Data Science Engineer

Job Title: Data Science Engineer

Introduction: We are seeking a highly skilled Data Science Engineer with 4 to 7 years of experience to join our dynamic team. This role is pivotal in driving data-driven decision-making by transforming complex business problems into actionable technical solutions. The ideal candidate will leverage expertise in R Programming Language, Python, Machine Learning, NLP, and Data Mining to develop advanced predictive models and insightful analytics that directly impact quality, risk management, and operational efficiency within our organization.

Roles and Responsibilities:

• Translate complex business challenges into clear, executable technical plans and communicate results effectively to stakeholders.

• Perform rigorous statistical analysis to determine appropriate methodologies based on the problem context.

• Design and implement advanced feature engineering techniques, including:

• Creating predictive features from diverse datasets.

• Extracting text-based features using NLP to convert unstructured data into numerical insights.

• Developing time-series features such as rolling averages and control charts from sensor or operational data.

• Constructing interaction features linking multiple datasets to uncover hidden patterns.

• Build, validate, and deploy machine learning models (e.g., random forest, XGBoost) to identify key drivers of quality defects and other critical outcomes.

• NLP techniques to analyze unstructured data sources such as customer complaints, risk management documents, and non-conformance descriptions.

• Conduct advanced data manipulation and integration using SQL, Python, or R to prepare datasets for modeling and analysis.

• Communicate findings using compelling data visualization to inform decision-making across teams.

• Collaborate with cross-functional teams including R&D, manufacturing, and quality assurance to ensure data solutions align with business goals.

• Maintain compliance with industry regulations and standards pertinent to highly regulated sectors such as pharmaceuticals, medical devices, or finance (preferred).

• Support cloud-based data infrastructure initiatives using platforms like AWS, Azure, or GCP (advantageous).

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.

• 4 to 7 years of professional experience in data science, machine learning, or related roles.

• Proven expertise in R Programming Language and Python for data analysis and model development.

• Strong background in statistical analysis and data mining techniques.

• Hands-on experience with NLP applications on unstructured text data.

• Demonstrated ability to build and deploy classification models such as random forest and XGBoost.

• Proficiency in SQL and data wrangling using Python or R.

• Experience in feature engineering for time-series and interaction features.

• Excellent communication skills with ability to clearly articulate technical results to non-technical stakeholders.

• Experience in regulated industries (pharma, medical device, finance) and cloud platforms (AWS, Azure, GCP) is a plus.

Tools and Technologies:

• R Programming Language

• Python (including libraries such as pandas, scikit-learn, nltk/spacy for NLP)

• SQL for data querying and manipulation

• Machine Learning frameworks (e.g., XGBoost, random forest)

• Natural Language Processing tools and techniques

• Data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn)

• Cloud platforms (AWS, Azure, GCP) – preferred

Join us as a Data Science Engineer and play a crucial role in harnessing the power of data to solve complex business problems end-to-end, driving innovation and quality improvements across the organization.