Career

Junior Data Scientist

You will collaborate with the brightest technical minds in building futuristic products, researching groundbreaking concepts, and influencing new ideas to transform retail. If you want to make meaningful contributions and reinvent the retail space that will impact millions of guests, Target is for you.
About This Opportunity: Responsible for the development of high performance, distributed computing tasks using Big Data technologies such as Hadoop, NoSQL, text mining and other distributed environment technologies based on the needs of the organization. Designs and drives the creation of new standards and best practices in the use of statistical data modeling, big data and optimization tools.
» Deploy data-science and technology based algorithmic solutions to address business needs for our customers » Utilize recommender systems, collaborative filtering techniques, propensity modeling to drive our customer's business priorities
Qualifications: Msc - Statistics / Math or PhD in any stream
Experience : 0 to 2 years
Requirements
» Experience / Strong Knowledge of Regression/Linear Analysis
» Familiarity with any of Deep Learning, Distributed RF, Generalized Linear Model,K-Mean and naive Bayes
» Familiarity with designing algorithms on Hadoop ecosystem
» Experience / Strong Knowledge with recommendation systems
» A strong passion for empirical research and for answering hard questions with data
» Excellent written and verbal communication skills

Data Scientist

You will collaborate with the brightest technical minds in building futuristic products, researching groundbreaking concepts, and influencing new ideas to transform retail. If you want to make meaningful contributions and reinvent the retail space that will impact millions of guests, Target is for you.
About This Opportunity: Responsible for the development of high performance, distributed computing tasks using Big Data technologies such as Hadoop, NoSQL, text mining and other distributed environment technologies based on the needs of the organization. Designs and drives the creation of new standards and best practices in the use of statistical data modeling, big data and optimization tools.
» Deploy data-science and technology based algorithmic solutions to address business needs for our customers
» Utilize recommender systems, collaborative filtering techniques, propensity modeling to drive our customer's business priorities
Qualifications: Msc - Statistics / Math or PhD in any stream
Experience : 2 to 4 years
Requirements » Experience of Regression/Linear Analysis
» Experience with any of Deep Learning, Distributed RF, Generalized Linear Model,K-Mean and naive Bayes
» Experience with designing algorithms on Hadoop ecosystem
» Experience with recommendation systems
» A strong passion for empirical research and for answering hard questions with data
» Excellent written and verbal communication skills

Data Engineers

Qualifications: BSc IT , MSC IT , MCA
Experience : 0 to 2 years
A good data engineer is has extensive knowledge on databases and best engineering practices. These include handling and logging errors, monitoring the system, building human-fault-tolerant pipelines, understanding what is necessary to scale up, addressing continuous integration, knowledge of database administration, maintaining data cleaning, and ensuring a deterministic pipeline.
Job Description
The Core Data Engineer - Analyst will: » Lead the discussion around Hadoop Clusters and our Big Data technology platform.
» Lead the discussion around monitoring and control of our data warehouse systems
» Work as a part of a cross-functional team to ensure data is flowing from transaction systems, logs, etc. into our processing pipelines
» Work with Data Scientists to ensure demands are met for data analysis
» Ensure task queues are processing jobs efficiently at scale
» Work with Architecture to diagnose complex software systems and discuss security and performance concerns early in the process
» Lead research on emerging technologies
» Lead troubleshooting efforts, but not be solely responsible for them
» Train and mentor other engineering team members around service discovery, configuration management, and provisioning technology
» Managing Infrastructure like Laptops / Desktops / Servers in case of any issues.
Required Skills
» You thrive in an informal work environment with flexible hours but inflexible deadlines.
» You have displayed an aptitude for picking up new skills and approaches and are eager to broaden your knowledge of the use and analysis of data to solve real-world problems.
» You are willing to engage in continuing education through both formal and informal studies to further develop your skills.
» Analytical thinker and problem solver.
Desired Skills
» Relevant work experience in managing Windows / Linux distributions, patching, updating in a large scale environment
» Relevant work experience setting up Tableau or other visualization tools
» Experience working with Hadoop, MapReduce, HBase, ZooKeeper, and other relevant technology
» Coding/Scripting ability in Bash + Ruby, Python, Scala, or Java
» Experience scaling API environments such as Apache, Nginx, Node/Express, Ruby/Sinatra
» Experience working with distributed systems and partitioning of data
» Good Communication Skills.
For applying for these positions email your resume on careers@analytos.com