Data Scientist

2 weeks ago


Bengaluru Karnataka, India Teleflex Full time

**Date**:6 Mar 2024

**Location**: Bengaluru, KA, IN

**Company**:Teleflex

**Position Summary**

**Principal Responsibilities**
- Develop simulations and scenario models with qualitative and quantitative inputs.
- Work with the internal ‘continuous improvement lead’, ‘automation and excellence lead’ to adapt processes to new ways of working post implementation of analytics recommendation
- Will develop predictive and prescriptive capabilities along with a strong idea of cognitive techniques, their use cases and opportunities to implement them
- Work to establish a connection with publicly available data sources as a basis of multivariate analysis. Identify lead and lag indicators and establish relationship between indicators and derivatives
- Develop production-ready implementations of proposed solutions across different ML algorithms, including testing on live customer data to improve efficacy, and robustness
- Create use cases with respect to domain for solving a business problem
- Suggest innovative and creative concepts and ideas that would improve the overall platform
- Large-scale data gathering, cleansing, and organization from multiple sources
- Utilizing data visualization techniques where necessary to clearly and concisely provide findings and insights to stakeholders
- Handling both structured and unstructured data in preprocessing. Setting up models for data cleansing, segmentation
- Identify opportunities within supply chain through proactively looking at various data (sales, inventory, spends etc) and use data models to interpret data and provide solutions
- Providing approaches and techniques for dealing with corporate challenges
- Keeping abreast of the most recent developments in data science and adopting new methods as necessary in your work

**Education / Experience Requirements**
- Mandatory course from Computer Science and Automation (CSA)/ Electrical Communication Engineering (ECE)/ Electronic Systems Engineering (ESE)
- Minimum 5 years of relevant experience is mandatory
- Strong communication skills.
- Strong in MS office skills (Excel, MIS report preparation, MS Office).
- Good understanding of business, Strong Analytical Skills, and attention to detail/Quality

**Specialized Skills / Other Requirements**
- Legitimate experience as a Data Scientist or Data Analyst
- Data mining expertise Knowledge of operations research and machine learning
- Strong data modelling skills
- R, SQL, or Python expertise is required. Also, have the ability to derive POC using Excel/ Access and replicate and scale up the models using complex tools like Python
- Data visualization and simplicity of presentation is a major requirement
- Knowledge of data frameworks and business intelligence tools, such as Power BI
- Mind for analysis and business sense
- Good math abilities (ex: statistics, algebra, probability). Strong understanding on various data models (Holt-Winters, ARIMA, Regression, XG Boost, Prophet etc)
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
- Capable of problem-solving
- Strong presentation and communication abilities
- An advanced degree in data science or another quantitative discipline is desired
- Excellent presentation/ Powerpoint skills
- Strong verbal and written communication


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