The demand for What Jobs are available for Data Scientist Developer in India?
Showing 2220 Data Scientist Developer jobs in India
Data Mining Engineer Trainee
Ernakulam, Kerala
hashwave Technologies Pvt Ltd
Posted today
Job Viewed
Job Description
Thank you for your interest in joining Datahut as a Data Mining Engineer Trainee !
We’re looking for fresh graduates (2024/2025 batch – B.Tech/BSc/BCA/Diploma in CS or IT) who are strong in Python and have completed at least two hands-on portfolio projects.
About the role:
Datahut is a remote-first company, and you’ll begin by working from home. In the future, if we reopen our offices or specific projects require in-person collaboration, you may need to relocate to Kochi.
Please note:
- This opportunity is open only to candidates from Kerala.
- Fill out the application form carefully with accurate details.
- Only shortlisted candidates will be contacted for the next steps.
Application form link -
Last date to apply: 6 Nov 2025, 6 PM. Only candidates who submit the application form will be considered.
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0
Remote Data Mining Specialist - Geological Data
110001 Delhi, Delhi
₹800000 Annually
WhatJobs Direct
Posted today
Job Viewed
Job Description
Our client, a global leader in mineral exploration and extraction, is seeking a highly skilled and analytical Remote Data Mining Specialist to focus on geological data analysis. This position is fully remote, offering a unique opportunity to work with vast datasets from anywhere. You will be responsible for developing and implementing advanced data mining techniques to identify patterns, trends, and anomalies within geological and geophysical datasets. This includes processing, cleaning, and transforming large volumes of raw data to prepare it for analysis. The ideal candidate will possess strong programming skills in languages such as Python or R, with expertise in libraries relevant to data manipulation, machine learning, and statistical analysis (e.g., Pandas, NumPy, Scikit-learn). Experience with geological software and databases is a significant advantage. You will collaborate with geologists, geophysicists, and data scientists to interpret findings, generate actionable insights, and support exploration and resource estimation efforts. Key responsibilities include building predictive models, performing spatial analysis, and visualizing complex data to communicate results effectively. You should have a deep understanding of statistical methods, machine learning algorithms, and data mining principles. A Bachelor's or Master's degree in Geology, Data Science, Computer Science, Statistics, or a related quantitative field is required. Proven experience in data mining, particularly with large-scale scientific or geological datasets, is essential. The ability to work independently, manage multiple projects, and communicate technical findings clearly to both technical and non-technical audiences in a remote setting is critical. This role offers the chance to contribute to significant discoveries and optimize resource extraction processes through cutting-edge data analysis.
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1
Lead Data Mining Specialist - Remote
700016 Kolkata, West Bengal
₹1800000 Annually
WhatJobs Direct
Posted today
Job Viewed
Job Description
Our client is looking for a highly skilled and motivated Lead Data Mining Specialist to join their fully remote team. In this role, you will be at the forefront of extracting valuable insights from vast datasets, driving business decisions, and uncovering hidden patterns. You will lead a team of data professionals, mentor junior analysts, and contribute to the strategic development of data mining initiatives across the organization.
Responsibilities:
Responsibilities:
- Lead the design and implementation of data mining strategies and algorithms to identify trends, correlations, and predictive indicators within large and complex datasets.
- Develop and maintain data mining models using various statistical and machine learning techniques.
- Supervise and mentor a team of data miners and analysts, providing technical guidance and performance feedback.
- Collaborate with stakeholders across different departments to understand their data needs and translate them into actionable data mining projects.
- Identify new data sources and opportunities for data collection and integration.
- Develop robust data validation and quality assurance processes to ensure the accuracy and reliability of insights.
- Present complex findings and recommendations in a clear and concise manner to both technical and non-technical audiences.
- Stay current with the latest advancements in data mining, machine learning, and big data technologies.
- Contribute to the continuous improvement of data mining tools and methodologies.
- Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- 5+ years of progressive experience in data mining, statistical analysis, and machine learning.
- Proven experience in leading and managing a team of data professionals.
- Expertise in programming languages commonly used in data mining, such as Python or R, and associated libraries (e.g., Pandas, Scikit-learn, NumPy).
