58 Data Scientists jobs in Kochi
Data Science Graduate Intern
Posted 19 days ago
Job Viewed
Job Description
Remote Graduate Trainee - Data Science
Posted 20 days ago
Job Viewed
Job Description
Responsibilities:
- Assist in data collection, cleaning, and preprocessing tasks.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Support the development and validation of predictive models.
- Create data visualizations and reports to communicate findings.
- Collaborate with senior data scientists on various projects.
- Learn and apply machine learning algorithms and statistical techniques.
- Contribute to data warehousing and business intelligence initiatives.
- Participate in team meetings and knowledge-sharing sessions.
- Assist in documenting data science processes and methodologies.
- Adhere to best practices in data analysis and reporting.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Foundational knowledge of programming languages such as Python or R.
- Understanding of statistical concepts and data analysis techniques.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
- Basic knowledge of machine learning concepts is a plus.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
Data Science Intern - AI/ML Focus
Posted 8 days ago
Job Viewed
Job Description
Responsibilities:
- Assist in data collection, cleaning, and preprocessing for various projects.
- Support the development and implementation of machine learning models.
- Perform exploratory data analysis and data visualization to identify trends and insights.
- Help in the evaluation and tuning of model performance.
- Document methodologies, findings, and results.
- Collaborate with senior data scientists and engineers on project tasks.
- Participate in team meetings and contribute to discussions.
- Learn and apply new data science techniques and tools.
- Assist in the preparation of reports and presentations.
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Foundational knowledge of statistics and probability.
- Proficiency in Python programming and relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
- Basic understanding of machine learning algorithms.
- Familiarity with data visualization tools.
- Strong analytical and problem-solving skills.
- Good communication and interpersonal skills.
- Eagerness to learn and contribute in a team environment.
- Ability to work effectively in a hybrid setting.
Senior Technical Sourcer - Data Science & AI
Posted 20 days ago
Job Viewed
Job Description
Key Responsibilities:
- Develop and execute innovative sourcing strategies to identify qualified candidates for Data Science, Machine Learning, AI, and related technical roles.
- Utilize advanced Boolean search techniques, LinkedIn Recruiter, GitHub, and other platforms to discover passive and active candidates.
- Conduct thorough pre-screening calls to assess candidate qualifications, technical skills, and cultural fit.
- Build and maintain robust talent pipelines for current and future hiring needs.
- Partner closely with Technical Recruiters and Hiring Managers to understand role requirements and market dynamics.
- Maintain accurate and up-to-date candidate records in the Applicant Tracking System (ATS).
- Stay current with industry trends, emerging technologies, and best practices in technical sourcing.
- Provide market intelligence and insights to the recruitment team.
- Ensure a positive and engaging candidate experience throughout the sourcing process.
- Bachelor's degree in a relevant field or equivalent practical experience.
- Minimum of 5 years of experience in technical sourcing, with a strong focus on Data Science, AI, Machine Learning, or Software Engineering.
- Expertise in advanced sourcing techniques, including Boolean search and effective use of recruitment technology platforms.
- Deep understanding of technical terminology, programming languages, AI/ML concepts, and cloud technologies.
- Excellent communication, interpersonal, and negotiation skills.
- Proven ability to build relationships and engage with highly technical candidates.
- Proficiency with Applicant Tracking Systems (ATS).
- Ability to manage multiple sourcing projects simultaneously and meet tight deadlines.
- Strong analytical skills and attention to detail.
- Experience working in a recruitment agency or RPO environment is advantageous.
Senior Data Scientist - Machine Learning
Posted 1 day ago
Job Viewed
Job Description
- Designing, developing, and implementing advanced machine learning models.
- Performing data mining, feature engineering, and data preprocessing.
- Evaluating and validating model performance, ensuring accuracy and robustness.
- Deploying machine learning models into production environments.
- Collaborating with software engineers to integrate ML solutions into existing platforms.
- Identifying opportunities for leveraging data science and ML to solve business challenges.
- Conducting in-depth analysis of large, complex datasets.
- Staying current with the latest advancements in machine learning and AI research.
- Presenting findings and insights to both technical and non-technical stakeholders.
- Mentoring junior data scientists and contributing to team knowledge sharing. The ideal candidate will hold a Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field, with a strong portfolio of machine learning projects. Proven experience in areas such as deep learning, natural language processing, or computer vision is highly desirable. Proficiency in programming languages like Python or R, and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) are essential. Excellent problem-solving skills, strong communication abilities, and a passion for data-driven innovation are required. Join us in **Kochi, Kerala, IN** to push the boundaries of what's possible with AI.
