Blend360 : Associate Data Scientist

Brief Description of position:

About us

BLEND360 is an award-winning, new breed Data Science Solutions Company focused on powering exceptional results to our Fortune 500/1000 clients and other organizations. We are a hyper growth company - born at the intersection of advanced analytics, data and technology.

BLEND360 is focused on their world-class people that help clients optimize business performance through data, technology and analytics.


BLEND360 has more than 400+ employees with offices in NYC, MD, CO, CA, The Netherlands, and India. Blend360 continues to be one of the fastest growing companies, making the Inc. 5000 every year they have been in business. 
BLEND360 is known for our exceptional people, our get-it-done mentality, and delivering high impact and sustainable results. If you love to solve difficult problems and deliver results; if you like to learn new things and apply innovative, state-of-the-art methodology, join us at Blend360 

 

Job Description

Dynamic, Fast-growing, Entrepreneurial Data Science Solutions Company seeking data Scientists! If you’ve got entrepreneurial spirit and passion, are driven by results, and want to be a part of significant growth, we’re looking for you!

BLEND360 is an award-winning, - new breed Data Science Solutions Company focused on powering exceptional results to our Fortune 500 clients. We are a - growing company—born at the intersection of advanced analytics, data and technology.
 
The primary objective of this program is to develop early career talent into productive, client engaged BLEND360 employees and set the foundation to build a fast track career in Data Science.
 
Data Science
 
In this role you will receive internal training on tools, technology platforms (Python, R, SQL, Excel) and modeling processes, learn how to apply theory to actual client project work, and hone business skills and applications of Data Science skills on business problems.


The four main areas of focus will be:

  • Analytical methods
  • Technology programs and platforms
  • Data management and analysis
  • Business applications and approaches

 Requirements

  • Proficient & hands-on in Python is a must.

  • Good Understanding Machine Learning and advanced analytical techniques such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization and their real-world advantages/drawbacks.

  • Must have thorough mathematical knowledge of correlation/causation, decision trees, classification and regression models, recommenders, probability and stochastic processes, distributions, priors and posteriors.

  • Good understanding of software engineering principles and fundamentals including data structures and algorithms.

  • Knowledge on distributed environments with technologies such as Hadoop, Spark, Kafka, Hive etc is preferred.

  • Knowledge on NoSQL datastores like Cassandra, Elasticsearch, HBase, MongoDB is preferred.

  • Must have excellent written and oral communication skills on both technical and non-technical topics.

  • Must have excellent general analytical & problem solving skills.

Educational Qualifications

  • Bachelor/Master’s degree in Computer Science, Computer Engineering, quantitative studies, such as Statistics, Math, Operation Research, Economics and Advanced Analytics 

What we Offer :

  • Working with world class people who want to build a great company and are excited about the journey.

  • A positive, open, and highly innovative work environment and team

  • Entrepreneurial spirit with unlimited opportunity to grow

  • Opportunity to work with leading global brands on exciting and impactful projects

  • Competitive Salary

  • Provision of Personal Accidental Insurance & Medical Insurance for family - self, dependent, spouse, dependent children, parents/parent-in-laws

  • Paid Maternity and Paternity leave

  • Bi-annual reviews to ensure transparency and promoting high performance culture

  • Learning & Development – Sponsorship of Certifications

 Looking forward to speaking with you.

Minimum Qualification:
Graduate
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