- Proficiency with SQL and experience working with large-scale databases (e.g., SQL Server, PostgreSQL, NoSQL databases).
- Familiarity with big data technologies like Hadoop, Spark, or similar distributed computing frameworks is a plus.
- Strong understanding of various data mining algorithms (e.g., clustering, classification, regression, association rules).
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to explain technical concepts to a non-technical audience.
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2
Remote Senior Data Mining Engineer
201001 Noida, Uttar Pradesh
₹130000 Annually
WhatJobs Direct
Posted today
Job Viewed
Job Description
Our client is seeking a highly experienced and motivated Senior Data Mining Engineer to join their fully remote data science team. This pivotal role focuses on extracting valuable insights from large, complex datasets to drive strategic business decisions and enhance product development. You will be instrumental in designing, developing, and implementing advanced data mining algorithms and techniques, including machine learning, statistical modeling, and predictive analytics. Your responsibilities will involve exploring diverse data sources, identifying patterns, trends, and anomalies, and transforming raw data into actionable intelligence. You will work closely with data scientists, analysts, and business stakeholders to understand their needs and translate them into robust data mining solutions. This fully remote position requires strong technical expertise in programming languages such as Python or R, proficiency with big data technologies (e.g., Hadoop, Spark), and extensive experience with SQL and NoSQL databases. The ideal candidate will have a deep understanding of various data mining methodologies and a proven ability to apply them to real-world problems. Excellent problem-solving skills, creativity, and a passion for uncovering hidden insights from data are essential. You should be adept at data visualization and be able to communicate complex findings clearly to both technical and non-technical audiences. This role offers the opportunity to work on challenging projects, leverage cutting-edge tools, and make a significant impact on our client's data-driven initiatives. Continuous learning and adaptation to new technologies are expected. The ability to work autonomously, manage your time effectively, and collaborate seamlessly within a distributed team environment is crucial. We are looking for an individual who can lead data mining projects from conception to completion, ensuring the delivery of high-quality, impactful results. This role is critical in unlocking the potential of our client's vast data assets.
Responsibilities:
Responsibilities:
- Design, develop, and implement advanced data mining algorithms and models.
- Explore and analyze large, complex datasets to identify patterns, trends, and insights.
- Develop predictive models and machine learning solutions.
- Collaborate with data scientists and stakeholders to define data mining requirements.
- Clean, transform, and prepare data for analysis.
- Develop and maintain data pipelines and ETL processes.
- Utilize big data technologies and platforms for data processing and analysis.
- Evaluate and improve the performance of data mining models.
- Communicate findings and recommendations through clear visualizations and reports.
- Stay current with the latest advancements in data mining, machine learning, and AI.
- Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related quantitative field.
- Minimum of 5 years of experience in data mining, machine learning, or data science.
- Proficiency in programming languages such as Python or R.
- Strong experience with SQL and NoSQL databases.
- Hands-on experience with big data technologies (e.g., Hadoop, Spark, Hive).
- Expertise in statistical modeling and machine learning techniques.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration abilities for remote work.
- Ability to work independently and manage project timelines effectively.
- This role is fully remote, supporting teams globally and potentially interacting with operations in Ghaziabad, Uttar Pradesh, IN .
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3
Remote Geospatial Data Scientist (Mining)
395001 Surat, Gujarat
₹90000 Annually
WhatJobs Direct
Posted today
Job Viewed
Job Description
Our client is seeking a highly analytical and experienced Remote Geospatial Data Scientist specializing in the mining sector. This is a fully remote position, offering the opportunity to leverage advanced data science techniques and geospatial analysis to support exploration and operational efficiency in the mining industry. You will be responsible for collecting, processing, and analyzing large datasets, including satellite imagery, geological surveys, and sensor data, to identify mineral deposits, optimize extraction processes, and assess environmental impacts. Key duties include developing predictive models, creating high-resolution maps, and visualizing complex spatial data using GIS software and programming languages (e.g., Python, R). The ideal candidate will possess a strong background in geology, earth sciences, or a related field, combined with expertise in data science and geospatial analysis. Proven experience with various GIS platforms (e.g., ArcGIS, QGIS), remote sensing software, and statistical modeling techniques is essential. You will work independently, collaborating virtually with geologists, engineers, and other stakeholders to provide data-driven insights and recommendations. This role requires excellent problem-solving skills, meticulous attention to detail, and the ability to communicate complex findings clearly and concisely through reports and presentations. A proactive approach to research and development, staying current with emerging technologies in geospatial analysis and data science, is highly valued. This position is ideal for a self-motivated individual who thrives in a remote work environment and is passionate about applying data science to the challenges and opportunities within the mining industry. Your expertise will be critical in informing strategic decisions, improving resource management, and driving innovation in mining operations globally, all managed from your remote location.
