Data Scientist

Time Series AI

Source: Other Source

Views: 1105|Published on: Mar 17, 2025|

IT & Telecommunication

Mid Level

Contract

Vacancy: 1

Kathmandu|

Experience: Not Required|

Job Description

Roles and responsibilities of this job

About the job

Job Title: Contract Data Scientist | ML Engineer (Time Series Forecasting) - 3 Months
Location: Kathmandu, Nepal
Job Type: Contract (3 Months)
Pay Range: NPR 20,000 - 35,000 per month

About the Role

We are seeking a skilled Data ML Engineer with expertise in time series forecasting and ensemble model development to join our team on a 3-month contract. The ideal candidate will have a strong statistical background, hands-on experience deploying machine learning models in Snowflake, and a passion for contributing to open-source communities. This role requires timely delivery of production-ready code and a deep understanding of end-to-end model training and deployment workflows.

Key Responsibilities

Design, develop, and deploy ensemble models in Snowflake for time series forecasting tasks.
Collaborate with cross-functional teams to integrate ML solutions into production pipelines.
Contribute daily to open-source forums (e.g., GitHub, Kaggle, Stack Overflow) to stay updated and share insights.
Ensure code is optimized, scalable, and delivered on schedule for deployment.
Stay updated with emerging technologies and best practices in time series forecasting.
Document workflows, model performance, and deployment processes.

Requirements

Must-Have Skills:

Proven experience with time series forecasting (e.g., ARIMA, Prophet, LSTM).
Expertise in building and deploying ensemble models (bagging, boosting, stacking).
Strong statistical background (hypothesis testing, distributions, regression).
Hands-on experience with Snowflake for data warehousing and ML deployment.
Proficiency in Python/R and ML libraries (Scikit-learn, TensorFlow, PyTorch).
Familiarity with MLOps tools (MLflow, Kubeflow) and version control (Git).
Active participation in open-source communities (share portfolio/GitHub profile).
Ability to write clean, production-ready code under tight deadlines.

Preferred Skills:

Experience with cloud platforms (AWS, Azure, GCP).
Knowledge of Snowpark, Snowflake’s ML features, or dbt.
Familiarity with AutoML tools (H2O, TPOT) for rapid prototyping.

Important Time Series Forecasting Technologies

Candidates should be familiar with:

Classical Methods: ARIMA, SARIMA, Exponential Smoothing.
Machine Learning: Prophet, XGBoost, LightGBM, CatBoost.
Deep Learning: LSTM, GRU, Transformer-based models.
Tools: TensorFlow, PyTorch, Darts, Statsmodels.
Cloud/MLOps: Snowflake ML, AWS SageMaker, MLflow, Airflow.

Why Join Us?

Work on cutting-edge ML projects with real-world impact.
Flexible remote/hybrid work options.
Opportunity to grow your open-source portfolio.

Job Specification

Required qualifications for this job

Required Education Level:Other

Required Experience:Not Required

Skills Required

Required skills for this job

Analytics

Statistics

Deep Learning

Python (Programming Language)

Quantitative Analytics

Applying Procedure

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Apply Before: Mar 24, 2025

About the organization

Time Series AI

Information / Computer / Technology

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