DLCP Technology Data Scientist

Job Title: Technology Data Scientist
Position Overview
The Technology Data Scientist will leverage advanced analytical, statistical, and machine‑learning techniques to transform complex data into actionable insights. This role partners closely with technology teams, business stakeholders, and leadership to support data‑driven decision making, enhance product performance, and identify opportunities for innovation across the organization.

Key Responsibilities
Develop, implement, and maintain predictive models, machine‑learning solutions, and analytical frameworks to support technology initiatives. 
 Expert on the functionality or usage of a particular system, platform, or technology product.
Leads the adoption or implementation of an advanced technology or platform.
Analyze large, complex datasets using Python, R, SQL, or similar tools to discover trends, anomalies, and optimization opportunities.
Collaborate with engineering, product, and technology teams to design data pipelines, automate data processes, and ensure data quality.
Communicate insights and recommendations through dashboards, visualizations, and clear written or verbal reports.
Partner with stakeholders to define data requirements, design experiments, and evaluate technology performance.
Support the adoption of emerging technologies, such as AI/ML platforms, cloud analytics tools, and automation frameworks.
Ensure data governance, security, and ethical use of data in all analytics activities.
Required Qualifications
Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field.
Strong proficiency in Python or R, SQL, and data visualization tools (Power BI, Tableau, etc.).
Experience building machine‑learning models and applying statistical techniques.
Familiarity with cloud technologies (Azure, AWS, GCP) and modern data architecture concepts.
Ability to translate complex technical findings into clear, actionable insights for non‑technical audiences.
Strong problem‑solving skills, curiosity, and attention to detail.
Preferred Qualifications
Experience working in technology‑focused organizations or digital transformation environments.
Knowledge of MLOps, automated model monitoring, or real‑time analytics.
Background with big data processing frameworks (Spark, Databricks, etc.).
Experience with version control tools (Git) and agile development practices.
Competencies
Analytical thinking
Collaboration and communication
Innovation and continuous learning
Technical depth and adaptability
Business acumen

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CONTRACT JOB DESCRIPTION
Responsibilities:
1. Leads the adoption or implementation of an advanced technology or platform.
2. Expert on the functionality or usage of a particular system, platform, or technology product.
3. Serves as a consultant to clients, guiding the efficient use or adoption of a particular IT product or platform.
4. Creates implementation, testing, and/or integration plans.
5. Demonstrates expertise in a particular IT platform or service, allowing for maximum IT investment.

Minimum Education/ Certification Requirements:
Bachelor’s degree in Information Technology or related field or equivalent experience
Training or certification in a particular product or IT platform/service, as required