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4
Remote Senior Data Scientist (Mining)
302001 Jaipur, Rajasthan
₹95000 Annually
WhatJobs Direct
Posted today
Job Viewed
Job Description
Our client is seeking an exceptional Remote Senior Data Scientist with specialized expertise in the mining sector. This is a fully remote position, allowing you to leverage your analytical skills from anywhere. You will play a critical role in extracting valuable insights from vast datasets generated by mining operations, developing predictive models, and optimizing processes for efficiency, safety, and sustainability. The ideal candidate will have a strong foundation in statistics, machine learning, and data mining techniques, combined with practical experience in applying these skills to geological, operational, and financial data within the mining industry. This role demands a proactive approach, excellent problem-solving abilities, and effective communication to translate complex data findings into actionable business strategies.
Key Responsibilities:
Key Responsibilities:
- Develop and implement advanced statistical models and machine learning algorithms to analyze mining data, including geological surveys, operational efficiency metrics, and equipment performance.
- Identify trends, patterns, and correlations within large datasets to inform decision-making in exploration, extraction, and processing.
- Build predictive models for resource estimation, ore grade forecasting, and production optimization.
- Design and conduct A/B tests and experiments to evaluate the impact of process changes.
- Visualize complex data in an understandable format for stakeholders, including reports and interactive dashboards.
- Collaborate with geologists, engineers, and operations managers to understand their data needs and challenges.
- Stay abreast of the latest advancements in data science, AI, and their applications in the mining industry.
- Contribute to the development of data governance policies and best practices.
- Ensure data quality, integrity, and security throughout the analytical process.
- Communicate findings and recommendations clearly and effectively to both technical and non-technical audiences.
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Mining Engineering, or a related quantitative field.
- 5+ years of experience as a Data Scientist, with a significant focus on the mining or natural resources sector.
- Proficiency in programming languages such as Python or R, and relevant data science libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Experience with SQL and NoSQL databases.
- Strong understanding of statistical modeling, machine learning techniques (e.g., regression, classification, clustering, deep learning), and experimental design.
- Familiarity with geological data, mining operations, and relevant software (e.g., GIS, specialized mining software) is a strong plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex concepts.
- Ability to work independently and manage projects effectively in a remote environment.
- Experience with big data technologies (e.g., Hadoop, Spark) is desirable.
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5
Digital : Machine Learning Machine Learning Engineer
Karnataka, Karnataka
Tata Consultancy Services
Posted 9 days ago
Job Viewed
Job Description
TCS Hiring ! Senior Machine Learning Engineer
Role** Senior Machine Learning Engineer
Exp - 5-7
Please read Job description before Applying
NOTE: If the skills/profile matches and interested, please reply to this email by attaching your latest updated CV and with below few details:
Name:
Contact Number:
Email ID:
Highest Qualification in: (Eg. B.Tech/B.E./M.Tech/MCA/M.Sc./MS/BCA/B.Sc./Etc.)
Current Organization Name:
Total IT Experience- 5-10
Location : Bangalore Hydeerabad
Current CTC
Expected CTC
Notice period: 30 DAY S
Whether worked with TCS - Y/N
Over 5 years of experience with machine learning, especially Recommender Systems. · Strong understanding of data processing, ML infrastructure, and DevOps/MLOps. · At least 2 years with cloud technologies (preferably AWS, AWS SageMaker). · Proficient in Python, SQL, and data modeling;
Good-to-Have · DBT is a plus. · Familiarity with Spark, Airflow, PyTorch, Scikit-learn, Pandas, and Keras.
