Data Scientist

Forge North Solutions

Oklahoma City (OK)

On-site

USD 150,000 - 213,000

Full time

5 days ago
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Benefits offered by this job

Health insurance
401(k) retirement plan with company  匹
Wellness program (gym memberships, etc
Paid time off

Job summary

Forge North Solutions in Oklahoma City, OK is seeking a passionate Data Scientist for a full-time role. You will analyze complex datasets, develop predictive models for data-driven decisions, and collaborate with engineering and business teams to implement these solutions.

You will join a collaborative environment with a focus on professional growth, access to data visualization and planning tools, and a culture that values learning, mentorship, and strong communication.

Qualifications

  • Degree in data science or a related field.
  • Proficiency in Python or R.
  • Experience with machine learning algorithms and statistical modeling.
  • Strong communication and teamwork skills.

Responsibilities

  • Analyze complex datasets to extract meaningful insights.
  • Develop predictive models to inform business decisions.
  • Collaborate with engineering and business teams to implement data-driven solutions.

Skills

Python
R
Machine Learning
Statistical Modeling
Data Analysis
Communication Skills
Teamwork
Data Visualization

Education

Bachelor's degree in data science or related field

Job description

Forge North Solutions, a tech firm based in Oklahoma City, OK, is seeking a passionate Data Scientist to join our full-time team. We specialize in innovative solutions for the energy sector and are looking for someone to help us unlock the power of data.

As a Data Scientist at Forge North Solutions, you will analyze complex datasets to extract insights, develop predictive models for data-driven decisions, and collaborate with engineering and business teams to implement these models.

You will work in a collaborative, innovative environment with talented professionals in our Oklahoma City, OK office, where you'll engage in a variety of tasks such as data analysis, project management, and client communication. You'll have access to a range of tools and technologies, including software for data visualization, project planning, and communication. We foster a culture of continuous learning and growth, with opportunities for professional development, training programs, and mentorship. Our office is equipped with modern amenities, including comfortable workspaces, ergonomic furniture, and a relaxed dress code. We require a bachelor's degree in a related field, relevant work experience, and strong communication skills.

Available: a competitive compensation package ranging from $150,000 to $212,690 per year, along with comprehensive benefits. Our benefits package includes health insurance, retirement plans, and more. Employees can choose from various health insurance plans that cover a range of services, including doctor visits, hospital stays, and prescription medications. We also provide a 401(k) retirement plan with a company match, encouraging employees to save for their future. Additionally, Available: a wellness program that includes gym memberships, nutrition counseling, and stress management workshops. Our benefits also extend to paid time off, including vacation days, sick leave, and holidays, ensuring employees have time to rest and recharge. We strive to create a supportive and inclusive workplace, where employees can thrive both personally and professionally.

To succeed in this role, you should have a degree in data science or a related field, proficiency in Python or R, experience with machine learning and statistical modeling, strong communication skills, and the ability to work in a team.

  • Analyze complex datasets to extract meaningful insights
  • Develop predictive models to inform business decisions
  • Collaborate with engineering and business teams to implement data-driven solutions
  • Degree in data science, statistics, or a related field, or equivalent experience
  • Proficiency in Python or R
  • Experience with machine learning algorithms and statistical modeling
  • Strong communication and teamwork skills
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