11 Kmeans Jobs

Role : Data Scientist Experience : 5 years to 8 years Location : Hyderabad, Pune, Bangalore Job Description: Mandatory Skills :Machine Learning, Python Programming Tools Python Pandas NumPy Matplotlib Seaborn Scikit learn SQL complex queries joins CTEs window functions Git Data Analysis Visualization Exploratory Data Analysis EDA trend and correlation analysis hypothesis testing dashboards Power BI Tableau storytelling with data Databases Data Handling SQL Server MySQL basic knowledge of Spark BigQuery Hive is a plus Statistics ML Foundational Descriptive and inferential statistics regression classification clustering KMeans model evaluation metrics accuracy precision recall AUC over fitting under fitting cross validation LLMAI Exposure Familiarity with prompt engineering OpenAI APIs basic usage of GPT models for data text automation awareness of LLM limitations and applications in analytics Soft Skills Strong problem solving ability attention to detail stakeholder communication ability to translate business problems into data solutions Experience Highlights Conducted in depth data analysis to uncover trends patterns and anomalies that informed strategic decisions across product marketing and operations teams Designed and implemented scalable data pipelines and automated data workflows using Python and SQL Developed and maintained analytical models and dashboards to track key business metrics and performance indicators Applied statistical methods and machine learning techniques to solve real world business problems such as forecasting segmentation and performance optimization Collaborated with stakeholders to gather requirements translate business questions into analytical approaches and communicate findings with clarity Explored the use of LLMs eg OpenAI GPT for enhancing internal workflows and accelerating data driven tasks such as querying summarization and content generation

For 3–5 Years Experience Please share your updated via anjali.sharma@genicminds.com _ AI/ML Engineer / Data Scientist _ 1. Core Technical Skills Python (NumPy, Pandas, Scikit-learn, Matplotlib/Seaborn, beautifulsoup, selenium) SQL(MySQL/PostgreSQL), Mongo DB, NLP, Computer Vision, RAG, Vector DBs, LLMs, Agentic AI, Neural Network, RNN, CNN, LSTMs, web scraping. ML algorithms: regression, decision trees, random forests, XGBoost, SVM, KMeans, DBSCAN, etc. Model evaluation: cross-validation, precision/recall, ROC-AUC, confusion matrix 2. AI/ML Frameworks Scikit-learn, TensorFlow or PyTorch Keras Familiar with pre-trained models (e.g., BERT, ResNet, Stable Diffusion) and transfer learning 3. Practical Experience Building and deploying end-to-end ML pipeline Experience with REST APIs or Flask/FastAPI-based model deployment Version control with Git 4. Data Handling Data preprocessing, feature engineering Experience with structured, semi-structured data and unstructured data Data visualization (Power BI, Tableau, or Python libs) 5. Cloud & DevOps Basics Working knowledge of AWS/GCP/Azure (S3, Lambda, SageMaker or equivalent) Docker CI/CD understanding 6. Soft Skills Good documentation practices Able to explain ML models to non-tech stakeholders Cross-functional collaboration experience Job Types: Full-time, Permanent Schedule: Day shift Work Location: In person

For 3–5 Years Experience – Mid-Level AI/ML Engineer / Data Scientist 1. Core Technical Skills Python (NumPy, Pandas, Scikit-learn, Matplotlib/Seaborn, beautifulsoup, selenium) SQL(MySQL/PostgreSQL), Mongo DB, NLP, Computer Vision, RAG, Vector DBs, LLMs, Agentic AI, Neural Network, RNN, CNN, LSTMs, web scraping. ML algorithms: regression, decision trees, random forests, XGBoost, SVM, KMeans, DBSCAN, etc. Model evaluation: cross-validation, precision/recall, ROC-AUC, confusion matrix 2. AI/ML Frameworks Scikit-learn, TensorFlow or PyTorch Keras Familiar with pre-trained models (e.g., BERT, ResNet, Stable Diffusion) and transfer learning 3. Practical Experience Building and deploying end-to-end ML pipelines Experience with REST APIs or Flask/FastAPI-based model deployment Version control with Git 4. Data Handling Data preprocessing, feature engineering Experience with structured, semi-structured data and unstructured data Data visualization (Power BI, Tableau, or Python libs) 5. Cloud & DevOps Basics Working knowledge of AWS/GCP/Azure (S3, Lambda, SageMaker or equivalent) Docker CI/CD understanding 6. Soft Skills Good documentation practices Able to explain ML models to non-tech stakeholders Cross-functional collaboration experience Job Types: Full-time, Permanent Pay: ₹450,000.00 - ₹650,000.00 per year Work Location: In person

