Data Scientist

Forge Prime Inc.; Memphis (TN); Hybrid; USD 100,000 - 140,000; Full time

Benefits offered by this job

Health insurance

401(k) retirement plan

Tuition reimbursement

Job summary

Forge Prime Inc. in Memphis, TN, is seeking a Data Scientist for a full-time role. You will analyze data to drive manufacturing decisions, build predictive models, and create visualizations to optimize processes. The position allows remote work and offers opportunities for growth.

The ideal candidate holds a master's in a related field and has experience with Python, R, SQL, and data visualization tools such as Tableau or Power BI. Salary is negotiable and benefits are provided.

Qualifications

• Master's degree in Data Science, Statistics, CS or related field required.
• Proficiency in Python or R and SQL required.
• Experience with data visualization tools (Tableau or Power BI) preferred.

Responsibilities

• Develop and implement data-driven solutions to optimize manufacturing processes.
• Analyze large datasets to identify trends and insights.
• Collaborate with cross-functional teams to translate business problems.
• Build and maintain predictive models to forecast demand, production, and quality.
• Communicate findings to stakeholders clearly and concisely.

Skills

Python

R

SQL

Machine learning

Data visualization

Education

Master's degree in Data Science / Statistics / Computer Science or related field

Bachelor's degree in Data Science / Statistics / CS or related field

Tools

Tableau

Power BI

Job description

Forge Prime Inc. seeks a Data Scientist in Memphis, TN, for a full-time role. You'll leverage data to drive manufacturing operations and gain a competitive edge. Salary is negotiable.

Daily, you'll analyze data to identify trends, develop predictive models, and create visualizations. You'll collaborate with teams to implement data-driven solutions and improve processes.

In this role, you will collaborate with a diverse team of data professionals, including data scientists, analysts, and engineers, to drive data-driven decision-making. The office is situated in the vibrant city of Memphis, TN, offering a dynamic and inclusive work environment. Additionally, the company provides opportunities for remote work, allowing you to maintain a healthy work-life balance while contributing to the team's success.

The salary is negotiable, with the potential for performance-based bonuses, which can significantly boost the total compensation package. In addition to the base salary, employees are entitled to comprehensive health insurance coverage, which helps manage personal healthcare costs. The company also offers robust retirement plans, including 401(k) options, to support long-term financial security. Furthermore, professional development opportunities are available, such as tuition reimbursement and access to training programs, allowing employees to enhance their skills and advance their careers within the organization. These benefits collectively contribute to a well-rounded compensation and benefits package designed to attract and retain top talent.

You'll need a master's degree in Data Science, Statistics, or a related field. Experience with Python, R, and SQL is required. Knowledge of machine learning and data visualization tools is a plus.

• Develop and implement data-driven solutions to optimize our manufacturing processes.
• Analyze large datasets to identify trends, patterns, and insights that can improve our products and services.
• Collaborate with cross-functional teams to translate business problems into data science solutions.
• Build and maintain predictive models to forecast demand, production, and quality issues.
• Communicate your findings and recommendations to stakeholders in a clear and concise manner.

• A Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
• Proficiency in programming languages such as Python or R.
• Experience with data visualization tools like Tableau or Power BI.
• Strong understanding of statistical methods and machine learning algorithms.
• Excellent communication and teamwork skills.