Data Scientist
Posted Updated
Description
<p style="text-align:justify;"><span style="font-family:Calibri;font-size:18px;">Job Title: <b>Data Scientist - Analytics & Machine Learning</b></span></p><p style="text-align:justify;"><span style="font-family:Calibri;font-size:18px;"><b>About the Role</b></span></p><p style="text-align:justify;"><span style="font-family:Calibri;">We are seeking a talented and analytical Data Scientist to join our growing AI and Analytics team. In this role, you will leverage statistical analysis, machine learning, and data engineering techniques to solve complex business problems and deliver actionable insights. You will work closely with cross-functional teams to develop predictive models, optimize business processes, and build scalable data-driven solutions that influence strategic decision-making.</span></p><p style="text-align:justify;"><span style="font-family:Calibri;">The ideal candidate combines strong analytical thinking with hands-on experience in machine learning, data visualization, and programming, along with the ability to communicate complex findings to both technical and non-technical stakeholders.</span></p><p style="text-align:justify;"><br /></p><p style="text-align:justify;"><span style="font-family:Calibri;font-size:18px;"><b>What You'll Do</b></span></p><p style="text-align:justify;"><span style="font-family:Calibri;"><b>Data Analysis & Business Insights</b></span></p><ul><li style="text-align:justify;"><span style="font-family:Calibri;">Analyze large, structured, and unstructured datasets to identify trends, patterns, and business opportunities.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Perform exploratory data analysis (EDA) and statistical analysis to uncover actionable insights.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Translate analytical findings into business recommendations that support strategic decision-making.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Collaborate with business stakeholders to define key metrics and performance indicators.</span></li></ul><p style="text-align:justify;"><span style="font-family:Calibri;"><b>Machine Learning & Predictive Analytics</b></span></p><ul><li style="text-align:justify;"><span style="font-family:Calibri;">Develop, train, validate, and deploy machine learning models for classification, regression, forecasting, clustering, and recommendation systems.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Build predictive and statistical models to solve business challenges across multiple domains.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Optimize model performance through feature engineering, hyperparameter tuning, and model evaluation.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Continuously monitor model performance and improve prediction accuracy.</span></li></ul><p style="text-align:justify;"><span style="font-family:Calibri;"><b>Data Engineering & Automation</b></span></p><ul><li style="text-align:justify;"><span style="font-family:Calibri;">Design efficient data pipelines for data extraction, transformation, and preparation.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Automate data processing and analytical workflows to improve operational efficiency.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Ensure data quality, consistency, and reliability across analytical solutions.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Work with engineering teams to integrate machine learning models into production systems.</span></li></ul><p style="text-align:justify;"><span style="font-family:Calibri;"><b>Reporting & Data Visualization</b></span></p><ul><li style="text-align:justify;"><span style="font-family:Calibri;">Develop dashboards, reports, and interactive visualizations using modern BI tools.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Present analytical insights through compelling visual storytelling for technical and business audiences.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Monitor business KPIs and provide regular performance reporting.</span></li></ul><p style="text-align:justify;"><span style="font-family:Calibri;"><b>Cross-Functional Collaboration</b></span></p><ul><li style="text-align:justify;"><span style="font-family:Calibri;">Partner with product, engineering, marketing, finance, and business teams to deliver data-driven solutions.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Work closely with stakeholders to understand business problems and translate them into analytical use cases.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Support experimentation, A/B testing, and hypothesis-driven decision-making across the organization.</span></li></ul><p style="text-align:justify;"><span style="font-family:Calibri;"><b>Research & Innovation</b></span></p><ul><li style="text-align:justify;"><span style="font-family:Calibri;">Stay current with advancements in machine learning, artificial intelligence, and analytics.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Evaluate new algorithms, tools, and technologies to improve analytical capabilities.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Contribute to the development of scalable AI and data science best practices.