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6
Data Scientist - Machine Learning
Gurugram, Uttar Pradesh
United Airlines
Posted today
Job Viewed
Job Description
Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.
Come join us to create what's next. Let's define tomorrow, together.
**Description**
**Job overview and responsibilities**
The Data Scientist will work on United's predictive maintenance use cases. This will include collaboration with aircraft engineers to plan installation of new aircraft sensors and avionics, enhancements to existing aircraft monitoring software, deployment of new predictive models, collaboration with OEMs, integration of health monitoring into United's approved maintenance programs, and technology to provide aircraft data directly to technicians.
+ Liaison with Stakeholders in the Aircraft Health Monitoring team, Aircraft Engineering and other Data Scientists to understand the importance of several Predictive Mx use case, their executive feasibility and do a cost benefit analysis to identify the highest impact use cases that need to be prioritized
+ Work on complex Sensor data coming out of AC systems like ACARS and QAR and be able to parse out relevant information
+ Analyze the AC Maintenance and Operations data that to identify issues with critical A/C systems
+ Build, Test, Deploy and Monitor complex Machine learning algorithms that predict AC failures
+ Maintain and enhance existing model deployments to make sure they stay valuable and relevant
+ Mentor junior members of the team and stay up to date with ML advances
**This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc.**
**Qualifications**
**What's needed to succeed (Minimum Qualifications):**
+ Bachelor's degree in a quantitative field
+ Quantitative field like Math, Statistics, Operations Research, Computer Science, Engineering, Physics, or related fields
+ At least 4 years of experience in Data Science/Machine Learning/advanced analytics/optimization
+ Deep understanding of data structures, relationships, and efficient transformations
+ Familiarity with all parts of the data ecosystem -- acquisition, engineering, storage, management, analysis, visualization, and model deployment and monitoring
+ Strong Knowledge of database querying and being able to write complex queries to extract data
+ Fluent skill in python/pyspark
+ Strong knowledge of Statistical Modelling, feature engineering, testing
+ Ability to propose novel modeling approaches based on the problem being solved
+ Must be legally authorized to work in India for any employer without sponsorship
+ Must be fluent in English and Hindi (written and spoken)
+ Successful completion of interview required to meet job qualification
+ Reliable, punctual attendance is an essential function of the position
**What will help you propel from the pack (Preferred Qualifications):**
+ Master's degree in a quantitative field
+ At least 2 years experience in a project leadership role preferred
+ Airline experience or knowledge of airline operations preferred
+ Experience with anomaly detection, imbalanced classification, and time series analysis is strongly preferred
+ Able to comprehend new data sources quickly and ask the right questions
+ Quickly get comfortable with new jargon
Come join us to create what's next. Let's define tomorrow, together.
**Description**
**Job overview and responsibilities**
The Data Scientist will work on United's predictive maintenance use cases. This will include collaboration with aircraft engineers to plan installation of new aircraft sensors and avionics, enhancements to existing aircraft monitoring software, deployment of new predictive models, collaboration with OEMs, integration of health monitoring into United's approved maintenance programs, and technology to provide aircraft data directly to technicians.
