[New Job Vacancy] Data Scientist job in JPMorgan Chase Bank, N.A., (Hyderabad, Telangana) – Jobs in Hyderabad, Telangana

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Job Opening details:-
Company Name :-
JPMorgan Chase Bank, N.A.
Position Name :-
Data Scientist
Company Location :-
Hyderabad, Telangana
Job Category :-
Jobs in Hyderabad

Full Job Description :-
Our Global Technology Infrastructure group is a team of innovators who love technology as much as you do. Together, we use a disciplined, innovative, and business focused approach to develop a wide variety of high-quality products and solutions. You’ll work in a stable, resilient, and secure operating environment where you-and the products you deliver-will thrive.
The Technology Reference Data team is seeking a Data Scientist for our data lake platform, which ingests, curates and makes available to our internal consumers all types of technology data, including events, logs, metrics, alerts, reference and synthetic data generated by our on and off premises infrastructure. Through careful data curation and various analytics and business intelligence facilities, this data platform provides insights into various operational metrics, issues, controls/compliance, and improvement opportunities, as well as supplying highly curated data to power our ML/AI operations.
As a Data Scientist, you would be expected to help customers leverage our data platform to build AI-Ops solutions. You will be expected to work across teams to design, develop, evaluate and execute analytical solutions with a keen functional understanding of the business problem. You will be responsible for data wrangling, data analysis, data visualization, modeling, including model selection and producing quick applicable modeling solutions.
Key Requirements for the Role:

12+ Years of proven work experience
Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets
Strong understanding of the Machine Learning lifecycle – feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop.
Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning.
Experience with analytical programming languages, tools and libraries (Python)
Experience in SQL and relational databases, Distributed compute frameworks such as Spark
Experience working with REST APIs
Experience working with Data Visualization tools such as Qlik, Tableau etc.
Knowledge of how to operationalize Machine Learning models using workflow management tools such as Airflow would be preferred
Knowledge of Public Cloud Platforms (such as AWS) would be preferred
Knowledge of Containers (Docker, Kubernetes) would be preferred
Good understanding of programming best practices and building for re-use
Strong leadership, stakeholder management, communication, partnership and teamwork skills
Ability to work in an extremely fast paced environment, meet deadlines, and perform at high standards with limited supervision.
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental health or physical disability needs.

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