Drive data-derived insights across the wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives
Direct the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals
Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights
Build and train statistical models and machine learning algorithms for replication for future projects
Communicate recommendations to business partners and influencing future plans based on insights
What you'll bring:
Very good knowledge of the foundations of machine learnin g and statistics
Experience in Analyzing the Complex Problems and translate it into data science algorithms
Experience in machine learning, supervised and unsupervised and deep learning .
Hands on experience in Computer Visions and NLP.
Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data
Strong Experience in Python with excellent knowledge of Data Structures
Strong Experience with big data platforms - Hadoop (Hive, Pig, Map Reduce, HQL, Scala , Spark )
Hands on experience with Git
Experience with SQL and relational databases, data warehouse
Qualifications
Bachelors with > 7 years of experience / masters degree with > 5 years of experience. Educational qualifications should be preferably in Computer Science /Mathematics/Statistics or a related area . Experience should be relevant to the role.
Good To have:
Experience in ecommerce domain.
Experience in R and Julia
Demonstrated success in data science platforms like Kaggle.
Benefits
Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.
Minimum Qualifications...
Minimum Qualifications:Option 1- Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years experience in an analytics related field. Option 2- Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years experience in an analytics related field. Option 3 - 5 years experience in an analytics or related field.
Job Classification
Industry: RetailFunctional Area / Department: Data Science & Analytics, Role Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full time