Roles and Responsibilities

Introduction

As a Data Scientist at Rantodac, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.

Your Role and Responsibilities

As an Advisory Data Scientist, you will demonstrate expertise in Advanced people analytics. We use the latest advanced analytics technologies, tools, and techniques to extract insights from our data. We work collaboratively with other teams within the company and apply these insights to make complex and strategic decisions for the benefit of Rantodac. As a Data Scientist, you'll team with some of the best mind in the industry to create innovative world class solutions focused on business needs. You'll do this by designing/developing analytical approaches to solve our client's business problems.

Responsibilities:

• Work with clients in defining the key business problems to be solved while developing, maintaining and leveraging key client relationships.
• Identifying, gathering, and analyzing complex, multi-dimensional datasets utilizing a variety of tools.
• Designing Advanced Analytics solutions and services in the area(s) of optimization (linear, mixed integer, constraint programming) or simulations, or predictive analytics.
• Formulating mathematical approaches to solve those problems potentially utilizing ILOG CPLEX, Standard Query Language (SQL), Apache Spark, Statistical Packages Social Sciences(SPSS), Python, R.
• Using industry technologies, tools and data mining frameworks for data analytics including data visualization for analyzing and drawing conclusions.
• Communicating the data insights to key stakeholders and get their buy-ins.
• Integrating the analytics Into existing business work flows.
• Measuring business outcome (quantitatively and/or qualitatively) on a periodic basis.
• Developing junior team members and leading project tasks.
• Maintaining knowledge and understanding of current and emerging trends within the analytics industry.

A good level of business acumen and business domain knowledge is highly preferred

Required Technical and Professional Expertise

• A minimum of 0-2 years of experience in determining mathematical approaches to solve problems, sampling plan and gathering/ analyzing /portraying data
• Proficient in designing/building/managing solutions utilizing for example ILOG CPlex, Python, Standard Query Language (SQL), Apache Spark, Statistical Package Social Sciences(SPSS), or R
• Work experience in building predictive models using various ML algorithms, drawing insights from the model output, communicating the results to key stakeholders, integrating the analytics into existing business workflows and measuring business outcome
• Expertise in statistical analysis and deploying the results of the analysis
• Experience in data collection/ data mining/text mining

Preferred Technical and Professional Expertise

• A minimum of 0-3 years experience in determining mathematical approaches to solve problems, sampling plan and gathering/ analyzing /portraying data
• Exposure to unstructured data sets and Natural Language Processing
• Proven Business acumen and business domain knowledge is highly preferred