Location: United States - Connecticut - StamfordArea of Interest: Database Administration/Architecture, Research/AnalysisPosition Type: Full Time
JOB SUMMARY The Credit Services Risk Management team is a large and complex critical function for company success. We are staffed with highly-skilled and motivated individuals with a large emphasis on analytical abilities & problem solving skills. The Associate Data Scientist will build predictive models used for underwriting and/or collections functions. This person will research and recommend new data sources to improve models and design tests to measure the effectiveness for various strategies implemented.
MAJOR DUTIES AND RESPONSIBILITIES
Responsible for the entire end-to-end data science process from ETL to building models, to deploying the model into the workflows to measuring the financial impact.
Partner with others to implement models in production and conduct post-launch testing and enhancement
Actively and consistently support all efforts to simplify and enhance the customer experience
Responsible for the selection of appropriate algorithms and execution
Responsible for interpretation of results – for both causal inferences and predictive effectiveness
Synthesize appropriate recommendations for action and changes
Present findings, suggested actions and changes to a broad audience, and manage follow-ups and execution
Help teach and explain techniques and tools used to a broad set of business-intelligence, data, and analytics professionals with varied backgrounds
Provide coaching and mentoring to achieve a high-performing team
Manage internal client relationships, including issue resolution, and overall accountability for results and client satisfaction
Exercise thought leadership and discretion in tailoring the tools, approaches, and data used to meet the needs of the particular problem
Perform other duties as required
Predictive analysis experience using SAS/Python/R;
Experience in building Logistic Regression models, Random Forest models, XGBoost models, and Experimental Design.
Experience in data pre-processing and exploratory data analysis using a variety of techniques
Understand the theoretical background of each statistical test and model, inside and out.
Basic understanding of data architecture, data warehouse and data marts
Ability to communicate orally and in writing in a clear and straightforward manner
Ability to plan, prioritize and organize effectively
Ability to adapt to change
Detail oriented, self-motivated, proactive and results driven
Highly energetic; ability to partner across business lines; a go-getter who seeks out information and does not wait for others to reach out
Strong expertise in SQL.
Experience in using large databases; conducting complex analysis using more than one languages above
Expert-level logical and analytic skills
Broad experience and solid theoretical foundation on the modeling process using a variety of algorithms
Demonstrated ability and desire to continually expand skill set, and learn from and teach others
Ability to explain complex analysis results in an easy-to-understand language
Advance skills in Excel, PowerPoint and Access
Excellent quantitative analysis skills
Ability to create conceptual frameworks enabling the analysis of varied business problems
Education B.S. in quantitative sciences, including statistics, engineering, computer science, Business with focus on analytics. M.S. in Statistics or Data Science will be highly preferred
Related Work Experience
2+ years experience solving business problems through deep analytics and with predictive modeling techniques (with a Bachelor’s Degree) OR,
1+ years experience solving business problems through deep analytics (with a Masters Degree)
Industry experience in Financial services, insurance or actuarial services or medical research preferred but not required
WORKING CONDITIONS Office Environment
The health and safety of our employees and candidates is very important to us. Spectrum has adopted virtual mobile recruiting tools that allow us to continue meeting new candidates. We look forward to “virtually” meeting you.
The Spectrum brands (including Spectrum Networks, Spectrum Enterprise and Spectrum Reach) are powered and innovated by Charter Communications. Charter Communications reaffirms its commitment to providing equal opportunities for employment and advancement to qualified employees and applicants. Individuals will be considered for positions for which they meet the minimum qualifications and are able to perform without regard to race, color, gender, age, religion, disability, national origin, veteran status, sexual orientation, gender identity, or any other basis protected by federal, state or local laws.
Internal Number: 268211BR
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