Sr. Business Data Analyst & Modeler

• Excellent knowledge of working with PHP Symfony / Laravel / CodeIgniter
• Must possess a strong understanding of Object-Oriented technology
• Knowledge of any PHP CMS or Framework will be a plus – Laravel / Symfony / CodeIgniter, Zend Framework
• Excellent communication (written and oral) and interpersonal skills.
• Work primarily with PHP, object-oriented design, dynamic content retrieval, Unit testing techniques, debugging techniques, HTTP, MySQL and Apache

About Us

We are a fast-growing startup based in Pune, India, specializing in cutting-edge Data Science and Data Engineering solutions. Our team of dedicated professionals is committed to solving complex data challenges for companies worldwide.

Our Culture We foster a vibrant startup culture that values: • Intellectual curiosity • Continuous learning • Positive work environment • Collaborative problem-solving

Role Overview

We are seeking a versatile and proactive Data Scientist to join our dynamic team. The ideal candidate will possess a blend of technical expertise in modern AI/ML technologies, strategic planning, and effective communication skills. This role demands critical thinking, applying data science and problem-solving skills to a wide variety of real-world problems, adaptability to rapidly evolving technologies, and a strong foundation in both traditional and generative AI principles.

Key Responsibilities • Deliver end-to-end data science projects by applying Machine Learning and Deep Learning fundamentals to solve complex problems • Derive actionable insights for a variety of problems, industries, and domains using statistical analysis and advanced data science techniques • Develop high-quality software solutions with Python and other programming languages. Collaborate with developers to understand and improve existing code or create new solutions • Build and deploy production-ready LLM applications using modern frameworks and best practices • Design and implement RAG (Retrieval-Augmented Generation) architectures using vector databases and embedding models • Perform prompt engineering and optimization to maximize LLM performance for specific use cases • Implement agentic AI systems and multi-agent workflows for complex automation tasks • Evaluate and benchmark LLM outputs using appropriate metrics and testing frameworks • Build sophisticated data pipelines for large-scale data processing using modern orchestration tools • Optimize database performance and create efficient SQL queries • Deploy and monitor ML models in production using MLOps practices and containerization • Practice active listening to understand project requirements and team inputs • Collaborate with clients to translate business requirements into data science solutions • Communicate complex ideas and results clearly to stakeholders through both verbal and written formats • Apply responsible AI principles and ensure ethical considerations in model development • Demonstrate punctuality and a strong sense of ownership in all tasks • Plan strategically and multitask efficiently to meet project deadlines • Employ critical thinking to break down problems and debug effectively • Take initiative and be biased towards action to drive project progress Required Skills Core Programming & ML • Strong Python programming skills with hands-on project experience • Expertise in Machine Learning and Deep Learning algorithms (Random Forests, GBMs, Neural Networks, CNNs, RNNs, Transformers, Ensemble methods) • Proficiency in TensorFlow or PyTorch, along with scikit-learn and pandas • Familiarity with modern ML techniques: Transfer Learning, Few-shot Learning, Self-supervised Learning • Experience with NLP, Computer Vision, or Time Series Analysis Generative AI & LLMs • Hands-on experience with LLM providers (OpenAI, Anthropic Claude, Google Gemini, or open-source models) • Proficiency with GenAI orchestration frameworks (LangChain, LangGraph, LlamaIndex, or DSPy) • Experience building RAG applications with vector databases (Pinecone, Weaviate, Chroma, FAISS) • Strong prompt engineering skills and understanding of prompt optimization techniques • Knowledge of fine-tuning techniques (LoRA, QLoRA) and when to apply them • Understanding of LLM evaluation metrics and benchmarking methodologies • Familiarity with agentic AI architectures and multi-agent systems MLOps & Deployment • Experience with MLOps practices and tools (MLflow, Kubeflow, Weights & Biases) • Proficiency with containerization using Docker and orchestration with Kubernetes • Experience with cloud platforms (AWS, Azure, or GCP) for ML model deployment and monitoring • Understanding of CI/CD pipelines for ML applications • Knowledge of model serving frameworks and API development (FastAPI, Flask, or Django) Data Engineering & Databases • Solid understanding of SQL, including advanced concepts like windowing functions and query optimization • Experience with data pipeline orchestration tools (Airflow, Prefect, or similar) • Familiarity with both SQL and NoSQL databases Soft Skills & Professional Attributes • Strong critical thinking and problem-solving skills • Excellent written and verbal communication abilities • Demonstrated ability to work well in a team and independently • High degree of flexibility and adaptability to rapidly evolving technologies • Understanding of AI safety principles and responsible AI practices

Nice-to-Have • Experience with big data technologies (Spark, Hadoop, Databricks) • Familiarity with BI tools and dashboard creation (Tableau, Power BI, Looker) • Knowledge of graph databases and knowledge graph construction • Experience with real-time streaming data processing • Active participation in data science competitions (Kaggle, DrivenData) • Contributions to open-source AI/ML projects or technical blog • Experience with multimodal AI models (vision-language models, audio processing) • Published research papers or conference presentations

Qualifications • Data Scientist I: 0-2 years of hands-on experience in Data Science projects • Data Scientist II: 2-5 years of hands-on experience in Data Science projects • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related technical field • Demonstrated commitment to continuous learning through courses, certifications, or self-study (especially in GenAI and modern ML techniques)

What We Offer • Competitive salary commensurate with experience • Opportunity to work on diverse, cutting-edge AI/ML projects • Collaborative and innovation-driven work environment • Rapid growth and continuous learning opportunities • Exposure to latest AI technologies and industry best practices

Link for application -  https://forms.gle/9GENVfPeXdtgi7Zj7

Candidate should have a consultative approach not just pre sales call approach. 

