*Urgent* Data Scientist/4-6 Years Experience/Forecasting Algorithms/ML Models

About Senzcraft:

Founded by IIM Bangalore and IEST Shibpur Alumni, Senzcraft is a hyper-automation company. Senzcraft vision is to Radically Simplify Today's Work. And Design Business Process for the Future. Using intelligent process automation technologies.

We have a suite of SaaS products and services, partnering with automation product companies.

Please visit our website - https://www.senzcraft.com for more details

• Our AI Operations SaaS platform https://MagicOps.ai
• Senzcraft on linkedin -> https://www.linkedin.com/company/senzcraft

Senzcraft is awarded by Analytics India Magazine in its report State of AI in India as a Niche AI startup. Senzcraft is also recognized by NY based SSON as a top hyper-automation solutions provider.

Job Description:

Role: Data Scientist

Experience:4-6 Years

Location: Bangalore (Hybrid)

Key Responsibilities:

Develop, maintain, and optimize forecasting Machine Learning (ML) models for better accuracy.

Collaborate with other data scientists and data engineers to ensure that specifications are translated into flexible, scalable, and maintainable solutions.

Research and stay abreast of state-of-the-art machine learning technologies.

Follow code standards and best practices.

Minimum Qualifications:

Bachelors degree in Computer Science, Data Science, Mathematics, or related technical field.

4-6 years experience in data science or 3 years direct experience building forecasting solution.

Familiar with forecasting algorithms, such as Time Series (Arima, Prophet), ML (GLM, GBDT, XgBoost), Hierarchical model (Top Down, Bottom Up), DL (Seq2Seq, Transformer), and Ensemble methods.

Hands-on experience with building end-to-end ML models, pipelines & productionizing

Experience with Git, Bitbucket, Airflow, Druid, Superset, Hadoop Ecosystem, MLflow, Kubeflow, Databricks or equivalents.

Experience & Knowledge of large-scale data processing and distributed systems such as Hadoop and SPARK.

Strong coding skills in Python, Spark and SQL.

Exposure in various statistical modelling, machine learning algorithm/techniques (ML)

Experience with optimisations, debugging, fine-tuning existing applications in distributed computing environment for high performance and scalability with Big Data.

Exposure in tools/framework to monitor and analyse ML model performance and data accuracy.