As the leader of the data analytics and AI team, you will play a crucial role in driving our organization towards a data-first and data-driven approach. Your primary responsibility will be to deliver and maintain smart data-driven solutions that are essential for our growth and daily operations. By accelerating the adoption of AI solutions, you will enhance efficiency, foster innovation, and gain a competitive advantage for the company. Your role will involve overseeing all aspects of new data and AI projects, from their inception to delivery, with a strong emphasis on assessing business value, ROI, and cost reduction. Your key responsibilities will include leading and developing a robust data analytics and AI team, establishing best practices and methodologies for data analytics and responsible AI initiatives, managing and overseeing AI and LLM projects, building relationships with business process owners, collaborating with internal and external stakeholders, developing advanced models and algorithms, addressing data mining performance issues, and staying updated on the latest advancements in AI and LLM technologies to improve project outcomes. Preferred skills for this role include proficiency in programming languages such as Python, R, or similar, understanding of algorithms like linear regression, logistic regression, decision trees, random forest, boosting algorithms (e.g., XGBoost), clustering techniques, and principal component analysis. Additionally, familiarity with data science concepts including statistics, probability, data transformation, visualization, storytelling, and deep learning, as well as expertise in statistical and mathematical methods and data & AI technologies/tools like ML Ops, ETL, data lakes, graph databases, NLK, and data optimization will be beneficial for success in this position.,

As an AI/ML Developer at our Gurugram location, you will be responsible for designing and implementing end-to-end machine learning models using Python for various tasks such as regression, classification, clustering, NLP, and deep learning. Your expertise in developing AI applications based on Machine Learning and Large Language Model (LLM) using tools like LangChain, RAG pipelines, vector databases, and more will be crucial in driving AI innovation. You will work on building and deploying AI applications leveraging technologies such as Retrieval Augmented Generation (RAG), LangChain, LLMs (OpenAI, Huggingface Transformers), and Vector Databases (FAISS, Pinecone, Milvus). Your role will involve developing robust pipelines for semantic search and retrieval chains in real-world production systems, writing clean and efficient Python code, and collaborating with cross-functional teams to deliver scalable AI/ML solutions. If you have front-end skills in React, it would be considered a big plus as you may also contribute to UI components for interactive AI applications. To be successful in this role, you should have at least 5 years of hands-on experience in AI/ML development using Python and a strong knowledge of ML algorithms such as XGBoost, SVM, Random Forests, Logistic Regression, as well as deep learning models like CNNs, RNNs, Transformers (BERT, GPT), and unsupervised learning techniques including K-Means and PCA. Experience with RAG architecture, LangChain, advanced prompt engineering, vector search techniques, and Python libraries like scikit-learn, TensorFlow, PyTorch, and Huggingface Transformers is essential. Proficiency in working with cloud environments such as AWS, Azure, or GCP is also required. It would be nice to have front-end development experience using React.js, familiarity with MLOps tools like MLflow, Kubeflow, Airflow, and knowledge of self-supervised or contrastive learning methods such as SimCLR and CLIP. In this role, you will have the opportunity to work on cutting-edge AI/ML technologies, collaborate in a fast-paced and innovative environment, contribute to impactful production-level AI solutions, and enjoy competitive compensation and benefits.,

