Data Scientist
At a glance
Mid-level Data Science role at Implify Inc. Newark · full-time · no salary stated · we estimate $115,300–$175,500 across the United States.
Implify Inc has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Combine information from separate large datasets to find patterns with predictive, prescriptive and machine learning methods
- Use statistical techniques such as regression, time-series analysis and classification, including on unstructured data
- Explain findings in reports and presentations, translating statistical results into language business stakeholders can follow
- Use knowledge of U.S. businesses and relevant industries to shape your analysis and insights
- Track project budgets and schedules through completion
What you bring
- You have analyzed large datasets with statistical software such as SAS, R or Python, and can use Excel and PowerPoint
- You can program in SQL and have worked with at least one database system, such as IBM DB2, Oracle or another listed system
- You have a master’s in a quantitative discipline plus at least two years of work experience, or a bachelor’s plus five years
- You bring experience presenting data clearly and managing projects, budgets and schedules
Who this fits
This mid-level role suits someone who combines statistical analysis with clear communication and project coordination. The job is based onsite in Newark, New Jersey, and includes an in-person interview.
From the employer
Implify, Inc is a Global IT Solutions and services firm. Since it's inception, Implify, Inc has been providing best-quality and cost-effective IT solutions to fortune 1000 companies, mid-range companies and upcoming companies via its onsite, Offshore and in-house service models.
IMPLIFY is an IT consulting services and software development firm dedicated to business success through long-term relationships with our clients and staff. IMPLIFY has built a dynamic, profitable, service-oriented enterprise, and is positioned to successfully respond to trends and changes in the information technology industry.
Data Scientist
Location: Newark NJ
Interview process: Phone and In Person (face to face)
Job Descripction
As a Data Scientist, you solve complex challenges and identify new opportunities using a combination of analytical expertise, business acumen, strategic thinking, and project and relationship management skills. This is an exciting opportunity to be a part of a new strategic initiative & this position is located in Newark, N.J., a quick, easy 15-minute train ride from New York Penn Station.
RESPONSIBILITIES
• Integrate and mine large data sets, connecting data from disparate sources to identify insights and patterns using predictive and prescriptive analytics, and machine learning techniques
• Conduct intermediate and advanced statistical analysis, such as linear regression, ANOVA, time-series analysis, classification models, neural networks, decision trees, as well as analysis of unstructured data (e.g., social media listening, digital footprints, speech analytics)
• Prepare and present written and verbal reports, findings, and presentations to key stakeholders, distilling complex statistical information into easy-to-understand business language
• Apply knowledge of U.S. businesses and corporate groups and relevant industry knowledge to analysis and insights
• Manage project budgets and timelines, ensuring times and on-budget completion
QUALIFICATIONS
• Experience analyzing large data sets using statistical software, such as SAS, R, Python, and SPSS, to discover new business insights
• Excel and PowerPoint a must. SQL Programming and experience of at least one DBMS such as IBM DB2, Oracle, SQL Server or Sybase are required. Java strongly desired
• Prior experience with building models, analyzing unstructured data, and/or machine learning
• Relevant academic experience and work experience in Statistics, with exposure to data structures and data visualization
• Master’s degree in Mathematics, Statistics, Engineering, Computer Science, or a quantitative discipline plus a minimum of 2-3 years of work experience, or bachelor’s degree plus 5 years work experience
• Well-developed written and oral communication skills, with ability to present and explain data to business manager
• Strong project management skills / experience managing projects, budgets, and schedules to successful completion
• Some prior exposure to financial services or insurance industry desired
All your information will be kept confidential according to EEO guidelines.
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