Data Scientist - Remote

This is a remote position.

We are HIRING Data Scientist/s

Acies is a Digital Business Design firm that:
Helps organization's transition to the digital future
Adopts a design-led approach to technology solutions
Cares about internal and external customers
Be a part of a rapidly growing firm that loves deep diving into technology and come up with amazing solutions!

We solve problems

Fundamentally, we’re problem solvers. We care as much about business problems as we do about technology - that empathy gives us our edge. You could say it’s our secret sauce. We firmly believe in making lives easier for our customers using our skill sets. And we know that this is possible only with the right team.

Help businesses transform

Businesses play a big role in shaping markets as well as the society. We appreciate this viscerally and see ourselves playing an invisible but important role in helping businesses cope and transform to serve emerging needs. We are passionate, take our work very seriously and would love to have like-minded people on our team.

Role :
You will discover the information hidden in vast amounts of data, and help clients make smarter decisions to deliver better products and services for improved financial returns. Your primary focus will be in applying data mining techniques, performing statistical analysis, and building high quality prediction systems integrated with our products.
Responsibilities
Understand business problems, translating into analytical problems to identify analytical/business solutions and interpreting them for business action.
Organize and analyze data, identify patterns by selecting features, building and optimizing classifiers using machine learning techniques
Data mining using state-of-the-art methods
Identifying and integrating third party sources of information with internal company data when needed.
Enhancing data collection procedures to include information that is relevant for building business processes and analytical systems.
Processing, cleansing, and verifying the integrity of data used for analysis.
Doing ad-hoc analysis and presenting results in a clear manner.
Create automated anomaly detection systems, reports, dashboards for constant tracking of business performance.

Requirements
Skills and Requirements
Excellent understanding of machine learning algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
Knowledge of analytical and applied statistical techniques, such as distributions, statistical hypothesis testing, design of experiments, etc.
Experience with common data science toolkits. Excellence in at least one of these is highly desirable.
Hands-on experience with analytical/statistical tools like SPSS/SAS/R/Python.
Adept in working with databases and query languages – RDBMS (Oracle/MS SQL/any other), NoSQL/Big Data ((MongoDB, Cassandra, Cloudera, Hadoop, HBase).
Proficient with data visualization tools, such as Tableau, QlikView, D3.js, etc.
Good scripting and programming skills.
Great communication skills.
Working knowledge of MS-Office tools: Excel, PowerPoint, Word
Strong analytical skills involving the ability to collect, organize, analyze, identify patterns and translate into business insights with attention to detail and accuracy.
Desired Competencies:
Problem Solving Approach, Analytically strong, Time Management skills, Passionate to learn new technologies and working in agile Environment.