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Job Description – Data Scientist (Machine Learning & Forecasting)

About the Role

We are looking for a highly skilled Data Scientist with strong expertise in Machine Learning, Traditional Statistical Modelling, Forecasting, and Predictive Analytics. The ideal candidate will have hands-on experience building and deploying end-to-end ML solutions, working with large datasets, and translating business problems into scalable data science solutions.

The role requires a strong foundation in statistics, predictive modelling, feature engineering, model evaluation, and time-series forecasting, along with the ability to collaborate with cross-functional teams to deliver business impact.

Key Responsibilities

• Design, develop, and deploy Machine Learning models for business-critical use cases.
• Build and optimize traditional ML models such as:
• Linear Regression
• Logistic Regression
• Decision Trees
• Random Forest
• Gradient Boosting (XGBoost, LightGBM, CatBoost)
• Support Vector Machines
• Clustering Algorithms
• Develop forecasting solutions using:
• ARIMA / SARIMA
• Prophet
• Exponential Smoothing
• Time-Series Regression Models
• Perform exploratory data analysis (EDA), feature engineering, and data validation.
• Evaluate model performance using appropriate statistical and business metrics.
• Work with structured and semi-structured datasets from multiple sources.
• Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
• Build scalable data pipelines and support model deployment in production environments.
• Monitor model performance, identify data drift, and implement model retraining strategies.
• Present insights and recommendations to technical and non-technical stakeholders.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related quantitative field.
• 5+ years of hands-on experience in Data Science, Machine Learning, and Forecasting.

Technical Skills

   Machine Learning

• Strong understanding of supervised and unsupervised learning algorithms.
• Experience with ensemble methods and advanced ML techniques.
• Expertise in model selection, hyperparameter tuning, and performance optimization.

Forecasting & Statistics

• Strong understanding of:
• Time-Series Analysis
• Forecasting Techniques
• Statistical Inference
• Hypothesis Testing
• Probability Distributions
• A/B Testing

Programming

• Advanced proficiency in Python.
• Experience with:
• Pandas
• NumPy
• Scikit-learn
• Statsmodels
• XGBoost / LightGBM
• Prophet

Data & SQL

• Strong SQL skills with experience in complex queries and performance optimization.
• Experience working with large-scale datasets.

Visualization

• Experience with Power BI, Tableau, Matplotlib, Seaborn, or Plotly.
• Cloud & MLOps (Preferred)
• Exposure to AWS, Azure, or GCP.
• Understanding of Docker, Kubernetes, CI/CD, and ML model deployment practices.

Key Competencies

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to work independently in a fast-paced environment.
• Strong business acumen and data-driven decision-making mindset. 

Roles & Responsibilities:

• Responsible for performing full-cycle recruiting functions including but not limited to job understanding, candidate sourcing, social networking, phone screening, email communication, documentation, summary writing and presentation.
• Identifying right candidates with the right skills to match the US clients’ requirements
• Regularly interacting with Account Manager to understand the requirements
• Should understand the requirement in depth to ensure quality sourcing and recruiting
• Should ensure to revert submit profiles with quick turnaround time for timely submissions to meet sharp deadlines for each requisition
• Make use of effective resourcing strategies, such as head hunting, Internet sourcing, networking, employee referrals
• Must have experience on full Life Cycle of Recruiting (screening resumes, interviewing, offer extension and post-placement care)
• Ability to work as a good team player, Maintaining & building the candidate database

About us:

Devcare Solution is a place where a best-in-class working environment, professional management, and opportunities to learn exist bundled with exceptional rewards. It is ready to take more on board for all those who deserve a dream career. The team is full of good spirits complimenting each one's brilliance at workplace. Needless to say about the interesting projects, you for sure will gain an enriching positive experience every moment.

Name of the company: DevCare Solutions

Year of establishment: April 19th, 2005

Company address: No 4, Ram complex, Padasalai Street, Urapakkam, Chennai 603210

[http://www.devcare..com]www.devcare..com

It's Complete US Shift (Night Shift)

Shift Timing will be 7.00pm to 4.00am IST

5 Days Working Sat & Sunday fixed Week off

Cab facilities are there for our employees

Role & responsibilities

• Design, develop, test, and deploy high-quality Java applications.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Write well-designed, testable, and efficient code using best practices.
• Troubleshoot production issues and provide timely solutions.
• Work with databases, APIs, and third-party services.
• Ensure security and performance of applications.
• Participate in Agile/Scrum processes, including sprint planning and stand-ups.

