Essential Lending Hiring Drive 2024: Hiring Drive 2024 for its Data Scientist. Essential Lending Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree in Data Science, Statistics, or a related field is required. if you are interested, please apply as soon as possible.
Company Name: Essential Lending
Role: Data Scientist
Location: Remote
Experience: 1 years
Qualification: Bachelor’s degree in Data Science, Statistics, or a related field is required.
Batch: Any
Job Type: Full Time
Salary: 8.5 To 24.0 LPA (Expected)
Essential Lending Hiring Drive 2024
Job Description:
- The Data Scientist will perform highly quantitative, data-driven analysis and make recommendations regarding how we should operate our business more effectively.
- While technical proficiency such as manipulating data with SQL and understanding predictive modeling techniques like logistic regression are necessary, the ideal candidate will have an aptitude for problem solving and business acumen.
Requirements:
- Educational Qualification: A Bachelor’s degree in Data Science, Statistics, or a related field is required.
- Professional Experience: A minimum of 1 years of hands-on experience as a data scientist is essential.
- Analytical Prowess: A natural talent for solving intricate business challenges through data analysis.
- Effective Communication: Exceptional communication skills, with a strong command of the English language, enabling clear and efficient collaboration with cross-functional teams.
- Statistical Expertise: Profound knowledge of statistical methods and the ability to employ predictive modeling techniques, including linear and logistic regression.
- SQL Proficiency: Proficiency in T-SQL is a must. The candidate should be capable of swiftly developing SQL queries to extract and manipulate data from various sources.
- Excel Mastery: Familiarity with Microsoft Excel is expected, with a willingness to acquire expertise in advanced Excel features like pivot tables and calculated fields.
- Programming Skills: Proficiency in Python is a prerequisite for this role, as the candidate will be responsible for developing and implementing machine learning algorithms and models.
- Data Analysis: Competence in collecting, cleaning, and preprocessing data from diverse sources to construct datasets for analysis.
- Machine Learning: Experience in developing and implementing machine learning algorithms and models using Python and AWS API calls.
- Feature Engineering: Proficiency in identifying and engineering relevant features for machine learning models.
- Model Evaluation: Skill in evaluating model performance, making improvements, and iteratively refining model development.
- Knowledge of direct mail marketing is considered a valuable asset.
- Familiarity with line of credit products is advantageous.
- Knowledge of SEO techniques is a beneficial addition to the skill set.
- Experience with lead generation is a welcomed advantage.
Responsibility:
- Credit Underwriting Model Development: Develop and refine credit underwriting models, assess their impact on our business, and apply them to existing loan portfolios.
- Evaluate payment performance by score and recommend score thresholds to maximize profitability.
- Pricing Optimization: Create linear programming optimization models to set pricing for potential loan applicants (leads).
- Develop an optimal pricing strategy that maximizes overall profit by considering applicant likelihood of loan approval, loan amounts, expected payment performance, and total loan volume.
- A/B Testing: Design and execute A/B tests to compare data vendors.
- Collaborate with our technology team to collect and analyze data, conduct a cost-benefit analysis, and recommending the most suitable data product for our needs.
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