Data Scientist - Generative AI- ML

Liberty Personnel Services, Inc.; Cherry Hill Township (NJ); Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Comprehensive medical coverage

403(b) retirement plan

Competitive compensation package

Job summary

Liberty Personnel Services, Inc. is looking for a talented Data Scientist to leverage machine learning and Generative AI for business strategies. The role requires an advanced degree and over 7 years of experience in data manipulation, predictive modeling, and statistical analysis.

With a competitive compensation package, comprehensive medical coverage, and a robust retirement plan, this position offers a hybrid or remote work environment. Strong communication skills and proficiency in programming languages are key for presenting findings effectively.

Qualifications

• Over 7 years of professional experience in data manipulation and building statistical models.
• Expertise in predictive modeling, machine learning, and statistical analysis.
• Experience with data mining and AI techniques, including LLM-based applications and NLP models.

Skills

Predictive modeling

Machine learning

Statistical analysis

Data visualization

Programming (Python, R, SQL, Java, JavaScript, C, C++)

Communication skills

Analytical abilities

Collaboration skills

Education

Advanced degree in Statistics, Mathematics, Computer Science

Tools

Tableau

Job description

Unlock the potential of your data career with us! We are seeking a talented Data Scientist who is passionate about using machine learning and Generative AI to revolutionize business strategies.

Benefit from a competitive compensation package, comprehensive medical coverage, a robust 403(b) retirement plan, and a variety of other perks—all within a hybrid or remote work environment.

Qualifications

• Advanced degree (Master’s, PhD, or Bachelor’s) in Statistics, Mathematics, Computer Science, or related field.
• Over 7 years of professional experience in data manipulation and building statistical models, or an equivalent blend of education and experience.
• Expertise in predictive modeling, machine learning, and statistical analysis.
• Proficient in programming languages like Python, R, SQL, Java, JavaScript, C, or C++.
• Experience with data mining and AI techniques, including LLM-based applications and NLP models.
• Skilled in data visualization tools such as Tableau.
• Excellent communication skills for presenting findings to diverse audiences.
• Strong analytical abilities, attention to detail, and the ability to work collaboratively.
• Capable of managing multiple priorities while ensuring data quality and confidentiality.