Data Scientist Job in Afiv Data Outsourcing

A Data Scientist is a professional who uses analytical, statistical, and programming skills to collect large data sets. They develop data-driven solutions explicitly tailored toward the needs of an organization.

Data Scientist responsibilities include:

Undertaking data collection, preprocessing and analysis

Building models to address business problems

Presenting information using data visualization techniques

Job brief

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions.

Responsibilities

Identify valuable data sources and automate collection processes

Undertake preprocessing of structured and unstructured data

Analyze large amounts of information to discover trends and patterns

Build predictive models and machine-learning algorithms

Combine models through ensemble modeling

Present information using data visualization techniques

Propose solutions and strategies to business challenges

Collaborate with engineering and product development teams

Requirements and skills

Proven experience as a Data Scientist orData Analyst

Experience in data mining

Understanding of machine-learning and operations research

Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset

Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)

Analytical mind and business acumen

Strong math skills (e.g. statistics, algebra)

Problem-solving aptitude

Excellent communication and presentation skills

BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred