Data Scientist Role

New

Skills

Power BI Predictive Modeling Prophet PySpark Python RandomForest SARIMA SQL Statistical Methods XGBoost

We are seeking a skilled Data Scientist to apply statistical methods for deriving insights and building predictive models. The ideal candidate will possess the ability to explain complex models to stakeholders and visualize data effectively.

Key Responsibilities
  • Apply statistical methods to derive insights and build predictive models.
  • Explain complex models (RandomForest, XGBoost, Prophet, SARIMA) to stakeholders.
  • Visualize data using Power BI, ggplot, and matplotlib.
  • Write efficient, reusable code for data manipulation and analysis.
  • Design scalable dashboards and analytical tools for cross-functional use.
  • Prototype analytics solutions and develop ML models for large datasets.
Requirements & Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related technical field.
  • 3+ years of data science and analytics experience with time series models.
  • Familiarity with Jira, DataBricks, or AWS; proficient in Python.
  • Experience with PySpark, SQL, and data cleaning packages (pandas, numpy).
  • Proficiency with ML libraries (statsmodels, prophet, mlflow, scikit-learn, pyspark.ml).
  • Knowledge of GLM/regression, random forests, boosting, and text mining.
  • Competence in SQL and relational databases; able to use Power BI for visualization.
  • Strong communication and collaboration skills.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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