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Data Scientist

Company: Applied Value LLC
Location: New York, NY
Posted on: July 25, 2017

Job Description:

Design, develop and deploy data-related products that will improve clients’

data management strategy and business intelligence. Create strategic

direction for company’s analytics practice. Perform big data analysis for

financial, operational and analytical analysis of the manufacturing

industry. Develop analytics tools using Excel VBA, Lindo WB, SQL, Matlab,

Python, R, Scala, Spark. Utilize hands-on experience with packages such as

Numpy, Pandas, Statsmodels, scikit, MLpy, SciPy, SQLDF, dplyr, ggplots2,

matplotlib, and NLTK to work with complex data sets, as well as to create

solid predictive modeling and machine learning tools. Utilize experience

with frameworks such as torch, tensorflow, keras to work with deep learning

models. Perform client consulting and lead teams to identify and resolve

key strategic, organizational, and operational challenges faced by our

clients. Perform big data analytics and utilize industrial knowledge to

identify real-world business issues and challenges for our clients;

synthesize industrial expertise, big data processing capabilities, data

science modeling skills and fact-based consulting approaches to guide

clients to solve business challenges. Perform consulting for purchasing

and risk management functions for key industries such as automotive OEM,

automotive tier 1, industrial manufacturing, white goods manufacturing,

renewable energy, telecommunications, and mobile OEM. Build mass email

send-out marketing campaign tools and Salesforce integration to support

sales process. Requires domestic and international travel up to 80% of the

time.

Education & Experience Requirements:

Master's degree in Finance, Economics, Information Systems, Computer

Science or related field (willing to accept foreign education equivalent)

plus 3 years of experience in management consulting and analytic tool

development for the manufacturing industry. Or, alternatively, a Bachelor's

degree and 6 years of experience as noted above.

Also requires:

(1) Demonstrated expertise designing and developing big data analytics,

machine learning and optimization tools using Excel VBA, Lindo WB, SQL,

Matlab, Python, SQL, R and Scala;

(2) Demonstrated expertise conducting regression analysis for raw materials

markets, including steel, iron ore, industrial scrap, resins, carbon fiber,

copper and aluminum, and performing predictive analysis based on industrial

knowledge, event analysis and advanced stochastic methods;

(3) Demonstrated expertise performing consulting and analysis for the

steelmaking and steel application industries, including production, value

chain, supply chain, end use, and products (hot-rolled steel, cold-rolled

steel, hot dip galvanized steel, steel plate, and electric steel);

(4) Demonstrated expertise analyzing trade regulations related to key raw

materials importing;

(5)Demonstrated expertise developing commodity price risk management

strategy, including financial hedging, physical hedging, cost recovery

analysis, gross margin alignment, and contract language mitigation;

(6) Demonstrated expertise modeling gross margin volatility, including cost

vs. sales price, regression analysis for raw material markets, and

correlation analysis;

(7) Demonstrated expertise applying advanced statistics to analyze sales

and operations planning, such as sales forecasting accuracy and forecasting

error margin evaluation using trend estimation theory measured by Mean

Absolute Percentage Error;

(8) Demonstrated expertise utilizing Monte Carlo simulation and Black-

Scholes-Merton model to price financial derivatives;

(9) Demonstrated expertise performing financial modeling and benchmarking

skills including Return on Invested Capital Analysis (ROIC), cost and

capital efficiency matrix, and modeling to perform industry and sub-

industry benchmarking; and,

(10)Demonstrated expertise applying big data science, including with key

theories such as machine learning, deep learning, and neutral networks.

Submit resume to rhonda.batchelder@appliedvalue.com and include “Job Code

GCXZ” in the subject line.

Keywords: Applied Value LLC, Hoboken , Data Scientist, Other , New York, NY, New Jersey

Click here to apply!

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