- Leverage cutting edge data science and machine learning technology & methodologies to building algorithms, statistical models and analytical solutions creatively and efficiently.
- Design, architect and implement interactive dashboards and reports. Build compelling, clear and powerful visualizations of data model performance and results.
- Create and document a robust set of metrics to monitor day-to-day bug detection and long-term performance tracking.
- Be responsible for the model development life cycle. Set up environment, design, code, test, repository management and deployments as applicable and as required
- Actively engage, network, collaborate with global business teams to understand their challenges and deliver robust, data driven solutions.
- Strong experience with machine learning algorithms and their deployment
- Proven ability at designing and building scalable data analytics solutions at an enterprise level and high-performance analytical models using Python & ML libraries
- Large scale data extraction/mining, data cleansing, diagnostics, preparation for Modeling
- Experienced on Microsoft Azure cloud & MS Azure Suite (Azure ML Studio, Azure Data Factory); and building out reports using Power BI
- Working with large datasets (several Gigs), using cloud hosted leading industry platforms or proprietary data science model deployment software
- A good understanding of significance testing, sampling, descriptive statistics, multivariate techniques, predictive modeling – cluster analysis, discriminant analysis, CHAID, logistic & multiple regression analysis
- Hands-on experience working with different (industry leading) databases: Oracle, SQL Server, DB2, MySQL, Teradata
- A problem-solving mindset with the ability to understand business challenges and how to apply analytics expertise to solve them.
- Innovative and creative in data analysis, problem solving and presentation of solutions.
- Strong communication, interpersonal skills, verbal, writing & presentation skills
- Ability to present complex mathematical solutions in a simple manner that most people will understand
- Ability to structure and deliver presentations clearly, crisply, and compellingly
- 8 or more years of hands-on work experience in data science, statistical modeling, data engineering, and predictive analytics assignments
- A strong understanding of data analytics best practices, standards and guidelines; and an experience with applying the same to produce high visibility enterprise solutions & products
- Ability to establish effective cross-functional partnerships and relationships in a highly collaborative environment
- Strong Experience in handling multi-national client engagements
- Experience with web analytics, social media analytics, analytics application of cloud computing / mobility infra
- Deep Leaning, Computer Vision, NLP concepts and frameworks, working with parquet files
- Docker/Kubernetes, Kubeflow, PySpark, NoSQL
- Application of data analytics to manufacturing industries or chemical industries
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Data Science Manager - bangalore, India - Ecolab
Description
JOB DESCRIPTIONJob Description
Essential Skills
Preferred Skills & Experience
Our Commitment to Diversity and Inclusion
Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. Our goal is to fully utilize minority, female, and disabled individuals at all levels of the workforce. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance. In all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement, Ecolab will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin, citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability.