Senior Analytics Engineer

Eclaro - Summit, NJ

Full-time - Mid Level

Summit, NJ

Administrative and Support Services

About the position

Eclaro is seeking a Senior Analytics Engineer to join our client in Summit, NJ, a leader in the Biopharmaceutical Industry. This role is pivotal in delivering life-changing healthcare solutions by leveraging data engineering, preprocessing, exploratory data analysis, and model development. The Senior Analytics Engineer will interact with various databases to ensure the ingestion, integration, and delivery of data across multiple platforms, maintaining data integrity and adhering to clean data principles. In this position, you will lead team code reviews and enhance programming practices while independently coordinating and managing analytics projects across several departments and with cross-functional stakeholders. Regular communication with team members is essential to provide updates and collaborate on deliverables. You will be accountable for leading, documenting, and managing analytics User Requirement Specifications (URS) and User Acceptance Testing (UAT) through execution for Global Process Owners (GPO). The role also involves designing and delivering digital solutions that streamline access to analytics and data, working with subject matter experts to derive insights that improve manufacturing-related data transformations and initiatives. A high level of teamwork and collaboration is expected, utilizing both supervised and unsupervised methods to drive insights from vast amounts of unlabeled data. You will ensure lifecycle management of code through version control and associated repositories, develop high-quality analytical and statistical models, and document all technical work comprehensively.

Responsibilities

• Performs data engineering, preprocessing, exploratory data analysis, and model development by interacting with a variety of databases.
• Responsible for ingestion, integration and delivery of data across multiple platforms.
• Works to maintain and uphold data integrity and clean data principles.
• Responsible for leading team code review and improving team programming practices.
• Independently coordinates and manages analytics projects across several departments and with cross-functional stakeholders.
• Communicates with team members regularly to provide updates and collaborate on deliverables.
• Accountable for leading, documenting and managing analytics URS and UAT through execution for GPO.
• Leads and engages colleagues who complete data-related activities.
• Designs and delivers digital solutions that streamline access to analytics & data.
• Works with domain SMEs to derive insight and value to improve manufacturing-related data transformations and improvement initiatives.
• Displays a high level of teamwork and collaboration both within and across functions.
• Utilizes supervised or unsupervised methods, learning from vast amounts of unlabeled data to drive insight.
• Ensures life cycle management of code is maintained through version control and associated repositories.
• Develops high quality analytical and statistical models, insights, patterns, visualizations, that can be used to improve decision making in manufacturing operations.
• Responsible for documentation of all technical work both within and outside of formal document management systems.
• Independently develops code and analytical models to automate data transformation and analysis.

Requirements

• Advanced SQL skills (5+ years).
• 2+ years' experience working with DBT.
• 5+ years working with relational databases.
• M.S. in Computer Science, Chemical Engineering, Biostatistics or similar with 6 years industry experience or Ph.D. in Computer Science, Chemical Engineering, Biostatistics or similar with 3 years industry experience.
• Intermediate Python skills.
• Intermediate visualization (Tableau, Dashboarding) experience.
• Ability to work on a global team and communicate across several time zones.
• Experience working with unstructured text.
• Dashboard development experience (Tableau, Spotfire, and DASH).
• Proficient in writing and developing analytical and machine learning models using python modules including Pandas, NumPy, Scikit-learn, and TensorFlow.
• Experience developing and implementing MLOps pipelines.
• Experience building analytical and statistical models to answer key business questions.
• Experience using Git via the command line.
• Strong understanding of core statistical concepts to solve real world problems.
• Intermediate to advanced proficiency (3+ years post academia experience as an independent contributor designing and delivering data solutions) in SQL.
• Experience interacting with various data warehouses and large-scale, complex datasets using ETL and BI tools and platforms.
• Self-motivated to identify and propose Client methodologies that will drive increased efficiency.
• Demonstrate expert knowledge in machine learning and rule-based systems as applied to computational linguistics and natural language processing, as well as development and execution of annotation tasks with teams of experts.
• Proficiency in Mathematics with the skill to translate complex Mathematical Algorithms into usable computational methods.
• Experience with data mining and analysis techniques across disparate data sources.
• Experience working in Linux / Unix environments.
• Experience interacting with PostgresSQL, Oracle, Impala Cloudera, Okera or similar databases.
• Experience with JupyterLabs, Anaconda, and RStudio.
• Experience developing visualizations using a variety of methods (Plotly, Matplotlib, Seaborn).
• Experience working within Domino Data Lab projects.
• Technical knowledge of performance tuning and query optimization across large data sets.
• Experience with data cataloguing and enablement through APIs.
• Experience with a variety of computer science languages (C++, Java, HTML / CSS).
• Exposure to bioprocess engineering / cell therapy data.
• Knowledge of GxP requirements (preferably related to Data and Code Management).
• Experience with Program / Project Management.
• Strong background and demonstrable experience in Natural Language Processing and Computational Linguistics.

Nice-to-haves

• Scrum experience.
• Familiar with NET / SAP.
• Knowledge of deep learning methods for NLP (quantitative area of study, Computer Science).
• Experience working with the Pharmaceutical Industry.
• Experience working with ERP systems.

Benefits

• 401k Retirement Savings Plan administered by Merrill Lynch
• Commuter Check Pretax Commuter Benefits
• Eligibility to purchase Medical, Dental & Vision Insurance through Eclaro