Lead Data Scientist

Job title: Lead Data Scientist

Company: VentureDive


Job description: Job Brief
VentureDive is seeking a visionary and experienced Data Science and Machine Learning Lead to spearhead our data initiatives and drive innovation through advanced analytics and machine learning. This role involves leading a talented team of data scientists and engineers, defining the strategic direction for data science within the company, and overseeing the development and deployment of cutting-edge ML models and data-driven solutions for both internal projects and client engagements. You will be instrumental in shaping how VentureDive leverages data to create value and competitive advantage.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:
Leadership & Strategy:

• Lead, mentor, and grow a team of data scientists and machine learning engineers.
• Define and execute the data science and machine learning strategy aligned with VentureDive’s business goals and client needs.
• Identify opportunities to apply AI/ML techniques to solve complex business problems and create innovative products/features.
• Stay abreast of the latest advancements in AI, machine learning, and data science, and champion their adoption where relevant.

Project Execution & Delivery:

• Oversee the end-to-end lifecycle of data science projects, from ideation and data collection to model development, deployment, and monitoring.
• Ensure the delivery of robust, scalable, and effective machine learning models and data solutions.
• Collaborate closely with and coordinate project execution alongside product managers, engineers, designers, and client stakeholders to understand requirements, manage expectations, and deliver impactful results.
• Establish best practices for data science workflows, model validation, MLOps, and data governance.

Technical Expertise & Guidance:

• Provide technical leadership and guidance on complex data science problems, algorithm selection, and model architecture.
• Conduct code reviews, ensure model quality, and promote high standards of technical excellence within the team.
• Foster a culture of experimentation, data-driven decision-making, and continuous learning.

Communication & Collaboration:

• Effectively communicate complex technical concepts and findings to both technical and non-technical audiences, including senior leadership and clients.
• Build strong relationships with cross-functional teams and external partners.

Required Qualifications:

• Master’s degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or a related quantitative field.
• Experience with GenAI frameworks such as LangChain, LlamaIndex, or similar.
• Proven experience (typically 7+ years) in data science and machine learning, with a strong portfolio of delivered projects.
• Demonstrated experience (typically 2+ years) in leading and managing data science teams.
• Deep understanding of statistical modeling, machine learning algorithms (supervised, unsupervised, deep learning), and data mining techniques.
• Proficiency in programming languages commonly used in data science, particularly Python, and associated libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• Experience with MLOps practices and tools (e.g., MLflow, Kubeflow), including model versioning strategies.
• Proficiency with version control systems, particularly Git.
• Experience working in a consulting or client-facing role.
• Experience with at least one cloud platform (AWS, Azure, or GCP) and their ML services.
• Strong analytical, problem-solving, and critical-thinking skills.
• Excellent communication, presentation, and interpersonal skills.

Preferred Qualifications:

• Experience with MLOps practices and tools (e.g., MLflow, Kubeflow).
• Experience developing LLM applications (e.g., Text-to-SQL, Agentic RAG systems) is a plus.
• Experience working in a consulting or client-facing role.
• Subject matter expert in specific domains like FinTech and Finance

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 honestAre 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!#LI-HybridPowered by JazzHR

Expected salary:

Location: Pakistan

Job date: Sat, 26 Apr 2025 03:26:41 GMT

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