Data Scientist (ML/Data Science)
Location: Conshohocken, PA
Job Type: Contract To Hire
Company: IDR
Category: DevOps
Job Description Apply Now
Data Scientist (ML/Data Science) – Full-Time Opportunity in Conshohocken, PA
Are you passionate about leveraging data to drive impactful business decisions and innovation? IDR is seeking a dedicated Data Scientist (ML/Data Science) to join a leading organization in Conshohocken, PA. This full-time role is designed for professionals ready to build, optimize, and deploy advanced machine learning solutions that bolster personalization, automation, and data-driven decision-making across digital platforms. As a key member of a collaborative and agile team, you will work closely with data engineers, product managers, and business stakeholders to deliver measurable results and support the organization's digital transformation journey.
As a Data Scientist (ML/Data Science), you will play a crucial role in transforming business challenges into actionable insights and scalable solutions. Your expertise in Python, SQL, machine learning frameworks, and cloud computing will be essential in developing reliable AI-driven systems that elevate user engagement and operational efficiency. You will also have the opportunity to contribute to the design of robust data pipelines, implement production-grade model deployment and monitoring, and communicate complex analytics insights to both technical and non-technical stakeholders.
Joining our team in Conshohocken, PA, means becoming part of a vibrant tech community within a dynamic environment that values innovation, growth, and continuous learning. The area offers a strong business ecosystem and access to top-tier resources, making it an excellent location for tech professionals to thrive.
Data Scientist (ML/Data Science) - Summary- Develop, optimize, and deploy machine learning models to enhance personalization and automate key business processes.
- Collaborate with cross-functional teams including data engineering, product, and business units to deliver scalable data solutions.
- Implement best practices for model deployment, monitoring, and maintenance to ensure long-term performance and reliability of ML systems.
- Apply cutting-edge AI techniques, including generative AI and large language models (LLMs), to solve complex business challenges.
- Present methodologies, results, and actionable recommendations to diverse audiences, ensuring clarity and alignment with organizational goals.
- Design, build, and maintain machine learning models and algorithms for real-world applications.
- Work with data engineers to create, test, and improve scalable data pipelines and ETL workflows for large datasets.
- Deploy models to production environments and utilize MLOps tools for versioning, monitoring, and lifecycle management.
- Utilize cloud platforms (AWS and/or GCP) to develop and manage data science projects efficiently and securely.
- Conduct robust statistical analysis and experimentation (e.g., A/B testing) to validate solutions and optimize performance.
- Communicate statistical concepts and analytical findings to stakeholders, translating data insights into business value.
- Continuously evaluate and adopt emerging machine learning frameworks and automation tools to enhance productivity and model robustness.
- Competitive compensation package aligned with industry standards.
- Comprehensive benefits including Medical, Vision, Dental, and Life Insurance coverage.
- Access to an Employee Stock Ownership Program, supporting long-term financial growth.
- Dedicated Engagement Manager to support professional development and career advancement.
- Recognition in the industry as a ClearlyRated’s Best of Staffing® award winner for twelve consecutive years.
- Minimum of 5 years professional experience in Data Science, Machine Learning, or related fields.
- Advanced proficiency in Python and SQL, with demonstrated experience handling large-scale datasets.
- Hands-on experience with modern machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
- Proven experience deploying and supporting models in production environments using MLOps and automation tools (MLflow, Airflow, CI/CD workflows, monitoring solutions).
- Strong foundation in statistics, probability, and experimental design, including A/B testing methodologies.
- Experience working in cloud environments such as AWS or GCP.
- Excellent communicator, able to convey complex technical information to both technical and non-technical audiences.
- Collaborative, adaptable, and thrives in a fast-paced, Agile environment.
- Demonstrated passion for continuous learning, keeping up-to-date with advancements in AI, ML, and data science tools.
- Detail-oriented, with strong problem-solving skills and a commitment to delivering high-quality, scalable solutions.
- Proactive team player who embraces challenges and seeks innovative approaches to complex problems.
- Join a company with over 25 years of proven industry experience across multiple major markets.
- Collaborate with a supportive, award-winning team that values growth, diversity, and inclusion.
- Benefit from a strong organizational commitment to employee success and engagement.
- Legal Disclaimer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. IDR is subject to certain governmental recordkeeping and reporting requirements for the administration of civil rights laws and regulations. In order to comply with these laws, we invite employees to voluntarily self-identify their race or ethnicity, gender, and veteran status (if applicable). Submission of this information is voluntary and refusal to provide it will not subject you to any adverse treatment. The information obtained will be kept confidential and may only be used in accordance with the provisions of applicable laws, executive orders, and regulations, including those that require the information to be summarized and reported to the federal government for civil rights enforcement.
If you are eager to make an impact in a growing organization and advance your career as a Data Scientist (ML/Data Science) in Conshohocken, PA, we encourage you to apply now by clicking the job application button. Take the next step in your career and join an industry leader dedicated to innovation and success.