Data Scientist Position Available In Erie, New York
Tallo's Job Summary: This job listing in Erie - NY has been recently added. Tallo will add a summary here for this job shortly.
Job Description
Data Scientist On-Board Companies – 3.3 Buffalo, NY Job Details Full-time $53 – $60 an hour 16 hours ago Benefits Health insurance Dental insurance 401(k) Vision insurance Life insurance Qualifications Data mining R Mid-level 3 years Algorithms SQL Statistical analysis Analysis skills Database management Machine learning Data science Data visualization AI Communication skills Python Full Job Description On-Board Services is hiring a Data Scientist Remote• in Indianapolis , IN ! For immediate consideration please send your resume to
Subject Line:
Position Title and State you are Located.
About Us:
On-Board Services, Incorporated is an on-site contract service provider for a local manufacturing entity providing full time positions to our employees. We offer benefits as well as 401k.
Position Details:
Position Type:
Contract – 6
Months Job Location:
Buffalo, NY Benefits:
401K, Dental insurance,
Life Insurance, Medical Insurance, Vision Insurance Compensation:
$32.39 •Primarily remote position, will be required to travel occasionally (up to 25%) based on business need (domestic) •You may be working EST and CST hours. However, you must be comfortable working EST hours.
Overview:
This role is pivotal in driving revenue growth management (RGM) through the application of advanced AI techniques. The individual will analyze complex data sets, develop predictive models, and provide actionable insights to support strategic business decisions. They will collaborate closely with stakeholders to identify RGM opportunities and challenges, designing and implementing AI-driven solutions using statistical and machine learning methodologies. Responsibilities also include data cleaning, preparation, and validation, as well as effectively communicating findings and recommendations to both technical and non-technical audiences.
Qualifications:
3-5 years of experience in data science or related field, with a focus on RGM Strong knowledge of statistical analysis, machine learning algorithms, and data visualization techniques relevant to RGM Experience with programming languages such as Python or R Proficiency in SQL and database management Ability to clean and preprocess large datasets for RGM analysis Experience with data mining and data wrangling techniques Strong problem-solving and analytical skills, particularly in RGM contexts Excellent communication and presentation skills, with the ability to convey RGM insights effectively
Requirements:
Develop and implement AI-driven models and algorithms for RGM Analyze and interpret complex data sets to uncover RGM insights Design and execute experiments to test hypotheses and validate RGM models Communicate findings and insights to stakeholders, emphasizing RGM implications Identify opportunities for data-driven decision making in RGM Stay current with industry trends and advancements in AI and RGM Collaborate with cross-functional teams to drive RGM business outcomes Apply Today! www.onboardusa.com On-Board was founded in 1976 by Robert L. Wilson to provide Engineering and Design services to the chemical manufacturing industry. Today, On-Board is a thriving privately held family of companies with services including: Consulting, Professional Engineering, Industrial Maintenance and Facility Management, Contracted Manufacturing and Production Services, as well as Temporary Staffing and Recruiting throughout North America. The On-Board Family of Companies conducts operations through its Corporate Headquarters located in East Windsor, NJ along with Regional Offices in New Castle, DE and Wake Forest, NC. On-Board’s Mission is to provide “Flexible Service by applying the talents of our people, work processes and technology to meet our clients’ expectations in a Safe, Responsible and Dependable manner.” On-Board Companies provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, religion, sex, national origin, age, disability or genetics. JD# 25-04375 INDOJ