Enterprise data environments jobs

Principal Data Scientist

Philips · Posted Nov 13, 2026

Open

Bangalore, India
On-site
Senior
9+ years

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Principal Data Scientist

Philips · Posted Nov 13, 2026

Open

Bangalore, India
On-site
Senior
9+ years

Apply with Referso

Principal Data Scientist

Philips · Posted Nov 13, 2026

Open

Bangalore, Karnataka, India
On-site
Full-time · Senior
9+ years

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Lead advanced analytics, AI, and data science initiatives to drive commercial performance insights across Philips business units and regions.

Responsibilities

Partner with senior commercial stakeholders to translate business questions into analytics solutions
Own performance-analytics foundation and data governance
Build scalable dashboards and automated analytical workflows using SQL, Python and BI tools
Develop and deploy predictive and diagnostic models for commercial performance
Design and implement AI-enabled tools, Generative AI applications and conversational agents

Requirements

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Econometrics, Engineering, Mathematics or another quantitative discipline
Nice to have: additional education or hands‑on expertise in machine learning, GenAI, LLMs or AI‑product development

Skills

Python SQL statistics data modelling data quality

Forward Deployed Engineer - Entry Level

SharkNinja · Posted Nov 11, 2026

Open

Needham, Massachusetts, United States
Entry
$95K–$125K per year
0–2 years

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Compensation

$95,000—$125,000 USD

Responsibilities

Learn the business. Work with team members and business partners to understand operational processes, data, and the challenges teams face in their daily work.
Build and contribute. Develop components of applications, data products, and automation solutions under the guidance of experienced engineers.
Work with data. Write SQL queries, analyze datasets, support data transformations, and help improve data quality and accessibility.
Develop automation. Use Python and other tools to automate repetitive tasks, streamline workflows, and support business reporting and analysis.
Explore practical AI applications. Assist with building, testing, and validating AI-enabled tools that help business teams work more effectively, with appropriate human review.

Requirements

Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, Mathematics, or related discipline
Nice to have: business intelligence
Nice to have: data engineering
Nice to have: automation tools
Nice to have: consumer products

Skills

Python SQL

Cons Prod Strategic Analyst IV- Strategy Validation Quality Assurance

Bank of America · Posted Nov 5, 2026

Open

Newark, New Jersey, United States
On-site
Senior

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Responsible for end-to-end QA validation of change initiatives impacting the Strategy Decision Engine (SDE) for consumer products portfolios.

Responsibilities

Perform complex analysis of financial models, market data, and portfolio trends to improve risk and profitability
Coach and mentor peers on systems and technical topics
Identify business trends and communicate findings to senior management
Support execution of large scale projects such as platform conversions or new integrations
Review and challenge Business Requirements Documents (BRDs) to identify gaps and risks

Requirements

Nice to have: Knowledge of Bank of America data environments
Nice to have: Consumer Credit Assistance/Collections products
Nice to have: Strategy decisioning
Nice to have: Operational processes
Nice to have: Validating complex decision-engine implementations

Skills

Advanced SAS programming Macro programming Data manipulation Joins Troubleshooting

Enterprise data environments jobs

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