Data Scientist - IT

Our client explores and creates new frontiers in IT. They provide innovative products and services and strive to stay one step ahead of their customers- needs. They turn new technology trends into business advantages.

As mainstream frontrunners, they create new IT solutions and build the future with their customers.

Job Description:

Data Scientist (7+ years)

Experience: 6-10+ years or 5+ years with MS or PhD

A combination or algorithms + machine learning + spark/Hadoop skills + python/R

Role:

As a hands-on data scientist in our team we expect you to lead engagements with our customers.

1. Identify potential opportunities in applying Data Mining methods & techniques to solve existing business problems

2. Highlight both risks & business benefits in using Data driven approaches

3. Put across a roadmap for customers & also highlight technology requirements

4. Define scope, effort & risks in project engagements & lead execution in small teams

5. Actively consult, conduct pre-sales, develop POCs, patriciate incubation/accelerator/product programmes

6. Introduce and follow good development practices, innovative frameworks, and technology solutions that help business move faster.

- Drive continuous improvement and innovation.

- Work with cross functional teams effectively

Key Requirements:

- Good knowledge of advanced statistical methods. Mine and analyze data, applying statistical methods as necessary, pertaining to customers- discovery and viewing experiences to identify critical product insights.

- Experience in creating statistical models and/or optimization frameworks for improving processes/products/profits

- Should possess working knowledge of visualization concepts along with any one of the software like Tableau, Shiny, Spot fire or D3-JS

- Knowledge in Text Mining, Semantic Web, elastic search, Amazon cloud, would be an added advantage.

- Experience with Data Engineering with Spark, Kafka, Sqoop, Flume, HDFS-Hive etc

- Translate analytic insights into concrete, actionable recommendations for business or product improvement.

- Partner closely with business and engineering leaders throughout the lifecycle of project. Ensure that necessary data is captured; analytic needs are well-defined up front and coordinate the analytic needs.

- Should have independently handled a project technically and provided directions to the other Team Members.

- Able to persuade stakeholders and champion effective techniques through development.

- Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company.

- Demonstrating thought leadership and subject matter expertise in all relevant topics by coming up with papers, publications etc.

- Adapt communications and approaches to conclude technical scope discussions with various Partners, resulting In Common Agreements.

- Experience working with tight deadlines

- Have suitable qualifications and industry certifications

Technical Skills:

Expertise with one of the following scripting languages;

- Python, R, Java/Scala, Julia

- Hadoop ecosystem, elastic search, spark, KNIME, Alteryx

- Proven track record and experience with statistical modeling/data mining algorithms such as

- Multivariate Regression, Logistic Regression, clustering algorithms, Support Vector Machines, Decision Trees etc

- Machine learning, deep learning and graph mining.

If interested then share your profile ASAP.

Baishakhi