Job Purpose: Inqline is an AI company with offices in United States, Pakistan, and the Philippines. We are looking for a self-motivated, flexible, and energetic individual to join our Data Science team. The selected candidate will be working as a member of the product development team. The ideal candidate must have sound knowledge and a minimum of years of Data Science experience in an open-source technologies environment.
Inqline is a young company with significant momentum, and at this early stage, the Data Scientist will work cross-functionally with Product Management and Engineering.
Qualifications and Skills:
Education and Experience
● Bachelor’s or a higher education degree in Computer Science/Engineering, Mathematics/Statistics Data Science skills
● Experience with solving machine learning problems using Python
● Knowledge and experience of using a variety of machine learning techniques
(supervised/unsupervised, clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks/tuning techniques.
● Knowledge and experience of using advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) for practical applications.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
● Knowledge and experience in Pandas, Numpy, Sklearn, Featuretools, Auto-sklearn, Matplotlib, Seaborn, etc.
● Explore new machine learning algorithms, and apply them to real-world business applications.
● Deploy Machine Learning models to production, and develop its integration or basic front-end skills (e.g., a predictive web app).
● Knowledge and experience in implementing end to end Data Engineering pipelines
● Understanding and experience with post-production model monitoring.
● Help users discover the Inqline platform and master its use by providing training to users with a wide range of backgrounds and skill levels (data science, IT, analysts, managers, etc)
● A critical part of the Research and Development team
● Design, develop, and test algorithms and Code for Feature Selection, Feature Engineering, Clustering, and Classification.
● Research and Development of new methods for Enhanced Results
● Be part of the Design and Development of Machine Learning System and handle relevant Deployment and Production issues
● Proficient in Python for data science. Bash scripting is a plus.
● Experience in distributed data/computing tools: Must know Postgresql and others are nice to have (such as Map/Reduce, Hadoop, Hive, Spark, Postgresql, etc.)
● Understanding of writing/interacting with web APIs, preferably REST/JSON
● Knowledge of various databases - Relational, NoSql, document, columnar
System Engineering Skills
● Understanding of system engineering concepts and working in a Linux-based environment (OS fundamentals etc). Ubuntu and CentoOS/RHEL mainly.
● High-level understanding of the cloud ecosystem, working with containers (Docker, etc.).
● General understanding of concepts SSH, TLS, network connectivity, firewalls, authentication, and authorization, etc that are required in any enterprise-grade service architecture/solution.
Years of Experience:
A minimum of years of experience is a must requirement to apply for the position.