Data Scientist Image Processing @ Alphacom Systems

Job Description

Job title: Data Scientist Your role: Develop new technologies in the areas of machine learning, predictive modeling, simulation, and outcome management. Conduct research, design, develop and evaluate first-of-kind smart solutions to provide real time workflow enhancements, diagnosis and decision support applications. Work with product management to develop data use cases and embed predictive models in workflows on resource constrained platforms and cloud enabled solutions. Selecting features, building and optimizing classifiers using machine learning and deep learning techniques Processing, cleansing, and verifying the integrity of data used for analysis Develop processes and tools to monitor and analyze model performance and data accuracy. Life cycle management of predictive models. Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. Managing and designing. the reporting environment, including data sources security, and metadata. Collaborate cross-functional stakeholders to deliver innovations in a timely and high-quality manner. You're the right fit if: (4 x bullets max) Bachelors or Masters degree in Computer Science, Information management, Statistics or related field with 10+ years of experience. 5+ years of experience in Healthcare industry is desired, manipulating data sets and building predictive models with focus on product development Experience in statistical modelling, machine learning, data mining, unstructured data analytics and natural language processing. Sound understanding of - Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, Nonparametric Methods, Multivariate Statistics, etc. Strong hands on knowledge of ML techniques like regression algorithms, K-NN, Nave Bayes, SVM and ensemble techniques like Random forest, AdaBoost etc Having strong knowledge in unsupervised learning algorithms using Neural networks and Deep-Learning Strong knowledge in Data Wrangling and Exploration techniques to identify the patterns, trends and outliners. Deep knowledge and practical experience with data science toolkits, such as NumPy, Pandas, scikit-learn or equivalent Experience with data visualization tools, such as QlikView, Matplotlib, seaborn or equivalent tools. Proficiency in using query languages, such as SQL, PL/SQL Hands on experience in the one or more databases like Hadoop, AWS Redshift, Snowflake etc. is desired. Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good ETL scripting and programming skills, such as Python, R or Scala to integrate developed solution into the proposition. A team player capable of working and integrating across cross-functional team for implementing project requirements. Experience in technical requirements gathering and documentation. Ability to work effectively and independently in a fast-paced global collaborative agile team environment with tight deadlines A flexible, pragmatic and collaborative team player with innate ability to engage with stakeholders at all levels in the organization. A self-starter with high levels of drive, energy, resilience and a desire for professional excellence with a passion for data and data science Your skills include data modeling, analytics and visualization, machine learning and deep learning, Python data science pipeline (pandas, sklearn, NumPy, SciPy, TensorFlow, PyTorch), algorithm design and implementation. Excellent communicator, both oral and written. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. Learn more about our business. Discover our rich and exciting history. Learn more about our purpose. If youre interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion here. #LI-EU #LI-Hybrid

Employement Category:

Employement Type: Full time
Industry: Consumer Durables / Electronics
Role Category: General / Other SoftwareDBA / Datawarehousing
Functional Area: Not Applicable
Role/Responsibilies: Data Scientist Image Processing

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Keyskills:   machine learning predictive modeling simulation outcome management data mining natural language processing Cluster Analysis Multivariate Statistics SVM Neural networks Data Wrangling NumPy QlikView Matplotlib SQL PLSQL databases Hadoop Snowflake Python R Scala technical requirements gathering data modeling NumPy SciPy communication skills statistical modelling unstructured data analytics Bayesian Modelling Classification Models Neural Network Nonparametric Methods regression algorithms KNN Nave Bayes Random forest AdaBoost unsupervised learning algorithms DeepLearning Exploration techniques data science toolkits Pandas scikitlearn data visualization tools seaborn query languages AWS Redshift applied statistics skills ETL scripting programming skills analytics visualization Python data science pipeline pandas sklearn TensorFlow PyTorch algorithm design implementation