Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Senior Data Scientist Algorithms.
India Jobs Expertini

Urgent! Senior Data Scientist - Algorithms Job Opening In Bangalore urban – Now Hiring AuxoAI Engineering Pvt. Ltd.

Senior Data Scientist Algorithms



Job description

AuxoAI is seeking a Senior Data Scientist with deep expertise in advanced algorithms and scientific rigor to lead strategic initiatives.

In this role, youll apply machine learning, causal inference, Bayesian methods, and statistical modeling to solve high-impact business problems and guide AI-native product development.

This position is ideal for someone who combines technical depth with curiosity and discipline, and enjoys mentoring others while translating complexity into clarity.

Location: Mumbai/Bengaluru/Hyderabad/ Gurgaon (Hybrid) Responsibilities: Lead the design and development of algorithms across ML, causal inference, and AI problem spaces Conduct exploratory data analysis, feature engineering, and statistical modeling with an emphasis on interpretability and reproducibility Benchmark and optimize models using advanced algorithms such as gradient boosting (XGBoost/LightGBM), survival analysis, Bayesian hierarchical models, causal impact analysis, and probabilistic graphical models Translate complex models into clear, scalable solutions in collaboration with engineering and product teams Establish best practices for experimentation, validation frameworks, and responsible AI across projects Mentor junior data scientists and foster a high-standard, knowledge-sharing environment Stay up to date with emerging techniques in optimization, causal inference, reinforcement learning, bandits, and MCTS Requirements 6+ years of experience delivering production-grade statistical and machine learning solutions Strong foundation in hypothesis testing, Bayesian inference, and experimental design Proven experience with classical ML algorithms, including boosted trees, GLMs, survival models, and ensemble methods Proficient in Python and key libraries such as pandas/Polars, scikit-learn, and StatsModels Demonstrated ability to turn ambiguous business questions into measurable statistical models Ability to communicate insights effectively to both technical and non-technical audiences Exposure to MLOps tools and cloud-based environments is a plus Advanced degree (M.S./Ph.D.) in Statistics, Computer Science, or a related field

5+ years
Bachelor’s degree in Computer Science, Engineering, or related field; or equivalent work experience.

Proven experience as a DevOps Engineer or similar role with hands-on expertise in AWS and Azure cloud environments.

Strong proficiency in Azure DevOps, Git, GitHub, Jenkins, and CI/CD pipeline automation.

Experience deploying and managing Kubernetes clusters (EKS, AKS) and container orchestration platforms.

Deep understanding of cloud-native architectures, microservices, and serverless computing.

Familiarity with Azure Synapse, ADF, ADLS, and AWS data services (EMR, Redshift, Glue) for data integration and analytics.

Solid grasp of infrastructure as code (IaC) tools like Terraform, CloudFormation, or ARM templates.

Experience with monitoring tools (e.g., Prometheus, Grafana) and logging solutions for cloud-based applications.

Excellent troubleshooting skills and ability to resolve complex technical issues in production environments.


Required Skill Profession

Management



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your Senior Data Potential: Insight & Career Growth Guide