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Senior Data Scientist - Remote / Telecommute
Senior Data Scientist - Remote / TelecommuteCynet Systems • Nashville, TN
Senior Data Scientist - Remote / Telecommute

Senior Data Scientist - Remote / Telecommute

Cynet Systems • Nashville, TN
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
  • [filters.remote]
[job_card.job_description]

Job Description:
  • The Senior Data Scientist will design, build, and deploy advanced forecasting and analytics solutions with a strong focus on time-series modeling, cloud-based data platforms, and supply chain demand forecasting.
  • This role partners closely with business and engineering teams to deliver scalable, high-impact data science solutions.
Responsibilities:
  • Build, train, and deploy time-series forecasting models using XGBoost, Random Forest, linear regression-based models, ARIMA, SARIMA, Holt-Winters, and Prophet.
  • Operationalize end-to-end model pipelines using cloud platforms such as Google Cloud Platform, AWS, or Azure.
  • Perform feature engineering, hyperparameter tuning, model validation, and continuous improvement of forecasting pipelines.
  • Develop scalable data processing workflows using Python, PySpark, and SQL.
  • Work with large datasets in cloud-native analytics and modeling environments.
  • Collaborate with data engineering teams to ensure reliable data pipelines and high-quality training data.
  • Design and implement anomaly detection systems to identify volume, pattern, and trend deviations.
  • Build automated alerting frameworks for early detection of data or forecast issues.
  • Perform root cause analysis on anomalies and recommend long-term corrective actions.
  • Develop and maintain accuracy measurement frameworks including MAPE, RMSE, MAE, WAPE, and bias metrics.
  • Continuously optimize model performance based on accuracy evaluations.
  • Communicate model performance, accuracy trends, and insights to technical and business stakeholders.
  • Apply domain expertise in retail supply chain, inventory planning, replenishment, and demand forecasting.
  • Partner with business teams to translate forecasting requirements into data science solutions.
Requirement/Must Have:
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Minimum of 5 years of experience as a Data Scientist with hands-on model development.
  • Strong programming skills in Python including PySpark, Pandas, NumPy, SciPy, and scikit-learn.
  • Hands-on experience with time-series forecasting, regression models, and ensemble techniques.
  • Strong SQL skills with experience working on large-scale datasets.
  • Experience working with Google Cloud Platform or similar cloud environments.
  • Ability to diagnose data issues, perform anomaly analysis, and build automated alerting solutions.
Should Have:
  • Experience in retail, supply chain, inventory, or demand forecasting domains.
  • Exposure to MLOps practices including CI/CD pipelines, model monitoring, and retraining workflows.
Skills:
  • Time-series forecasting and statistical modeling.
  • Cloud-native data science and analytics.
  • Data anomaly detection and alerting systems.
  • Strong analytical, problem-solving, and communication skills.
Qualification And Education:
  • Bachelor’s or Master’s degree in a quantitative or technical discipline.

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Senior Data Scientist - Remote / Telecommute • Nashville, TN

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