Data Scientist Statistics and Machine Learning

Data Scientist Statistics and Machine Learning Location: Indianapolis, IN Duration: 12Months+ Extension Hourly Rate: Depending on Experience (DOE) Work Authorization: Promoting the application and adoption of statistical analysis, machine learning modeling and data science capabilities for Bioengineering and Bioprocessing R&D through strong technical and interpersonal abilities Partnering with leading R&D scientists to advance discovery, characterization, development, and manufacture of natural products through data science Providing statistical and machine learning expertise, and collaborate with scientists to improve hypothesis formulation, experimental design, data collection, modeling, process design and interpretation of complex datasets to enable data-driven decisions Developing and deploying end-to-end data engineering and data science pipelines at scale for users with diverse backgrounds in chemical and biological disciplines Qualifications :

Extensive experience with big data engineering, descriptive statistics, dimensionality reduction, predictive modelling and validation (mixed-models, non-linear regression, principal components, cross-validation techniques, etc.) Knowledge of simulation techniques and optimization methods with multiple constraints Understanding of high-performance machine learning algorithms (decision trees, neural networks, SVM etc.). Solid expertise in a scientific programming language (e.g. R, Python) preferably in a HPC or Cloud environment. Written and verbal communication skills and the ability to successfully collaborate and lead projects with colleagues from diverse technical backgrounds Critical thinking and strong problem-solving skills DIGITAL TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. DIGITAL TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will DIGITAL TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract #J-18808-Ljbffr