Internship
We are growing rapidly ๐ and are expanding our team.
- Applying Dynamic Time Warping to boost lead generation.
- Applying Markov Chain to effectively measure attribution.
- Proving effectiveness of Marketing campaigns via counterfactuals and causal inference.
- Applying Marketing Mix Model (MMM) to yield better Marketing ROI for companies.
- Applying NLP techniques to discern customer feedback thereby helping Brands improve their Brand Equity
- Applying Time Series techniques to better manage inventory and supply chain.
- Applying Game theory + MMM to preempt a competitorsโ marketing move.
โ๏ธ This is what a day at Aryma Labs looks like.
We do some pretty exciting stuff. ๐ฅ
We apply Data Science techniques innovatively to solve business problems.
Does the above excite you??
If you strictly meet the following criteria, pls click on โApply Nowโ.
๐๐ซ๐ข๐ญ๐๐ซ๐ข๐
Bachelors / Masters degree in Statistics/Mathematics/Econometrics/Operations research. ยท IIT/NIT/IISC candidates with prior Stats/Maths course work may also apply.
Business Analytics students who would like to become hands-on data scientists may also apply.
The candidate should not be pursuing any other internship currently
Candidate who are in their last semester, penultimate semester or have completed graduation will be preferred
Candidate with relevant work exp (1-2 yrs) may also apply (provided they are not currently working full time or part time with any other firm)
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- Strong knowledge of statistical and Machine Learning concept.
- Strong knowledge of Hypothesis testing and Design of Experiments (DOE)
- Knowledge of Frequentist & Bayesian modeling techniques.
- Good knowledge of Regression Modeling (LM, GLMs, Mixed Effect models, Panel Regression etc.)
- Good knowledge of Time Series Forecasting Principles
- Experience in MS office (Excel and PowerPoint specifically)
- Programming languages: R or Python
- R libraries โ dplyr, ggplot2, caret, lubridate, mlr, kernlab
- Python libraries โ pandas, scikit-learn, numpy, scipy, statsmodels
- Experience with SQL, AWS is a plus.
๐๐ก๐๐ญ ๐ฐ๐ข๐ฅ๐ฅ ๐ฒ๐จ๐ฎ ๐ฐ๐จ๐ซ๐ค ๐จ๐ง?
- You will learn to apply statistical and ML techniques to real business problems in domains such as Marketing Analytics, Finance and Manufacturing.
- You will be doing interesting R&D on Statistical Techniques, Machine Learning algorithms and Time series forecasting algorithms.
- You will help develop innovative data science products.
In-office + WFH options
3 months
This is a paid Internship.
