Data Scientist/Data Engineer - IT

JOB DESCRIPTION-DATA SCIENTIST

Designation: DATA SCIENTIST

Job Location: Indore

Department: IT Duration: Permanent

Direct Reporting To: IT MANAGER

Address : Securities Ltd, Co. at Old Palasia, Indore

Job Purpose:

- We are looking for DATA SCIENTIST who must have an experience of work as 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: Selected Candidate's job responsibilities (include, But Not Limited To The Following) :

- Identify valuable data sources and automate collection processes

- Undertake preprocessing of structured and unstructured data

- Analyze large amounts of information to discover trends and patterns

- Build predictive models and machine-learning algorithms

- Combine models through ensemble modeling

- Present information using data visualization techniques

- Propose solutions and strategies to business challenges

- Collaborate with engineering and product development teams

Requisite Skills:

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

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

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

- 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

Education: PG / PHD in Maths/ Computer Science/Numerical Analysis/Statistics

Gender: Male/Female Timings: 09:30 Am to 06:30 pm

Experience: 5-8 yrs Mandatory: - Good knowledge on cloud technologies Azure ML Studio and AWS stagemaker.

Qualification: Post Graduation / PhD preferably in Statistics/CS Emoluments No bar for the right candidate