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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, New York, Data Scientist, Other, New York, NY, New York

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