Data Scientist
- Cirruslabs
- 3 - 8 years
- Hyderabad
- 3 months ago
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Job Description
looking for Immediate to 15 days' Notice Period
Data Scientist - AI, Machine Learning & Analytics
Solving for Human Capital business domain problems in the areas of People Analytics & Workforce Intelligence, HR Process Automation & AI Solutions, Employee Experience Analytics, Skills & Learning Intelligence, Payroll Compensation & Benefits Optimization. A few examples in these domains are as follows:
People Analytics & Workforce Intelligence
- Build predictive models for employee attrition, performance, and career progression using advanced ML techniques
- Develop talent acquisition analytics to optimize recruitment processes, predict candidate success, and reduce time-to-hire
- Create workforce planning models to forecast headcount needs, skill gaps, and succession planning scenarios
- Design and implement employee sentiment analysis systems using NLP on survey data, feedback, and communication channels
HR Process Automation & AI Solutions
- Develop intelligent chatbots and virtual assistants for employee queries using LLMs and conversational AI
- Build automated resume screening and candidate matching systems using NLP and semantic search
- Create document processing pipelines for HR documents (contracts, policies, benefits) using Document AI and OCR
- Implement anomaly detection systems for compliance monitoring and risk identification in HR processes
Strategic Analytics & Decision Support
- Design executive dashboards and analytics platforms for C-suite visibility into human capital metrics
- Develop ROI models for HR initiatives including learning programs, wellness benefits, and retention strategies
- Build recommendation systems for personalized employee development paths and learning content
- Create network analysis models to understand organizational dynamics, collaboration patterns, and influence networks
Innovation & Product Development
- Lead POCs for emerging technologies in HR tech (Generative AI for performance reviews, VR/AR for training)
- Develop reusable ML assets and accelerators for the HC Forward platform
- Partner with product teams to integrate data science capabilities into client-facing solutions
- Contribute to thought leadership through whitepapers, client presentations, and industry conferences
Client Engagement & Delivery
- Collaborate with client stakeholders to understand business challenges and translate them into data science solutions
- Present complex analytical findings and recommendations to client leadership teams
- Manage end-to-end delivery of data science projects from requirements gathering to production deployment
- Provide technical expertise during client workshops and strategy sessions
- Travel: Based on client needs
Qualifications
Education
- Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, or related Engineering disciplines
- Master's degree preferred
Experience
- 5-6 years of hands-on experience in data science, machine learning, and AI
- Proven track record of end-to-end project delivery from POC to production deployment
- Experience leading technical initiatives
- Nice to have team leadership experience (2-4 member teams)
Required Skills
Core Technical Competencies
- Advanced Python Programming: Expertise in Python with production-level code quality, including OOP, API development, and best practices (linting, testing, documentation)
- Machine Learning Mastery: Deep understanding and practical application of:
- Classical ML algorithms (Random Forests, Gradient Boosting, SVM, clustering techniques)
- Deep Learning frameworks (TensorFlow, Keras, PyTorch)
- Time series forecasting and anomaly detection
- Model evaluation, validation, and optimization techniques
- Data Engineering: Experience with data pipelines, ETL processes, and handling large-scale datasets (TB+ scale)
- Cloud Platforms: Hands-on deployment experience with at least one major cloud platform (AWS, Azure, GCP), including:
- Managed ML services (SageMaker, Azure ML, Vertex AI)
- Containerization and orchestration (Docker, Kubernetes)
- Serverless architectures for ML deployment
Any or both of the NLP / ML Engineering skillsets is applicable.
NLP & Text Analytics
- Experience with modern NLP techniques including transformer models (BERT, GPT)
- Text preprocessing, feature extraction, and representation learning
- Practical applications: sentiment analysis, document classification, named entity recognition
- Working knowledge of NLP libraries (NLTK, spaCy, Hugging Face Transformers)
ML Engineering & Production Systems
- MLOps practices: model versioning, monitoring, and automated retraining
- Building scalable ML pipelines and APIs (FastAPI, Flask)
- Experience with distributed computing frameworks (Spark/PySpark)
- Performance optimization and model compression techniques
Desired Skills
Advanced AI/ML Capabilities
- Generative AI & LLMs: Experience with LangChain, RAG architectures, prompt engineering, and fine-tuning large language models
- Computer Vision: Document AI, OCR technologies, image classification using CNNs/YOLO
- Recommendation Systems: Collaborative filtering, content-based filtering, hybrid approaches
- Advanced Analytics: Causal inference, A/B testing, experimental design
Technical Stack
- Big Data Tools: PySpark, Dask, or similar distributed computing frameworks
- Visualization: Creating impactful dashboards using Tableau, Power BI, or Python libraries (Plotly, Dash)
- Version Control & CI/CD: Git workflows, automated testing, and deployment pipelines
- Database Systems: SQL proficiency, experience with NoSQL databases, vector databases
Specialized Domain Experience (Nice to have)
- Experience in HR Analytics, People Analytics, or Workforce Planning
- Knowledge of financial services, healthcare, or retail domains
Domain & Consulting Skills
Client Engagement
- Excellent communication skills to translate complex technical concepts to non-technical stakeholders
- Experience presenting findings and recommendations to product and engineering leaders
- Ability to understand business context and align solutions with strategic objectives
Innovation Mindset
- Demonstrated ability to identify and implement cutting-edge solutions
- Experience in rapid prototyping and POC development
- Contribution to technical communities (publications, open source, speaking engagements)
Business Acumen
- Understanding of business metrics and KPIs
- Ability to identify opportunities for AI/ML applications in business processes
Job Classification
Industry: Recruitment / StaffingFunctional Area / Department: OtherRole Category: OtherRole: OtherEmployement Type: Full timeContact Details:
Company: CirruslabsLocation(s): Hyderabad
Keyskills: Data Science Artificial Intelligence Natural Language Processing Machine Learning Python Generative Ai Cloud
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