Infosys is seeking a Data Science Lead with strong background in designing and building machine learning models / algorithms to implement predictive & prescriptive analytical solutions in areas such as customer loyalty, personalization and recommendations, customer segmentation and profiling, Sales Calls, E-mail and Direct mail targeting, retention analysis, churn assessment etc.
The ideal candidate will be able to look at data from multiple sources and integrate data / inputs in a manner to build cause effect linkages to arrive at key issues.
Ideally the candidate uses understanding of the problem to arrive at multiple solution alternatives keeping in mind the various stakeholders and assess the pros and cons of all the alternatives to arrive at the optimal solution.
Required Qualification :
- Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
- At least 7 years of experience in Information Technology.
- Candidate must live within commuting distance of Montreal, Quebec or be willing to relocate. Travel within the US may be required.
- Canadian citizens and those authorized to work in Canada are encouraged to apply.
- Strong knowledge of AI and ML algorithms and hands-on experience in using tools like Azure ML or AWS SageMaker to implement and deploy the models.
- Hands-on experience in SQL and Tableau.
- Strong Statistical Modelling, Regression models (linear, lasso, ridge, and non-linear regression etc.), Time series modelling (ARIMA, fbprophet, ETS, etc.
and Machine learning.
- Proven and proficient in Object oriented programming in Python.
- Collaborate with business users to assess and elaborate Analytics Use cases.
- Perform Data Wrangling to prepare data for analysis.
- Perform Exploratory Data Analysis on customer data.
- Develop, Test, Deploy and Monitor ML Models.
- Work with other data scientists as a team to understand algorithms suggested and provide QA in algorithm choice from a business perspective.
Preferred Qualification :
- Hands-on experience in SAS / Python.
- Strong experience in Python data wrangling / analysis using Pandas, Numpy, Matplotlib, seaborn etc.
- Good understanding of version control tools like git & Experience building CI / CD pipelines.
- Familiarity with deep learning libraries like Tensorflow, Keras, pytorch.
- Understanding and awareness for Data science lifecycle.
- Excellent business communication and excellent relationship management ability and the ability to work across business units within a complex organization.
The job may entail extensive travel. The job may also entail sitting as well as working at a computer for extended periods of time.
Candidates should be able to effectively communicate by telephone, email, and face to face.#J-18808-Ljbffr