What are the responsibilities and job description for the Data Scientist position at Accord Technologies Inc?
Title: Data Scientist
Location: Newark, NJ
Location: 6 months
Visa: Visa independent candidate.
The role requires a rare combination of sophisticated analytical expertise; business acumen; strategic mindset; client relationship skills, project management; and a passion for generating business impact.
Responsibilities
Develop and maintain consultative relationships with key business stakeholders
Identify, source, transform and join public, proprietary and internal data sources
Model large structured and unstructured data sources (e.g. financial transactional, time-series, text, speech/audio and image)
Implement advanced statistical methods for prediction and optimization including a wide variety of machine learning technologies (logit, regression, decision trees/forests, boosted models, clustering, etc.) for purposes including explorative analysis, survival analysis, segmentation, prediction and recommendation systems
Perform analysis and implement solutions that maximize business impact
Prepare and present written and verbal reports to key stakeholders
Some domestic travel may be required
Execute all aspects of an advanced analytical project under guidance
Qualifications
Advanced degree (Masters or Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines
Master's degree graduates should additionally have at least two years of industry experience with responsibility for developing advanced quantitative, analytical, statistical solutions
Hands-on experience applying a wide variety of statistical machine learning techniques to real world problems spanning analysis, predictive modeling and optimization on structured and unstructured data
Experience using tools such as Python, R, or equivalent for statistical modeling of large data sets
Well-developed written and oral communication skills with ability to present complex statistical concepts to non-analytical stakeholders (Excel, Word and PowerPoint are a must)
Software engineering experience in C/C /C#/Java/Scala or similar object oriented or functional languages is highly regarded but not a prerequisite
M.B.A. when combined with advanced quantitative degree is highly regarded but not a prerequisite
Prior academic or industry research experience is highly regarded but not a prerequisite
Prior exposure to financial services or insurance industry may be helpful but is not a prerequisite
Strong background in CX, marketing, and digital marketing is required
Location: Newark, NJ
Location: 6 months
Visa: Visa independent candidate.
The role requires a rare combination of sophisticated analytical expertise; business acumen; strategic mindset; client relationship skills, project management; and a passion for generating business impact.
Responsibilities
Develop and maintain consultative relationships with key business stakeholders
Identify, source, transform and join public, proprietary and internal data sources
Model large structured and unstructured data sources (e.g. financial transactional, time-series, text, speech/audio and image)
Implement advanced statistical methods for prediction and optimization including a wide variety of machine learning technologies (logit, regression, decision trees/forests, boosted models, clustering, etc.) for purposes including explorative analysis, survival analysis, segmentation, prediction and recommendation systems
Perform analysis and implement solutions that maximize business impact
Prepare and present written and verbal reports to key stakeholders
Some domestic travel may be required
Execute all aspects of an advanced analytical project under guidance
Qualifications
Advanced degree (Masters or Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines
Master's degree graduates should additionally have at least two years of industry experience with responsibility for developing advanced quantitative, analytical, statistical solutions
Hands-on experience applying a wide variety of statistical machine learning techniques to real world problems spanning analysis, predictive modeling and optimization on structured and unstructured data
Experience using tools such as Python, R, or equivalent for statistical modeling of large data sets
Well-developed written and oral communication skills with ability to present complex statistical concepts to non-analytical stakeholders (Excel, Word and PowerPoint are a must)
Software engineering experience in C/C /C#/Java/Scala or similar object oriented or functional languages is highly regarded but not a prerequisite
M.B.A. when combined with advanced quantitative degree is highly regarded but not a prerequisite
Prior academic or industry research experience is highly regarded but not a prerequisite
Prior exposure to financial services or insurance industry may be helpful but is not a prerequisite
Strong background in CX, marketing, and digital marketing is required
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