Data Scientist

Jd

Top skills: Alteryx, Advanced Analytics, R/ Python

Education/Experience

Bachelor's degree in business management, economics, finance, accounting or relevant field required.

Key Responsibilites/Requirements

8-10 years experience required.

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.

Background/Experience Required

Bachelor's degree in Business, Analytics, Data Science, Statistics, Mathematics, or similar field of study (Master's Degree preferred)

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

Problem-solving aptitude

Analytical mind and great business sense

Excellent oral and written communication skills, with demonstrated experience building and delivering presentations. Collaboration within Retail teams is a priority for this role