*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 it’s 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:

• Bachelor’s 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.