Data Scientist - Senior Associate

Job Description

We are HR Data and Analytics, a centralized global team responsible for all aspects of workforce data strategy, analytics and reporting, data governance, and artificial intelligence and machine learning (AI/ML) based solutions. We are looking for strong industry experience in quantitative and statistical modeling, data mining, insights delivery, and innovative mindset to analyze large-scale multi-dimensional workforce data. You will be a key contributor and collaborator to our intellectual capital by developing intelligent discovery and decisioning tools.

As a Data Scientist - Senior Associate within the Analytics Team, you will actively engage in analyzing large-scale data to develop analytical, statistical, and data science models that reveal underlying patterns and address business questions related to employee relations, conduct, customer complaints, and talent insights. In this team member contributor role, you will collaborate with various internal stakeholders, translate business inquiries into analytical frameworks, work alongside subject matter experts, and master workforce data. You will implement solutions such as analytics dashboards, proprietary models, and visualization schemes, while continuously embracing learning and innovation by adopting the latest tools and technologies.

Job responsibilities:

• Build and deliver statistical explanatory models, repeatable-scalable analytics workflows, leverage AI tools - from quality checks, feature engineering, to model performance evaluation, and collaborate with technology teams in seamless deployment and operational enhancement in support of HR and partner business functions' evidence-based data-driven decision.
• Build custom visualization and reporting solutions to communicate insights, trends, and recurring solutions needed for end-user consumption and cross-functional teams in business & technology
• Customize commercial or open-sources analytical solutions, create new algorithms to build proprietary solutions contributing to intellectual capital of the organization.
• Embrace attention to detail, accountability, rigor, timeliness, and robustness in presenting results to a broad spectrum of stakeholders via reports, PowerPoint decks, and insightful visualizations.
• Capture and understand business processes, end-user requirements, translate into customized analytical solutions, communicate results.
• Create and document institutional knowledge from workforce data insights, models, and share such knowledge with relevant team members and stakeholders
• Adhere to various control functions directives, documentation, data protection policies, and regulatory requirements while handling proprietary and sensitive data.

Required qualifications, capabilities, and skills:

• Bachelor's degree with 5+ years of experience or a Master's degree with 3+ years in a relevant quantitative field.
• Proficiency in quantitative and statistical data modeling tools (e.g., Python, R, scikit-learn etc.) to implement a variety of methods (e.g., hypotheses testing, multiple regression, multivariate analyses), exploratory (e.g., clustering, multi-dimensional scaling), anomaly detection, and AI-ML techniques (e.g., supervised / unsupervised / reinforcement learning).
• Proficiency in data wrangling, transformation, end-to-end workflows for complex multi-dimensional data, and automation (e.g., SQL, Alteryx, Business Objects, DataBricks, etc.)
• Expertise in data analytics and visualization tools such as Tableau or Power BI.
• Expertise in one or more cloud and supporting data analytics frameworks, such as various AWS data processing services, SageMaker, Starburst, Databricks, SnowFlake, etc.
• Strong understanding of mathematical concepts and application of statistical pattern recognition (e.g., PCA, correlations), algorithms (e.g., logistic regression, gradient boosting, support vector machines, K-means), model interpretation, cost functions, and performance evaluation (e.g., ROC, hyper parameter tuning)
• Experience in text mining and NLP analytics, such as customer/employee survey analyses, unstructured data, segment analysis, pattern detection from topic modeling, etc., using variety of commercial or open source techniques.
• Experience with data analytics tools and frameworks, such as AI tools, feature engineering, and model performance evaluation.
• Experience with data platforms like Databricks, SnowFlake, or similar technologies.
• Strong client engagement and technical project execution skills and demonstrated industry experience as individual contributor within larger teams collaborating across multiple concurrent priorities.

Preferred qualifications, capabilities, and skills:

• Experience with graph databases and network analyses.
• Familiarity with Generative AI techniques.
• Experience in client engagement or technical project execution.
• Familiarity domain knowledge or prior experience in HR, people analytics employee relations, recruitment, compensation, labor market research, customer interaction data preferably in the financial services industry.
• Experience managing ambiguity, articulating complex issues in easy-to-understand ways
• Experience with project management concepts, such as JIRA, BitBucket, etc.

About Us

JPMorganChase, 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 offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

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. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

About the Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.