Machine Learning Engineer – Forecasting & ...

Machine Learning Engineer – Forecasting & Optimization (Fortune 100 Co Direct Hire) No C2C or H1BMachine Learning Engineer – Forecasting & Optimization (Fortune 100 Co Direct Hire) No C2C or H1BGet AI-powered advice on this job and more exclusive features.We are looking for a talented MI Engineer to join our team and help us turn data into actionable insights. You will work with large datasets, develop predictive models, and deliver data-driven solutions that support business objectives across various functions. The ideal candidate is proficient in statistical analysis, machine learning, and data visualization, and has a passion for solving complex problems.Key Responsibilities:Collect, clean, and analyze large datasets to identify trends, patterns, and opportunities.Develop, test, and deploy predictive models and machine learning algorithms to solve business challenges.Collaborate with cross-functional teams including product, marketing, and engineering to translate business needs into data science solutions.Create clear and compelling visualizations and reports to communicate findings and recommendations to stakeholders.Continuously improve data processes and pipelines to ensure data quality and accessibility.Stay current with emerging data science techniques and tools to drive innovation.Support experimentation and A/B testing to validate hypotheses and measure impact.Qualifications:Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.Experience with data analysis tools and programming languages such as Python, R, SQL, and/or SAS.Strong understanding of machine learning algorithms and statistical modeling techniques.Proficiency with data visualization tools like Tableau, Power BI, or matplotlib/seaborn.Experience working with large datasets and data engineering concepts.Excellent problem-solving skills and attention to detail.Strong communication skills with the ability to explain complex concepts to non-technical audiences.Preferred Qualifications:Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Hadoop, Spark).Familiarity with deep learning frameworks such as TensorFlow or PyTorch.Knowledge of business intelligence and domain-specific knowledge relevant to the industry.Why Join Us?Opportunity to work on impactful projects that drive business growth.Collaborative environment that fosters learning and petitive salary and benefits package.Professional development and career advancement opportunities.Seniority levelSeniority levelAssociateEmployment typeEmployment typeFull-timeJob functionJob functionInformation Technology and EngineeringIndustriesInformation Services and Technology, Information and MediaReferrals increase your chances of interviewing at Confidential by 2xInferred from the description for this jobMedical insurance401(k)Paid maternity leaveStudent loan assistancePension planPaid paternity leaveDisability insuranceGet notified when a new job is posted.Sign in to set job alerts for “Machine Learning Engineer” roles.Entry Level Software Engineer, application via RippleMatchGreater Houston $130,000.00-$150,000.00 3 weeks agoHouston, TX $90,000.00-$122,000.00 2 days agoMachine Learning Software Engineer-Senior AssociateMachine Learning Engineer, Gen AI Innovation Center, AWSTechnology Specialist (Machine Learning)Houston, TX $100,000.00-$185,000.00 6 days agoHouston, TX $112,597.33-$152,810.66 1 month agoNASA Human Spaceflight Artificial Intelligence (AI) Software Engineer and Data ScientistData Scientist – NLP & Real World Evidence (RWE) - RemoteWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Created: 2025-09-17