30 Data Science Positions jobs in Kochi
Data Science Graduate Intern
682001 Kochi, Kerala
₹15000 Monthly
WhatJobs
Posted 19 days ago
Job Viewed
Job Description
Our client, a cutting-edge technology firm, is looking for enthusiastic and bright Data Science Graduate Interns to join their innovative team in **Kochi, Kerala, IN**. This internship offers an invaluable opportunity for aspiring data scientists to gain hands-on experience in a real-world, fast-paced environment. Interns will work closely with experienced data scientists and engineers on challenging projects, applying theoretical knowledge to practical problems. Your responsibilities will include data collection, cleaning, preprocessing, and exploratory data analysis. You will assist in building and evaluating machine learning models, developing data visualizations, and contributing to the documentation of findings. The program emphasizes learning and development, providing exposure to various data science techniques, tools, and methodologies. Interns will have the chance to work with large datasets and contribute to projects that have a tangible impact on the business. We are seeking candidates who have a strong foundation in statistics, mathematics, and computer science, with a keen interest in data analysis and machine learning. Proficiency in programming languages such as Python or R, and familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn), are essential. Excellent problem-solving skills, attention to detail, and a collaborative spirit are highly valued. This is a fantastic stepping stone for individuals looking to launch a career in data science. The internship duration is typically 3-6 months, with the possibility of extension or full-time employment based on performance. Join us and be part of a team that is driving innovation through data-driven insights and cutting-edge analytical solutions in the vibrant city of **Kochi, Kerala, IN**.
This advertiser has chosen not to accept applicants from your region.
0
Remote Graduate Trainee - Data Science
682001 Kochi, Kerala
₹30000 Monthly
WhatJobs
Posted 20 days ago
Job Viewed
Job Description
Our client, a forward-thinking data analytics firm, is excited to offer a fully remote Graduate Trainee position in Data Science. This program is designed for recent graduates eager to kick-start their careers in a cutting-edge field. As a Graduate Trainee, you will gain hands-on experience in various aspects of data science, including data cleaning, analysis, visualization, and model development. You will work closely with experienced data scientists on real-world projects, contributing to valuable insights that drive business decisions. The ideal candidate is a highly motivated individual with a strong analytical mindset and a foundational understanding of statistics, programming (Python or R), and data manipulation. Responsibilities include assisting in data collection and preprocessing, performing exploratory data analysis, helping to build predictive models, and contributing to the creation of data visualizations and reports. You will have the opportunity to learn about different machine learning algorithms, data warehousing concepts, and business intelligence tools. This remote internship requires strong self-discipline, excellent communication skills, and a willingness to learn and adapt. You will collaborate with team members through virtual meetings and project management tools. This is an excellent opportunity to gain practical experience, develop your skills, and potentially secure a full-time position upon successful completion of the training program. We are looking for enthusiastic individuals who are passionate about data and eager to make a tangible impact.
Responsibilities:
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.
This advertiser has chosen not to accept applicants from your region.
1
Data Science Intern - AI/ML Focus
682001 Kochi, Kerala
₹20000 Monthly
WhatJobs
Posted 8 days ago
Job Viewed
Job Description
Our client is offering an exciting opportunity for a motivated and aspiring Data Science Intern to gain hands-on experience in the field of Artificial Intelligence and Machine Learning. This internship is designed for students pursuing a Bachelor's or Master's degree in a quantitative field, seeking practical exposure to real-world data challenges. You will work closely with our experienced data science team in Kochi, Kerala, IN , contributing to various projects that involve data analysis, model development, and deployment. The ideal candidate possesses a strong foundational understanding of statistical concepts, programming (preferably Python), and basic machine learning algorithms. You will assist in data cleaning, preprocessing, feature engineering, and model training. This role involves collaborating with senior data scientists, participating in team meetings, and learning about the entire data science lifecycle. Responsibilities include collecting and analyzing datasets, visualizing data to identify trends, implementing and evaluating machine learning models, and documenting your findings. Opportunities may arise to contribute to natural language processing (NLP), computer vision, or predictive modeling projects depending on your interests and team needs. This is a hybrid role, requiring some on-site presence for team collaboration and mentorship, with flexibility for remote work. A proactive attitude, a keen desire to learn, and excellent communication skills are essential. This internship provides a valuable learning experience, offering exposure to cutting-edge AI/ML techniques and the opportunity to build a portfolio of work. We are looking for enthusiastic individuals eager to apply their academic knowledge to solve practical business problems and contribute to innovative solutions.
Responsibilities:
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.
This advertiser has chosen not to accept applicants from your region.
