Join Now

ManufacturingWorkers.com



Search Manufacturing Jobs at ManufacturingWorkers.com

The Number One Source for Careers in Manufacturing
With thousands of jobs at ManufacturingWorkers.com, we think
your odds are pretty good.

*Staff Applied Statistician~

Job Number: 68197336
Company Name:Alcoa Inc.
Location: Pittsburgh, PA US
Career Focus:Manufacturing & Production
 Updated: 5/15/2013

*Staff Applied Statistician~
*Staff Applied Statistician~
Requisition Number 10523BR
Job Function Research & Development / Technology
Business Unit Group Alcoa Corporate
Location PA-Pittsburgh
Job Status Full-Time
Relocation Eligible Negotiable
Minimum Education Required Bachelors
Minimum Years of Experience 3
Minimum Travel Required 0-25%
Position Description A new group, Decision Analytics(DA) has been formed within the Corporate HR Talent Management Center of Excellence (TM CoE). DA is committed to a thorough and wide-ranging analysis of GVS data, a new, expanded role conducting custom, real-time, iterative analyses of corporate-wide NPS data by Line of Business. In addition, there will be continuing work with Forecast Accuracy Initiative, Financial Team Capability Analysis, and Performance Management data. Looking to the future, DA has expected new roles analyzing ATA, ABC, EHS, HCM, and Promotability data, requiring additional capabilities held by a knowledgeable and experienced applied statistician / data analyst.

The purpose of the Staff Applied Statistician position will be to catalyze quantitative decision-making, i.e., turn data into actionable information. in a timely manner. DA staff members are charged to bring thoroughness and objectivity to decision-making, letting the data tell the story," and successfully capturing and communicating results, implications, and recommendations - all with substantive quantitative backing. DA also detects and communicates inadequacies in the data used for decision-making, such as noisiness, poor correlation, small sample size, inconsistency, or corruption.

This position will report to the Manager, Decision Analytics. The successful candidate will become a member of the new Decision Analytics (DA) corporate group within the Talent Management Center of Excellence (TM CoE), and will be assigned to one or more project teams involving the application of applied statistical methods to corporate data. The candidate is expected to lead the team in the application of appropriate statistical methods, have experience in their application and have the ability to solve problems to their root cause. The ability to complete projects and communicate both progress and results through presentations and/or reports is expected.

MAJOR ACTIVITIES:
ACTIVITIES BELOW ARE CARRIED IN COLLABORATION WITH CUSTOMERS AND PEERS, NOT IN ISOLATION
. Define testable hypotheses and questions
. Assess adequacy of existing data, including sample size, patterns of missing data, range, scale, units, and self-consistency
. Design surveys, accounting for sample size, representativeness, demographics, logistics, and timing
. Guide data extraction, filtering, subsetting, selection, inversion, transformation
. Conduct basic and complex statistical analyses (see skills below)
. Interpret statistical results, with appropriate qualifiers, conditionals, and caveats
. Mine" databases of all size, using traditional and modern stat tools (see skills below)
. Conduct interactive, visual exploration of data
. Build empirical and predictive models that are consistent with data context and behavior
. Report results, implications, and recommendations to peers and to all levels of management.
. Preserve data security and personal privacy.

Knowledge & skills:
Essential to the position are analytical/critical thinking abilities, proven collaboration ability, and effective communication skills - at the right level of detail for the context. Also important are: Personal drive, visionary thinking coupled with ability to execute a plan, creativity, willingness to pull on the "help chain" as needed, ability to take constructive criticism, and the ability to work effectively with peers and customers to understand cost vs benefit of statistical analyses of different levels of complexity.
. Partitioning analysis (CART) - with continuous and categorical Y and X variables, including significance testing and missing data/sample size constraints
. Data exploration / data mining
. Empirical model-building: GLM and non-linear with mixed continuous and categorical factors, response surfaces
. Stepwise and Classical regression / ANOVA
. Multivariate techniques such as PCA, PLS, and clustering
. Intervals - confidence, prediction, and tolerance
. Strength in use of statistical software such as SAS, JMP, R or Minitab (at least one)
. Programming / scripting
. Project management at the tactical and task level
. Ability to articulate and test the challenges peculiar to analyzing big data"
Basic Qualifications . Bachelor's Degree in Applied Statistics (or related field), plus Ongoing coursework equivalent to at least a BS in Applied Statistics or related field, with substantial and sustained record of analysis of big corporate data," showing ability to: use suitable techniques, extract key conclusions, communicate results and conclusions at a level appropriate to the customers.
. Capable of: Cleaning, assessing, and analyzing data, applying CART and multivariate techniques (e.g., PCA, PLS, Clustering), exploring data using analytical as well as graphical tools for relationships or patterns or effects, developing linear models including regressing techniques (simple, multivariable, stepwise), experience with or exposure to data mining methods, constructing statistical intervals
. Able to function independently as the statistical lead on a team
. Strong written and verbal communication skills
. Demonstrable capabilities with statistical software tools (e.g., JMP, SAS, R, Minitab)
Preferred Qualifications . Prefer MS in Applied Statistics or related field with 3 years of experience, or a PhD in Applied Statistics or related field
. Prefer experience tailoring and presenting Powerpoint decks to middle and upper management audiences
. Prefer project management experience in an HR or corporate setting
. Prefer capability and experience conceiving of, executing, and presenting Monte Carlo simulation results
. Prefer skills and experience with analytical and empirical optimization methods
. Prefer skills and experience with time series analysis (e.g., Box-Jenkins/ARIMA) and forecasting

Get Started Applying for this Job by entering your email address below.
We accept .doc, .docx, .pdf, .rtf, .txt.

The CareerNetwork™

Your Life. Your Career. Your Network.

Beyond.com is a Registered Trademark of Beyond.com, Inc.

Beyond.com Career Network © 2001 - 2013 Beyond.com, Inc.