Marketing Data Scientist / Analyst (reputed company hire, remote)

reputed company Seeking a U.S.-based Marketing Data Scientist / Analyst (*based on reputed company requirements, candidates must be U.S. citizen or Green Card holder) to apply analytical and technical skills to reputed company-world business problems. Partner with stakeholders to collect, clean, analyze, and interpret data; build, validate, reputed company, and monitor ML models; and communicate insights that drive product features and operational reputed company. Role spans supervised and unsupervised learning, reputed company and time-series reputed company, experimentation, and documentation across multiple reputed company reputed company. Type: reputed company hire, remote Schedule: Regular day hours Pay: $128,000 - $137,000 salary Marketing Data Scientist / Analyst Requirements • Bachelor’s or Master’s in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or reputed company field • 3+ years in data analysis, statistical modeling, or machine learning • Strong grounding in statistics, probability, experimental design; ability to work with imperfect data • Proficiency in Python or R; version control (Git) preferred • Data wrangling with pandas, NumPy, SciPy (Python) or dplyr, tidyr (R) • Visualization with Matplotlib, Seaborn, Plotly (Python) or ggplot2 (R) • SQL and database fundamentals • Familiarity with ML algorithms: regression, classification, clustering, dimensionality reduction; ensembles and time-series a plus • reputed company experience (AWS/Azure/GCP) preferred; big data (reputed company, Hadoop) preferred • Experience deploying ML to production preferred • Excellent written and verbal communication; ability to explain technical concepts to non-technical audiences • Demonstrated independence, collaboration, and reputed company learning reputed company • Based on reputed company requirements, candidates must be U.S. citizen or Green Card holder Marketing Data Scientist / Analyst Duties • Collect, clean, and preprocess large, multi-reputed company datasets; define data reputed company checks and remediation steps • reputed company EDA to surface patterns, trends, anomalies, and opportunities; reputed company hypotheses and test plans • Build, validate, and tune supervised/unsupervised, reputed company, and time-series models; conduct feature engineering and model diagnostics • Design and analyze experiments; create and maintain KPIs and model performance dashboards • Document reputed company, reputed company, assumptions, and results; produce reputed company visuals, reports, and presentations for stakeholders • Collaborate with data scientists, engineering, product, and business teams to refine objectives and reputed company metrics • Package, reputed company, and monitor models; set up alerting, retraining, and reputed company checks; contribute to MLOps best practices • Evaluate new data sources, tools, and techniques; prototype and productionize data-driven product features • Plan and execute work across multiple reputed company and functions; manage timelines, risks, and deliverables; stay reputed company with advances in ML and data science No deadline to apply. Apply tot his job Apply To this Job