we are looking for extremely talented candidates, with in dept experience as DATA Scientist (R programming exp is must)
reg organization : The hiring company is hiring for their client 'Credit Suisse'
candidate will be working from Credit Suisse office in PUNE
Pls share the answers of the question listed in this job post.
Data Scientist - Financial Services
Position: Full Time
Location: Pune, India (from Credit Suisse office)
Compensation/Rate: Open and based on experience
mandatory - atlest 1 yr exp in entire career on R Progarmming, Data Scientitst
CTC - budget for this role is 30-45 lpa for the most suitable candidate (budget is flexible for this role)
max notice period - 30 days
full time role
Ideal Candidate
The ideal candidate will come with hands-on experience as a Data Scientist having a Data-oriented personality with a good scripting and programming skills. He/she should have hands-on expertise on data science toolkits, specifically in using R for statistical modeling and machine learning.
Hands-on expertise and exposure in R packages, Shiny for interactive Web applications & machine learning algorithms, model building, statistical modelling, predictive modelling environments. This person will have a proven track record of delivering successful technology solutions to business clients preferably in financial services.
Requirements
5-8 years of experience in R (preference), Python, or SAS for complex data manipulation, statistical analysis, and machine learning.
Experience with Forecasting, Time Series Analysis, statistical modeling, etc.
Experience translating high-level project requirements into technical tasks.
Data manipulation and data engineering experience involving structured and unstructured data.
Data manipulation expertise involving data extractions, data matching between multiple systems, transformations, cleansing, and loading.
Proficient in using Shiny to build interactive web apps straight using R.
Experience with big data and cloud platforms especially GCP.
Experience in developing predictive, prescriptive, optimization, and forecasting models.
Experience in interpreting results from statistical and mathematical models.
Experience in advance data visualizations and interpretation.
Experience with data visualization tools (e.g., Tableau, Bokeh, D3) or elastic stack (Kibana).
Experience with modern machine learning libraries, including Keras, TensorFlow, PyTorch, MXNet.
Natural Language Processing (NLP) experience a plus.
Collaborative and decisive with strong communication and interpersonal abilities.
Expertise in working with large and complex datasets to create dashboards and data visualizations
Strong analytics background: Hands on experiences in statistical modeling (e.g. regression model, test and control etc.), machine learning, etc.
Multitasker: Good project management and communication skills that can work multiple projects at same time using minimum guidance.
Responsibilities
Understand business requirements to translate business problems into analytics problems and construct analysis road-map based on the business context
Manage large volumes of structured and unstructured data, extract & clean data to make it amenable for analysis
Analyse big data using statistics, econometrics, mathematics, operations research, and text mining techniques
Develop good visualization to communicate business insights from analysis and make actionable recommendations
Help deploy analytics solutions and enable tracking of business outcomes to measure return on investment
Keep up with cutting edge analytics techniques and tools in the continuously evolving area of decision science
Present/Advise/Interpret/Justify on analytics solutions from a project to Client/Internal Stakeholder
please share the CV along with the answers of following questions
Experience with R Programming and statistical modelling ?
Hands on experience with Machine Learning using python libraries?
Experience with Deep Learning (Tensorflow, keras etc)
Real word experience with Machine Learning models in production ?
He/she has done projects in real production environment?
Any business solutions he/she has delivered ?
Has he/she Worked as individual contributor?
Experience with public cloud like GCP/AWS/ azure for Machine Learning Service ?
Experience in financial service domain preferred.
current ctc
current location
expected ctc
notice period
Best Regards,
Uma SW+91 98 22 780 197
***@st********r.com I www.starlighthr.com
Keyskills: R Programming Data Scientist