DATA SCIENTIST- (4 positions )

Job Responsibility

Job Purpose: We are looking for DATA SCIENTIST with 5-8 yrs of experience as a Statistician / Predictive Analyst /Data Scientist with experience in strategic and predictive analytics in banking, finance, and retail using Python, SAS, R and SPSS. Should have a strong background in statistical analysis such as Distribution analysis, Analysis of Variance, Correlation, Hypothesis Testing, Multivariate Analysis and Time series. Strong experience in mathematical and statistical analyses, machine learning, statistical modeling, and data visualization. (linear, classification, cluster, factor, anova, econometric modeling, forecasting technique , ARIMA modeling , optimization , deep learning , etc.)

Responsibilities:

1)Identify valuable data sources and automate collection processes

2)Undertake preprocessing of structured and unstructured data

3)Analyze large amounts of information to discover trends and patterns

4)Build predictive models and machine-learning algorithms

5)Combine models through ensemble modeling

6) Present information using data visualization techniques

7)Propose solutions and strategies to business challenges

8) Collaborate with engineering and product development teams

Requisite Skills:

1)Experience with Python, Pandas, Matplotlib & Seaborn, SkLearn, Keras, Tensorflow, NLTK, Prophet, PySpark and MLLib.

2)Experience working with large data sets and extracting from structured or unstructured datasets by using Hive and Python

3)Good knowledge on cloud technologies Azure ML Studio and AWS stagemaker.

4)Expertise in performing analytics on Big Data using MapReduce, Spark, and Hive Technical Skills: Data Mining: SAS, Python- Pandas, Numpy, Seaborn, Scikit-learn, multiprocessing.R – parallel, dplyr, and mice. Machine Learning: Logistic Regression, Naive Bayes, Decision Tree, Ensemble Technique (Random Forest, Ada boosting, Gradient boosting), SVM and KNN. Deep Learning: Natural Language processing (NLP), Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN) Databases : Hadoop, Oracle, MYSQL and HIVE Statistics: Regression, Confidential Intervals, Bayesian, Monto Carlo methods, Forecasting, Factor Analysis, Cluster Analysis, NLP and ANOVA.

Specialization : Actuarial Science and Forecasting models

Mandatory: • Good knowledge on cloud technologies Azure ML Studio and AWS stagemaker.

Qualification

Master’s/PhD in Statistics