Vodafone Idea Limited is an Aditya Birla Group and Vodafone Group partnership. It is India’s leading telecom service provider. The Company provides pan India Voice and Data services across 2G, 3G and 4G platform. With the large spectrum portfolio to support the growing demand for data and voice, the company is committed to deliver delightful customer experiences and contribute towards creating a truly ‘Digital India’ by enabling millions of citizens to connect and build a better tomorrow. The Company is developing infrastructure to introduce newer and smarter technologies, making both retail and enterprise customers future ready with innovative offerings, conveniently accessible through an ecosystem of digital channels as well as extensive on-ground presence. The Company is listed on National Stock Exchange (NSE) and Bombay Stock Exchange (BSE) in India. We're proud to be an equal opportunity employer. At VIL, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected and empowered to reach their potential and contribute their best. VIL's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our Values of Passion, Boldness, Trust, Speed and Digital. Consequently, our recruiting efforts are directed towards attracting and retaining best and brightest talents. Our endeavour is to be First Choice for prospective employees. VIL ensures equal employment opportunity without discrimination or harassment based on race, colour, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. VIL is an equal opportunity employer committed to diversifying its workforce. Role Senior Data Scientist Job Level/ Designation M3/ GM – Senior Data Scientist Function / Department BDAA and BI/ Marketing Location Mumbai Job Purpose Create business models to impact the revenue and ARPU of the customers using Predictive Modeling, Artificial Intelligence, Machine Learning and cloud technologies by managing a team of data scientist Key Result Areas/Accountabilities Hands on expertise in Predictive Modeling, Artificial Intelligence, Machine Learning and cloud technologies. Interacting with key Business Stakeholders & identifying pain points. Building Data Science approach & roadmap for identified business problem statement. Assessing the Model accuracy both Statistical as well as Business evaluation. Statistical Modelling of Data, through understanding of basic statistics, like hypothesis testing, significant analysis, probabilistic estimations, ANOVA, Variance-covariance analysis. Expertise in writing efficient, modularized and standardized code in python and R Experience of working with AWS tools and technologies is preferred. 8 .In depth understanding of Feature engineering and selection approaches, Segmentation or stratified analyses, anomaly detection, pattern detection and data transformation approaches. Classification; Machine/Deep Learning - Algorithm Evaluation, Dataset Preparation. Excellent understanding of version control and best practices. People's person, while being great team member exhibits mentoring attitude Well versed with writing efficient SQL scripts for data acquisition and data aggregation Experience 2-3 Managing & mentoring a team of Data Scientist & Task Allocation Core Competencies, Knowledge, Experience Self-Starter, Motivated, organize, and excellent communicator Compulsorily being Hands-on Persistence and ability to think logically and independently Quick learner and adapting to changing business needs Must Have Technical / Professional Qualifications Python Cloud Computing - AWS Components ( EC2, S3,EMR,etc) Machine/ Deep Learning – Logistic Regression, XGBoost, SVM, Kmeans, ANN, CNN, LSTM, LLM etc.4. Deep Learning Frameworks : Caffe, Keras, Theano, Tensorflow, or Torch. Experience working on Big Data technologies (e.g. Hadoop MR, Hive, NoSQL, Spark, Kafka, Graph Databases etc.) Qualification BE, BTech Computer Science/Post Graduate Degree in Computer Applications or MCA Any Certification in Machine Learning / Deep Learning - Artificail Intelligence / Data Science MBA or an equivalent business analytics degree Vodafone Idea Limited (formerly Idea Cellular Limited) An Aditya Birla Group & Vodafone partnership

