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Data Scientist (Machine Learning & Forecasting)
Data Scientist (Machine Learning & Forecasting)
Ampera Technologies's logo

Data Scientist (Machine Learning & Forecasting)

Faisal AshrafNomani's profile picture
Posted by Faisal AshrafNomani
5 - 15 yrs
Best in industry
Bengaluru (Bangalore), Chennai, Hyderabad
Skills
skill iconMachine Learning (ML)
Forecasting
skill iconData Science

Job Description – Data Scientist (Machine Learning & Forecasting)

 

About the Role

We are looking for a highly skilled Data Scientist with strong expertise in Machine Learning, Traditional Statistical Modelling, Forecasting, and Predictive Analytics. The ideal candidate will have hands-on experience building and deploying end-to-end ML solutions, working with large datasets, and translating business problems into scalable data science solutions.

The role requires a strong foundation in statistics, predictive modelling, feature engineering, model evaluation, and time-series forecasting, along with the ability to collaborate with cross-functional teams to deliver business impact.



Key Responsibilities

  • Design, develop, and deploy Machine Learning models for business-critical use cases.
  • Build and optimize traditional ML models such as:
  • Linear Regression
  • Logistic Regression
  • Decision Trees
  • Random Forest
  • Gradient Boosting (XGBoost, LightGBM, CatBoost)
  • Support Vector Machines
  • Clustering Algorithms
  • Develop forecasting solutions using:
  • ARIMA / SARIMA
  • Prophet
  • Exponential Smoothing
  • Time-Series Regression Models
  • Perform exploratory data analysis (EDA), feature engineering, and data validation.
  • Evaluate model performance using appropriate statistical and business metrics.
  • Work with structured and semi-structured datasets from multiple sources.
  • Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
  • Build scalable data pipelines and support model deployment in production environments.
  • Monitor model performance, identify data drift, and implement model retraining strategies.
  • Present insights and recommendations to technical and non-technical stakeholders.

 

Required Skills & Qualifications

 

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related quantitative field.
  • 5+ years of hands-on experience in Data Science, Machine Learning, and Forecasting.

Technical Skills

   Machine Learning

  • Strong understanding of supervised and unsupervised learning algorithms.
  • Experience with ensemble methods and advanced ML techniques.
  • Expertise in model selection, hyperparameter tuning, and performance optimization.

Forecasting & Statistics

  • Strong understanding of:
  • Time-Series Analysis
  • Forecasting Techniques
  • Statistical Inference
  • Hypothesis Testing
  • Probability Distributions
  • A/B Testing

Programming

  • Advanced proficiency in Python.
  • Experience with:
  • Pandas
  • NumPy
  • Scikit-learn
  • Statsmodels
  • XGBoost / LightGBM
  • Prophet

Data & SQL

  • Strong SQL skills with experience in complex queries and performance optimization.
  • Experience working with large-scale datasets.

Visualization

  • Experience with Power BI, Tableau, Matplotlib, Seaborn, or Plotly.
  • Cloud & MLOps (Preferred)
  • Exposure to AWS, Azure, or GCP.
  • Understanding of Docker, Kubernetes, CI/CD, and ML model deployment practices.

 

Key Competencies

  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder management abilities.
  • Ability to work independently in a fast-paced environment.
  • Strong business acumen and data-driven decision-making mindset. 




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Shubham Vishwakarma

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About Ampera Technologies

Founded :
2024
Type :
Services
Size :
20-100
Stage :
Profitable

About

At Ampera Technologies, we empower businesses with cutting-edge data analytics, quality assurance, and data engineering solutions

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Company social profiles

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