+ Liaison with Stakeholders in the Aircraft Health Monitoring team, Aircraft Engineering and other Data Scientists to understand the importance of several Predictive Mx use case, their executive feasibility and do a cost benefit analysis to identify the highest impact use cases that need to be prioritized
+ Work on complex Sensor data coming out of AC systems like ACARS and QAR and be able to parse out relevant information
+ Analyze the AC Maintenance and Operations data that to identify issues with critical A/C systems
+ Build, Test, Deploy and Monitor complex Machine learning algorithms that predict AC failures
+ Maintain and enhance existing model deployments to make sure they stay valuable and relevant
+ Mentor junior members of the team and stay up to date with ML advances
**This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc.**
**Qualifications**
**What's needed to succeed (Minimum Qualifications):**
+ Bachelor's degree in a quantitative field
+ Quantitative field like Math, Statistics, Operations Research, Computer Science, Engineering, Physics, or related fields
+ At least 4 years of experience in Data Science/Machine Learning/advanced analytics/optimization
+ Deep understanding of data structures, relationships, and efficient transformations
+ Familiarity with all parts of the data ecosystem -- acquisition, engineering, storage, management, analysis, visualization, and model deployment and monitoring
+ Strong Knowledge of database querying and being able to write complex queries to extract data
+ Fluent skill in python/pyspark
+ Strong knowledge of Statistical Modelling, feature engineering, testing
+ Ability to propose novel modeling approaches based on the problem being solved
+ Must be legally authorized to work in India for any employer without sponsorship
+ Must be fluent in English and Hindi (written and spoken)
+ Successful completion of interview required to meet job qualification
+ Reliable, punctual attendance is an essential function of the position
**What will help you propel from the pack (Preferred Qualifications):**
+ Master's degree in a quantitative field
+ At least 2 years experience in a project leadership role preferred
+ Airline experience or knowledge of airline operations preferred
+ Experience with anomaly detection, imbalanced classification, and time series analysis is strongly preferred
+ Able to comprehend new data sources quickly and ask the right questions
+ Quickly get comfortable with new jargon
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7
Data Scientist - Machine Learning
Chennai, Tamil Nadu
Cognizant
Posted 2 days ago
Job Viewed
Job Description
**Job Summary**
We are seeking a highly skilled Data Scientist with 8 to 10 years of experience to join our team. The ideal candidate will have expertise in Machine Learning Artificial Intelligence and Natural Language Processing. Experience in Medicare & Medicaid Claims Claims and Payer domains is essential. This is a hybrid work model with day shifts and no travel required.
**Responsibilities**
+ Develop and implement advanced machine learning models to analyze complex datasets.
+ Utilize artificial intelligence techniques to enhance data processing and predictive analytics.
+ Apply natural language processing to extract meaningful insights from unstructured data.
+ Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
+ Conduct thorough data analysis to identify trends patterns and anomalies in Medicare & Medicaid Claims data.
+ Design and execute experiments to test hypotheses and validate models.
+ Ensure data integrity and accuracy by performing rigorous data cleaning and preprocessing.
+ Create detailed documentation of methodologies processes and findings for future reference.
+ Provide actionable insights and recommendations to stakeholders based on data analysis.
+ Optimize existing models and algorithms to improve performance and scalability.
+ Stay updated with the latest advancements in machine learning artificial intelligence and natural language processing.
+ Mentor and guide junior data scientists in best practices and advanced techniques.
+ Communicate complex technical concepts to non-technical stakeholders effectively.
**Qualifications**
+ Possess a strong background in machine learning artificial intelligence and natural language processing.
+ Have extensive experience working with Medicare & Medicaid Claims Claims and Payer domains.
+ Demonstrate proficiency in programming languages such as Python or R.
+ Exhibit excellent problem-solving skills and the ability to work independently.
+ Show strong analytical skills with the ability to interpret complex data.
+ Have experience with data visualization tools like Tableau or Power BI.
+ Possess a solid understanding of statistical analysis and modeling techniques.
+ Be familiar with cloud platforms such as AWS Azure or Google Cloud.
+ Demonstrate excellent communication and collaboration skills.
+ Have a proven track record of delivering high-quality data science projects.
+ Show the ability to manage multiple projects and meet deadlines.
+ Exhibit a continuous learning mindset and stay updated with industry trends.
+ Hold a relevant certification in data science or machine learning.
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.
We are seeking a highly skilled Data Scientist with 8 to 10 years of experience to join our team. The ideal candidate will have expertise in Machine Learning Artificial Intelligence and Natural Language Processing. Experience in Medicare & Medicaid Claims Claims and Payer domains is essential. This is a hybrid work model with day shifts and no travel required.
**Responsibilities**
+ Develop and implement advanced machine learning models to analyze complex datasets.
+ Utilize artificial intelligence techniques to enhance data processing and predictive analytics.
+ Apply natural language processing to extract meaningful insights from unstructured data.
+ Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
+ Conduct thorough data analysis to identify trends patterns and anomalies in Medicare & Medicaid Claims data.
+ Design and execute experiments to test hypotheses and validate models.
+ Ensure data integrity and accuracy by performing rigorous data cleaning and preprocessing.
+ Create detailed documentation of methodologies processes and findings for future reference.
+ Provide actionable insights and recommendations to stakeholders based on data analysis.
+ Optimize existing models and algorithms to improve performance and scalability.
+ Stay updated with the latest advancements in machine learning artificial intelligence and natural language processing.
+ Mentor and guide junior data scientists in best practices and advanced techniques.
+ Communicate complex technical concepts to non-technical stakeholders effectively.
**Qualifications**
+ Possess a strong background in machine learning artificial intelligence and natural language processing.
+ Have extensive experience working with Medicare & Medicaid Claims Claims and Payer domains.
+ Demonstrate proficiency in programming languages such as Python or R.
+ Exhibit excellent problem-solving skills and the ability to work independently.
+ Show strong analytical skills with the ability to interpret complex data.
+ Have experience with data visualization tools like Tableau or Power BI.
+ Possess a solid understanding of statistical analysis and modeling techniques.
+ Be familiar with cloud platforms such as AWS Azure or Google Cloud.
+ Demonstrate excellent communication and collaboration skills.
+ Have a proven track record of delivering high-quality data science projects.
+ Show the ability to manage multiple projects and meet deadlines.
+ Exhibit a continuous learning mindset and stay updated with industry trends.
+ Hold a relevant certification in data science or machine learning.
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.
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8
Data Scientist - Machine Learning
641001 Coimbatore, Tamil Nadu
₹1600000 Annually
WhatJobs Direct
Posted today
Job Viewed
Job Description
Our client is seeking a talented and analytical Data Scientist with a specialization in Machine Learning to join their innovative team in Coimbatore, Tamil Nadu, IN . This role will involve leveraging vast datasets to develop, implement, and deploy advanced machine learning models that drive business insights and solutions. You will work collaboratively with cross-functional teams, including engineers, product managers, and business analysts, to identify opportunities for data-driven decision-making.
Key responsibilities include designing and conducting experiments, building predictive models, and evaluating their performance using rigorous statistical methods. You will be involved in the full data science lifecycle, from data acquisition and cleaning to feature engineering, model training, and deployment. Expertise in areas such as natural language processing, computer vision, or time-series analysis will be highly valued. You will be responsible for communicating complex findings and recommendations clearly to both technical and non-technical stakeholders through compelling data visualizations and presentations. Staying abreast of the latest advancements in machine learning and artificial intelligence, and applying them to solve real-world business problems, is crucial. The ideal candidate possesses strong programming skills, a deep understanding of statistical modeling, and a proven ability to translate data into actionable strategies.
Qualifications:
Key responsibilities include designing and conducting experiments, building predictive models, and evaluating their performance using rigorous statistical methods. You will be involved in the full data science lifecycle, from data acquisition and cleaning to feature engineering, model training, and deployment. Expertise in areas such as natural language processing, computer vision, or time-series analysis will be highly valued. You will be responsible for communicating complex findings and recommendations clearly to both technical and non-technical stakeholders through compelling data visualizations and presentations. Staying abreast of the latest advancements in machine learning and artificial intelligence, and applying them to solve real-world business problems, is crucial. The ideal candidate possesses strong programming skills, a deep understanding of statistical modeling, and a proven ability to translate data into actionable strategies.
Qualifications:
- Master's or PhD in Computer Science, Statistics, Data Science, or a related quantitative field.
- Minimum of 5 years of hands-on experience in data science and machine learning.
- Proficiency in programming languages such as Python or R, and experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Strong understanding of statistical modeling, data mining, and machine learning algorithms.
- Experience with big data technologies (e.g., Spark, Hadoop) and databases (SQL, NoSQL).
- Excellent data visualization and communication skills.
- Experience working with cloud platforms (AWS, Azure, GCP) is a plus.
- Ability to work effectively in a hybrid environment, collaborating with colleagues both in-office and remotely.
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9