Data Scientist Remote

HENRY SMALL; United States; Remote; USD 100,000 - 720,000; Full time

Job summary

A leading company is seeking an experienced Data Scientist to harness data insights to enhance decision-making and deliver analysis regularly. The ideal candidate will have strong expertise in mathematical and statistical analysis, with a passion for data. Responsibilities include developing statistical models and working with teams across product engineering to drive product capabilities and enhance smart business processes.

Qualifications

• Seven or more years of experience in data science.
• Proficiency with data mining, mathematics, and statistical analysis.
• Experience with predictive modeling and pattern recognition.

Responsibilities

• Collaborate with teams to develop an understanding of needs.
• Conduct analytical experiments across various domains.
• Clean and validate data for accuracy.

Skills

Data Mining

Mathematical Analysis

Statistical Analysis

Pattern Recognition

Predictive Modeling

Creative Problem-Solving

Education

Bachelor's or Master's Degree in Data Science or related field

Tools

Excel

PowerPoint

Tableau

SQL

Python

SAS

Job description

3 weeks ago Be among the first 25 applicants

we rely on insightful data to power our systems and solutions. We’re seeking an experienced data scientist to deliver insights on a daily basis. The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative mind. While mining, interpreting, and cleaning our data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data full potential. As part of a team of specialists, the data scientist will “slice and dice” data using various methods and create new visions for the future.

This is a remote position.

we rely on insightful data to power our systems and solutions. We’re seeking an experienced data scientist to deliver insights on a daily basis. The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative mind. While mining, interpreting, and cleaning our data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data full potential. As part of a team of specialists, the data scientist will “slice and dice” data using various methods and create new visions for the future.

Objectives of this role

• Collaborate with product design and engineering teams to develop an understanding of needs
  
• Research and devise innovative statistical models for data analysis
  
• Communicate findings to all stakeholders
  
• Enable smarter business processes by using analytics for meaningful insights
  
• Keep current with technical and industry developments
  

Responsibilities

• Serve as lead data strategist to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products
  
• Execute analytical experiments to help solve problems across various domains and industries
  
• Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
  
• Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy
  
• Analyze data for trends and patterns, and interpret data with clear objectives in mind
  
• Implement analytical models in production by collaborating with software developers and machine-learning engineers
  

Requirements


Required skills and qualifications

• Seven or more years of experience in data science
  
• Proficiency with data mining, mathematics, and statistical analysis
  
• Advanced experience in pattern recognition and predictive modeling
  
• Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS)
  
• Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects
  

Seniority level

• Seniority level

  Executive

Employment type

• Employment type

  Full-time

Job function

• Job function

  Administrative

• Industries

  Government Relations Services

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