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Data Scientist

Job Description

Ref ID: 04030-0011095004

Classification: Data Scientist

Compensation: $120000.00 to $130000.00 yearly

Job Description:

This role is responsible for modeling complex decision problems, discovering actionable insights and identifying opportunities through the use of analytical, statistical, algorithmic, data-mining and visualization techniques. In addition to advanced analytic skills, this role is expected to be proficient at integrating and preparing large, varied datasets, architecting specialized database and computing environments, and communicating results.

Data Scientist will work closely with business leads, data stewards, project/program managers, and other IT teams to turn data into critical information and actionable knowledge that can be used to prescribe sound organizational/business decisions. Data Scientist is expected to be creative thinker that can analyze data within the information domain boundaries by applying machine learning, data mining & statistical techniques (the process of discovering new patterns from large datasets) and propose model hypotheses for making new/innovative business decisions. This individual is expected to be proficient in programming/scripting in order to model data in a way to visualize it by shaping/re-shaping data attributes from multiple viewpoints and to validate their hypotheses/findings using an experimental and iterative approach.

Data Scientist will present hypothesis/findings to business leads by exposing their assumptions and validations in a clear & structured manner that can be easily understood by business counterparts. A combination of business focus, strong analytical and problem solving skills coupled with programming knowledge to be able to quickly cycle through hypotheses during the discovery phase of the project are mandatory.

Responsibilities:
Discovery Phase:
o Works with business stakeholders to identify the business requirements, expectations and the overall business problem domain to derive prescriptive decision outcomes
o Works collaboratively with business analysts to understand client's current business processes and current business decision touch points. Consequently, understands client's expected business process changes & impacts after new business decision models are implemented
o Models and frames suggested business decision scenarios that are meaningful and which impact on critical business processes and/or decisions
o Synthesizes facts, theories, trends, inferences, and key issues and/or themes in complex and variable situations. Recognizes abstract patterns and relationships between apparently unrelated entities or situations and applies appropriate concepts and theories in formulating decision model hypotheses
o Identifies what data is available & used by current business processes and corresponding relevant data sources, including internal and external sources
o Suggests what additional data would be needed for the decision model to work and potentially identifies new sources of data such as smart meters, geo-location or social media
o Collaborates with client subject matter experts to select the relevant sources of data
Analysis Phase:
o Works in iterative processes with the client subject matter experts while developing decision model hypotheses and validating such findings o Defines the validity of the data, how much data/information is meaningful & pertinent, and what other information is related & required
o Works with the data stewards to ensure that the information used is in compliance with the regulatory and security policies in place and in the same context, qualifies where information can be stored or what information, external to the organization, may be used in support of the use case

Job Requirements

Qualifications:
 Masters in mathematics, statistics, computer science, operations research or related engineering/STEM field; PHD degree preferred
 Relevant quantitative and qualitative research and analytics experience  Good proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms  Experience of using several decision algorithms such as Random Forest, AdaBoost & other ensembles, Classification & Clustering, Decision trees, SVM, Neural Nets, Optimization (Linear, Non-linear, Dynamic programming etc.), Operations Research techniques, Graphs & Networks, Natural Language Processing, Event Streams & Temporal processing, Business Rules or any other machine learning/AI types of algorithms
 Ability to come up with solutions/hypotheses to loosely defined business problems by leveraging pattern detection over potentially large datasets
 Familiarity with one or more quantitative data analysis languages such as R, MATLAB, Octave, SAS, SPSS, SciPy, NumPy, SQL
Familiarity with distributed Computing platforms such as Hadoop and Spark, NoSQL databases, Distributed Real-time Systems
 Familiarity with large-scale Software Architectures & Enterprise Systems  Good programming skills (such as Hadoop MapReduce or other big data frameworks, Java). Familiarity with functional programming languages such as Erlang, Scala or Python is a plus
 Good communication and interpersonal skills; a team player with strong empathy for our internal and external customers. Ability to effectively collaborate with R&D team members as well as across teams
 Willing to do deep dives into new research areas to solve tough problems

Technology doesn't change the world. People do.

As a technology staffing firm, we can't think of a more fitting mantra. We're extreme believers in technology and the incredible things it can do. But we know that behind every smart piece of software, every powerful processor, and every brilliant line of code is an even more brilliant person.

Leader among IT staffing agencies

The intersection of technology and people — it's where we live. Backed by more than 65 years of experience, Robert Half Technology is a leader among IT staffing agencies. Whether you're looking to hire experienced technology talent or find the best technology jobs, we are your IT expert to call.

We understand not only the art of matching people, but also the science of technology. We use a proprietary matching tool that helps our staffing professionals connect just the right person to just the right job. And our network of industry connections and strategic partners remains unmatched.

Apply for this job now or contact our branch office at 888-490-4429 to learn more about this position.

All applicants applying for U.S. job openings must be authorized to work in the United States. All applicants applying for Canadian job openings must be authorized to work in Canada.

© 2019 Robert Half Technology. An Equal Opportunity Employer M/F/Disability/Veterans.

By clicking 'Apply Now' you are agreeing to Robert Half Terms of Use.

Job Snapshot

Location US-TX-Irving
Employment Type Full-Time
Pay Type Year
Pay Rate $120,000.00 - $130,000.00 /Year
Store Type Engineering & Aerospace, IT & Technical, Creative & Design
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Company Overview

Robert Half Technology

With more than 100 locations worldwide, Robert Half Technology is a leading provider of technology professionals on a project and full-time basis for initiatives ranging from web development and systems integration to network security and technical support. Learn More

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US-TX-Irving
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Snapshot
Robert Half Technology
Company:
US-TX-Irving
Location:
Full-Time
Employment Type:
Year
Pay Type:
$120,000.00 - $130,000.00 /Year
Pay Rate:
Engineering & Aerospace, IT & Technical, Creative & Design
Store Type:

Job Description

Ref ID: 04030-0011095004

Classification: Data Scientist

Compensation: $120000.00 to $130000.00 yearly

Job Description:

This role is responsible for modeling complex decision problems, discovering actionable insights and identifying opportunities through the use of analytical, statistical, algorithmic, data-mining and visualization techniques. In addition to advanced analytic skills, this role is expected to be proficient at integrating and preparing large, varied datasets, architecting specialized database and computing environments, and communicating results.

Data Scientist will work closely with business leads, data stewards, project/program managers, and other IT teams to turn data into critical information and actionable knowledge that can be used to prescribe sound organizational/business decisions. Data Scientist is expected to be creative thinker that can analyze data within the information domain boundaries by applying machine learning, data mining & statistical techniques (the process of discovering new patterns from large datasets) and propose model hypotheses for making new/innovative business decisions. This individual is expected to be proficient in programming/scripting in order to model data in a way to visualize it by shaping/re-shaping data attributes from multiple viewpoints and to validate their hypotheses/findings using an experimental and iterative approach.

Data Scientist will present hypothesis/findings to business leads by exposing their assumptions and validations in a clear & structured manner that can be easily understood by business counterparts. A combination of business focus, strong analytical and problem solving skills coupled with programming knowledge to be able to quickly cycle through hypotheses during the discovery phase of the project are mandatory.

Responsibilities:
Discovery Phase:
o Works with business stakeholders to identify the business requirements, expectations and the overall business problem domain to derive prescriptive decision outcomes
o Works collaboratively with business analysts to understand client's current business processes and current business decision touch points. Consequently, understands client's expected business process changes & impacts after new business decision models are implemented
o Models and frames suggested business decision scenarios that are meaningful and which impact on critical business processes and/or decisions
o Synthesizes facts, theories, trends, inferences, and key issues and/or themes in complex and variable situations. Recognizes abstract patterns and relationships between apparently unrelated entities or situations and applies appropriate concepts and theories in formulating decision model hypotheses
o Identifies what data is available & used by current business processes and corresponding relevant data sources, including internal and external sources
o Suggests what additional data would be needed for the decision model to work and potentially identifies new sources of data such as smart meters, geo-location or social media
o Collaborates with client subject matter experts to select the relevant sources of data
Analysis Phase:
o Works in iterative processes with the client subject matter experts while developing decision model hypotheses and validating such findings o Defines the validity of the data, how much data/information is meaningful & pertinent, and what other information is related & required
o Works with the data stewards to ensure that the information used is in compliance with the regulatory and security policies in place and in the same context, qualifies where information can be stored or what information, external to the organization, may be used in support of the use case

Job Requirements

Qualifications:
 Masters in mathematics, statistics, computer science, operations research or related engineering/STEM field; PHD degree preferred
 Relevant quantitative and qualitative research and analytics experience  Good proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms  Experience of using several decision algorithms such as Random Forest, AdaBoost & other ensembles, Classification & Clustering, Decision trees, SVM, Neural Nets, Optimization (Linear, Non-linear, Dynamic programming etc.), Operations Research techniques, Graphs & Networks, Natural Language Processing, Event Streams & Temporal processing, Business Rules or any other machine learning/AI types of algorithms
 Ability to come up with solutions/hypotheses to loosely defined business problems by leveraging pattern detection over potentially large datasets
 Familiarity with one or more quantitative data analysis languages such as R, MATLAB, Octave, SAS, SPSS, SciPy, NumPy, SQL
Familiarity with distributed Computing platforms such as Hadoop and Spark, NoSQL databases, Distributed Real-time Systems
 Familiarity with large-scale Software Architectures & Enterprise Systems  Good programming skills (such as Hadoop MapReduce or other big data frameworks, Java). Familiarity with functional programming languages such as Erlang, Scala or Python is a plus
 Good communication and interpersonal skills; a team player with strong empathy for our internal and external customers. Ability to effectively collaborate with R&D team members as well as across teams
 Willing to do deep dives into new research areas to solve tough problems

Technology doesn't change the world. People do.

As a technology staffing firm, we can't think of a more fitting mantra. We're extreme believers in technology and the incredible things it can do. But we know that behind every smart piece of software, every powerful processor, and every brilliant line of code is an even more brilliant person.

Leader among IT staffing agencies

The intersection of technology and people — it's where we live. Backed by more than 65 years of experience, Robert Half Technology is a leader among IT staffing agencies. Whether you're looking to hire experienced technology talent or find the best technology jobs, we are your IT expert to call.

We understand not only the art of matching people, but also the science of technology. We use a proprietary matching tool that helps our staffing professionals connect just the right person to just the right job. And our network of industry connections and strategic partners remains unmatched.

Apply for this job now or contact our branch office at 888-490-4429 to learn more about this position.

All applicants applying for U.S. job openings must be authorized to work in the United States. All applicants applying for Canadian job openings must be authorized to work in Canada.

© 2019 Robert Half Technology. An Equal Opportunity Employer M/F/Disability/Veterans.

By clicking 'Apply Now' you are agreeing to Robert Half Terms of Use.

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