2
Senior Technical Sourcer - Data Science & AI
682001 Kochi, Kerala
₹70000 Annually
WhatJobs
Posted 20 days ago
Job Viewed
Job Description
Our client, a premier recruitment consultancy, is looking for a highly skilled and motivated Senior Technical Sourcer to join their collaborative team in Kochi. This role is central to identifying and engaging top-tier talent in the highly competitive fields of Data Science and Artificial Intelligence for a range of innovative clients. You will be adept at utilizing advanced sourcing methodologies, building candidate pipelines, and effectively screening potential hires to match them with cutting-edge opportunities. The ideal candidate will have a deep understanding of the Data Science and AI landscape, exceptional Boolean search skills, and a passion for connecting highly specialized professionals with challenging roles. This position requires a blend of in-office synergy and remote flexibility, allowing for focused sourcing and team collaboration.
Key Responsibilities:
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.
This advertiser has chosen not to accept applicants from your region.
3
AIML Data Scientist
Kochi, Kerala
Cognizant
Posted 1 day ago
Job Viewed
Job Description
**Role - AIML Data Scientist**
**Experience: 6 to 9 years**
**Job Description:**
1. Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges
a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem
b. Improve Model accuracy to deliver greater business impact
c. Estimate business impact due to deployment of model
2. Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge
3. Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development - Python / R / SQL / Cloud data pipelines
4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch
5. Experience in using Deep learning models with text, speech, image and video data
a. Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc
b. Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV
c. Knowledge of State of the art Deep learning algorithms
6. Optimize and tune Deep Learnings model for best possible accuracy
7. Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau
8. Work with application teams, in deploying models on cloud as a service or on-prem
a. Deployment of models in Test / Control framework for tracking
b. Build CI/CD pipelines for ML model deployment
9. Integrating AI&ML models with other applications using REST APIs and other connector technologies
10. Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.
· Technology/Subject Matter Expertise
· Sufficient expertise in machine learning, mathematical and statistical sciences
· Use of versioning & Collaborative tools like Git / Github
· Good understanding of landscape of AI solutions - cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
· Develop prototype level ideas into a solution that can scale to industrial grade strength
· Ability to quantify & estimate the impact of ML models
·
· Softskills Profile
+ Curiosity to think in fresh and unique ways with the intent of breaking new ground.
+ Must have the ability to share, explain and "sell" their thoughts, processes, ideas and opinions, even outside their own span of control
+ Ability to think ahead, and anticipate the needs for solving the problem will be important
· Ability to communicate key messages effectively, and articulate strong opinions in large forums
· **Desirable Experience:**
· Keen contributor to open source communities, and communities like Kaggle
· Ability to process Huge amount of Data using Pyspark/Hadoop
· Development & Application of Reinforcement Learning
· Knowledge of Optimization/Genetic Algorithms
· Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
· Optimize and tune deep learning model for best possible accuracy
· Understanding of stream data processing, RPA, edge computing, AR/VR etc
· Appreciation of digital ethics, data privacy will be important
· Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
· Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
**Experience: 6 to 9 years**
**Job Description:**
1. Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges
a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem
b. Improve Model accuracy to deliver greater business impact
c. Estimate business impact due to deployment of model
2. Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge
3. Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development - Python / R / SQL / Cloud data pipelines
4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch
5. Experience in using Deep learning models with text, speech, image and video data
a. Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc
b. Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV
c. Knowledge of State of the art Deep learning algorithms
6. Optimize and tune Deep Learnings model for best possible accuracy
7. Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau
8. Work with application teams, in deploying models on cloud as a service or on-prem
a. Deployment of models in Test / Control framework for tracking
b. Build CI/CD pipelines for ML model deployment
9. Integrating AI&ML models with other applications using REST APIs and other connector technologies
10. Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.
· Technology/Subject Matter Expertise
· Sufficient expertise in machine learning, mathematical and statistical sciences
· Use of versioning & Collaborative tools like Git / Github
· Good understanding of landscape of AI solutions - cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
· Develop prototype level ideas into a solution that can scale to industrial grade strength
· Ability to quantify & estimate the impact of ML models
·
· Softskills Profile
+ Curiosity to think in fresh and unique ways with the intent of breaking new ground.
+ Must have the ability to share, explain and "sell" their thoughts, processes, ideas and opinions, even outside their own span of control
+ Ability to think ahead, and anticipate the needs for solving the problem will be important
· Ability to communicate key messages effectively, and articulate strong opinions in large forums
· **Desirable Experience:**
· Keen contributor to open source communities, and communities like Kaggle
· Ability to process Huge amount of Data using Pyspark/Hadoop
· Development & Application of Reinforcement Learning
· Knowledge of Optimization/Genetic Algorithms
· Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
· Optimize and tune deep learning model for best possible accuracy
· Understanding of stream data processing, RPA, edge computing, AR/VR etc
· Appreciation of digital ethics, data privacy will be important
· Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
· Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
This advertiser has chosen not to accept applicants from your region.
