Saxon Global
Data Scientist
Saxon Global, Greenwood Village, Colorado, United States,
JOB SUMMARY
As part of this group, the Data Scientist job is responsible for executing the full-scope of advanced analytic techniques with the objectives of improving business processes, enhancing product personalization, and improving customer retention through discovery of causal relationships, predictive analysis, and recommender systems. Additionally, role will also be responsible for developing experiments and metrics to test and monitor system improvements. This position requires a strong command of statistical techniques and machine learning algorithms, as well as a demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present findings to audiences with diverse agendas and varying levels of technical expertise.
MAJOR DUTIES AND RESPONSIBILITIES
Plan, lead, and execute the complete analytics life-cycle for problem solving, including:Requirements gatheringProblem formulationData groomingData explorationModel prototypingModel validationAlgorithm productionalizationSurvey varied data sources for analytic relevance, including:
Stream sourceDistributed file systemsRelational databasesFlat filesExternal sourcesInterpret, synthesize and communicate results of analyses to effect action and changes within the organization
Collaborate across teams to integrate analytic products with existing production architectures, develop execute and evaluate courses of action, and socialize results
Help teach and explain techniques and tools used to a broad set of business-intelligence, data, and analytics professionals with varied backgrounds
Exercise thought leadership and discretion in tailoring the tools, approaches, and data used to meet the needs of the particular problem
Perform other duties as required
REQUIRED QUALIFICATIONS
Skills/Abilities and Knowledge
Ability to read, write, speak and understand EnglishStrong communication and presentation skillsExpert-level skills and experience with Python (preferred), R, Matlab, or other analytics languagesExperience with relational and NoSQL databasesExpert-level quantitative analysis skills including interpretation of model results, consideration of causality, treatment of multicollinearityBroad experience and solid theoretical foundation on the modeling process using a variety of algorithmic techniques, including Machine Learning, NLP, and Graph/Network AnalyticsData pre-processing, exploratory data analysis using a variety of techniquesBasic understanding of data architecture, data warehouse and data martsExperience in the telecommunications industry, or other consumer-based industriesDemonstrated ability and desire to continually expand skill set, and learn from and teach othersPREFERRED QUALIFICATIONS
Skills/Abilities and Knowledge
Experience with BigData tools, particularly HIVE, Spark, Spark Streaming, and GraphXExperience with Linux based operating systemsExperience with advanced analytics libraries in python such as numpy, sci-kit learn, and pandasKnowledge of other relevant techniques such as text analysis and text miningOperations-research background, in particular focused on large labor operations such as field ops, technical support, and sales
Education
Advanced degree in computer science, mathematics, statistics, physics, operations research or other quantitatively-focus fields
Related Experience Years Work Experience
Phd 3+
Masters 6+
Bachelors 8+
Required Skills : - Professional experience with Machine Learning - Education in STEM, applied mathematics, or statistics o Background in math and programming essentially - Strong SQL and ETL experience - Python, Java, or R o Scala is nice to have - Modeling experience: statistical, predictive, regression, ML, etc. o Binary classification models, continuous target models, etc. - Experience with Big Data tools and/or working with large data sets - Any cloud experience (ideally AWS)- in the process of moving everything over to AWS - Open and willing to do whatever is needed as the needs of the projects will change Will need to do live coding with Python or SQL during the interviewBasic Qualification :Additional Skills :
Long termBackground Check :YesNotes :Selling points for candidate :Long termProject Verification Info :Candidate must be your W2 Employee :YesExclusive to Apex :NoFace to face interview required :YesCandidate must be local :YesCandidate must be authorized to work without sponsorship ::NoInterview times set : :NoType of project :Assessment/AnalysisMaster Job Title :Data ScientistBranch Code :Denver
As part of this group, the Data Scientist job is responsible for executing the full-scope of advanced analytic techniques with the objectives of improving business processes, enhancing product personalization, and improving customer retention through discovery of causal relationships, predictive analysis, and recommender systems. Additionally, role will also be responsible for developing experiments and metrics to test and monitor system improvements. This position requires a strong command of statistical techniques and machine learning algorithms, as well as a demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present findings to audiences with diverse agendas and varying levels of technical expertise.
MAJOR DUTIES AND RESPONSIBILITIES
Plan, lead, and execute the complete analytics life-cycle for problem solving, including:Requirements gatheringProblem formulationData groomingData explorationModel prototypingModel validationAlgorithm productionalizationSurvey varied data sources for analytic relevance, including:
Stream sourceDistributed file systemsRelational databasesFlat filesExternal sourcesInterpret, synthesize and communicate results of analyses to effect action and changes within the organization
Collaborate across teams to integrate analytic products with existing production architectures, develop execute and evaluate courses of action, and socialize results
Help teach and explain techniques and tools used to a broad set of business-intelligence, data, and analytics professionals with varied backgrounds
Exercise thought leadership and discretion in tailoring the tools, approaches, and data used to meet the needs of the particular problem
Perform other duties as required
REQUIRED QUALIFICATIONS
Skills/Abilities and Knowledge
Ability to read, write, speak and understand EnglishStrong communication and presentation skillsExpert-level skills and experience with Python (preferred), R, Matlab, or other analytics languagesExperience with relational and NoSQL databasesExpert-level quantitative analysis skills including interpretation of model results, consideration of causality, treatment of multicollinearityBroad experience and solid theoretical foundation on the modeling process using a variety of algorithmic techniques, including Machine Learning, NLP, and Graph/Network AnalyticsData pre-processing, exploratory data analysis using a variety of techniquesBasic understanding of data architecture, data warehouse and data martsExperience in the telecommunications industry, or other consumer-based industriesDemonstrated ability and desire to continually expand skill set, and learn from and teach othersPREFERRED QUALIFICATIONS
Skills/Abilities and Knowledge
Experience with BigData tools, particularly HIVE, Spark, Spark Streaming, and GraphXExperience with Linux based operating systemsExperience with advanced analytics libraries in python such as numpy, sci-kit learn, and pandasKnowledge of other relevant techniques such as text analysis and text miningOperations-research background, in particular focused on large labor operations such as field ops, technical support, and sales
Education
Advanced degree in computer science, mathematics, statistics, physics, operations research or other quantitatively-focus fields
Related Experience Years Work Experience
Phd 3+
Masters 6+
Bachelors 8+
Required Skills : - Professional experience with Machine Learning - Education in STEM, applied mathematics, or statistics o Background in math and programming essentially - Strong SQL and ETL experience - Python, Java, or R o Scala is nice to have - Modeling experience: statistical, predictive, regression, ML, etc. o Binary classification models, continuous target models, etc. - Experience with Big Data tools and/or working with large data sets - Any cloud experience (ideally AWS)- in the process of moving everything over to AWS - Open and willing to do whatever is needed as the needs of the projects will change Will need to do live coding with Python or SQL during the interviewBasic Qualification :Additional Skills :
Long termBackground Check :YesNotes :Selling points for candidate :Long termProject Verification Info :Candidate must be your W2 Employee :YesExclusive to Apex :NoFace to face interview required :YesCandidate must be local :YesCandidate must be authorized to work without sponsorship ::NoInterview times set : :NoType of project :Assessment/AnalysisMaster Job Title :Data ScientistBranch Code :Denver