Data Scientist Expert

hace 2 semanas

Heredia, Costa Rica Experian A tiempo completo

Company Description
Experian is the world's leading global information services company, unlocking the power of data to create more opportunities for consumers, businesses and society.
We are thrilled to share that FORTUNE has named Experian one of the 100 Best Companies to work for.
In addition, for the last five years we've been named in the 100 "World's Most Innovative Companies" by Forbes Magazine.
With a focus on our employees, we have been certified for the third time as Great Place To Work (GPTW).
Experian Consumer Information Services is redefining the way our clients do business within all aspects of the customer credit lifecycle.
Fueled by best-in-class data and innovative technology we help businesses make smarter decisions, identify consumers, make decisions on loans, market to prospects and collect.
**Job Description**:
Are you fascinated by data science and its role in evaluating and improving the value of business information?
Would you like to join an emerging team focused on operational analytics in a growth company with an amazing culture?
If so, we have an opportunity for you to use your analytical skills to convert data into predictive insight and meaningful information that enables business process improvement.
Come be part of a Data Assurance team that leads investigations of data loads and adopted models/processes that bring measurable quality improvement and maintenance to the Experian BIS Commercial Data Repository.
Data Assurance's goal is to assess and improve business data maintenance processes through the adoption of machine-learning, big data, and other advanced analytical techniques.
You'll take on a position of leadership in the team by establishing expertise in one or more functional areas of the data repository related to commercial financial services.
What you will do:

- Perform diagnostic analytics and pattern identification to conduct root cause analysis of errors or deficiencies
- Forecast likelihood of future data defects, develop a predictive scoring model and determine steps for corrective action on reported errors
- Lead analytical projects from solution design and data evaluation through solution development, documentation, and implementation.
Develop tools for data processing and information retrieval
- Write documentation of model performance and features, and present the results
- Collaborate with technology and other business teams
- Maintain continuous learning of new technologies and data science related topics

**Qualifications**:

- Minimum of 5+ years of working experience in business analytics or data model development and implementation
- Excellent English communication skills, both written and verbal.
- Ability to independently support existing products, innovate new solutions, and mentor less senior team members
- Statistical Analysis: design research approaches to investigate trends, patterns, and relationships using statistical methods and tests to reach actionable conclusions and understand causal relationships
- Programming: compose clean, understandable, and reproducible expert level code in Python and/or R
- Machine Learning / Modeling: understand what types of algorithms to use, their benefits and drawbacks, and how to implement them.
- Data Wrangling: write efficient SQL queries from scratch that blend data from dozens of sources in the right form for modeling, analysis, and scoring.
- Source code management skills using tools like Git
- Degree in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Math, Information Technology, or other quantitative fields (preferred advanced degree)
- Experience working with Agile methodologies, like Scrum.
- Experience with Hadoop and NoSQL related technologies such as Map Reduce, Spark, Hive, Pig, HBase, mongoDB, Cassandra, etc.
It would be fantastic if you also have:

- Advanced/Expert level experience in any flavor of SQL
- Experience in one or more of the Cloud Environments (AWS, Google Cloud, Azure)
- Proficiency NLP/Text mining techniques, deep learning, and related open-source tools
- Proficiency with Bayesian statistical inference and related machine learning methods

Additional Information
Our benefits include: Medical, life and dental insurance, Asociación Solidarista, International Share Save Plan, Flex Work/Work from home, Paid time off, Annual Performance Bonus, Education Reimbursement, Family Bonding, Bereavement Leave, Referral Program, and more.
Experian is proud to be an Equal Opportunity and Affirmative Action employer.
Our goal is to create a thriving, inclusive and diverse team where people love their work and love working together.
We believe that diversity, equity and inclusion is essential to our purpose of creating a better tomorrow.
We value the uniqueness of every individual and want you to bring your whole, authentic self to work.
For us, this is The Power of YOU and it ensures that we live what we believe.
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