Senior Data Scientist

Job Description

Roles and responsibilities About Medline: Medline is Americas largest privately held national manufacturer and distributor of health care supplies and services. Today , Medline manufactures and distributes more than 550 , 000 medical products , encompassing medical - surgical items and one of the largest textile lines in the industry. With seven manufacturing facilities in North America and over 43 joint venture manufacturing plants worldwide , along with 47 distribution centers , Medline posted $10.3 billion revenue last year. Why join Medline: A direct , full - time employment in a large , stable , rapidly growing and yet profitable company. Privately owned company with no public debts. No ill effects of recent downturn / recession. First - rate compensation and benefits package. Genuine individual growth potential in this new establishment. Open door and highly ethical work culture , with due accountability. Location: Pune Required skills: As a Senior Data Scientist , you ll be a part of Medline s large Analytics group , as a member of the new Machine and Deep Learning practice. You ll work actively with an onshore team in Northfield , Illinois , and will report directly to an onshore analytics manager. You ll work actively with a team of ML Engineers , Data Engineers and business managers , and will help create sophisticated machine and deep learning products with multi - million - dollar impact to the bottom line. You will own data modeling efforts in this team. By way of experience , you have worked in advanced machine and deep learning for at least 3 years , in research setting at a reputable institution or for a large corporation. You have led at least 2 projects in the past , not as a manager or consultant but as the core data scientist. Though modeling is your primary strength and area of responsibility , you have a basic understanding of big data architecture and full stack development through collaborations as a Data Scientist. You are driven to solidly deliver on the promise of machine and deep learning - by creating high impact solutions improving businesses at a fundamental level. MS or PhD. in Applied Mathematics , Physics , Computer Science , Statistics or related technical field , from IISc Bangalore , IIT , IIIT , ISI Kolkata , or a similar reputable school 5 years of hands - on experience in data mining and predictive analytics with machine learning / statistical modeling techniques. Experience with data science tools like Matlab , RapidMiner , AzureML , Java - Weka , R and Python 3 years of advanced machine and deep learning experience. Intimate knowledge of foundational frameworks like Scikit - learn , Tensorflow , XGBoost , Keras , NumPy , SciPy , Pandas , PyTorch , NLTK , MXNet , Caffe , and visualization and scraping frameworks Knowledge of UNIX or Linux environments Desired Skills: At least one research paper presented in a reputable conference , or should have won a Kaggle contest or a similar hackathon Experience in Azure or similar cloud environment - ML Studio / Workbench for modeling , MLVM and DLVM for training and hosting , and containers for hosting Basic working knowledge of NoSQL databases , Apache Spark , Hadoop Basic working knowledge of backend framework like Django and front end framework like Angular Responsibilities: Modeling - Own data ingestion and preparation , feature engineering , analysis and modeling , model deployment , performance tracking , and documentation Modeling - Use advanced machine learning and deep learning techniques , on structured and unstructured , text and images based data. Use python as the first language. Modeling - Leverage non - programmatic machine and deep learning where needed - auto ML / DL , self - service / semi self - service platforms Pre - Modeling - Guide Data Engineers to help create complex datasets per specs needed for modeling - audit preliminary datasets Post Modeling - Collaborate with Machine Learning Engineer closely to productize models - deployment of models as web services , APIs or native class as needed Continuous Learning - Stay updated and educated with Deep Learning , NLP , information retrieval research and applications , and share expertise with the team Continuous Learning - Learn new / beta frameworks on the job as needed (e.g. LIME) Communicate complex algorithmic solutions to a business audience ,

Keyskills :
algorithms analytics sql atascience deeplearning continuousimprovementfacilitation frontend oracledba coredata datamining machinelearning apachespark bigdata computerscie webservices datamodeling