Data Scientist

2 weeks ago

Durham, United States Marken Full time

Title

Analyst / Data Scientist

Job Purpose

Marken is currently seeking an experienced Data Scientist to join our team, someone who is passionate about data-driven insights and has expertise in problem-solving, programming, statistics, machine learning, data analysis, data visualization, and exceptional storytelling skills.

Main Duties And Responsibilities

Problem-Solving: Lead efforts to identify and solve complex business problems using data-driven approaches, translating data into actionable insights. Programming: Develop and maintain data pipelines, algorithms, and models using programming languages such as Python, R, or Java. Statistics: Apply statistical techniques to analyze large datasets, perform hypothesis testing, and provide robust statistical solutions. Data Science: Utilize a wide range of data science techniques to extract, clean, and transform data, ensuring data quality and integrity. Machine Learning (Supervised& Unsupervised): Develop, implement, and fine-tune machine learning models for classification, regression, clustering, and anomaly detection. Data Analysis: Conduct exploratory data analysis (EDA) to uncover insights, patterns, and trends in data, presenting findings to inform decision-making. Data Visualization: Create visually compelling and informative data visualizations using tools such as Power BI. Storytelling: Communicate complex data findings effectively to non-technical stakeholders through compelling storytelling, presentations, and reports. Cross-Functional Collaboration: Collaborate with multidisciplinary teams, including engineers, analysts, and business stakeholders, to drive data initiatives. Model Deployment: Implement models into production environments, monitor performance, and ensure scalability. Continuous Learning: Stay up-to-date with the latest advancements in data science, machine learning, and Generative AI to bring innovative solutions to the organization.

Qualifications

Bachelor's or Master's degree in Computer Science, Statistics, Data Science, or a related field Proven experience (5+ years) as a Data Scientist or similar role, with a strong portfolio showcasing successful projects Proficiency in programming languages like Python, R, or Java for data manipulation, analysis, and modeling Strong statistical background and the ability to apply statistical methods effectively Expertise in supervised and unsupervised machine learning techniques and model development Proficient in data analysis, feature engineering, and data preprocessing Data visualization skills using Power BI Exceptional storytelling skills to convey complex findings in a clear and engaging manner Strong problem-solving abilities with a data-centric approach Experience with big data technologies and frameworks is a plus Knowledge of database systems and SQL for data retrieval Strong communication skills and the ability to work collaboratively in a team environment Excellent time management and project management skills Strong attention to detail and a commitment to delivering high-quality results Natural Language Processing (NLP) for text analysis Deep Learning frameworks such as TensorFlow or PyTorch Cloud platforms (e.g., AWS, Azure, Google Cloud) for data storage and processing A/B testing and experimentation Business acumen and industry-specific knowledge

Marken is a wholly owned subsidiary of UPS and is a critical part of UPS Healthcare. Marken offers a state-of-the-art GMP-compliant depot network and logistic hubs for clinical drug product storage and distribution worldwide, and supports cell and gene therapy logistics services from clinical to commercial, while maintaining the leading position for Direct-to-Patient and Home Healthcare services, biological sample shipments and biological kit production.

Moving Our World Forward By Delivering What Matters.

EEO and Veteran Employer #J-18808-Ljbffr

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