6.0 - 10.0 years

0 Lacs

karnataka

On-site

As a Data Scientist at mPokket, you will be an integral part of our rapidly growing fintech startup in the lending domain. We specialize in offering micro loans to college students and young professionals through our mobile app, with over 11 million loans disbursed. As a profitable organization backed by a US based private equity firm, we are now poised to scale our business 10x-20x in the upcoming years. If you are an ambitious individual with a passion for working with raw data to derive meaningful insights, we invite you to join us on this incredible journey. Your primary responsibility will be to collaborate with the data science team to plan and execute projects aimed at building advanced analytics models. You should possess a strong problem-solving ability, a flair for statistical analysis, and the capability to align data products with our business objectives. By leveraging data effectively, your role will contribute towards enhancing our products and driving informed business decisions. Key Responsibilities: - Supervise the data scientists team and data specialists to ensure seamless project execution - Mentor and guide colleagues on innovative techniques and solutions - Work closely with data and software engineers to implement scalable technologies across the organizational ecosystem - Conceptualize, plan, and prioritize data projects in alignment with business goals - Develop analytic systems, predictive models, and explore new methodologies to enhance performance - Ensure that all data projects are in sync with the overall organizational objectives Minimum Qualifications: - Master's degree in Computer Science, Operations Research, Econometrics, Statistics, or a related technical field - Over 6 years of experience in solving analytical problems using quantitative approaches - Proficient in communicating quantitative analysis results effectively - Familiarity with relational databases, SQL, and scripting languages like Python, PHP, or Perl - Knowledge of statistics including hypothesis testing and regressions - Experience in manipulating data sets using statistical software like R, SAS, or other similar tools Technical Skills: Must have: - Programming: Python (Preferred) / R - ML Models: Regression (Linear, Logistic, Multinomial, Mixed effect), Classification (Random Forest, Decision tree, SVM), Clustering (K-Means, hierarchical, DB-Scan), Time series (ARIMA, SARIMA, ARIMAX, Holt-Winters, Multi TS, UCM), Neural Networks, Naive Bayes - Excel and SQL - Dimensionality Reduction: PCA, SVD, etc. - Optimization Techniques: Linear programming, Gradient Descent, Genetic Algorithm - Cloud: Understanding of Azure / AWS offerings, Setting up ML pipeline on cloud Good to have: - Visualization: Tableau, Power BI, Looker, QlikView - Data management: HDFS, Spark, Advanced Excel - Agile Tools: Azure DevOps, JIRA - Pyspark - Big Data/Hive Database - IDE: Pycharm,

Posted 2 days ago

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Data Science Manager mPokket

6.0 - 10.0 years

0 Lacs

karnataka

On-site

As a Data Scientist at mPokket, you will play a crucial role in deriving valuable insights from raw data to drive business decisions and improve our products. You will collaborate with the data science team, plan projects, and develop analytics models. Your problem-solving skills and expertise in statistical analysis will be key in aligning our data products with our business objectives. Your responsibilities will include overseeing the data scientists team, guiding colleagues on new techniques, and working closely with data and software engineers to deploy scalable technologies. You will lead the conception, planning, and prioritization of data projects, build analytic systems and predictive models, and explore new techniques to enhance our data capabilities. Ensuring that data projects are in line with our organizational goals will be a critical aspect of your role. The minimum qualifications for this position include a Master's degree in Computer Science, Operations Research, Econometrics, Statistics, or a related technical field, along with at least 6 years of experience in solving analytical problems using quantitative approaches. Proficiency in communicating quantitative analysis results, knowledge of relational databases, SQL, and development experience in scripting languages such as Python, PHP, or Perl are required. You should also have expertise in statistics, experience with statistical software like R or SAS, and a strong technical skill set. Key Technical Skills Required: - Programming: Python (Preferred) / R - ML Models: Regression (Linear, Logistic, Multinomial, Mixed effect), Classification (Bagging & Boosting, Decision tree, SVM), Clustering (K-Means, hierarchical, DB-Scan), Time series (ARIMA, SARIMA, ARIMAX, Holt-Winters, Multi TS, UCM), Neural Networks, Naive Bayes - Excel and SQL - Dimensionality Reduction: PCA, SVD, etc. - Optimization Techniques: Linear programming, Gradient Descent, Genetic Algorithm - Cloud: Understanding of Azure / AWS offerings, Setting up ML pipeline on the cloud Additional Skills (Good to have): - Visualization: Tableau, Power BI, Looker, QlikView - Data Management: HDFS, Spark, Advanced Excel - Agile Tools: Azure DevOps, JIRA - Pyspark - Big Data/Hive Database - IDE: Pycharm If you are a proactive and talented individual with a passion for data science and a desire to contribute to a rapidly growing fintech startup, we would love to have you join us on this exciting journey at mPokket.,

Posted 4 days ago

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