Job Description

We are looking for a data scientist who can help us find interesting patterns and insights on data and make the data actionable.

Responsibilities:

• Analyze data for trends and patterns, and Interpret data with a clear objective in mind
• Communicate analytic solutions and models that affect the business decisions to stakeholders
• Orchestrate analytical models and relevant data sources into production by collaborating with software developers, data engineers and machine learning engineers
• Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets
• Tune and improve models, and clean and validate data for uniformity and accuracy before taking the models into production

Requirements:

• 2+ years of experience in implementing data science techniques to drive the decision making
• Proficiency in data mining, mathematics, and statistical analysis
• Advanced pattern recognition and predictive modelling experience
• Prior experience working with unstructured and missing small to large scale datasets
• Prior experience with modelling high dimensional data with classification and regression techniques
• Should have knowledge of SQL for querying relational data sets
• Fluency in one of the modern data processing languages like Python, Scala, etc.
• Good understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Hands-on knowledge in distributed data processing engines like Spark is a big plus
• Experience with BI and analytic tools like Tableau, PowerBI is a big plus

Qualification:

• BS/MS degree in Computer Science, Engineering or a related subject

Nice to Have:

• An active github account with open source contributions
• Certifications, Conferences Participation, Published Journals, Papers and Articles

Work Hours:

• Full Time(Mon – Fri, 9:00AM – 6:00PM)

MUST have:

Good Attitude, Dedication, Unceasing Learning, Sincerity, Good Academic Background