Job Description
Role Purpose:
We are seeking a Data Scientist with 3+ years of experience and a Master's or PhD in a quantitative field. The ideal candidate will have strong Python expertise, hands-on experience building and deploying machine learning pipelines, and a solid foundation in statistical and ML techniques. Experience with Databricks, SQL, cloud platforms, and large-scale data processing is highly preferred, with airline industry experience being a plus.
Minimum Qualifications – Education & Prior Job Experience:
- Master’s/PhD degree with 3+ years of experience in quantitative discipline (e.g., Data Science, Machine Learning Engineer, Computer Science, Applied Mathematics, Statistics, etc.)
- Experience with Python programming language
- Practical experience with data extraction, cleaning, and analysis
- Depth of knowledge in statistical and machine learning technique
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Preferred qualifications – Education & Prior Job Experience
- 8+ years of experience in a technical professional environment, in addition to the minimum requirements
Experience with SQL and data visualization (Tableau, PowerBI) - Practical experience designing, building and deploying machine learning models
- Experience in using cloud platforms and parallel processing to scale model development/ deployment (Databricks, Azure)
- Domain knowledge in the airline industry
- Experience working in a consulting role
Skills, Licenses & Certifications:
- Ability to effectively communicate both verbally and written with all levels within the organization
- Demonstrated motivation and aptitude for logical analysis, problem identification, and problem solving
- Ability to view data from different angles to employ feature engineering techniques to better represent models
- Ability to work on a diverse team with diverse skillsets
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Top 3 Must Have Skills:
- MS or PhD in Data Science, Computer Science, Statistics, or related field
- Strong Python expertise (production-grade coding, modularization, testing, performance tuning)
- Hands-on experience with Machine Learning pipeline development and productionization (model deployment, orchestration, monitoring, and optimization)
Nice to Have Skills and Experience:
- Experience with Databricks / Spark-based ML pipelines
- Proficiency in SQL and working with large-scale datasets
- Experience with ML lifecycle tools (e.g., MLflow, CI/CD, model monitoring)
Experience: 5-8 Years .
The expected compensation for this role ranges from $60,000 to $135,000 .
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
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