Immediate need of Data Scientist at Waltham, MA

Hi ,

Greetings for the day!!!

This is Anil from Tek Leaders Inc. We have an immediate opportunity with one of our clients. Please find the job description below, and if you are interested, please forward your updated resume to anil@tekleaders.com or you can reach me on my number 469-414-5116 for any further information.

Candidate have to attend for Inperson Interview

Role: Data Scientist

Location: Waltham, MA

Duration: Long Term Contract

Client : Apex/ National Grid - MA

Job Description:

Our large technology client, focused in energy and utilities, is looking for a Data Scientist to join their team on a long term basis.

Responsibilities:

Lead major projects from conception to completion, working with multiple teams of stakeholders directly to understand and address their analytic needs.
Identify, extract, and integrate data sets ranging in size from spreadsheets to big data; prepare and clean data for use in advanced analysis.
Employ sophisticated analytics programs, machine learning, and statistical methods for predictive and prescriptive modeling, forecasting, and simulations.
Develop structured, documented, version-controlled code that enables automation and post-roll out customer self-service reports.
Contribute toward the strategic vision for shaping the Data Science Team of tomorrow.
Be intellectually curious and enjoy learning.
Works well in a team.

Qualifications:

5+ years of experience in business environment as a data scientist/business analyst/quantitative analyst and a Bachelors degree; or 5+ years of similar experience and a Masters degree; or 3+ years of similar experience and a PhD.
Experience leading projects and/or teams.
Demonstrated ability to communicate and interact with business stakeholders
Demonstrated ability to translate technical knowledge into business terms
Fluency in: Machine learning tools, techniques, visual basics, and writing macros. Python object-oriented programming/development, SQL and NoSQL.
Demonstrated ability to utilize Data Mining techniques to segment/classify customers, predict likelihood of product adoption, and profile customer base from not only an algorithmic standpoint, but a conclusion and insight drawing perspective, from tools and data that do not lend themselves to algorithmic solutions is required
Can query, clean, and merge datasets from various sources
Strong Statistical and Mathematical background is required:
Math (e.g., linear algebra, calculus, and probability)
Statistics (e.g., hypothesis testing, descriptive statistics, etc

Preferred Skills and Experience:

Familiar with cloud computing in Linux environment (Azure / AWS is a plus)
Strong Business Analytics background (NPV, DCF, and Cost Benefit Analysis)
Regulated utility experience
Big data frameworks (Hadoop, Spark, Hive)
NoSQL experience
Experimental Design experience
GIS knowledge (ArcGIS is a plus)
Interactive visualization tools (Tableau / Power BI is a plus)
Knowledge of Agile frameworks
Ability to learn multiple programming languages/database engines in addition to those required above for the purposes of analyzing and using data; not software development.
Can describe machine learning tools and techniques (supervised and unsupervised) to a non-technical audience

Additional Requirements:

Candidate may be subject to background check and drug test.

Please respond with updated resume, D/L, visa copy and requested details so that I will move forward in the process.

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