About Zupee We are the biggest online gaming company with largest market share in the Indian gaming sector’s largest segment — Casual & Boardgame. We make skill-based games that spark joy in the everyday lives of people by engaging, entertaining, and enabling earning while at play. In the three plus years of existence, Zupee has been on a mission to improve people’s lives by boosting their learning ability, skills, and cognitive aptitude through scientifically designed gaming experiences. Zupee presents a timeout from the stressful environments we live in today and sparks joy in the lives of people through its games. Zupee invests in people and bets on creating excellent user experiences to drive phenomenal growth. We have been running profitable at EBT level since Q3, 2020 while closing Series B funding at $102 million, at a valuation of $600 million. Zupee is all set to transform from a fast-growing startup to a firm contender for the biggest gaming studio in India.. ABOUT THE JOB Role: Lead Machine Learning Engineer Reports to: Manager- Data Scientist Location: Gurgaon Job Summary: We seek a an individual to drive innovation in AI ML-based algorithms and personalized offer experiences. This role will focus on designing and implementing advanced machine learning models, including reinforcement learning techniques like Contextual Bandits, Q-learning, SARSA, and more. By leveraging algorithmic expertise in classical ML and statistical methods, you will develop solutions that optimize pricing strategies, improve customer value, and drive measurable business impact. Qualifications: - 6+ years in machine learning, 4+ years in reinforcement learning, recommendation systems, pricing algorithms, pattern recognition, or artificial intelligence. - Expertise in classical ML techniques (e.g., Classification, Clustering, Regression) using algorithms like XGBoost, Random Forest, SVM, and KMeans, with hands-on experience in RL methods such as Contextual Bandits, Q-learning, SARSA, and Bayesian approaches for pricing optimization. - Proficiency in handling tabular data, including sparsity, cardinality analysis, standardization, and encoding. - Proficient in Python and SQL (including Window Functions, Group By, Joins, and Partitioning). - Experience with ML frameworks and libraries such as scikit-learn, TensorFlow, and PyTorch - Knowledge of controlled experimentation techniques, including causal A/B testing and multivariate testing. Key Responsibilities Algorithm Development: Conceptualize, design, and implement state-of-the-art ML models for dynamic pricing and personalized recommendations. Reinforcement Learning Expertise: Develop and apply RL techniques, including Contextual Bandits, Q-learning, SARSA, and concepts like Thompson Sampling and Bayesian Optimization, to solve pricing and optimization challenges. AI Agents for Pricing: Build AI-driven pricing agents that incorporate consumer behavior, demand elasticity, and competitive insights to optimize revenue and conversion. Rapid ML Prototyping: Experience in quickly building, testing, and iterating on ML prototypes to validate ideas and refine algorithms. Feature Engineering: Engineer large-scale consumer behavioral feature stores to support ML models, ensuring scalability and performance. Cross-Functional Collaboration: Work closely with Marketing, Product, and Sales teams to ensure solutions align with strategic objectives and deliver measurable impact. Controlled Experiments: Design, analyze, and troubleshoot A/B and multivariate tests to validate the effectiveness of your models. Required Skills and Experience UPLIFT MODELING BAYESIAN OPTIMIZATION MULTI-ARMED BANDITS CONTEXTUAL BANDITS PRICING OPTIMIZATION REINFORCEMENT LEARNING

About Zupee We are the biggest online gaming company with largest market share in the Indian gaming sector’s largest segment — Casual & Boardgame. We make skill-based games that spark joy in the everyday lives of people by engaging, entertaining, and enabling earning while at play. In the three plus years of existence, Zupee has been on a mission to improve people’s lives by boosting their learning ability, skills, and cognitive aptitude through scientifically designed gaming experiences. Zupee presents a timeout from the stressful environments we live in today and sparks joy in the lives of people through its games. Zupee invests in people and bets on creating excellent user experiences to drive phenomenal growth. We have been running profitable at EBT level since Q3, 2020 while closing Series B funding at $102 million, at a valuation of $600 million. Zupee is all set to transform from a fast-growing startup to a firm contender for the biggest gaming studio in India.. ABOUT THE JOB Role: Senior Machine Learning Engineer Reports to: Manager- Data Scientist Location: Gurgaon Job Summary: We seek a an individual to drive innovation in AI ML-based algorithms and personalized offer experiences. This role will focus on designing and implementing advanced machine learning models, including reinforcement learning techniques like Contextual Bandits, Q-learning, SARSA, and more. By leveraging algorithmic expertise in classical ML and statistical methods, you will develop solutions that optimize pricing strategies, improve customer value, and drive measurable business impact. Qualifications: - 3+ years in machine learning, 2+ years in reinforcement learning, recommendation systems, pricing algorithms, pattern recognition, or artificial intelligence. - Expertise in classical ML techniques (e.g., Classification, Clustering, Regression) using algorithms like XGBoost, Random Forest, SVM, and KMeans, with hands-on experience in RL methods such as Contextual Bandits, Q-learning, SARSA, and Bayesian approaches for pricing optimization. - Proficiency in handling tabular data, including sparsity, cardinality analysis, standardization, and encoding. - Proficient in Python and SQL (including Window Functions, Group By, Joins, and Partitioning). - Experience with ML frameworks and libraries such as scikit-learn, TensorFlow, and PyTorch - Knowledge of controlled experimentation techniques, including causal A/B testing and multivariate testing. Key Responsibilities - Algorithm Development: Conceptualize, design, and implement state-of-the-art ML models for dynamic pricing and personalized recommendations. - Reinforcement Learning Expertise: Develop and apply RL techniques, including Contextual Bandits, Q-learning, SARSA, and concepts like Thompson Sampling and Bayesian Optimization, to solve pricing and optimization challenges. -AI Agents for Pricing: Build AI-driven pricing agents that incorporate consumer behavior, demand elasticity, and competitive insights to optimize revenue and conversion. - Rapid ML Prototyping: Experience in quickly building, testing, and iterating on ML prototypes to validate ideas and refine algorithms. -Feature Engineering: Engineer large-scale consumer behavioral feature stores to support ML models, ensuring scalability and performance. -Cross-Functional Collaboration: Work closely with Marketing, Product, and Sales teams to ensure solutions align with strategic objectives and deliver measurable impact. -Controlled Experiments: Design, analyze, and troubleshoot A/B and multivariate tests to validate the effectiveness of your models. Required Skills and Experience UPLIFT MODELING BAYESIAN OPTIMIZATION MULTI-ARMED BANDITS CONTEXTUAL BANDITS PRICING OPTIMIZATION REINFORCEMENT LEARNING

