Master's degree in Business Analytics, Data Analytics, Data Science, Engineering or a related field.
12 months of experience in Data Science, Data Analytics, or Business Analytics.
Proficient in tools and languages such as GitHub, NumPy, Pandas, Python, REST APIs, Scikit-learn, SQL, and Streamlit.
Responsibilities
Gather and analyze data sources, translating business requirements into technical specifications for projects.
Design and maintain ETL data pipelines, AI chatbots, and ML solutions.
Develop and implement business intelligence dashboards.
Analyze data to provide actionable recommendations for business solutions.
Review and validate analysis and design structures.
Produce comprehensive project documentation and reports.
Benefits
Job stability in a growing high-tech industry with opportunities for professional growth.
Competitive salary with a 401(k) retirement plan that includes employer matching.
Comprehensive healthcare benefits including Medical, Dental, Vision, and Disability coverage.
Over 3 weeks of paid vacation along with a flexible holiday schedule and hybrid work options.
Supportive work environment that fosters collaboration and inclusivity.
Full Job Description
Job Title: Lead Consultant
Location: Bedminster, New Jersey
Job Type: Full-Time
Position: Lead Consultant
Key Responsibilities
Gather data sources, analyze business requirements and translate into technical specifications for various business intelligence, data analytics and AI/ML projects using GitHub, NumPy, Pandas, Python, REST APIs, Scikit-learn, SQL, and Streamlit;
Design, implement and maintain extract, transform, load (ETL) data pipelines, AI chatbots and ML solutions;
Develop business intelligence/data dash boards;
Examine the data and information gleaned from the data gathering and modelling to provide recommendations for business solutions;
Structure, review and validate analysis and designs; and
Producing project documentation and reports.
Qualifications
Master's degree in Business Analytics, Data Analytics, Data Science, Engineering or related field.
12 months' experience in Data Science, Data Analytics, Business Analytics field.
Experience with GitHub, NumPy, Pandas, Python, REST APIs, Scikit-learn, SQL, and Streamlit.
What We Offer
Stability and Growth: Full-time employment in a growing high-tech industry with a meritocratic culture that provides opportunities for professional growth.
Competitive Compensation: A competitive salary and a 401(k) retirement plan with an employer match.
Comprehensive Benefits: Robust healthcare and benefits package including Medical, Dental, Vision, and Disability coverage.
Work-Life Balance: 3+ weeks of paid vacation, a flexible holiday schedule, and hybrid working arrangements that balance on-site and remote work.
Supportive Community: A welcoming, collaborative, and inclusive culture where you can learn from exceptional professionals and make a significant impact.
