This role involves hands-on use of cutting-edge technologies in the space of Big Data Analytics, machine learning, and data visualization.
It is important that our candidate has a strong background in statistics, an acute business sense and practical programming skills.
A successful candidate for this role should have a wide professional skill-set. The candidate must be capable of turning data discoveries into profitable products and measurable improvements for our business partners, in short development cycles.
The job involves:
v Researchin industry Big Data sources to identify potential applications and patterns
v Researching and evaluating the feasibility of Big Data applications
v Analyzing large amounts of data from different domains
v Involvement in a process of designing and developing data-driven products
v Working closely with different teams in the organization to collect requirements and design solution architectures
v Implementing machine learning software systems and tools using industry-standard infrastructures and libraries, and up-to-date software development practices
Required Skills:
v At least 3 years’ experience in Data Science/Big Data Analytics/Data Engineering
v Strong expertise in statistical modeling, machine learning systems, software engineering and implementation of algorithmic solutions
v Experience in Big Data ETL processes, data visualization and data exploration
v Experience in data-science oriented tools, languages and libraries (MATLAB/Octave, Excel, R, Python + Scikit-learn + Pandas, WEKA, MLLib/ML, TensorFlow/Keras etc.).
v Bachelor’s in mathematics/Statistics/Computer Science
v Strong familiarity with Big Data architectures and technology including OpenStack, Hadoop, Pig, Hive, H-base, Spark, Elasticsearch, or other big data platforms