Data Scientist
Arkhya Tech. Inc.
Harrison, NJ (In Person)
Full-Time
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Job Description
Type:
full-timeJob Description:
Role Overview We are looking for a skilled Data Scientist with strong experience in Time Series Forecasting, Predictive Analytics, and Machine Learning to join a leading analytics consulting engagement. The ideal candidate will have hands-on expertise in developing and deploying forecasting models for business and operational use cases. Key Responsibilities ? Develop, validate, and deploy time series forecasting models for business and operational planning. ? Work on predictive analytics and demand forecasting projects. ? Build ML-driven solutions using statistical and machine learning techniques. ? Analyze large datasets and derive actionable business insights. ? Collaborate with stakeholders to understand business requirements and translate them into analytical solutions. ? Contribute to end-to-end model development lifecycle including feature engineering, model evaluation, deployment, and monitoring. ? Participate in client discussions and present analytical findings effectively. Required Skills ?Strong programming experience in:
? Python ? R ? SQL / NoSQL ? Spark ? Experience withCloud Platforms:
? AWS ? Azure ? GCP ?Hands-on experience in:
? Time Series Forecasting ? Predictive Analytics ? Demand Planning ? Statistical Modeling ? Experience with Python libraries/frameworks such as: ? NumPy ? Pandas ? Scikit-learn ? TensorFlow ? BERT ? Scrapy ?Strong understanding of:
? Statistics ? Hypothesis Testing ? Machine Learning Algorithms Preferred Machine Learning Expertise ? Random Forest ? Neural Networks ? Decision Trees ? Logistic Regression ? K-Means Clustering ? Linear Regression ? PCA Domain Experience Experience in one or more of the following domains is preferred: ? Retail ? Banking ? Insurance ? Supply Chain / Demand Planning Qualifications ? 4-8 years of relevant industry experience. ? Strong communication and stakeholder management skills. ? Prior consulting/client-facing experience is preferred. ? Ability to work in a fast-paced analytics environment.Similar remote jobs
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