Job Brief: We are seeking a highly skilled and motivated Data Scientist who is responsible for the development, deployment, and enhancement of the organization’s machine learning models and advanced analytics artifacts. The candidate works with the business analysts, applications consultants, data engineers, and DevOps engineers to understand and lead in the implementation of artificial intelligence / machine learning requirements and handle end-to-end ML lifecycle from business understanding, data acquisition and transformation, modelling, and deployment. The candidate will create visualizations, presentations and summary reports of the business problems and the devised data science solution, explaining the results and business evaluation metrics based on the modelling exercise, and discuss the insights with key stakeholders to inform decision making. 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 world-wide. 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:
Build predictive models and machine-learning algorithms,
Use machine learning tools and statistical techniques to produce solutions to business problems,
Analyze large amounts of information to discover trends and patterns,
Acquire, process, clean, and put in usable format both structured and unstructured data,
Perform exploratory data analysis and present information using data visualization techniques,
Experiment with different models to solve problems and hand and select the best model based on model evaluation and business metrics,
Operationalize machine learning models for both batch scoring and online scoring,
Monitor deployed ML models for data drift and initiate models retraining when required,
Develop ML pipelines to automate the workflow of ML models’ lifecycle,
Conduct research and develop AI/ML prototypes and proof of concepts,
Evaluate new and emerging AI/ML technologies,
Keeps track of industry best practices and trends and through acquired knowledge, takes advantage of process and system improvement opportunities,
Develop and maintain technical documentation and operational procedures.
Qualification Requirements:
Bachelor's degree in fields like Computer Science, Computer Engineering, Business Analytics, or a related field.
Certifications on data science, machine learning, AI such as Microsoft Data Scientist or AI Engineer is preferred.
Advanced working knowledge and experience in machine learning and deep learning using ML platforms like Scikit-learn, TensorFlow, PyTorch, and Keras.
Advanced working knowledge and experience using Python, SQL, and R for machine learning.
Experience in data acquisition, transformation, and visualization using Python libraries, R, and SQL
Experience in Big Data ML projects using tools like Apache Spark, Databricks, Hadoop etc.
Experience of ML implementation using cloud computing in Azure, AWS, Google, IBM etc.
A successful history of building predictive models, NLP, and computer vision applications.
A successful history of manipulating, processing, and extracting insights from large, disconnected datasets.
Coding knowledge and experience with several languages like C#, Node, JavaScript is a plus.
Strong analytic skills related to working with unstructured datasets.
Proficiency with data mining, mathematics, and statistical analysis
Must have a good understanding of CI/CD practices and Azure DevOps
Proficiency with data science, mathematics, and statistical analysis
Strong understanding of business processes, requirements analysis, and collaboration with business system and data products owner.
Previous experience working with different business systems including ERP, HRMS, Supply Chain or financial solutions is required.
Required Experience: Must have:
5+ years of Data Science and Machine Learning experience,
Experience with data visualization tools — Power BI, Tableau preferred
Experience with popular libraries like scikit-learn, XGBoost, TensorFlow, or PyTorch.
Experience cleaning, aggregating, and pre-processing large datasets.
SaaS and Open-Source GenAI models fine-tuning, datasets preparation, evaluation, and security
Open-source GenAI models Quantization and performance enhancements techniques
Open-source GenAI production deployment and monitoring (both on-prem and cloud)
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 worldwide, 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!
