Implify Inc.
Implify, Inc is a Global IT Solutions and services firm. Since its inception, Implify, Inc has been providing high-quality and cost-effective IT solutions to Fortune 1000 companies, mid-range companies, and emerging companies through 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, and service-oriented enterprise, positioned to respond successfully to trends and changes in the information technology industry.
Job Description
Data Scientist Location: Newark, NJ Interview process: Phone and In-Person (face-to-face) Job Description As a Data Scientist, you will solve complex challenges and identify new opportunities using analytical expertise, business acumen, strategic thinking, and project and relationship management skills. This is an exciting opportunity to be part of a new strategic initiative. The position is located in Newark, NJ, just a 15-minute train ride from New York Penn Station. Responsibilities
Integrate and analyze large data sets, connecting data from various sources to identify insights and patterns using predictive and prescriptive analytics, and machine learning techniques. Conduct advanced statistical analysis such as linear regression, ANOVA, time-series analysis, classification models, neural networks, decision trees, and analysis of unstructured data (e.g., social media listening, digital footprints, speech analytics). Prepare and present reports, findings, and presentations to stakeholders, translating complex statistical information into understandable business language. Apply knowledge of U.S. businesses and relevant industry insights to analysis and recommendations. Manage project budgets and timelines, ensuring completion on time and within budget. Qualifications
Experience analyzing large data sets using statistical software such as SAS, R, Python, and SPSS to uncover business insights. Proficiency in Excel and PowerPoint. SQL programming and experience with DBMS like IBM DB2, Oracle, SQL Server, or Sybase are required. Java is highly desired. Experience building models, analyzing unstructured data, and/or machine learning. Academic background and work experience in Statistics or related fields, with exposure to data visualization and data structures. Master’s degree in Mathematics, Statistics, Engineering, Computer Science, or a quantitative discipline, plus 2-3 years of work experience; or a bachelor’s degree plus 5 years of experience. Strong communication skills, capable of explaining data insights to business managers. Project management experience, including managing projects, budgets, and schedules. Previous exposure to financial services or insurance industries is a plus. Additional Information
All information will be kept confidential according to EEO guidelines.
#J-18808-Ljbffr
Data Scientist Location: Newark, NJ Interview process: Phone and In-Person (face-to-face) Job Description As a Data Scientist, you will solve complex challenges and identify new opportunities using analytical expertise, business acumen, strategic thinking, and project and relationship management skills. This is an exciting opportunity to be part of a new strategic initiative. The position is located in Newark, NJ, just a 15-minute train ride from New York Penn Station. Responsibilities
Integrate and analyze large data sets, connecting data from various sources to identify insights and patterns using predictive and prescriptive analytics, and machine learning techniques. Conduct advanced statistical analysis such as linear regression, ANOVA, time-series analysis, classification models, neural networks, decision trees, and analysis of unstructured data (e.g., social media listening, digital footprints, speech analytics). Prepare and present reports, findings, and presentations to stakeholders, translating complex statistical information into understandable business language. Apply knowledge of U.S. businesses and relevant industry insights to analysis and recommendations. Manage project budgets and timelines, ensuring completion on time and within budget. Qualifications
Experience analyzing large data sets using statistical software such as SAS, R, Python, and SPSS to uncover business insights. Proficiency in Excel and PowerPoint. SQL programming and experience with DBMS like IBM DB2, Oracle, SQL Server, or Sybase are required. Java is highly desired. Experience building models, analyzing unstructured data, and/or machine learning. Academic background and work experience in Statistics or related fields, with exposure to data visualization and data structures. Master’s degree in Mathematics, Statistics, Engineering, Computer Science, or a quantitative discipline, plus 2-3 years of work experience; or a bachelor’s degree plus 5 years of experience. Strong communication skills, capable of explaining data insights to business managers. Project management experience, including managing projects, budgets, and schedules. Previous exposure to financial services or insurance industries is a plus. Additional Information
All information will be kept confidential according to EEO guidelines.
#J-18808-Ljbffr