Junior Data Science Analyst -Temporary, Information Technology

Are you a data enthusiast with a desire to expand your understanding and experience with data analysis, visualization and data cleansing?  As a Junior Data Science Analyst , you will have an opportunity to apply and develop your skills in analyzing large, complex, multi-dimensional datasets with a variety of tools and statistical environments, creating and implementing machine learning algorithms and advanced statistics and using statistical computing languages for data analysis --  such as R and Python.  If you are ready to take your career to the next level, there has never been a better time to join ServiceLink!

*Note- The Junior Data Science Analyst is a temporary role with an anticipated length of 3 months, intended to be an introductory/developmental role.  Those who perform at a high level in this role may have the opportunity to be promoted into a permanent role at the conclusion of the Junior Data Science Analyst assignment.

A DAY IN THE LIFE

In this role, you will…

·          Conduct research leveraging big data technologies that surface actionable insight that influence analytical solutions roadmap

·          Gather and process raw data at scale by using statistical packages like R, and programming language like Python

·          Process unstructured data into a form suitable for analysis – and then do the analysis.

·          Work with images, text documents and tabular data

WHO YOU ARE

You possess …

·          Recently graduated or a student in Computer Science or related field or equivalent work experience

·          Effective in fast paced environment

·          Collaborative/enjoys working in teams

·          Self-starter/motivator

·          Some experience in software or applications engineering and/or technical operations

• Critical thinking skills to assess how AI capabilities can best be applied to complex business situations.
• Work closely with engineering team to integrate your ideas, innovations and algorithms into production systems.
• Support business decisions with ad hoc analysis as needed.
• Having the ability to query databases with structured and un-structured data and perform statistical analysis
• Being able to work in a fast-paced multidisciplinary environment as in a competitive landscape new data keeps flowing in rapidly and the world is constantly changing;
• Applying quantitative analysis and data mining expertise in presenting data to visualize beyond the numbers and the underlying trends and use that analysis in process automation
• Ability to perform in the following areas:

              o    Analysis and Presentation

              o    Exploratory Data Analysis

              o    Predictive Data Analysis

              o    Streaming Analytics

• Experience in creating and implementing machine learning algorithms and advanced statistics such as: regression, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, and neural networks
• Proficiency with statistical computing languages for data analysis, such as R and Python preferred.
• You ask why, you explore, you're not afraid to blurt out your disruptive idea. You are constantly exploring new open source tools.
• Work on building deep learning models in production for predicting or classification.
• Analytical skills, with an emphasis on quantitative analysis, descriptive and inferential statistics a plus

• Recently graduated or a student in Computer Science or related field or equivalent work experience
• Certification preferred but not required
• Some experience in software or applications engineering and/or technical operations
• Work and/or academic experience building applications using any of the following:

             o    Large scale distributed databases as well as more traditional options: key-value, graph, SQL, NoSQL, time series

             o    Machine Learning like R, Python

             o    Deep knowledge on large scale object stores (e.g. HDFS) and the ecosystem of tools used for machine learning applications (e.g. spark etc.). In particular, we’re looking for the flexibility to make decisions that best optimize for our applications and don’t                       follow the crowd to a default answer.

             o    Exposure to cloud environments preferable Azure

             o    Experience handling data with relational databases is preferred

             o    Knowledge of machine learning/distributed systems

             o    SQL server or Oracle

• Effective in fast paced environment
• Collaborative/enjoys working in teams
• Self-starter/motivator
• Creative and effective problem solving skills
• Ability to work on/manage multiple tasks concurrently.