یہ کمپنی اب اس نوکری کیلیۓ مزید سی ویزنہیں لے رہی۔

Senior Data Scientist

UnQa

جنوری ۱۵, ۲۰۱۸ شائع ہوئی

PKR. 100,000 - 150,000/Month

The ideal candidate's must have deep technical experience working with technologies related to artificial intelligence, natural language procesing machine learning and/or deep learning. A strong mathematics and statistics background is required, in addition to experience building complex classification models. You must be familiar with the ecosystem of software vendors in the AI/ML space.

Candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Responsibilities

Analyze raw data: assessing quality, cleansing, structuring for downstream processing
Design accurate and scalable prediction algorithms
Collaborate with engineering team to bring analytical prototypes to production
Generate actionable insights for business improvements

Qualifications

Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
At least 2 -3 years' of experience in quantitative analytics or data modeling
Deep experience with AI/ML platforms
Working knowledge of things like Sci-kit Learn, Tensorflow
Scaling out ecosystems in the ML/AI space
Strong expertise with classification models
Solid grounding in statistics, probability theory, data modeling, machine learning algorithms, natural language procesing and software development techniques and languages used to implement analytics solutions
Deep experience with data modeling and analytics solution stacks
Technical consulting and architecture with large-scale engagements
Experience using and adapting to new technologies
Demonstrated ability to think strategically about business, product, and technical challenges
Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, artificial Intelligence, natural language procesing and algorithms
Fluency in a programming language (Python, C, C++, Java, SQL, Postgre)
Familiarity with AI Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)