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Location: Position must be
filled in Dallas, TX
has an immediate need for an individual to serve as a Senior-Advanced Analytics(Data
Scientist) in Business Marketing Organization. This position requires advanced skills in the
use of predictive modeling, machine learning and statistics, trend analysis,
and other data analysis techniques to collect, explore, and identify the right
data to be analyzed from internal and external sources to explain or predict
behavior and or solve a variety of business problems and monetize products for
Gathers, analyzes, and interprets a wide
variety of data to identify causal relationships, trigger points and ultimately
make predictions on customer behavior.
Projects may include churn models, buy
propensity models, customer behavior and segmentation, sales analysis, product
level analysis (adoption, price elasticity modeling) and customer experience
Builds predictive models using data, tests the
model on results outside of the sample size and verifies the model in the real
world. Quantifies significance of data variances, applies an array of
statistical methods ranging from traditional to newly-developing within the
complex models and algorithms that drive innovation throughout the
organization. This may include improving on-time performance, network planning,
- Experience with
statistical techniques: regression-based modeling (especially logistic
regression), Gradient Boosting, Random Forest, Ensemble Methods, Neural
Networks, text mining, rare event modeling.
with analytics engineers to implement and deploy scalable solutions
thought leadership by researching best practices, conducting experiments
and collaborating with industry leaders
Develops reports, charts, tables, and other
visual aids in support of findings. Advises business partners with regards to
patterns and relationships in data to recommend business direction or outcomes.
Education: Preferred advanced
college degree in Statistics, Mathematics and or Computer Science or Ph.D. in
related fields; Data Analytics, Machine Learning, or Business Analyst
nanodegree; or related expertise.
Experience: Typically possesses
strong understanding of internal business segment or stakeholders and strong
presentation skills. Typically requires 5 years related experience in advanced
analytics, big data, relational database structures, research methods, sampling
techniques, and system testing.
- Job Contribution:
Deep knowledge of machine learning, statistics, optimization or related field
with R or Python is
- Background in programming in C, C++, Java is beneficial.
working with large data sets, simulation/optimization and distributed
computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.)
Big Data Intern
Good experience overall. Colleagues were very helpful. Atmosphere was chilled out and there was no rush to complete the project. Was given ample amount of time to understand the project and contribute.
People are laid back and don't take initiative to do something new or optimize existing stuff. It's not primarily engineering company so if you know how to talk, you will go far longer in career.Current Employee - Principal Business Manager
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