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Data Scientist

PopularSan Juan, PR

Hace 14 días

Descripción del trabajo

The Opportunity

Data Scientist I is a role that involves working on data analysis and model development under the supervision of senior team members. With a deep understanding of data science and machine learning workflows, you'll build and lead by example, fostering a culture of operational excellence. This highly cross-functional role requires strong partnerships with engineering, products, business, finance, and analytics teams, as well as accountability, and the ability to navigate fast-paced environments with agility and poise.

Your key responsibilities :

You will collaborate with multifaceted teams of specialists spread across various locations to offer a broad spectrum of data and analytics solutions.

Specifically :

Conduct thorough exploratory data analysis (EDA) to uncover insights and inform model development.

Hands on design, development, and deployment of predictive models, machine learning algorithms, and AI solutions.
Collaborate with team members and business stakeholders to understand objectives and requirements and develop analytic models that provide actionable insights.
Ensure the validity, reliability, and robustness of models by implementing best practices in model validation, testing, and calibration.
Partner with the Advanced Analytics Center of Excellence to share knowledge, best practices, and resources.
Monitor performance and outcomes of models and refine them for optimized performance.
Communicate complex analytic solutions and insights in a clear and structured manner to business stakeholders.
Ensure compliance with data governance, privacy, and security policies.

To qualify for the role, you must have :

Bachelor's degree or Master's Degree in Statistics, Mathematics, Data Science, Economics, or a related field.

A minimum of 2 years of experience in Quantitative Analytics or decision sciences

Hands on experience with analytics tools and programming languages such as R, Python, SAS, and SQL.

Proficiency in machine learning techniques and algorithms, including but not limited to k-NN, Naive Bayes, SVM, and Decision Forests.

Solid understanding of cloud computing environments and experience with deploying models in cloud environments such as AWS, Azure, or GCP.

Experience of one or more AI / ML platforms in cloud such as Sagemaker, Dataiku, DataRobot, H2O.ai, Snowpark, ModelOp Center, and Domino Data Lab.

Strong knowledge of statistical modeling, machine learning algorithms, and data analysis techniques.

Proficiency in utilizing a range of Machine / Deep Learning algorithms and frameworks, including TensorFlow, PyTorch, scikit-learn, Spark ML, Torch, Huggingface, Keras, Caffe, and CNTK.

Experience in following waterfall, iterative, scaled agile, scrum, and kanban methodologies.

Hands-on experience with On-prem & cloud data platforms such as Snowflake, AWS Redshift, Azure Synapse Analytics, Databricks, AWS Aurora, Oracle Exadata, SQL server, Hadoop, Spark, SAS and R.

Experience with Graph Networks, Fraud detection, financial crimes implementations

Proficiency in deep learning algorithms such as Convolutional Neural Networks (CNNs), Long Short-Term Memory Networks (LSTMs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Radial Basis Function Networks (RBFNs), Multilayer Perceptron (MLPs), Self-Organizing Maps (SOMs).

Implemented machine learning models by leveraging algorithms such as Linear Regression, Decision tree, SVM, Clustering, Naive Bayes, KNN, Random Forest, PCA, AdaBoost.

Expertise in validation of AI / ML models using one or more methods such as A / B testing, Chi-Square tests, ANOVA, ANCOVA, MANCOVA, MANOVA, Null Hypothesis, Alternate Hypothesis

Excellent data analysis, profiling and statistics skills coupled with proficiency in SQL tools and technologies such as Oracle, SQL Server, MySQL, Pandas, NumPy, Ggplot, Shiny, SciPy, Sci-Kit Learn, and Matplotlib.

Demonstrated experience in Hadoop, EMR (Elastic MapReduce), EKS (Elastic Kubernetes Service), ECS (Elastic Container Service), Docker, Kubernetes, and Amazon Sagemaker for visionary, scalable, and efficient machine learning workflows.

Experience in handling high volume of data in structure, semi-structured and unstructured formats such as relational, flat files, XML, JSON, Parquet, Avro, Mainframe copybooks, CSV, Fixed with and hierarchy files.

Knowledge of big data technologies such as Hadoop, Spark, or similar.

Excellent analytical and problem-solving skills.

Ability to communicate and collaborate with diverse set of team members.

What we look for :

We are seeking enthusiastic candidates who have an unwavering commitment to remain at the forefront of data technology and science. Our ideal candidates are those who aim to foster team spirit and collaboration. It is essential that you display comprehensive technical proficiency and possess a rich understanding of the industry.

If you have a genuine drive for helping consumers achieve the full potential of their data while working towards your own development, this role is for you.

Important : The candidate must provide evidence of academic preparation or courses related to the job posting, if necessary.

ABOUT US

Popular is Puerto Rico’s leading financial institution and have been evolving since it was founded over a century ago. From a small bank it has developed into a large corporation that offer a wide variety of services and financial solutions to our customers, with presence in the United States, the Caribbean and Latin America.

As employees, we are dedicated to making our customers dreams come true by offering financial solutions in each stage of their life. Our extensive trajectory demonstrates the resiliency and determination of our employees to innovate, reach for the right solutions and strongly support the communities we serve; therefore, we value their diverse skills, experiences and backgrounds.

We reaffirm our commitment to always offer essential financial services and solutions for our customers and communities, including during emergency situations and / or natural disasters. Popular’s employees are considered essential workers, whose role is critical in the continuity of these important services even under such circumstances. By applying to this position, you acknowledge that Popular may require your services during and immediately after any such events.

If you have a disability or need more information about requesting an accommodation, please contact us at asesorialaboral@popular.com . This email inbox is monitored for such types of requests only . All information you provide will be kept confidential and will be used only to the extent required to provide needed exemptions or reasonable accommodations. Any other correspondence will not receive a response.

Are you ready for a rewarding career?

Popular is an Equal Opportunity Employer

Learn more about us at www.popular.com and keep updated with our latest job postings at www.jobs.popular.com .

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Data Scientist • San Juan, PR