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Dollar General Corporation has been delivering value to shoppers for more than 80 years. Dollar General helps shoppers Save time. Save money. Every day.® by offering products that are frequently used and replenished, such as food, snacks, health and beauty aids, cleaning supplies, basic apparel, housewares and seasonal items at everyday low prices in convenient neighborhood locations. Learn more about Dollar General at www.dollargeneral.com/about-us.html.
DUTIES and ESSENTIAL JOB FUNCTIONS: Perform analytical tasks that include data gathering, analysis, visualization, and data-driven storytelling as a basis of project justification and innovation; perform statistical/machine learning projects as necessary for given business needs (these projects may consist of – large scale/rapid hypothesis testing, classification, prediction, and recommender systems); develop dynamic, productionized, and scalable customer-level models that generate ROI for both DG and their customers (these models may include predictive propensity models and customer segmentations); serve as a leader on the team providing direction, sharing knowledge, offering analytical expertise, and mentoring junior team members as appropriate; apply strong problem-solving skills utilizing expertise, business judgement, and robust quantitative analyses; develop code to combine, clean, and prepare data for modeling, using some combination of SQL, Python, and PySpark (including but not limited to pandas, numpy, scikit-Learn, matplotlib); identify and implement proper data preparation and feature engineering methods, such as outlier identification and removal, principal components analysis (PCA), and general data structuring; apply experience with common modeling techniques, such as logistic regression, decision trees, random forest, SVM, regularized regression, and natural language processing (NLP); demonstrate ability to translate complicated analytics topics into easily communicable concepts to less technical audience, including model accuracy and feature importance; apply practical experience ingesting and manipulating large volumes of data (millions of records); demonstrate proficiency with common analytical platforms, including distributed compute (e.g. Databricks, Hadoop, Snowflake, etc.) and PowerBI. Telecommuting/hybrid work permitted up to 3 days per week from a home office location within normal commuting distance from Goodlettsville, TN office.
Full Time
Retail
$132k-163k (estimate)
10/21/2022
04/12/2024
dollargeneral.com
MARION, IA
>50,000
1939
Public
PAULA NELSON
$10B - $50B
Retail
Dollar General is an online marketplace for apparels, household, cleaning, health, beauty and baby products.
The job skills required for LEAD DATA SCIENTIST include Data Science, Machine Learning, Analysis, Python, Algorithms, SQL, etc. Having related job skills and expertise will give you an advantage when applying to be a LEAD DATA SCIENTIST. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by LEAD DATA SCIENTIST. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for LEAD DATA SCIENTIST positions, which can be used as a reference in future career path planning. As a LEAD DATA SCIENTIST, it can be promoted into senior positions as a Data Science Manager that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary LEAD DATA SCIENTIST. You can explore the career advancement for a LEAD DATA SCIENTIST below and select your interested title to get hiring information.
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Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Lead Data Scientist job description and responsibilities
Ability to apply data science to real-world problems, capable of breaking down complex problems into key components where advanced statistics, data science, and AI can be leveraged
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in-depth knowledge of statistics, probability, and machine learning methodologies
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Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Lead Data Scientist jobs
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Step 3: View the best colleges and universities for Lead Data Scientist.