About Zupee We are the biggest online gaming company with largest market share in the Indian gaming sector’s largest segment — Casual & Boardgame. We make skill-based games that spark joy in the everyday lives of people by engaging, entertaining, and enabling earning while at play. In the three plus years of existence, Zupee has been on a mission to improve people’s lives by boosting their learning ability, skills, and cognitive aptitude through scientifically designed gaming experiences. Zupee presents a timeout from the stressful environments we live in today and sparks joy in the lives of people through its games. Zupee invests in people and bets on creating excellent user experiences to drive phenomenal growth. We have been running profitable at EBT level since Q3, 2020 while closing Series B funding at $102 million, at a valuation of $600 million. Zupee is all set to transform from a fast-growing startup to a firm contender for the biggest gaming studio in India.. ABOUT THE JOB Role: Lead Machine Learning Engineer Reports to: Manager- Data Scientist Location: Gurgaon Job Summary: We seek a an individual to drive innovation in AI ML-based algorithms and personalized offer experiences. This role will focus on designing and implementing advanced machine learning models, including reinforcement learning techniques like Contextual Bandits, Q-learning, SARSA, and more. By leveraging algorithmic expertise in classical ML and statistical methods, you will develop solutions that optimize pricing strategies, improve customer value, and drive measurable business impact. Qualifications: - 6+ years in machine learning, 4+ years in reinforcement learning, recommendation systems, pricing algorithms, pattern recognition, or artificial intelligence. - Expertise in classical ML techniques (e.g., Classification, Clustering, Regression) using algorithms like XGBoost, Random Forest, SVM, and KMeans, with hands-on experience in RL methods such as Contextual Bandits, Q-learning, SARSA, and Bayesian approaches for pricing optimization. - Proficiency in handling tabular data, including sparsity, cardinality analysis, standardization, and encoding. - Proficient in Python and SQL (including Window Functions, Group By, Joins, and Partitioning). - Experience with ML frameworks and libraries such as scikit-learn, TensorFlow, and PyTorch - Knowledge of controlled experimentation techniques, including causal A/B testing and multivariate testing. Key Responsibilities Algorithm Development: Conceptualize, design, and implement state-of-the-art ML models for dynamic pricing and personalized recommendations. Reinforcement Learning Expertise: Develop and apply RL techniques, including Contextual Bandits, Q-learning, SARSA, and concepts like Thompson Sampling and Bayesian Optimization, to solve pricing and optimization challenges. AI Agents for Pricing: Build AI-driven pricing agents that incorporate consumer behavior, demand elasticity, and competitive insights to optimize revenue and conversion. Rapid ML Prototyping: Experience in quickly building, testing, and iterating on ML prototypes to validate ideas and refine algorithms. Feature Engineering: Engineer large-scale consumer behavioral feature stores to support ML models, ensuring scalability and performance. Cross-Functional Collaboration: Work closely with Marketing, Product, and Sales teams to ensure solutions align with strategic objectives and deliver measurable impact. Controlled Experiments: Design, analyze, and troubleshoot A/B and multivariate tests to validate the effectiveness of your models. Required Skills and Experience UPLIFT MODELING BAYESIAN OPTIMIZATION MULTI-ARMED BANDITS CONTEXTUAL BANDITS PRICING OPTIMIZATION REINFORCEMENT LEARNING Show more Show less

