Petras solutions

What you’ll do?

Partnering with internal business owners (product, marketing, edit, etc.) to understand needs anddevelop custom analysis to optimize for user engagement and retention.

Good understanding of the underlying business and workings of cross functional teams for successful execution.

Design and develop analyses based on business requirement needs and challenges.

Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, etc.

Providing statistical analysis on custom research projects and consult on A/B testing and otherstatistical analysis as needed.

Other reports and custom analysis as required.

Identify and use appropriate investigative and analytical technologies to interpret and verify results.

Apply and learn a wide variety of tools and languages to achieve results.

Use best practices to develop statistical and/ or machine learning techniques to build models thataddress business needs.

Collaborate with the team in order to improve the effectiveness of business decisions throughthe use of data and machine learning/predictive modeling.

Innovate on projects by using new modeling techniques or tools.

Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept. C

ommunicate findings to team and leadership to ensure models are well understood and incorporated into business processes.

Who you need to be?

Typically has 2 - 6 years of relevant experience.

Preferred education: Bachelor's degree in a technical field or equivalent experience Experience in advanced analytics, model building, statistical modeling, optimization, and machinelearning algorithms.

Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, XGBoost, Recommender Systems, ARIMA and Anomaly Detection.

Feature selection, hyper parameters tuning, model selection and error analysis, boosting and ensemble methods.

Strong with programming languages like Python and data processing using SQL or equivalent andability to experiment with newer open-source tools.

Experience in normalizing data to ensure it is homogeneous and consistently formatted to enablesorting, query and analysis.

Experience designing, developing, implementing and maintaining a database and programs tomanage data analysis efforts.

Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)

Experience in risk and credit score domains preferred.

Job location  Chennai/Bangalore (work from office-Hybrid)

8+ years of experience in brand design, marketing design, or creative direction.

Strong portfolio showcasing branding, marketing campaigns, and motion/video work.

Proficiency in Adobe Creative Suite (Photoshop, Illustrator, After Effects, Premiere Pro) and Canva.

Strong understanding of visual storytelling, layout, hierarchy, and brand systems.

Ability to manage multiple projects in a fast-paced environment. Experience mentoring designers or collaborating with creative teams.

AI fluency and prompt engineering skills are highly valued.

High advantage if you have hands-on experience in handling Nana Banana 2/Midjourney v7/ GPT image 1.5 UX knowledge is a plus

Required Qualifications:

• OOPS - In-depth understanding of Object Oriented Programming principles

• Solid - In-depth knowledge and practical knowledge of applying SOLID design principles

• Architectural Patterns - In-depth understanding of design patterns and have experience in designing and building complex architecture solutions

• React + Typescript - Extensive hands-on experience in React + Typescript, building high-performance complex frontends

• Unit testing - Ability to write Unit Testing using Jest framework

• Dotnet core webapi - Extensive hands-on experience in writing WebAPIs using dotnet core. Should have advanced knowledge on middlewares, auth flow, etc.

• C# - Solid knowledge on advanced C# language features like Lambda functions, Generics, etc.

• Entity Framework - Solid knowledge on Entity framework database first and code first approach

• Unit testing - Ability to write Unit Testing using popular mock frameworks and XUnit framework

• SQL - Advanced - Extensive hands-on experience in Microsoft SQL (DDL, DML, Aggregates, Functions, Stored proc, etc)

• Query Performance Tuning - Ability to understand query plans and tune compelx queries to improve performance

• Core services - Advanced knowledge and hands-on in building applications hosted in AWS using ECS containers, API Gateway, Lambda, Postgres/DynamoDb

• IAC - Hands-on experience in writing Teraform Scripting - CI/CD, Github pipelines