Lead Data Scientist - Machine Learning
Posted 20 days ago
Job Viewed
Job Description
Junior Data Scientist - Machine Learning Intern
Posted 17 days ago
Job Viewed
Job Description
Responsibilities:
- Assist in data collection, cleaning, and preprocessing tasks.
- Implement and test various machine learning algorithms.
- Develop predictive models and analyze their performance.
- Create data visualizations to communicate findings effectively.
- Collaborate with senior data scientists on ongoing research projects.
- Participate in code reviews and contribute to project documentation.
- Learn and apply new data science techniques and tools.
- Present project findings and insights to the team.
- Contribute to the development of new data-driven features and solutions.
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
- Solid understanding of fundamental machine learning concepts and algorithms.
- Proficiency in Python and relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn).
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
- Strong analytical and problem-solving skills.
- Ability to work independently and manage time effectively in a remote setting.
- Excellent communication and collaboration skills for virtual teamwork.
- Eagerness to learn and contribute to challenging projects.
Be The First To Know
About the latest Data scientists Jobs in Kochi !
Junior Data Scientist - AI & Machine Learning
Posted 20 days ago
Job Viewed
Job Description
- Assist in data collection, cleaning, and pre-processing from various sources.
- Develop and implement machine learning models for prediction, classification, clustering, and other tasks.
- Perform exploratory data analysis (EDA) to uncover patterns and insights.
- Collaborate with senior data scientists on feature engineering and model selection.
- Evaluate model performance and identify areas for improvement.
- Utilize programming languages like Python or R, and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Contribute to the documentation of data science processes, methodologies, and findings.
- Participate in team meetings and present project updates.
- Learn and apply best practices in data science, machine learning, and MLOps.
- Gain exposure to cloud platforms and big data technologies.
- Assist in generating reports and visualizations to communicate analytical results.
- Support the development of data-driven solutions that align with business objectives.
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Solid understanding of statistical concepts and machine learning algorithms.
- Proficiency in Python or R programming languages.
- Familiarity with data science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
- Basic knowledge of databases and SQL.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and challenges.
- Previous project experience (academic or personal) in data science or machine learning is a plus.
Remote Lead Data Scientist - Machine Learning
Posted 20 days ago
Job Viewed
Job Description
Responsibilities:
- Lead and mentor a team of data scientists in developing ML solutions.
- Define and execute the machine learning strategy and roadmap.
- Design, develop, and deploy advanced machine learning models.
- Oversee the end-to-end ML lifecycle, from data to production.
- Conduct rigorous model evaluation and optimization.
- Research and apply state-of-the-art ML algorithms and techniques.
- Collaborate with stakeholders to identify business opportunities for ML.
- Ensure the scalability and efficiency of ML models in production.
- Stay current with advancements in AI and Machine Learning.
- Communicate complex findings to diverse audiences.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 7+ years of experience in data science and machine learning, with a significant focus on leading projects.
- Proven experience in developing and deploying production-level ML models.
- Expertise in various ML algorithms (e.g., regression, classification, clustering, deep learning).
- Proficiency in programming languages like Python or R and ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Experience with big data technologies (Spark, Hadoop) and cloud ML platforms.
- Strong leadership, mentoring, and team management skills.
- Excellent analytical, problem-solving, and communication abilities.
- Experience in a remote work environment is highly desirable.
Lead Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
- Leading the design, development, and implementation of advanced machine learning models.
- Researching and evaluating new ML techniques and technologies.
- Building and maintaining scalable MLOps infrastructure for model training, deployment, and monitoring.
- Collaborating with data scientists, software engineers, and product managers to integrate ML solutions.
- Mentoring and guiding a team of machine learning engineers, fostering technical growth.
- Defining and tracking key performance indicators for ML models.
- Ensuring the ethical and responsible use of AI and ML technologies.
- Contributing to the overall AI strategy and roadmap.
- Presenting findings and technical solutions to stakeholders.
- Driving innovation in areas such as deep learning, NLP, computer vision, and reinforcement learning.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 7+ years of hands-on experience in machine learning engineering or data science, with at least 2 years in a leadership role.
- Proven expertise in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn.
- Strong understanding of statistical modeling, data mining, and predictive analytics.
- Experience with cloud platforms (AWS, Azure, GCP) and ML services.
- Proficiency in MLOps practices and tools (e.g., MLflow, Kubeflow, Docker, Kubernetes).
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication and interpersonal abilities, with the capacity to explain complex technical concepts to non-technical audiences.
- Experience in leading and mentoring technical teams.
- Strong understanding of software development best practices.