URGENT HIRING – Senior Data Scientist – 3+ years of experience – Immediate to 15 days notice preferr

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.

About the Role (Senior Data Scientist)

We are seeking a

Senior Data Scientist

with a strong background in

machine learning and data-driven modeling , who can apply analytical techniques to solve complex business and cybersecurity challenges. The ideal candidate will have deep expertise across

classification, regression, clustering, and time-series modeling , with a keen interest or prior experience in the

security and threat intelligence

domain. The candidate must have experience in full life cycle of such model development like EDA, Feature Selection, Test and Deployment on various cloud / on-prem environment.

Key Responsibilities :

Design, develop, and deploy scalable

machine learning models

for classification, regression, and forecasting.

Apply

statistical and predictive modeling

to identify security threats, detect anomalies, and improve system resilience.

Perform

exploratory data analysis (EDA)

to understand data patterns, identify anomalies, and generate actionable insights.

Implement

model monitoring, evaluation, and retraining workflows

to ensure reliability and performance.

Conduct

feature engineering, model validation, and performance optimization

using robust evaluation frameworks.

Utilize

cloud platforms and container technologies

(AWS, Azure, GCP, Docker, Kubernetes) for scalable deployment.

Design, develop, and maintain scalable

data pipelines

for model training and deployment.

Mentor

junior data scientists

and provide guidance on best practices in data science and modeling.

Required Skills & Qualifications :

Education :

Master’s or PhD in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related).

Machine Learning & Statistical Modeling :

Hands-on experience in

Time SeriesForecasting, Classification, Regression models .

Strong grasp of

data preprocessing, feature selection, and model evaluation techniques .

Data Handling & Engineering :

Proficiency in

Python ,

SQL & NoSQL , and

Data Modelling / Data Engineering .

ML Frameworks :

scikit-learn, TensorFlow, PyTorch.

Cloud & Deployment : Familiarity with

AWS, Azure, or GCP

and

containerization technologies .

Domain Knowledge : Exposure to

security-related datasets

or threat detection systems.

Excellent problem-solving, communication, and stakeholder management skills.

Optional / Nice-to-Have Skills :

Experience with

MLOps

and CI / CD for ML pipelines.

Familiarity with

big data tools

(Spark, Hadoop).

Strong experience mentoring or leading data science teams.

Understanding of

feature drift

and

model monitoring

in production environments.

Experience : 3+ years

Location : Bangalore

Work Mode : Hybrid

Notice Period :

Immediate joiners preferred, up to 15 days’ notice accepted