2. Must be from B2B SAAS, MarTech or SalesTech but product based company only

3. Should be able to prepare pitch decks for the clients

4. 3 to 5 years of experience in a Solutions Consultant, Pre-Sales Engineer, Technical Consultant, or similar customer-facing technical role

5. Solid technical foundation with the ability to explain complex concepts clearly

6. Exceptional communication and presentation skills, with the ability to articulate value and technical information effectively

7. Expereince between 3 to 6 years will only be considered. More than 6 years candidates are not applicable

Preferred companies to find candidate for this role - Cvent, Bizzabo, Airmeet, Hubilo, Hopin, vFairs, ON24, Goldcast, Webex Suite, BigMarker, Stova, Splash and EventMobi.

Job Overview:

We are looking for a seasoned OpenStack Administrator with strong expertise in managing large-scale production environments. The ideal candidate should have hands-on experience with Linux, Kubernetes, and OpenShift, and be capable of performing routine maintenance, upgrades, and troubleshooting in complex cloud infrastructures.

The candidate must also be comfortable working with Red Hat support, managing escalations, and communicating effectively with both internal teams and external clients.

Key Skills & Qualifications:

• Proven experience managing OpenStack infrastructure in production.
• Strong proficiency in Linux system administration (RHEL/CentOS preferred).
• Hands-on experience with Kubernetes and OpenShift.
• Experience with system monitoring, log management, and troubleshooting tools.
• Familiarity with RH support portal, managing cases, and following up on resolutions.
• Excellent problem-solving skills and ability to work under pressure.
• Strong client communication skills and ability to articulate technical issues clearly.
• Proven ability to work in and manage large-scale production environments.

Candidates with OpenStack certification will be preferred.

Job description

Company Description

Honeycomb Creative Support is an integrated marketing communication agency, with

nearly 14 years of experience marketing in diverse sectors such as lifestyles, IT,

pharmaceuticals, healthcare, education, manufacturing, and automotive. The firm

provides creative design and marketing services to local and international clients

using creative vision, information analysis, strategic thinking, and execution to sell

ideas and unique products to the target audience. Honeycomb provides services such

as Web Design & Development, Graphic Design, Corporate and Product Video

Production, Digital Marketing, Branding, Fine-Art Printing and On-site Creative

Studio at Client Location.

Role Description

If you are looking for an exciting opportunity to work with an established marketing

communications agency, you have come to the right place. We are looking for a full-

time On-Site Back End developer Laravel | Exp: 2 to 3 Years | 3 - 5 LPA, based in

Greater Bengaluru Area. As a Back End Engineer at Honeycomb Creative Support,

you will be a part of our development team, responsible for building server

applications and APIs.

Qualifications

• PHP and PHP Frameworks

• Laravel and CodeIgniter must

• Good Knowledge in any MVC Frameworks.

• Basic knowledge of AWS

• MySQL

• Basic knowledge in Node.js

• Experience with building RESTful APIs and API development

• Knowledge of GIT-based source control

• Understanding of how to test and debug web applications

• Understanding of modern PHP development practices, design patterns, and SOLID principles

• Bachelor's or Master's degree in Computer Science or equivalent

• Good problem-solving skills and attention to detail.

Desired Candidate Profile

Work Location - Bangalore

The Data Analytics Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.

Responsibilities:

• Build and enhance the software stack for modelling and data analytics
• Incorporate relevant data related algorithms in the products to solve business problems and improve them over time
• Automate repetitive data modelling and analytics tasks
• Keep up to date with available relevant technologies, to solve business problems
• Become a subject matter expert and closely work with analytics users to understand their need & provide recommendations/solutions
• Help define/share best practices for the business users and  enforce/monitor that best practices are being incorporated for better efficiency (speed to market & system performance)
• Share daily/weekly  progress made by the team
• Work with senior stakeholders & drive the discussions independently
• Mentor and lead a team of software developers on analytics related product development practices

Qualifications:

• 10-13 years of data engineering experience.
• Experience in working on machine-learning model deployment/scoring, model lifecycle management and model performance measurement.
• In-depth understanding of statistics and probability distributions, with experience of applying it in big-data software products for solving business problems
• Hands-on programming experience with big-data and analytics related product development using Python, Spark and Kafka to provide solutions for business needs.
• Intuitive with good interpersonal-skills, time-management and task-prioritization
• Ability to lead a technical team of software developers and mentor them on good software development practices.
• Ability to quickly grasp the business problem and nuances when put forth.
• Ability to quickly put together an execution plan and see it through till closure.
• Strong communication, presentation and influencing skills.

Education:

• Bachelor’s/University degree or equivalent experience
• Data Science or Analytics specialization preferred

• Firm grasp of the JavaScript (and TypeScript ) language and its nuances
• Knowledge of (functional or object-oriented) programming
• Ability to write well-documented, clean Javascript code
• Rock solid at working with third-party dependencies and debugging dependency conflicts
• Familiarity with native build tools.
• Understanding of REST APIs, the document request model, and offline storage
• Experience with automated testing suites.