Data Scientist

Does solving complex business problems and real world challenges interest you? Do you enjoy seeing the impact your contributions make on a daily basis? Are you passionate about using data analytics to provide game changing solutions to the Global 2000 clients? Do you thrive in a dynamic work environment that constantly pushes you to be the best you can be and more? Are you ready to work with smart colleagues who drive for excellence in everything they do?

If you possess a solutions mindset, strong analytical skills, and commitment to be part of a tremendous journey, come join our growing, global team. See what Saama can do for your career and for your journey.

Position: Data Scientist (2044)

Location: Phoenix, AZ

Type: Permanent Fulltime / Contract to Hire

Responsibilities:
Work on small and large data sets of structured, semi-structured, and unstructured data to discover hidden knowledge about the client’s business and develop methods to leverage that knowledge for their business.

Identify and solve business challenges working closely with cross-functional teams, such as Delivery, Business Consulting, Engineering and Product Management.

Develop prescriptive and predictive statistical, behavioral or other models via machine learning and/or traditional statistical modeling techniques, and understand which type of model applies best in a given business situation.

Drive the collection of new data and the refinement of existing data sources.

Analyze and interpret the results of product experiments.

Provide input for engineering and product teams as they develop and support our internal data platform to support ongoing statistical analyses.

Requirements:
Minimum MS or Ph.D. preferred in a Quantitative Social Science (e.g. Economics) or Statistics with a substantive field interest.

8 or more years experience in business, consulting or applied field research with responsibilities for solving analytics problems using quantitative approaches.

Demonstrated track record producing models and actionable insights using advanced statistical methods.

Experience working with large data sets using distributed computing tools, e.g. Map/Reduce, Hadoop, Hive, Spark etc.

Extensive knowledge of standard statistical techniques like MLE/QMLE, GMM, OLS/GLS, univariate and multivariate time series models (e.g. ARIMA, DLM’s, VAR’s), regression model diagnostics for time series and cross sectional data, along with Machine Learning methodologies like Random Forests, SVM’s and Boosting/Bagging.

Expert knowledge of an analysis tool/statistical package such as R, JMP, Stata, SPSS, SAS, Matlab

Fluency with at least one scripting language such as Python, Java, or C/C++.

Expertise with relational databases and SQL. NoSQL is a big plus

Knowledge on Insurance Domain

Impact on the business:
Plays an important role in making Saama’s Solutions game changers for our strategic partners by using data science to solve core, complex business challenges.

Key relationships:
Sales & pre-sales

Product management

Engineering

Client organization: account management & delivery

Saama Competencies:
INTEGRITY: we do the ‘right’ things.

INNOVATION: we ‘change the game.’

TRANSPARENCY: we communicate openly

COLLABORATION: we work as one team

PROBLEM-SOLVING: we solve core, complex business challenges

ENJOY & CELEBRATE: we have fun

Competencies:
Self-starter who gets results with minimal support and direction in a fast-paced environment.

Takes initiative; challenges the status quo to drive change.

Learns quickly; takes smart risks to experiment and learn.

Works well with others; builds trust and maintains credibility.

Planful: identifies and confirms key requirements in dynamic environments; anticipates tasks and contingencies.

Communicates effectively; productive communication with clients and all key stakeholders communication in both verbal and written communication.

Perseverance. Stays the course despite challenges & setbacks. Works well under pressure.

Strong analytical skills; able to apply inductive and deductive thinking to generate solutions for complex problems.

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