We are hiring for the role of Analytics Associate/Sr. Analytics Associate (Statistician) for our Gurgaon office.
Job Responsibilities for Sr. Analytics Associate:
- Apply statistical methods to answer business and engineering questions while handling large datasets.
- Use statistics and predictive modeling to collect, explore, and identify the right data to be analyzed from multiple sources, then construct algorithms to explain or predict behavior and solve a variety of business and engineering problems.
- Design and implement statistical experiments to maximize site performance and profit as well as minimize and manage risk of revenue loss.
- Extract and transform data from existing data stores and perform ad-hoc statistical analyses.
- Build predictive models using data, test the model on results outside of the sample size and verify the validity of model in real business situations.
- Creating automated anomaly detection systems and constant tracking of its performance.
- Assist managers with finding patterns and relationships in data.
- Develop bidding and optimization algorithms to maximize the efficiency of our marketing strategies.
Requirements:
- Bachelor/Master's degree in Engineering, Applied Maths, Statistics or other quantitative fields. (must be from TIER-1 and TIER-2 colleges like IIT/NIT/BITS/DSE)
- Highly Proficient in R . Exposure to other platforms like Python/SAS is a plus.
- 2-4 years of work experience involving quantitative data analysis in the statistics/analytics field. Good to have Digital Marketing/e-Commerce domain experience.
- Proficiency in using query languages such as SQL, Hive.
- Good exposure towards machine learning algorithms & statistical methods
- Experimental design
- Analysis of variance / Regression
- Logistic regression
- Clustering - Hierarchial/Kmeans
- Principal Component Analysis
- Non-parametric statistics
- Classification algorithms - SVM/Random Forest
- Time-series analysis.
- Experience with data visualization tools & Packages.
- Ability to explain results and statistical concepts to both technical and non-technical audience.
Job Location- Gurgaon
Salary- Open for right candidate
Shift Timings:- 7:30 am-4:30 pm (Monday to Friday)
- Free cab facility available(pick and drop facility)
- Free breakfast
Tanya Kohli
Human Resource Department
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