Data Scientist
- Cirruslabs
- 3 - 8 years
- Hyderabad
- 7 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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We build technology solutions that meet business needs. Were specialists in the Cloud, Internet of Things, Analytics, and Automation. But were more than just techpeoplewere peoplepeople. You can expect real conversations where your needs are heard. And you can expect our dedication to doing whatever...
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