
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.

About Ampera Technologies
About
At Ampera Technologies, we empower businesses with cutting-edge data analytics, quality assurance, and data engineering solutions
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How to Apply: If you are a dedicated Video Editor with a passion for fostering a positive workplace culture and have at least 1+ year of relevant experience, we invite you to apply for this exciting opportunity. Make sure to include "Video Editor Application" in the subject line.
Join our team and contribute to our continued success as a Video Editor dedicated to the growth!
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Through curated volunteering opportunities, end-to-end program management, and impact measurement, Goodera offers a seamless volunteering experience. Goodera enables non-profits to create a sustainable impact by raising money, increasing visibility, and building long-term volunteers for causes they support. Goodera is coheadquartered in San Mateo, CA, and Bangalore, India. For more details, please visit http://www.goodera.com" target="_blank">www.goodera.com
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Detailed Job Description:
- Should have experience in Development, Configuration, Implementation, and Support of Salesforce CRM applications based on Apex Language and leveraging Force.com Platform running in Cloud Computing Environments.
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About Pristyn Care
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