Job Brief: VentureDive seeks a Data Scientist to drive data-driven decision-making through exploratory analysis, model building, and product optimization. You'll provide product leadership by communicating data-based recommendations and implementing scalable ML algorithms. Requirements include 7+ years of experience in data mining and predictive modeling, an advanced degree in a quantitative discipline, expertise in deep learning techniques, proficiency in Python and SQL, and familiarity with big data methodologies and visualization tools. 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 a long-term vision on how we can rethink our customer acquisition and engagement strategies leveraging data in our decision making.
Drive exploratory analysis to understand the ecosystem, user behavior; identifying new levers to help move metrics and build models of user behaviors for analysis and product enhancements.
Shape and influence data/ML models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.
Provide product leadership by sharing data-based recommendation to communicate state of business, root cause of change in metrics and experimentation results influencing product and business decision
Implement scalable machine learning algorithms that will be used in production on bigdata.
Embark on exploratory data analysis projects to achieve better understanding of phenomena as well as to discover untapped areas of growth and optimization.
Answer complex analytic questions from big data sets to help Careem shape its products and services in a better way.
Help define and track the appropriate key metrics for specific projects.
Design and run randomized controlled experiments, analyze the resulting data and communicate results with other teams.
You will always challenge the status quo and continually investigate new data processing technologies and seek to ensure that we follow the industry best practices.
Build and deploy retrieval augmented generation systems and other applications of large
language models
Requirements:
7+ years of experience in data mining, predictive modeling, time series analysis, machine learning, Big Data methodologies, transformation and cleaning of both structured and unstructured data.
Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science.
Solid experience with Deep Learning Techniques (LLM is a plus).
Strong problem solving and coding skills.
Solid knowledge of AB testing, classic ML and DL
Solid understanding of recommendations, ranking and retrieval.
Proficiency and demonstrated experience in: Python, SQL, Spark, Hive.
Demonstrated experience with database technologies (e.g. Hadoop, BigQuery, AmazonEMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL).
Demonstrated experience with business intelligence and visualization tools (Tableau,
MicroStrategy, ChartIO, Qlik) along with geospatial data processing skills is a plus.
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!
