Senior Data Scientist
- +2
- +4
- New Jersey, United States
- +2
- +4
- New Jersey, United States
Über
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; Execute all aspects of an advanced analytical project under guidance.
Telecommuting permitted up to 60% per week, $170,373.00 per year.
Full time employment, Monday
Friday, 40 hours per week.
MINIMUM REQUIREMENTS:
Masters degree in Statistics, Data Science, Computer Science or a related field and 4 years of related work experience. Alternatively, a PhD in Statistics, Data Science, Computer Science or a related field and 1 year of related work experience will be accepted.
Of the required experience, must have 1 year of experience in all of the following:
Statistical Analysis
Advanced Mathematics
Asymptotic theory
Regression analysis
Hypothesis testing
Data science
Telecommuting: Telecommuting permitted up to 60% per week.
Any combination of skills and training accepted.
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What we offer you:
Market competitive base salaries, with a yearly bonus potential at every level.
Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave.
401(k) plan with company match (up to 4%).
Company-funded pension plan.
Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs.
Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development.
Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs.
Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period), after one year of service.
Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance.
Wünschenswerte Fähigkeiten
- Hypothesis Testing
- Data Science
- Machine Learning
- Segmentation
Berufserfahrung
- Data Engineer
- Data Scientist
Sprachkenntnisse
- English