patterns and driving data-driven decisions? We are seeking a Data Scientist to join our innovative team remotely. In this role, you will analyze complex data sets, develop predictive models, and provide actionable insights that influence strategic business decisions. This position offers an excellent opportunity to apply your data science skills and contribute to impactful projects.

Position Details:

  • Location:  Fully Remote
  • Employment Type:  Full-Time

Your Responsibilities:

  • Data Analysis:  Analyze large datasets to identify trends, patterns, and correlations that inform business strategies.
  • Model Development:  Develop and implement predictive models and machine learning algorithms to solve complex business problems.
  • Data Visualization:  Create compelling data visualizations and dashboards to effectively communicate insights to stakeholders.
  • Research:  Conduct research to identify new data sources and innovative methods to enhance data analysis capabilities.
  • Collaboration:  Work closely with business analysts, engineers, and other stakeholders to integrate data-driven solutions into business processes.
  • Data Management:  Ensure the quality, consistency, and reliability of data through effective data management practices.
  • Reporting:  Prepare and present detailed reports on data findings, model performance, and recommendations for improvement.
  • Automation:  Automate data collection, processing, and analysis workflows to increase efficiency and scalability.

Requirements

Who We're Looking For:

  • Educational Background:  Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. A Ph.D. is a plus.
  • Professional Experience:  Minimum of 2 years experience in data science, analytics, or a similar role.
  • Technical Skills:  Proficient in programming languages such as Python or R, and experienced with data analysis libraries and tools (e.g., pandas, NumPy, TensorFlow, PyTorch).
  • Analytical Thinking:  Strong ability to analyze large and complex data sets to derive meaningful insights.
  • Problem-Solver:  Excellent problem-solving skills with a focus on innovative and effective solutions.
  • Communication:  Outstanding verbal and written communication skills, capable of presenting data insights to non-technical stakeholders.
  • Collaboration:  Proven ability to work effectively within cross-functional teams in a remote setting.
  • Detail-Oriented:  Meticulous attention to detail and a commitment to data accuracy and integrity.
  • Continuous Learner:  Eager to stay updated with the latest data science techniques, tools, and technologies.

Benefits

Why Choose Us:

  • Remote Flexibility:  Enjoy the freedom to work from anywhere while maintaining a healthy work-life balance.
  • Professional Growth:  Access to ongoing training, workshops, and mentorship from experienced data science professionals.
  • Career Advancement:  Opportunities for promotion and career development within a forward-thinking organization.
  • Innovative Culture:  Be part of a team that values creativity, experimentation, and continuous improvement.
  • Comprehensive Benefits:  Receive a competitive benefits package, including health insurance, paid time off, and more.
  • Impactful Work:  Contribute to projects that drive significant business decisions and operational improvements.

Elevate your data science career with us. Apply today and help transform data into actionable insights that drive success!


Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving
  • Collaboration
  • Communication
  • Analytical Thinking
  • Detail Oriented

Data Scientist Related jobs