Data Analytics & Simulation Professional
Company Name:-
Siemens Healthcare Private Limited
Job Location:-
Bengaluru, Karnataka
Job Summary:-
Data Analytics & Simulation Professional
The Data Analytics Team within Siemens Healthineers is looking for data scientists with a background in machine learning (ML) and deep learning (DL) technologies to help design and build innovative AI solutions and products for the SPECT/PET scanners.
The successful candidate will be part of a team, building cutting-edge AI solutions that rely on AI and ML techniques including but not limited to computer vision, deep learning, natural language processing, and machine learning.
ResponsibilitiesBridge industry and research, keeping the team focused on high-value problems at the cutting edge of emerging trends.
Ability to communicate complex black-box models to cross-functional stakeholders.
Be very strong in algorithms, data structures, problem-solving, building to scale by leveraging cloud computing.
High sense of ownership.
Technical Skills
Statistical SkillsDeep machine learning models, using a deep graph with multiple processing layers & composed of multiple linear and non-linear models/techniques.
Implemented advanced techniques for outlier and anomaly detection including applications of clustering & learned rules.
Advanced knowledge of machine learning algorithms, practical experience of parameter and performance tuning, Dimensionality Reduction, High Dimensionality Modelling, Ensembling, Feature Engineering.
Data SkillsData Extraction from EDW/Big Data Platform, Dataset Preparation (creation of base data, aggregation, transformation), performing EDA.
Strong skills for data wrangling / analysis / visualization / modeling.
Good Logical / Analytical / Quantitative /Reasoning skills.
Desire to learn new tools & techniques and follow the latest thinking globally in academia and the business world.
Tools & TechnologiesStrong understanding of SQL language for data management.
Exposure to Power BI, Tableau, Graph DB, Mongo DB and AWS is an added advantage.
Knowledge of R or Python Libraries – Scipy, Numpy, Pandas, IPython, Scikit-learn.
Basic QualificationsBachelors, Masters, or Ph.
D.
degree in computer science, engineering, statistics, or related technical/scientific field.
5+ years of professional experience in a business environment.
3+ years of relevant experience in building large
FOR MORE DETAILS CLICK BELOW LINK
