Data Scientist

Role: Data Scientist Location: Bellevue, WA (Onsite) Position Type : Contract JOB DESCRIPTION Role and responsibilities: • 7+ years in data science, analytics, or related fields. • Proven track record of delivering data-driven business solutions and deploying ML models in production. • Experience leading projects or mentoring junior team members is preferred. • Strong proficiency in Python, R, or similar programming languages. • Deep knowledge of machine learning frameworks (Scikit-learn, TensorFlow, PyTorch, XGBoost). • Expertise in statistical analysis, data visualization, and predictive modeling. • Experience with SQL, NoSQL databases, and data engineering pipelines. • Familiarity with cloud platforms (AWS, Azure, GCP) and big data tools (Spark, Hadoop) is a plus. • Strong analytical thinking, problem-solving skills, and business acumen. • Excellent communication skills to present technical insights to stakeholder Analyze complex datasets to identify trends, patterns, and business opportunities. • Build, validate, and deploy machine learning models for predictive, classification, or recommendation purposes. • Perform feature engineering and data preprocessing to improve model performance. • Stay up-to-date with emerging techniques in machine learning, deep learning, NLP, and AI. • Apply advanced statistical and AI methods to solve business challenges. • Experiment with new algorithms, frameworks, and tools for improved accuracy and scalability. • Collaborate with Data Engineers and DevOps teams to deploy models into production. • Monitor model performance, retrain models as needed, and ensure data quality. • Document model assumptions, limitations, and decision-making processes. • Work closely with product managers, business stakeholders, and engineering teams to align data science solutions with business needs. • Mentor junior data scientists and provide technical guidance on modeling, coding, and best practices. • Present insights and findings to technical and non-technical stakeholders effectively. • Ensure adherence to data governance, privacy, and compliance policies. • Address ethical considerations in AI and data modeling. Best Regards, • Bismillah Arzoo (AB)