About Zupee We are the biggest online gaming company with largest market share in the Indian gaming sector’s largest segment — Casual & Boardgame. We make skill-based games that spark joy in the everyday lives of people by engaging, entertaining, and enabling earning while at play. In the three plus years of existence, Zupee has been on a mission to improve people’s lives by boosting their learning ability, skills, and cognitive aptitude through scientifically designed gaming experiences. Zupee presents a timeout from the stressful environments we live in today and sparks joy in the lives of people through its games. Zupee invests in people and bets on creating excellent user experiences to drive phenomenal growth. We have been running profitable at EBT level since Q3, 2020 while closing Series B funding at $102 million, at a valuation of $600 million. Zupee is all set to transform from a fast-growing startup to a firm contender for the biggest gaming studio in India.. ABOUT THE JOB Role: Senior Machine Learning Engineer Reports to: Manager- Data Scientist Location: Gurgaon Job Summary: We seek a an individual to drive innovation in AI ML-based algorithms and personalized offer experiences. This role will focus on designing and implementing advanced machine learning models, including reinforcement learning techniques like Contextual Bandits, Q-learning, SARSA, and more. By leveraging algorithmic expertise in classical ML and statistical methods, you will develop solutions that optimize pricing strategies, improve customer value, and drive measurable business impact. Qualifications: - 3+ years in machine learning, 2+ years in reinforcement learning, recommendation systems, pricing algorithms, pattern recognition, or artificial intelligence. - Expertise in classical ML techniques (e.g., Classification, Clustering, Regression) using algorithms like XGBoost, Random Forest, SVM, and KMeans, with hands-on experience in RL methods such as Contextual Bandits, Q-learning, SARSA, and Bayesian approaches for pricing optimization. - Proficiency in handling tabular data, including sparsity, cardinality analysis, standardization, and encoding. - Proficient in Python and SQL (including Window Functions, Group By, Joins, and Partitioning). - Experience with ML frameworks and libraries such as scikit-learn, TensorFlow, and PyTorch - Knowledge of controlled experimentation techniques, including causal A/B testing and multivariate testing. Key Responsibilities - Algorithm Development: Conceptualize, design, and implement state-of-the-art ML models for dynamic pricing and personalized recommendations. - Reinforcement Learning Expertise: Develop and apply RL techniques, including Contextual Bandits, Q-learning, SARSA, and concepts like Thompson Sampling and Bayesian Optimization, to solve pricing and optimization challenges. -AI Agents for Pricing: Build AI-driven pricing agents that incorporate consumer behavior, demand elasticity, and competitive insights to optimize revenue and conversion. - Rapid ML Prototyping: Experience in quickly building, testing, and iterating on ML prototypes to validate ideas and refine algorithms. -Feature Engineering: Engineer large-scale consumer behavioral feature stores to support ML models, ensuring scalability and performance. -Cross-Functional Collaboration: Work closely with Marketing, Product, and Sales teams to ensure solutions align with strategic objectives and deliver measurable impact. -Controlled Experiments: Design, analyze, and troubleshoot A/B and multivariate tests to validate the effectiveness of your models. Required Skills and Experience UPLIFT MODELING BAYESIAN OPTIMIZATION MULTI-ARMED BANDITS CONTEXTUAL BANDITS PRICING OPTIMIZATION REINFORCEMENT LEARNING Show more Show less

Job Title: Data Scientist Location-Mumbai Exp-6-7 yrs Education-Full time B.E. / B. Tech / M. Tech Required Technical Skill Set: Programming Skills knowledge of statistical programming languages like R, Python with MS Excel and database query languages like SQL is desirable. • Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies. • Machine Learning – good knowledge of machine learning methods like Supervised, Unsupervised, k-Nearest Neighbours, Naive Bayes, SVM, Decision Tree, Random Forest, KMeans, Advanced Regression Methods (Lasso Regression, Ridge Regression), etc. • Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques. • Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description. • Experience with Data Visualization Tools like matplotlib, ggplot, tableau that helps to visually encode data. • Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience. • Hands-on experience with data science tools • Problem-solving aptitude • Analytical mind and great business sense Show more Show less