Data Scientist job Manchester Connecticut
Data Scientist job Manchester Connecticut
My Spider Scam Awareness Contacting Us F. A. Q.
Job Seekers
Search Jobs
Browse Jobs
Post a Resume
Job Alerts
Search Resumes
Browse Resumes
Post a Job

Data Scientist Job

Employer Name: SpiderID: 9851383
Location: Manchester, Connecticut Date Posted: 9/28/2020
Wage: Negotiable Category: Information Technology
Job Code: R-10347

Job Description:

This role will be responsible for unleashing data-driven actionable business insights at Bob's Discount Furniture. This role will partner with cross-functional business leaders to identify and deliver key business insights to drive customer satisfaction, revenue growth, cost saving and operational efficiencies. This role will leverage retail & CPG industries best practices to quickly find deep business insights, build predictive analytics solutions and leverage prescriptive analytics based on proven approaches. This role will collaborate with various stakeholders to identify internal and external data, leverage traditional and modern methodologies and use various open source systems to find, present, implement and monitor insights. This role, as an individual contributor, will have a passion to quickly learn business process, leverage data and data science methodologies in innovative way to find compelling business insights. This role will be remote.


  • Collaborate with cross functional business stakeholders to understand current business processes and to find opportunities for deep business insights

  • Analyze business goals, build hypothesis and identify key data sources from internal and external sources

  • Perform data wrangling and feature engineering using open source systems

  • Perform descriptive analytics and diagnostics analytics to provide causal inference

  • Build predictive analytics and forecasting solutions

  • Provide prescriptive analytics solutions for various domain ranging from marketing, sales, finance, HR and supply chain functions

  • Build analytics to have better insights on consumer preference and buying behaviors

  • Develop, maintain, and improve holistic data sets, reports, and dashboards to monitor company performance and communicate key business insights, risks and findings to management teams

  • Use a data-informed approach to inform and drive day-to-day focus and operational efficiencies

  • Collaborate and partner with business stakeholders in a way that supports the vision and sustains a culture that treats analytics as a corporate asset

  • Review work with leadership and partners on an ongoing basis to calibrate deliverables against expectations

  • Help identify long term opportunities within sales and supply chain cycle through the creation of models, algorithms and machine learning techniques

  • Participate in identifying and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage

  • Accountable for long term ownership of models developed and evolution of those models as assigned

  • Remain current on research techniques and become familiar with state of the art tools applicable to your function

Required Qualifications

  • Minimum of 5+ year hands-on experience working on analytics for Retail / CPG industry domain

  • Expert level knowledge to perform diagnostics analytics to find drivers of business performance and customers choices.

  • Experience in building production-level algorithms and predictive analytics systems along with data pipelines

  • Solid experience in analytics software (SAS, R, Python)

  • Experience in data analysis using SQL and data visualization tools (Power BI)

  • Knowledge of marketing analytics, customer analytics and supply chain analytics initiatives

  • Strong work ethic and high level of personal integrity and accountability

  • Excellent communication and interpersonal and consultative skills to work effectively with vendors, clients, peers, and IT management and staff

  • Strong analytical and problem solving skills

  • Degree in Predictive Analytics, Data Science or other related area of study

  • Minimum 5+ years of solid, diverse hands-on work experience using SAS, R or Python for Retail / CPG industry domain

  • Experience with Power BI is preferred

  • Applicable certifications is preferred

Job Criteria:
Start Date:
Position Type: Full-Time Permanent
Years of Experience Required:
Education Required:
Overnight Travel:
Vacation Time:

Contact Information:
Contact Name: Bob's Discount Furniture Company Type:
Company: Bob's Discount Furniture

Send ad to a friend


© 2020 Job Spider
Privacy Policy | CC Marketing Sites | Site Map | Links