Data Scientist

2 days ago


Bengaluru, Karnataka, India Andor Tech Full time

Position: Data Scientist(6+Years)

Location: Bangalore--Eco world

Work mode: WFO

Need Immediate Joiners

Job Description

We are looking for a highly skilled and experienced Data Scientist with strong expertise in Python, Time Series Analysis, Forecasting, AI, and Machine Learning. The ideal candidate will have a proven track record of building, deploying, and optimizing predictive and statistical models to solve complex business problems and drive data-driven decisions.

Key Responsibilities

  • Design, develop, and implement advanced time series forecasting and predictive models.
  • Apply machine learning and AI techniques to solve real-world business challenges.
  • Analyze large, complex datasets and extract meaningful insights for decision-making.
  • Build and optimize data pipelines and workflows using Python and related frameworks.
  • Collaborate with cross-functional teams including Product, Engineering, and Business stakeholders.
  • Conduct statistical analysis, hypothesis testing, and model validation.
  • Create clear and compelling visualizations and reports to communicate findings.
  • Stay up to date with the latest trends and advancements in AI, ML, and data science.

Required Skills & Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • 6+ years of professional experience as a Data Scientist.
  • Strong expertise in Python (NumPy, Pandas, Scikit-learn, Statsmodels, PyTorch/TensorFlow).
  • Hands-on experience with time series modeling (ARIMA, SARIMA, Prophet, LSTM, etc.).
  • Proficiency in forecasting techniques and building production-ready predictive models.
  • Solid foundation in machine learning algorithms (supervised, unsupervised, reinforcement learning).
  • Familiarity with AI techniques, natural language processing (NLP), and deep learning is a plus.
  • Strong knowledge of SQL and data querying.
  • Experience with cloud platforms (AWS, Azure, or GCP) and MLOps frameworks preferred.
  • Excellent problem-solving, communication, and collaboration skills.

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