Job Description
Insight Global is looking for a Data Scientist who specializes in Advanced Analytics and Machine learning to join a large Telecom Retailer in Plano, TX. This team is looking for someone to manage both the reporting and building forecasting models for production and proposals.
Main responsibilities include the following:
- Apply expertise in quantitative and qualitative analysis to synthesize trends into actionable insights. Experience with Machine Learning techniques, such as regression, classification, clustering, and neural networks, Naive Bayes. Outline business predictions to predict forecasts of demand and promote overall efficiency
- Data science and optimization models -- Customer Segmentation, Product Mix and Promotion Mix analysis, Multi-variate models, Turf Analysis
- Highly skilled in Data Mining using Python. Source, combine, and synthesize large amounts of data from various data sources.
- Work cross-functionally to identify current organization gaps and emerging trends and recommend solutions based on qualitative analyses and market insights.
- Conduct Industry analysis: Analyze trends, patterns, early warnings, and forecasts. Utilize syndicated and other sources for periodical Retail industry assessment
- Collaborate with the peer Data Science teams in developing and maintaining predictive forecasting models.
- Effective visualization for users to interact with the forecasting model
- Recommend strategic action plans for retail to drive sales across all product categories.
- Presentation skills in being able to tell the story behind the numbers.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com .
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Skills and Requirements
Bachelor's degree in business, Analytics, Data Science, Statistics, Mathematics
-4+ years of work experience in Retail Performance analytics, Data analytics with data modelling
- Advanced Python skills (Pandas, Scikit-Learn, TensorFlow, Keras, )
-Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators.
- Machine Learning -- good knowledge of machine learning methods like Clustering, k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests, Time series Forecasting
-Data Wrangling -- proficiency in handling imperfections in data
-Good knowledge of Data Visualization Tools like Power BI and Tableau
- Hands-on experience with data science tools (Master's Degree preferred) null
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.
Location: Plano, TX, United States
Posted: Aug. 14, 2024, 2:34 a.m.
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