job summary: We are seeking a highly skilled and experienced Data Scientist with 5 years of experience in big data management and analysis. The ideal candidate will have extensive expertise in handling large datasets, developing analytical models, and deriving actionable insights. Preference will be given to candidates with prior experience in DICOM imaging standards and working with medical imaging data. Key Responsibilities: Manage, analyze, and interpret large datasets to extract actionable insights.Develop and implement advanced algorithms and models for data analysis, predictive analytics, and pattern recognition.Collaborate with cross-functional teams to design data solutions that support business objectives.Work with DICOM imaging standards and medical imaging data to enhance data-driven decision-making processes.Conduct exploratory data analysis (EDA) to identify trends, anomalies, and key performance indicators.Build and maintain data pipelines for data ingestion, processing, and storage from various sources.Present data findings and recommendations to stakeholders in a clear, concise, and actionable manner.Ensure data quality, integrity, and security across all projects and workflows. Required Qualifications: 5+ years of professional experience in data science, big data management, and advanced analytics.Proficiency in Python, R, SQL, and/or other programming languages commonly used in data science.Experience in working with big data technologies such as Hadoop, Spark, or similar platforms.Hands-on experience with DICOM standards and medical imaging data is highly preferred.Expertise in data modeling, machine learning algorithms, and statistical analysis.Ability to work in a fast-paced, collaborative environment with cross-functional teams.Excellent problem-solving, critical thinking, and communication skills.A degree in Data Science, Computer Science, Engineering, or a related field. Preferred Qualifications: Experience with healthcare data and medical imaging analytics.Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for big data solutions.Experience in working on projects involving AI and machine learning for image analysis. location: Bedford, Massachusetts job type: Permanent salary: $160,000 - 180,000 per year work hours: 8am to 5pm education: Bachelors responsibilities: Key Responsibilities: Manage, analyze, and interpret large datasets to extract actionable insights.Develop and implement advanced algorithms and models for data analysis, predictive analytics, and pattern recognition.Collaborate with cross-functional teams to design data solutions that support business objectives.Work with DICOM imaging standards and medical imaging data to enhance data-driven decision-making processes.Conduct exploratory data analysis (EDA) to identify trends, anomalies, and key performance indicators.Build and maintain data pipelines for data ingestion, processing, and storage from various sources.Present data findings and recommendations to stakeholders in a clear, concise, and actionable manner.Ensure data quality, integrity, and security across all projects and workflows. qualifications: Experience level: ExperiencedMinimum 5 years of experienceEducation: Bachelors skills: data science (5 years of experience is required)dicom standards (5 years of experience is required)medical imaging data (5 years of experience is required)Python (5 years of experience is preferred) Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility). This posting is open for thirty (30) days.