4
Junior Data Scientist
682001 Kochi, Kerala
₹30000 Monthly
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
Our client, a cutting-edge technology firm specializing in artificial intelligence and machine learning solutions, is seeking a motivated and intellectually curious Junior Data Scientist to join their innovative team in Kochi, Kerala, IN . This is an excellent internship opportunity for recent graduates or individuals early in their data science careers to gain hands-on experience in a dynamic research and development environment. The intern will work closely with senior data scientists and engineers on real-world projects, contributing to data analysis, model development, and algorithm implementation. The role involves exploring large datasets, extracting meaningful insights, building predictive models, and assisting in the deployment of data-driven solutions. The ideal candidate will possess a strong foundation in statistics, programming, and machine learning principles, along with a passion for solving complex problems with data.
Key Responsibilities:
Key Responsibilities:
- Assist in collecting, cleaning, and pre-processing large datasets from various sources.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Develop and implement statistical models and machine learning algorithms for predictive analysis and pattern recognition.
- Collaborate with senior data scientists to design experiments and evaluate model performance.
- Write clean, efficient, and well-documented code in Python or R for data analysis and model building.
- Visualize data and model results to communicate findings effectively to technical and non-technical stakeholders.
- Contribute to the development and testing of data pipelines and feature engineering processes.
- Participate in team meetings, present findings, and provide insights on data-related challenges.
- Stay updated with the latest advancements in data science, machine learning, and artificial intelligence.
- Assist in the documentation of methodologies, processes, and results.
- Support the team in deploying models into production environments.
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Strong understanding of statistical concepts and probability theory.
- Proficiency in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) or R.
- Familiarity with database querying languages like SQL.
- Basic knowledge of machine learning algorithms (e.g., regression, classification, clustering).
- Excellent analytical and problem-solving skills.
- Good communication and interpersonal skills, with the ability to work effectively in a team.
- Eagerness to learn and adapt to new technologies and methodologies.
- Previous internship or project experience in data analysis or machine learning is a plus.
- Understanding of data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is beneficial.
This advertiser has chosen not to accept applicants from your region.
5
Junior Data Scientist
682001 Kochi, Kerala
₹25000 Monthly
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client, a fast-growing tech startup, is looking for an enthusiastic and talented Junior Data Scientist to join their remote team. This is an excellent internship opportunity for a recent graduate or an individual looking to kickstart their career in data science. You will work closely with senior data scientists and engineers, contributing to various projects involving data analysis, machine learning model development, and data visualization. This fully remote position offers the flexibility to work from anywhere, providing invaluable hands-on experience in a dynamic and innovative environment.
Key Responsibilities:
Key Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets from various sources.
- Perform exploratory data analysis (EDA) to uncover trends, patterns, and insights.
- Develop and implement machine learning models under the guidance of senior team members.
- Evaluate model performance and iterate on improvements.
- Create compelling data visualizations and dashboards to communicate findings to stakeholders.
- Collaborate with engineering teams to integrate data science solutions into products and services.
- Contribute to the documentation of data analysis processes and model methodologies.
- Stay updated on the latest advancements and techniques in data science and machine learning.
- Participate in team meetings and contribute to brainstorming sessions.
- Assist in A/B testing and experimental design.
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Strong foundation in statistical concepts and machine learning algorithms.
- Proficiency in programming languages such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.
- Excellent analytical and problem-solving skills.
- Strong communication skills, with the ability to explain technical concepts clearly.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and a passion for data-driven problem-solving.
- Must be available for the duration of the internship and willing to work remotely from **Kochi, Kerala** or any other location.
This advertiser has chosen not to accept applicants from your region.
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6
Junior Data Scientist
682018 Kochi, Kerala
₹40000 Monthly
WhatJobs
Posted 9 days ago
Job Viewed
Job Description
Our client is offering an exciting fully remote internship opportunity for a motivated Junior Data Scientist to join their innovative analytics team. This internship is designed to provide hands-on experience in applying data science techniques to real-world business problems. As a Junior Data Scientist intern, you will work closely with experienced data scientists, contributing to various stages of the data analysis process. Your responsibilities will include data cleaning, preprocessing, exploratory data analysis, and assisting in the development and validation of predictive models. You will gain exposure to a wide range of tools and technologies used in data science, such as Python, R, SQL, and various machine learning libraries. The ideal candidate is a current student or recent graduate pursuing a degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field. You should possess a strong foundation in statistical concepts and programming. Familiarity with data visualization techniques and an eagerness to learn are highly valued. While prior professional experience is not strictly required, personal projects or academic coursework demonstrating data analysis skills will be a plus. This remote internship requires strong communication skills, self-discipline, and the ability to work effectively in a virtual team environment. You will be expected to manage your time efficiently, actively participate in team meetings, and seek guidance when needed. This is an excellent opportunity to build your skills, gain valuable industry experience, and contribute to meaningful projects within a supportive and collaborative remote setting.
