Alined Consulting Group
Job Overview
Data Scientist II focused on AI, ML, and GenAI. Role includes building predictive models, mentoring team members, and collaborating with business stakeholders. Hiring at Alined Consulting Group in Chicago, IL. Compensation
Base pay range: $140,000 - $160,000 per year. Additional benefits described by recruiter. Responsibilities
Lead data science projects that impact company objectives. Utilize data mining techniques, ML models, and deep learning frameworks to assist business decision‑making. Develop and deploy predictive models in cloud‑based environments. Mentor team members on methodologies, model tuning, and evaluation techniques. Translate complex business problems into actionable project plans. Qualifications
5+ years of experience leading data science projects with direct impact. PhD degree in quantitative fields (Statistics, Data Science, Computer Science) or equivalent experience. 3+ years of experience in data mining and ML for business decisions. Hands‑on experience with deep learning frameworks, LLMs, GenAI tools, and NLP. Strong statistical and machine learning expertise, ability to mentor. Proficiency in Python, SQL, and cloud‑hosted data platforms (GCP, AWS, etc.). Excellent communication and collaboration skills with cross‑functional stakeholders. Seniority Level
Mid–Senior level Employment Type
Full‑time Job Function
Information Technology Industries
IT Services, IT Consulting, Transportation, Logistics, Supply Chain, Storage
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Data Scientist II focused on AI, ML, and GenAI. Role includes building predictive models, mentoring team members, and collaborating with business stakeholders. Hiring at Alined Consulting Group in Chicago, IL. Compensation
Base pay range: $140,000 - $160,000 per year. Additional benefits described by recruiter. Responsibilities
Lead data science projects that impact company objectives. Utilize data mining techniques, ML models, and deep learning frameworks to assist business decision‑making. Develop and deploy predictive models in cloud‑based environments. Mentor team members on methodologies, model tuning, and evaluation techniques. Translate complex business problems into actionable project plans. Qualifications
5+ years of experience leading data science projects with direct impact. PhD degree in quantitative fields (Statistics, Data Science, Computer Science) or equivalent experience. 3+ years of experience in data mining and ML for business decisions. Hands‑on experience with deep learning frameworks, LLMs, GenAI tools, and NLP. Strong statistical and machine learning expertise, ability to mentor. Proficiency in Python, SQL, and cloud‑hosted data platforms (GCP, AWS, etc.). Excellent communication and collaboration skills with cross‑functional stakeholders. Seniority Level
Mid–Senior level Employment Type
Full‑time Job Function
Information Technology Industries
IT Services, IT Consulting, Transportation, Logistics, Supply Chain, Storage
#J-18808-Ljbffr