Senior Data Scientist or Software Developer

Dear Partner,

Good Morning ,
Greetings from Nukasani group Inc !, We have below urgent long term contract project immediately available for Senior Data Scientist / Software Developer (NLP & Machine Learning), Jackson, MS, Remote need submissions you please review the below role, if you are available, could you please send me updated word resume, and below candidate submission format details, immediately. If you are not available, any referrals would be greatly appreciated.

Interviews are in progress, urgent response is appreciated. Looking forward for your immediate response and working with you.

Candidate Submission Format - needed from you
Full Legal Name
Personal Cell No ( Not google phone number)
Email Id
Skype Id
Interview Availability
Availability to start, if selected
Current Location
Open to Relocate
Work Authorization
Total Relevant Experience
Education./ Year of graduation
University Name, Location
Last 5 digits of SSN
Country of Birth
Contractor Type

DOB: (dd/mm) mm/dd

Home Zip Code

LinkedIn ID

Assigned Job Details

Job Title : Senior Data Scientist / Software Developer (NLP & Machine Learning)
Location: Jackson, MS, Remote
Rate : Best competitive rate

Position Overview

The client is seeking a highly skilled Data Scientist / Software Developer to support a proof-of-concept (POC) initiative focused on enhancing the child welfare intake process through advanced technologies, including Natural Language Processing (NLP) and Machine Learning (ML).

This role plays a critical part in demonstrating how modern data science and AI-driven solutions can improve decision-making, optimize resource allocation, and ultimately enhance outcomes for at-risk children. The selected candidate will collaborate closely with State stakeholders and cross-functional technical teams to design, develop, and validate innovative solutions.

Key Responsibilities

1. Current State Analysis & Discovery

• Collaborate with MDCPS stakeholders and project teams to gain a deep understanding of the existing intake process, workflows, and outcomes

• Analyze how intake data informs decision-making and resource allocation

• Identify process inefficiencies, gaps, and opportunities for improvement through workshops, interviews, and discovery sessions

• Evaluate and document internal data sources currently used within the intake process

2. Solution Design & Innovation

• Design and propose an enhanced intake process leveraging NLP and machine learning techniques

• Develop data-driven approaches to improve child outcomes while optimizing resource utilization

• Quantify the potential impact of proposed solutions using measurable performance indicators

3. Data Strategy & Future-State Planning

• Assess how future changes to MDCPS core systems may impact data availability and structure

• Identify and map anticipated changes in data sources

• Adapt solution design to ensure scalability and compatibility with evolving data environments

4. Architecture & Design Reviews

• Conduct both preliminary and final design reviews of the proposed solution

• Present expected outcomes, assumptions, and differences observed in the proof-of-concept

• Ensure data privacy and security, particularly when leveraging Large Language Models (LLMs)

• Identify and validate data sources for the POC; propose alternative strategies if State data is unavailable

5. Proof-of-Concept Development & Implementation

• Design and develop a working prototype demonstrating the proposed solution

• Establish data hosting mechanisms (State-provided, simulated, or alternative datasets)

• Build the solution using technologies such as Python, Java, C++, SQL, and modern frameworks

• Utilize databases such as PostgreSQL or equivalent

• Integrate data pipelines and ensure seamless interaction between models and data sources

• Perform rigorous testing to validate functionality, performance, and reliability

• Evaluate and demonstrate the projected impact on child outcomes and State resource utilization

6. Stakeholder Engagement & Demonstration

• Conduct conference room pilot demonstrations (3–4 days) showcasing the solution

• Provide stakeholders with hands-on experience using the prototype

• Facilitate feedback sessions and refine the solution based on stakeholder input

• Deliver one-on-one demonstrations to validate effectiveness and usability

7. Agile Delivery & Collaboration

• Actively participate in Agile/Scrum processes, including sprint planning, reviews, and retrospectives

• Collaborate with cross-functional teams to ensure timely and high-quality delivery

• Maintain clear and comprehensive technical documentation

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Physics, or a related field

• Experience supporting U.S. Federal Government data science programs, including environments requiring TS/SCI clearance

• Proven experience developing custom AI/ML solutions from the ground up, including NLP and LLM-based systems

• Minimum 2+ years of hands-on experience designing and implementing machine learning models using first-principles approaches (not solely pre-built libraries)

• Strong academic foundation in:

  • Calculus (full series)

  • Linear Algebra

  • Statistics
    (Discrete Mathematics, Advanced Statistics, or Differential Equations are a plus)

Technical Skills

• Programming: Python, Java, C++, SQL

• Web/Frameworks: React, Next.js, Node.js

• Databases: PostgreSQL, MySQL, SQL Server

• Cloud Platforms: AWS (preferred)

• Experience deploying ML models in pilot or production environments

Additional Skills & Competencies

• Strong understanding of model validation, evaluation metrics, and performance tuning

• Experience delivering solutions in public sector or regulated environments

• Ability to communicate complex technical concepts to both technical and non-technical stakeholders

• Strong analytical, problem-solving, and critical-thinking skills

• Proven ability to work independently and collaboratively in a fast-paced environment

Best,

Bhavani
Recruiter | IT & Digital Marketing

P:
540 W Galena Blvd, Suite 200
Aurora, IL 60506