DLCP - Technology Data Scientist

Responsible for implementation, design, testing, or integration of enterprise level technology projects. Considered to be an expert in emerging or advanced technologies/platforms.

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

Required/Desired Skills

Skill Required /Desired Amount of Experience
Bachelor s degree	Required	5	Years
Leading advanced technology projects or service projects	Required	5	Years
Hands-on experience in specific product or IT platform	Required	5	Years
Creating implementation/integration plans, test plans, and training materials	Required	5	Years
Full system engineering lifecycle	Required	3	Years
Industry certification/training in specific IT product/platform or service	Required	3	Years
Adept at queries, report writing, and presenting findings.	Required	3	Years
Experience querying databases in SQL.	Required	3	Years
Professional experience manipulating data sets and building statistical models. Experience creating and using advanced machine learning algorithms.	Required	3	Years
Professional experience in Python or R.	Required	3	Years

Questions

No. Question

Question1

Absences greater than two weeks MUST be approved by CAI management in advance, and contact information must be provided to CAI so that the resource can be reached during his or her absence. The Client has the right to dismiss the resource if he or she does not return to work by the agreed upon date. Do you agree to this requirement?

Question2

What is your candidate's email address?

Question3

Candidates submitted above the hourly NTE Vendor Rate $$.$$ of $$.$$ will not be considered. Do you agree to this requirement?

Question4

There are no reimbursable expenses. Do you agree to this requirement?

Question5

By submitting your candidate to this requisition, you are indicating your company s acceptance of the terms and conditions contained within the Supplier Agreement and Amendment #2022-01 to the Supplier Agreement. Do you agree to this requirement?

Existing Incumbent Resource?: Yes