AI/Data Science Engineer II

Planet Pharma; Illinois; On-site; USD 90,000 - 130,000; Full time

Job summary

Planet Pharma is seeking a technically adept developer with deep Microsoft ecosystem experience to build data-driven software in evolving AI environments. The role emphasizes implementing algorithms, ML modeling, and scalable solutions across product and system applications.

The candidate will translate research into production code, apply deep learning techniques, and adapt to rapidly changing AI tools, supporting analytics, automation, and Copilot-based initiatives.

Qualifications

• BS degree required.
• Proficiency in Microsoft 365 tools (Power BI, Copilot Studio, SharePoint).
• 5+ years of relevant experience.

Responsibilities

• Develops and programs integrated software algorithms to analyze and leverage data in products and systems.
• Uses machine learning and statistical methods to improve product performance and data management.
• Translates algorithms and specifications into production-ready code and documentation.
• Applies deep learning to enable computers to visualize, learn and respond to complex situations.

Skills

Strong developer

Microsoft ecosystem

AI automation analytics Copilot

Adapt to evolving AI tools

Education

BS

Tools

Power BI

Copilot Studio

SharePoint

Job description

Top 3 technical skills that are required for the role:

1. Strong technically as a developer
2. Fluent in the Microsoft ecosystem
3. Able to support AI, automation, analytics, and Copilot-based solutions
4. Capable of growing with rapidly evolving AI tools and platforms

.

Education Required: BS,Microsoft ecosystem (365 suite, Power BI, Copilot Studio, Sharepoint, etc.)

Years’ Experience Required: 5+

Responsibilities may include the following and other duties may be assigned.
In new product design roles: develops and programs integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments.
Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms.
In product/systems improvement projects: uses machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy.
In both theoretical development environments and specific product design, implementation and improvement environments, uses current programming language and technologies to translate algorithms and technical specifications into code.
Completes programming and implements efficiencies, performs testing and debugging.
Completes documentation and procedures for installation and maintenance.
Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations.
Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience.
Can work with large scale computing frameworks, data analysis systems and modeling environments.

TECHNICAL SPECIALIST CAREER STREAM: An individual contributor with responsibility in our technical functions to advance existing technology or introduce new technology and therapies. Formulates, delivers and/or manages projects assigned and works with other stakeholders to achieve desired results. May act as a mentor to colleagues or may direct the work of other lower level professionals. The majority of time is spent delivering R&D, systems or initiatives related to new technologies or therapies – from design to implementation – while adhering to policies, using specialized knowledge and skills.
DIFFERENTIATING FACTORS
Autonomy: Established and productive individual contributor.
Works independently with general supervision on larger, moderately complex projects / assignments.
Organizational Impact: Sets objectives for own job area to meet the objectives of projects and assignments.
Contributes to the completion of project milestones.
May have some involvement in cross functional assignments.
Innovation and Complexity: Problems and issues faced are general, and may require understanding of broader set of issues or other job areas but typically are not complex.
Makes adjustments or recommends enhancements in systems and processes to solve problems or improve effectiveness of job area.
Communication and Influence: Communicates primarily and frequently with internal contacts.
External interactions are less complex or problem solving in nature.
Contacts others to share information, status, needs and issues in order to inform, gain input, and support decision-making.
Leadership and Talent Management: May provide guidance and assistance to entry level professionals and / or employee in Support Career Stream.
Required Knowledge and Experience: Requires practical knowledge and demonstrated competence within job area typically obtained through advanced education combined with experience.
Requires a Baccalaureate Degree and minimum of 2 years of relevant experience, or advanced degree with 0 years of experience. (For degrees earned outside of the United States, a degree which satisfies the requirements of 8 C.F.R. § 214.2(h)(4)(iii)(A)).