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Data Scientist jobs in National Capital Region

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    • Able to approach data without bias, questioning assumptions and verifying the “why” behind data anomalies before drawing conclusions.
    • View all Orange and Bronze Software Labs, Inc. jobs - National Capital Region jobs - Data Scientist jobs in National Capital Region
    • Salary Search: AI and Data Science Trainee salaries in National Capital Region
    • Partner with senior data scientists and cross-functional stakeholders to understand business problems and translate them into analytical approaches.
    • Define data requirements and feature sets o Ensure data quality, consistency, and usability o Operationalize models into production pipelines *Validate datasets…
    • Strong understanding of statistical techniques and data modeling methodologies.
    • Foundational knowledge of data analysis, statistics, and programming.
    • Rigorous and uncompromising approach to ensuring data quality and integrity.
    • Stay updated with the latest developments in data science using AI and ML.
    • Understanding of data security, data quality and data integrity.
    • Review data security requirements and identify any data security concerns or data anomalies…
    • Identify deviations from expected data patterns, indicate errors and unusual data results of different financial data sets available to be reported to the…
    • Contribute to the development of data acquisition, cleaning, transformation, and processing workflows as part of the enterprise data management framework.
    • Support job description standardization and data quality initiatives.
    • Experience with machine learning deployment and data pipelines.
    • Performs advanced data hygiene checks and implement precautionary measures to ensure data quality.
    • Performs data analysis and reporting utilizing a detailed…
    • Collaborate with cross-functional teams to define data requirements and ensure data quality and integrity.
    • Automate data workflows and reporting processes to…
    • A data scientist who works on the Microsoft data platform and is measured on decisions changed, not models trained.
    • Knowledge of data security and compliance.
    • Proven experience in data management and analytics.
    • Proficiency in data visualization tools and techniques.
    • Manipulate data using R or SQL Server; develop advanced ad hoc queries to investigate data anomalies and to summarize data for pattern detection.
    • Ensure data quality, accuracy, consistency, and completeness across data processes.
    • 3+ years of experience in data science or a related field.

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Job Post Details

AI and Data Science Trainee - job post

Orange and Bronze Software Labs, Inc.
4.1 out of 5 stars
National Capital Region•Hybrid work
You must create an Indeed account before continuing to the company website to apply

Job details

Job type

  • Full-time

Location

National Capital Region•Hybrid work

Full job description

Career Opportunity:
AI and Data Science Trainee
Job Description

The AI and Data Science Trainee is responsible for designing data modeling processes, creating algorithms, and developing predictive models to extract essential business data.

S/he works closely with both internal and external business stakeholders. This involves understanding the organization’s goals and identifying ways to leverage data to achieve them.

Work Setup: Hybrid

Work Location: Makati

Duties and Responsibilities
Designing Data Modeling Processes: Establish how data should be structured and connected to support analytical needs.
Algorithm Creation: Writing custom code and logic to solve specific business problems rather than just using “out-of-the-box” tools.
Predictive Modeling: Develop machine learning models to forecast future trends, customer behaviors, or business outcomes.
Data Extraction: Identify and pull essential data points from larger, noisier datasets.
Bridging Data and Goals: Translating raw numbers into actionable insights that directly align with what the organization is trying to achieve.
Internal & External Consultation: Acting as a bridge between technical teams and non-technical partners (like clients or other departments).
Goal Alignment: Actively listen to business leaders to ensure the data science roadmap actually solves their most pressing problems.

Technical Must-haves:
Knowledge of Python or R for data manipulation and algorithm development.
Knowledge of or exposure in Applied Statistics.
Basic to intermediate SQL skills (joins, aggregations, and subqueries).
Familiarity with the machine learning lifecycle, including building and evaluating models such as Regression or Random Forest.
Experience with A/B testing, hypothesis testing, and validating model performance using rigorous statistical metrics is a plus.
Experience with tools like Looker Studio, Tableau, Power BI, or similar to create intuitive dashboards is a plus.
Experience through internships, academic coursework, or personal portfolios (e.g., GitHub/Kaggle) is highly valued.
Required Skills & Qualifications
Bachelors Degree in a highly quantitative field: Mathematics, Statistics, Computer Science, Economics, Industrial Engineering, or a related discipline.
Open to Fresh Graduates and Career Shifters.
Open to those without experience, but willing to be trained.
Able to approach data without bias, questioning assumptions and verifying the “why” behind data anomalies before drawing conclusions.
Proficient in extracting trends from noisy or unstructured datasets to forecast future behaviors.
Capable and adaptable to pivoting strategies or switching algorithmic approaches when initial hypotheses are disproven by the data.
Adept at converting vague stakeholder pain points into precise technical requirements and actionable “business-speak.”
Works effectively within agile environments, contributing to code reviews, and participating in whiteboarding sessions with engineers.
Able to manage differing priorities between departments (e.g., balancing the Engineering need for stability with the Business need for rapid deployment).
Ability to translate complex statistical findings into clear, actionable “business-speak” for executive stakeholders.
Proven ability to manage expectations and provide data-driven recommendations to both internal teams and external stakeholders.
Seniority Level
Junior,Mid-Level
Employment Type
Full-time
Job Function
Information Technology,Project Management,Consulting,Engineering
Industries
IT Services,IT Consulting,Software Development
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