Data Scientist II at Experian

Heredia, , Costa Rica -

Full Time

Start Date

Immediate

Expiry Date

14 Apr, 26

Salary

0.0

Posted On

14 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Science, Statistical Modeling, Cloud Computing, E-commerce, Digital Marketing, Regression, Support Vector Machines, Neural Nets, Natural Language Processing, Deep Learning, Convolutional Neural Networks, Recurrent Neural Networks, Hadoop, Spark, Python, R

Industry

Information Services

Description

Company Description Experian is a global company in data services, helping organizations and consumers manage risk and make informed decisions. We empower individuals and businesses at important life moments, from purchasing a home to expanding customer bases. With over 125 years of experience, we specialize in data gathering, analysis, and fraud prevention. Our 21,700 employees across 30 countries are dedicated to innovation and creating opportunities for a better tomorrow. Recently ranked the fifth-best company to work for in Costa Rica, we prioritize inclusive culture, employee well-being, and career development. Join us at www.experian.com/careers to be part of our team. Job Description Experian Consumer Services is looking for a Data Scientist II to help provide personalized financial solutions to our customers. Extract insights from data and deliver a ML project from beginning to end, including understanding our needs, training/validating ML models, and deploying ML models to applications. What you'll do Develop machine learning algorithms with huge data sets to solve challenging business questions. Improve performances of existing algorithms. Discover new data sources and create new input features for ML models. Build end-to-end data pipeline for ML models Communicate important analytical results to partners. What your background is: Advanced degree in a quantitative field (Machine Learning, Data science, Computer Science.) or equivalent professional experience. 5 years of work experience in data science or statistical modeling using cloud computing services such as AWS, Google Cloud Platform, Snowflake, Databricks, etc.. Experience with e-commerce and digital marketing is preferred. Experience with statistical modeling techniques such as regression, support vector machines, and neural nets. Experience with natural language processing. Experience with deep learning algorithms such as convolutional neural networks and recurrent neural networks. Experience with cluster-computing framework, such as Hadoop or Spark. Experience with analytical tools and programming languages such Python or R. Working knowledge of SQL. Qualifications Advanced degree in a quantitative field (Machine Learning, Data science, Computer Science) or equivalent professional experience. 3-5 years of work experience in a quantitative field such as data science or statistical modeling using cloud computing services such as AWS, Google Cloud Platform, Snowflake, Databricks, etc.. Experience with e-commerce and digital marketing is preferred. Experience with statistical modeling techniques such as regression, support vector machines, and neural nets. Experience with natural language processing. Experience with deep learning algorithms such as convolutional neural networks and recurrent neural networks is a plus. Experience with group-computing framework, such as Hadoop or Spark. Experience with analytical tools and programming languages such Python or R. Working knowledge of SQL. Additional Information Benefits/Perks: Our benefits include: Medical, life and dental insurance, Asociacion 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. This is a fully remote job opportunity. #LI-Remote Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Employee Status: Regular Role Type: Home Department: Analytics Schedule: Full Time

Responsibilities

The Data Scientist II will develop machine learning algorithms to solve business questions and improve existing algorithms. They will also build end-to-end data pipelines and communicate analytical results to partners.