Required Skills & Qualifications:

• Strong proficiency in Core Java, OOPs, and Java 8+ features.
• Experience with Spring Framework (Spring Boot, MVC, Security, etc.).
• Excellent debugging and problem-solving skills
• Familiarity with RESTful APIs and Microservices Architecture.
• Experience with JPA/Hibernate and SQL/NoSQL databases.
• Knowledge of Maven/Gradle, Git, and CI/CD pipelines.
• Exposure to cloud platforms (AWS, Azure, GCP) is a plus.
• Familiar with unit testing frameworks (JUnit, Mockito, etc.).
• Understanding of design patterns and software engineering principles.
• Bachelor's degree in computer science or related field.

Preferred candidate profile

• Frontend experience with Angular/React.
• Exposure to containerization (Docker, Kubernetes).
• Experience in performance tuning or profiling Java applications.
• Familiarity with message brokers (Kafka, RabbitMQ).

Responsibilities

• Develop and maintain robust APIs to support various applications and services.
• Design and implement scalable solutions using AWS cloud services.
• Utilize Python frameworks such as Flask and Django to build efficient and high-performance applications.
• Collaborate with cross-functional teams to gather and analyze requirements for new features and enhancements.
• Ensure the security and integrity of applications by implementing best practices and security measures.
• Optimize application performance and troubleshoot issues to ensure smooth operation.
• Provide technical guidance and mentorship to junior team members.
• Conduct code reviews to ensure adherence to coding standards and best practices.
• Participate in agile development processes including sprint planning daily stand-ups and retrospectives.
• Develop and maintain documentation for code processes and procedures.
• Stay updated with the latest industry trends and technologies to continuously improve skills and knowledge.
• Contribute to the overall success of the company by delivering high-quality software solutions that meet business needs.
• Foster a collaborative and inclusive work environment that promotes innovation and continuous improvement.

Qualifications

• Possess strong expertise in developing and maintaining APIs.
• Demonstrate proficiency in AWS cloud services and their application in scalable solutions.
• Have extensive experience with Python frameworks such as Flask and Django.
• Exhibit strong analytical and problem-solving skills to address complex technical challenges.
• Show ability to collaborate effectively with cross-functional teams and stakeholders.
• Display excellent communication skills to convey technical concepts clearly.
• Have a background in the Consumer Lending domain is a plus.
• Demonstrate commitment to continuous learning and staying updated with industry trends.
• Possess a strong understanding of agile development methodologies.
• Show experience in mentoring and guiding junior team members.
• Exhibit attention to detail and a commitment to delivering high-quality software solutions.
• Demonstrate ability to work effectively in a hybrid work model.
• Show a proactive approach to identifying and addressing potential issues before they become problems.

• Proven industrial experience in software
• Excellent communication skill
• Excellent on Unix and Shell Scripting, Vi Editor (also Python)
• Development for any Test Automation with C++
• Development experience in Test Automation with shell scripting
• Should have good analysis skills, good comprehension and abstraction capability
• Experience / expertise in Docker
• Good experience working on Databases Oracle/MySQL: SQL Queries, Joins, Views etc.
• Good understanding of C++ skills: STL, String Operations, Design Patterns, OOPS concepts
• Know-how of Eclipse
• CI (Continuous Integration), Jenkins, GIT
• Working experience with Agile methodology, JIRA

Job Description:

Candidate must have 2 to 5-years of experience in various phase of development of a python-based application or API development.

Requirements:

Must Have:  Strong expertise in PYTHON and its built-in data structures, developing API using flask or fastapi, data wrangling using standard python frameworks like pandas, NumPy etc., integration of various applications (third party or inhouse) with python.

Good to Have: Deployment using Nginx, GUnicorn, IIS, docker and Kubernetes etc. Good understanding of optimization solutions like differential evolution. Hands on experience with python packages like Scipy.  Tkinter to make python-based applications.

Roles and Responsibilities:

• Understanding/gathering the requirements from stakeholder, formulating the problem, and leveraging AI/ML to solve the business problems.
• Integration of third party or in house application with python solution.
• Working on Deployment and optimization of various engineering problems using Numerical/Constraint optimization frameworks such as Differential Evolution and deploy a web-based API using Flask and Nginx/IIS.
• Unit testing of various python modules developed and testing of the API.