IoT Developer Intern (Embedded Systems)

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. 

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)

WE’RE HIRING — SALES MANAGER

ARYAN REALTY INFRATECH PVT LTD📍 Gurgaon (Sector-71)

✨ Passionate about real estate sales? Know Gurgaon well?

We want YOU on our team!

🔎 What We’re Looking For:

✅ Graduates with 2-4 years real estate sales experience

✅ Strong knowledge of Gurgaon areas

✅ Own vehicle — must for client visits

✅ Excellent communication & negotiation skills

✅ Goal-driven with a proactive attitude

Job Title: Hr recruiter

Company: Palis Decor

Location: Bommasandra Industrial Area, Bangalore

Experience: 1-2years’

Salary: Up to 18k per month

Gender: Female

Job Description:

Palis Decor is seeking a dedicated and detail-oriented Hr-Recruiter to join our team at Bommasandra Industrial Area.

Why Join Palis Decor?

• Work in a dynamic environment with a supportive team.
• Opportunities for growth and skill enhancement.
• Competitive salary and work-life balance.

Manage store operational requirements by scheduling and assigning employees

Maintain results by coaching, counseling and disciplining employees

Prepare annual budget, schedule expenditure, analyze variances and initiate corrective actions

Protect employees and customers by providing a safe and clean store environment

Manage all controllable costs to keep operations profitable

Technical Lead - .NET

Responsibilities:

• Develop and deliver technical systems
• Maintain adherence to architectural standards/principles, global product-specific guidelines, usability design standards, etc.
• Participate in the development and review of documents to comply with SDLC methodologies [e.g., Engineering Work Breakdown Structure (WBS), estimation, Solution Design Document (SDD) and Software Architecture Documents (SAD)]
• Provide support and documentation to assist in sustaining the project during the transition to production where necessary
• Adhere to Application Engineering methodologies, standards, code reviews
• Provide feedback regarding application engineering methodologies, standards, and leading practices when appropriate
• Identify potential points of contention for missed activities and notify project leadership of situation and remediation plan
• Minimize technical exposure and risk on projects
• Provide technical guidance to development team members
• Technical deliverables (i.e., code and documentation) on projects assigned
• Translate detailed Requirements and Design and Solution Architecture deliverables into detailed design specifications
• Maintain effective and consistent communication within the team, with peers, the leadership team, and the peers in other IT groups
• Proactively raise issues to Technical and Group Leads when necessary
• Produce high-quality application engineering deliverables in accordance with the project timeline
• Build and unit test a project to detailed design specifications
• Provide thought leadership and technical guidance to engineering staff
• Review of code completed
• Review performance of developers
• Proactively anticipate project issues before they occur; define the problem; identify possible causes; work with the team to identify solutions; select and implement the most appropriate solution
• Apply judgment in implementing Application Engineering methodologies, processes, and practices to specific requirements of projects/programs which may include product design engineering, information security, code maintainability and reliability

Requirements:

Must Have:

• Bachelor’s OR master’s degree in a technical field and/or equivalent work experience
• At least 3 years acting a senior architecture / technical lead role in a comparable organization
• Significant experience of deploying large, enterprise-wide implementations to significant user volumes
• At least 5 years of hands-on experience leading a team of developers - defining work breakdown structures/tasks, assigning the teamwork items, monitoring, and ensuring quality and adherence to standards etc.
• At least 8 years of relevant hands-on work experience building, integrating, and delivering enterprise-wide web and windows applications using Microsoft and other technologies for large organizations on complex projects
• 8+ years of ASP.Net MVC, ASP.Net experience
• 8+ years of experience of working with applications that have a SQL Server backend
• 5+ years of experience with Object-Relational Mappers such as Entity Framework, ADO.NET, Dapper
• Expert level knowledge of .NET Web API is required. .NET Core knowledge is preferred, but Web API experience with legacy .NET is ok
• 5+ years of experience with GIT
• 3+ years of experience of Azure Devops
• In-depth knowledge of object-oriented analysis and design (OOAD) principles, and familiarity with many design patterns for Software applications.
• Demonstrated expertise in application design and construction, work breakdown structure of items, design and code reviews, unit test and build activities, deployment and performance related activities, documentation, support, and training/mentoring
• Excellent communication skills, verbal and written

Nice to have:

• Ideally experience working with SSRS, SSIS
• Experience with MongoDB or another document database would be a plus
• Knowledge and experience with working on N-Tier applications.
• Demonstrated ability to build strong working relationships
• Experience working on projects following Agile methodologies would be ideal
• Experience working with Azure or other cloud providers would be ideal
• Ability to work within diverse, global, virtual teams.
• Proven ability to thrive under pressure
• Some experience with design and prototyping tools and diagramming is desired

Roles & Responsibilities

- Writing good quality code.

- Be able to design ,implement and deploy scalable backend applications on cloud(AWS/Azure).

- Be able to take ownership of projects and deliver them on time.

- Be able to lead a team and mentor junior developers.

Qualifications:

- BE/BTech degree in CS/IT or similar related field.

- 4+ years experience as backend engineer.

- Good knowledge in Python and at least one of the framework - Django, Flask, FastAPI, etc.

- Hands on experience in building microservices applications on AWS/GCP/Azure.

- Good understanding of platforms(Docker, AWS/Azure).

- Must have good understanding of Data Structures/Algorithms/Databases and other CS concepts.

- Experience working in multiple databases and data modelling.

- Experience writing APIs and related technologies like REST, JSON, websockets, grpc etc.

- Should be inquisitive enough picking up any language and frameworks based on need.

- Should be able to design/implement/deploy end-to-end systems.

- Having good knowledge on deploying cloud applications and with Dockers/Kubernetes is a plus.

- Experience building end-to-end analytics systems is a plus.