Soon To Be Open- Lead Data Scientist

Detalles de la oferta

Full-time

Employee Status: Regular

Role Type: Hybrid

Department: Information Technology & Systems

Schedule: Full Time

**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.

Key Responsibilities:

- Leverage your analytical skills and experience to evaluate, understand and interpret credit bureau data.
- Optimize existing code and develop new algorithms to improve the processing time of analysis in a true Big Data environment.
- Serve as internal SME in Python and Spark coding on a Big Data platform for an analytic consulting team.
- Communicate with and deliver presentations to end users on model deployment and monitoring results.
- Produce testing to support the implementation of machine learning models into a production.
- Aid in analytical support for high profile modeling, analytical and machine learning engagements and initiatives.
- Support the development of new analytical and data products and services to support business objectives.
- Collect business requirements and make recommendations on machine learned based solutions.

**Qualifications**:

- Degree, preferably in Statistics, Mathematics, Computer Science, or related field.
- Minimum of 3+ years related experience, preferably in Financial Services.
- Strong knowledge of statistical analysis software / data analysis experience including data manipulation, including experience in Python and Spark.
- Proven track record for leading and executing complex analytical projects and new product development from concept to final delivery.
- Expert analytical skills to evaluate understand and interpret data.
- Experience solving challenging business problems with significant business impact.
- Demonstrated ability to communicate ideas and analysis results effectively both verbally and in writing to both a technical and non-technical audience.
- Excellent communication, organization, interpersonal and presentation skills.

**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.

Experian Careers - Creating a better tomorrow together
- 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._
- #LI-REMOTE #LI-SA1_


Salario Nominal: A convenir

Fuente: Whatjobs_Ppc

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