Job Description

Job Id: Aeries/475/24-25
Experience Range 2 - 6 Years
Qualification Graduate/ Post Graduate

About Us

Aeries Technology is a Nasdaq listed global professional services and consulting partner, headquartered in Mumbai, India, with centers in the USA, Mexico, Singapore, and Dubai. We provide mid-size technology companies with the right mix of deep vertical specialty, functional expertise, and the right systems & solutions to scale, optimize and transform their business operations with unique customized engagement models. Aeries is Great Place to Work certified by GPTW India, reflecting our commitment to fostering a positive and inclusive workplace culture for our employees. Read about us at https://aeriestechnology.com


About Business Unit

Corporate BU


Roles and Responsibility

Position/Title: Data Scientist


Department: Aeries Research & Innovation


Employment type: Full-time


Location: Bangalore, Mumbai, Hyderabad


Qualification: Graduate/PH. D


Shifts (if any): Candidate should be flexible to work as per business requirement.


Experience: 2 to 10 years



About Aeries:


Aeries Technology is a Nasdaq listed (AERT) global professional services and consulting partner, with offices in the USA, India, Mexico, Singapore, and UAE. We provide Private Equities, its Portfolio Companies and mid-market companies with the right mix of deep vertical specialty, functional expertise, and the right systems & solutions to scale, optimize and transform their business operations with unique customized engagement models. Aeries is Great Place to Work certified by GPTW Institute, reflecting our commitment to fostering a positive and inclusive workplace culture for our employees.



For more information, log on to http://www.aeriestechnology.com



Role & responsibilities:

• This position is responsible for evaluating, supporting, and developing BI/ Analytics/ ML solutions through consulting and partnering with internal and external cross-functional teams to drive new business initiatives and deliver value-added propositions. The role entails data extraction, segmentation and statistical analysis of datasets across Industry verticals using languages such as Python, SQL, Hive, Spark etc. on both Cloud and On-Prem. The candidate is required to identify strategies and opportunities for analytic Products and Services and as well deliver recommendations in presentations to internal and external executive audience.
• The ideal candidate should have strong experience in deep analytics, data mining, data visualization, knowledge of statistical techniques and machine learning. Excellent fundamentals and hands on experience with Time Series Analysis, Deep Learning, Optimization/Operations research, Decision Sciences etc. Strong understanding and experience implementing and solution architecting Predictive and Analytical Modelling techniques, practices, and technologies. Domain experience in FinTech, Supply Chain, Sales & Marketing, HR, Legal etc.


Essentials:

• 2 to 10 years of professional experience in a technical role in the areas of Data Science, Deep Analytics, Supervised & unsupervised Machine Learning, Large Language Models (LLM) & Gen AI.
• Experience using analysis tools, defining, and implementing intelligent solutions on data
• Experience with RDBMS as well as NoSQL databases, such as MongoDB, Cassandra etc.
• Skilled working with large data sets, using tools and languages such as SQL, Hive, Python, R, NumPy, MATLAB, Power BI etc.
• Proficiency in statistics/ML tools and algorithms such as RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Bachelors/Master's degree with relevant coursework toward Data Science, Statistics, Machine Learning, and equivalent work experience
• Excellent Communication, great Customer presentation and Business engagement skills.
• Very good interpersonal skills; must be adept at cross-group collaboration

•The Job responsibilities of the candidate shall include but not limited to the & to perform any other tasks/functions as required by the Company.•




Recruiter Name Tina Fernandes


Recruiter Email Id tina.fernandes@aeriestechnology.com