Senior Data Scientist

Job Brief

The

Senior Data Scientist

is responsible for transforming complex business problems into scalable Machine Learning and AI solutions. You will navigate the entire End-to-End ML Lifecycle, from initial business discovery and the extraction of insights from datasets to the deployment of high-performance models in cloud and on-prem environments.

In this role, you will act as a technical bridge, collaborating closely with Data Engineering to ensure robust data pipelines and with Business Intelligence (BI) teams to translate model outputs into actionable, executive-level insights. Beyond traditional predictive modeling, you will explore and implement Agentic AI frameworks to enhance system autonomy and reasoning. You must be adept at communicating technical complexities to cross-functional partners, ensuring every solution is production-ready and directly addresses key organizational challenges.

VentureDive Overview

Founded in 2012 by veteran technology entrepreneurs from MIT and Stanford, VentureDive is the fastest-growing technology company in the region that develops and invests in products and solutions that simplify and improve the lives of people worldwide. We aspire to create a technology organization and an entrepreneurial ecosystem in the region that is recognized as second to none in the world.

Key Responsibilities

Problem Transformation

Translate complex business challenges into technical AI/ML solutions.

EDA & Hypothesis Testing

Conduct deep-dive exploratory data analysis to validate business assumptions and identify hidden patterns.

Model Development

Design and train high-performance predictive models and ML algorithms tailored to business KPIs.

Deployment & Scaling

Operationalize models for both real-time and batch scoring in cloud and on-prem environments.

MLOps & Automation

Develop automated CI/CD pipelines to manage the full ML lifecycle and version control.

Production Monitoring

Implement proactive monitoring for data drift and establish automated retraining protocols.

Cross-Functional Synergy

: Collaborate with Data Engineering for feature optimization and BI teams for executive-level data storytelling.

Technical R&D

Research and prototype emerging technologies like model quantization and small language models (SLMs).

Governance

Maintain rigorous technical documentation, operational procedures, and model performance logs.

Required Technical Skills

Programming

Python (Expert), SQL (Expert), or R.

ML/DS

Scikit-learn, Pandas, pyCaret, statsmodel, ML algorithms & libraries (supervised & unsupervised)

Deep Learning

PyTorch, TensorFlow, or Keras.

Cloud

Azure ML, GCP or AWS (SageMaker, bedrock)

MLOps & DevOps

Azure DevOps, GitHub Actions, MLflow, or DVC.

Visualization

Power BI, Tableau, Plotly, or Streamlit.

Nice to have

• LangChain or LlamaIndex; Hugging Face (Transformers/PEFT); Langraph and Vector Databases (Milvus, Qdrant, or Pinecone).
• OpenAI API, Vertex AI (Gemini), or Azure AI Studio.

Qualifications & Experience

Industry Expertise

4+ years of professional experience in Data Science and Machine Learning, with a preference for candidates who have delivered use cases in Telecommunications (e.g., Demand Forecasting, Procurement Analytics) or Service-Oriented sectors (e.g., KPI optimization and Operational Risk Mitigation).

Complex Data Handling

Proven track record of working with "messy" or disconnected datasets to extract high-value insights and validate business hypotheses.

End-to-End Delivery

Expert at building, deploying, and maintaining ML pipelines and predictive models in production environments.

Business Systems Integration

Hands-on experience manipulating and mining data from core business systems such as ERP, HRMS, CRM, or Supply Chain solutions.

Agentic & Gen AI Exposure

Experience developing and deploying Generative AI use cases, specifically focusing on RAG and Agentic AI frameworks.

Unstructured Data Mastery

Strong proficiency in processing and extracting value from unstructured sources, including logs, text, and sensor data.

Cloud & Cross-Functional Collaboration

Extensive experience implementing ML solutions via Cloud (Azure, AWS, or GCP) while collaborating with Data Engineering, DevOps, and Business Stakeholders to deliver end-to-end products.

What we look for beyond required skills

In order to thrive at VentureDive, you

…are intellectually smart and curious

…have the passion for and take pride in your work

…deeply believe in VentureDive’s mission, vision, and values

…have a no-frills attitude

…are a collaborative team player

…are ethical and honest

Are you ready to put your ideas into products and solutions that will be used by millions?

You will find VentureDive to be a quick pace, high standards, fun and a rewarding place to work at. Not only will your work reach millions of users world-wide, you will also be rewarded with competitive salaries and benefits. If you think you have what it takes to be a VenDian, come join us ... we're having a ball!

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