</span></li></ul><p style="text-align:justify;"><span style="font-family:Calibri;"><b><br /></b></span></p><p style="text-align:justify;"><span style="font-family:Calibri;font-size:18px;"><b>What We're Looking For</b></span></p><p style="text-align:justify;"><span style="font-family:Calibri;"><b>Educational Background</b></span></p><ul><li style="text-align:justify;"><span style="font-family:Calibri;">Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related quantitative field.</span></li></ul><p style="text-align:justify;"><span style="font-family:Calibri;"><b>Technical Expertise</b></span></p><ul><li style="text-align:justify;"><span style="font-family:Calibri;">Strong proficiency in Python, SQL, and R for data analysis and machine learning.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Hands-on experience with machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, or XGBoost.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Strong understanding of statistics, probability, predictive modeling, and experimental design.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Experience with data visualization tools such as Tableau, Power BI, Matplotlib, or Seaborn.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Knowledge of data wrangling, feature engineering, and model evaluation techniques.</span></li></ul><p style="text-align:justify;"><span style="font-family:Calibri;"><b>Professional Experience</b></span></p><ul><li style="text-align:justify;"><span style="font-family:Calibri;">2+ years of experience in Data Science, Machine Learning, or Analytics.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Experience working with structured and unstructured datasets at scale.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Proven ability to develop and deploy machine learning models in production environments.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Strong analytical, problem-solving, and communication skills.</span></li></ul><p style="text-align:justify;"><span style="font-family:Calibri;"><b><br /></b></span></p><p style="text-align:justify;"><span style="font-family:Calibri;font-size:18px;"><b>Nice to Have</b></span></p><p style="text-align:justify;"><span style="font-family:Calibri;"><b>Cloud & Big Data</b></span></p><ul><li style="text-align:justify;"><span style="font-family:Calibri;">Experience with AWS, Microsoft Azure, or Google Cloud Platform.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Familiarity with Spark, Hadoop, Databricks, or distributed data processing frameworks.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Experience working with data warehouses and modern data platforms.</span></li></ul><p style="text-align:justify;"><span style="font-family:Calibri;"><b>Advanced AI & Analytics</b></span></p><ul><li style="text-align:justify;"><span style="font-family:Calibri;">Experience with Natural Language Processing (NLP), Computer Vision, or Deep Learning.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Knowledge of Large Language Models (LLMs), Generative AI, or Retrieval-Augmented Generation (RAG).</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Experience with recommendation systems, time-series forecasting, or optimization algorithms.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Understanding of MLOps, model deployment, monitoring, and CI/CD pipelines.</span></li></ul><p style="text-align:justify;"><span style="font-family:Calibri;"><b>Business & Communication</b></span></p><ul><li style="text-align:justify;"><span style="font-family:Calibri;">Experience translating business problems into data science solutions.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Strong stakeholder management and presentation skills.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Ability to communicate technical concepts clearly to business audiences.</span></li></ul><p style="text-align:justify;"><span style="font-family:Calibri;"><b>Tools & Technologies</b></span></p><ul><li style="text-align:justify;"><span style="font-family:Calibri;">Programming: Python, SQL, R</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Machine Learning: Scikit-learn, TensorFlow, PyTorch, XGBoost, Hugging Face</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Data Processing: Pandas, NumPy, Spark</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Visualization: Tableau, Power BI, Matplotlib, Seaborn</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Cloud & Big Data: AWS, Azure, Google Cloud Platform, Databricks</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Databases: SQL, PostgreSQL, MySQL, MongoDB</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">MLOps & DevOps: MLflow, Docker, Git, Airflow, CI/CD</span></li></ul><p style="text-align:justify;"><span style="font-family:Calibri;"><b>Why You'll Love Working With Us</b></span></p><ul><li style="text-align:justify;"><span style="font-family:Calibri;">Opportunity to work on innovative AI, machine learning, and analytics projects.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Exposure to cutting-edge technologies including Generative AI and predictive analytics.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Collaborative and growth-focused engineering culture.