Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Job Description

We are looking for a data scientist in the PayU data science team who will be primarily responsible for modeling complex problems, discovering insights, and identifying opportunities through the use of statistical, algorithmic, mining, and visualization techniques. Your primary focus will be to propose innovative ways to utilize online payments data and analytics to solve business problems by applying data mining techniques, doing statistical analysis, validating your findings using an experimental and iterative approach, and building high-quality prediction systems integrated with our services. You will need strong business understanding, analytical and problem-solving skills, and programming knowledge.

Responsibilities

• Design experiments, test hypotheses, and build models utilizing the traditional datasets and graph data.
• Apply advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems.
• Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as geo-location or social media.
• Utilize patterns and variations in the volume, speed and other characteristics of data for predictive analysis.
• Extending company’s data with third party sources of information when needed
• Creating automated anomaly detection systems and constant tracking of its performance
• Collaborate with various stakeholders (e.g. tech, product) to understand and design best solutions which can be implemented

Skills and Qualifications

• Bachelors in engineering, mathematics, statistics , economics or a related field.
• 2+ years of work experience as a Data scientist preferably in a fintech environment
• Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
• Proficient in machine learning (SVM, GLM, boosting, random forest) and deep neural networks
• Strong programming skills (Spark or other big data frameworks, R, Python), statistical modeling (R, Python, SAS), query languages such as SQL
• Familiarity with basic principles of distributed computing and distributed databases.
• Working on Big Data to develop analytical solutions
• Enable machine learning algorithms on graph databases
• Working on cutting-edge techniques e.g. machine learning and deep learning models
• Guide and enable junior team members
• Collaborate with various stakeholders (e.g. tech, product) to understand and design best solutions which can be implemented

Add-on Skills :

• Experience in working with big data
• Solid coding practices
• Passion for building new tools/algorithms
• Experience in developing Machine Learning models

Behavioral Skills:

• Team Player
• Perseverance
• Knowledge sharing skills
• Energetic & Positive attitude
• Go getter instinct

So what do we offer?

• Opportunity to work on exceptional projects using cutting edge technology in big data

  environment

• A Competitive salary, including benefits
• Modern offices with individual working spaces
• Awesome teams that love finding ways of making things better, faster, stronger

Interesting growth prospects

What are we looking for

• Someone who takes ownership and believes in seeing through tasks to its completion despite facing any challenge.
• Someone who can work both independently and in collaboration with the team as and when the situation demands for it.
• Someone who is not averse to learning and growth and has an open mind about inputs/suggestions from any stakeholder.
• Bonus point if you have:
• Experience in the Fintech domain and/ or B2C product experience 
• An engineering degree in Computer Science (or) software development experience 
• Worked on products with a massive user scale - 1 Mn+ DAUs especially 

What we offer

• A positive, get-things-done workplace
• A dynamic, constantly evolving space (change is par for the course – important you are comfortable with this)
• An inclusive environment that ensures we listen to a diverse range of voices when making decisions.
• Ability to learn cutting edge concepts and innovation in an agile start-up environment with a global scale
• Access to 5000+ training courses accessible anytime/anywhere to support your growth and development (Corporate with top learning partners like Harvard, Coursera, Udacity)