Responsibilities:
Responsibilities:
- Assist in data cleaning and preprocessing tasks.
- Perform exploratory data analysis to uncover insights.
- Support the development of machine learning models.
- Collaborate with senior data scientists on assigned projects.
- Learn and apply statistical analysis techniques.
- Contribute to data visualization efforts.
- Participate in team meetings and discussions.
- Document analytical processes and findings.
- Gain practical experience with data science tools and platforms.
- Help prepare data for modeling and reporting.
This advertiser has chosen not to accept applicants from your region.
7
Junior Data Scientist
682007 Kochi, Kerala
₹30000 Monthly
WhatJobs
Posted 10 days ago
Job Viewed
Job Description
Our client, a cutting-edge analytics firm, is actively recruiting motivated Junior Data Scientists for an internship position. This role is fully remote, providing a valuable opportunity for aspiring data professionals to gain hands-on experience in a dynamic, data-driven environment. You will work alongside experienced data scientists on real-world projects, assisting with data collection, cleaning, analysis, and the development of predictive models. The ideal candidate is a recent graduate or a current Master's/Ph.D. student with a strong foundation in statistics, mathematics, and computer science. Proficiency in programming languages such as Python or R, and familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow) are essential. You will contribute to projects involving data visualization, feature engineering, model training, and performance evaluation. Responsibilities include assisting in the exploration of large datasets, identifying patterns and trends, and supporting the development of data-driven insights and recommendations. You will also collaborate with team members, document your work, and present findings to stakeholders. This remote internship requires excellent problem-solving skills, a keen analytical mindset, and a passion for uncovering insights from data. Strong communication skills are necessary for effective virtual collaboration and reporting. A Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field is required. Previous exposure to data analysis projects, Kaggle competitions, or personal projects demonstrating your data science capabilities will be highly regarded. This is an excellent stepping stone for individuals looking to launch a career in data science, offering exposure to industry best practices and mentorship from seasoned professionals. Join us to contribute to innovative data solutions and build your expertise in a supportive, remote setting.
This advertiser has chosen not to accept applicants from your region.
8
Principal Data Scientist
682001 Kochi, Kerala
₹180000 Monthly
WhatJobs
Posted 11 days ago
Job Viewed
Job Description
Our client is looking for a visionary and highly experienced Principal Data Scientist to lead cutting-edge data initiatives. This senior role involves designing, developing, and deploying advanced analytical models and machine learning solutions to solve complex business problems. You will leverage large datasets to extract actionable insights, drive product innovation, and optimize operational efficiency. The ideal candidate will possess a strong academic background in a quantitative field, extensive practical experience in data science and machine learning, and a proven ability to mentor junior team members and communicate technical findings to non-technical stakeholders. You will be at the forefront of shaping data-driven strategies.
Key Responsibilities:
Qualifications:
This leadership role is based in Kochi, Kerala, IN , offering a hybrid work model to foster collaboration and flexibility.
Key Responsibilities:
- Lead the design, development, and implementation of sophisticated machine learning models and algorithms.
- Explore and analyze large, complex datasets to identify trends, patterns, and insights that can drive business value.
- Develop predictive models, classification algorithms, and recommendation systems.
- Collaborate with engineering teams to deploy models into production environments and monitor their performance.
- Translate complex business problems into data science solutions.
- Mentor and guide junior data scientists and analysts.
- Communicate findings and recommendations effectively to technical and non-technical audiences, including senior leadership.
- Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
- Develop and maintain robust data pipelines and ensure data quality.
- Contribute to the overall data strategy and roadmap of the organization.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- 10+ years of hands-on experience in data science, machine learning, and statistical modeling.
- Expert proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy).
- Deep understanding of machine learning algorithms (e.g., regression, classification, clustering, deep learning) and their applications.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Proficiency in SQL and experience working with relational and NoSQL databases.
- Strong data visualization skills (e.g., Matplotlib, Seaborn, Tableau).
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts clearly.
- Proven leadership experience, including mentoring junior team members.
This leadership role is based in Kochi, Kerala, IN , offering a hybrid work model to foster collaboration and flexibility.
This advertiser has chosen not to accept applicants from your region.
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