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Continuous learning, mentorship, and career development opportunities.</span></li><li style="text-align:justify;"><span style="font-family:Calibri;">Competitive compensation and benefits.</span></li></ul><p style="text-align:justify;"><span style="font-family:Calibri;"><b><br /></b></span></p><p style="text-align:justify;"><span style="font-family:Calibri;"><b>Role Details</b></span></p><p style="text-align:justify;"><span style="font-family:Calibri;">Position: <b>Data Scientist</b></span></p><p style="text-align:justify;"><span style="font-family:Calibri;">Employment Type: <b>Full-Time</b></span></p><p style="text-align:justify;"><span style="font-family:Calibri;">Experience Level: <b>Mid-Level (2+ Years)</b></span></p><p style="text-align:justify;"><span style="font-family:Calibri;">Location: <b>Bengaluru, On-site</b></span></p><p style="text-align:justify;"><br /></p><p style="margin:0px;font-size:17px;text-align:justify;"><span style="margin:0px;font-weight:bolder;"><span style="margin:0px;font-family:Calibri;font-size:14px;">Recruitment Fraud Warning & Disclaimer</span></span></p><p style="margin:0px;font-size:17px;text-align:justify;"><span style="margin:0px;font-family:Calibri;font-size:14px;">KreditBee is committed to maintaining a transparent, fair, and secure recruitment process. We have become aware of fraudulent individuals and entities falsely claiming to represent KreditBee and offering fake employment opportunities.</span></p><p style="margin:0px;font-size:17px;text-align:justify;"><span style="margin:0px;font-family:Calibri;font-size:14px;">Please note that KreditBee never asks candidates to pay any money for registration, training, certifications, security deposits, or any other purpose at any stage of the recruitment process. All official recruitment communications are sent through verified company email domains, primarily @kreditbee.in, @krazybee.com, and @kbnbfc.in. Candidates are advised to verify the sender's email address before responding to any recruitment-related communication. KreditBee does not conduct recruitment through unofficial email addresses or request payments.</span></p><p style="margin:0px;font-size:17px;text-align:justify;"><span style="margin:0px;font-family:Calibri;font-size:14px;">If you receive a suspicious job offer, interview invitation, or recruitment-related communication claiming to be from KreditBee, do not make any payment or share sensitive personal or financial information. We encourage you to verify the authenticity of the communication through our official careers page or by contacting us at hr@kreditbee.in</span></p><p style="margin:0px;font-size:17px;text-align:justify;"><span style="margin:0px;font-weight:bolder;"><span style="margin:0px;font-family:Calibri;font-size:14px;">Disclaimer: </span></span><span style="margin:0px;font-family:Calibri;font-size:14px;">KreditBee shall not be responsible for any loss, damage, or claims arising from fraudulent job offers or recruitment communications made by unauthorized individuals or entities falsely representing the company. Candidates should exercise due diligence and verify the authenticity of all recruitment-related communications before taking any action.</span></p><p style="margin:0px;font-size:17px;text-align:justify;"><span style="margin:0px;font-family:Calibri;font-size:14px;">This job description is intended to outline the general nature and key responsibilities of the position. It is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the role. The responsibilities and qualifications described may be subject to change, and other duties may be assigned as needed. Employment is at-will, meaning the employee or the employer may terminate the employment relationship at any time, with or without cause, and with or without notice.</span></p><p style="margin:0px;font-size:17px;text-align:justify;"><span style="margin:0px;font-family:Calibri;font-size:14px;"><span style="margin:0px;font-weight:bolder;">Data Utilization Disclaimer</span></span></p><p style="margin:0px;font-size:17px;text-align:justify;"><span style="margin:0px;font-family:Calibri;font-size:14px;">By applying for this position, you acknowledge and agree that any personal data you provide may be used for recruitment and employment purposes. The data collected will be stored and processed in accordance with our privacy policy and applicable data protection laws. Your information will only be shared with relevant internal stakeholders and will not be disclosed to third parties without your consent, unless required by law.</span></p>
Skills
- A/B Testing
- AI
- Airflow
- Analytics
- Automation
- AWS
- Azure
- Big Data
- CI/CD
- Cloud
- Computer Vision
- Data Engineering
- Data Pipelines
- Data Quality
- Data Science
- Data Visualization
- Databricks
- Deep Learning
- DevOps
- Docker
- Feature Engineering
- GCP
- Generative AI
- Git
- Hadoop
- Hugging Face
- LLM
- Machine Learning
- Matplotlib
- MLflow
- MLOps
- Model Deployment
- Model Evaluation
- MongoDB
- MySQL
- NLP
- NumPy
- pandas
- PostgreSQL
- Power BI
- Predictive Analytics
- Predictive Modeling
- Python
- PyTorch
- RAG
- Recommendation Systems
- scikit-learn
- Seaborn
- Spark
- SQL
- Stakeholder Management
- Statistics
- Tableau
- TensorFlow
- Time Series
- XGBoost