What Jobs are available for Data Science Analyst in Delhi?
Showing 86 Data Science Analyst jobs in Delhi
Data Scientist
Delhi, Delhi
Fiddlehead Technology
Posted 8 days ago
Job Viewed
Job Description
Role: Data Scientist, Delhi (Gurugram), India - Salary Band P2
Fiddlehead Technology is a Canadian leader in advanced analytics and AI-driven solutions, helping global companies unlock value from their data. We specialize in applying machine learning, predictive forecasting, and Generative AI to solve complex business problems and empower smarter decision-making.
Our culture thrives on innovation, collaboration, and continuous learning. We invest in our people by offering structured opportunities for professional development, a healthy work-life balance, and exposure to cutting-edge AI/ML projects across industries. At Fiddlehead, employees are encouraged to explore, create, and grow while contributing to high-impact solutions.
Fiddlehead Technology is a data science company with over 10 years of experience helping
consumer-packaged goods (CPG) companies harness the power of machine learning and
AI. We transform data into actionable insights, building predictive models that drive
efficiency, growth, and competitive advantage. With increasing demand for our solutions,
we’re expanding our global team.
We are seeking Data Scientists to collaborate with our team based in Canada in developing
advanced forecasting models and optimization algorithms for leading CPG manufacturers
and service providers. In this role, you’ll monitor model performance in production,
addressing challenges like data drift and concept drift, while delivering data-driven insights
that shape business decisions.
What You’ll Bring
• Education and/or professional experience in data science and forecasting
• Proficiency with forecasting tools and libraries, ideally in Python
• Knowledge of machine learning and statistical concepts
• Strong analytical and problem-solving abilities
• Ability to communicate complex findings to non-technical stakeholders
• High attention to detail and data accuracy
• Degree in Statistics, Data Science, Computer Science, Engineering, or related field
(Bachelor’s, Master’s, or PhD)
At Fiddlehead, you’ll work on meaningful projects that advance predictive forecasting and
sustainability in the CPG industry. We offer a collaborative, inclusive, and supportive
environment that prioritizes professional development, work-life balance, and continuous
learning. Our team members enjoy dedicated time to expand their skills while contributing
to innovative solutions with real-world impact.
We carefully review every application and are committed to providing a response. Candidates selected will be invited to an in-person or virtual interview. To ensure equal access, we provide accommodations during the recruitment process for applicants with disabilities. If you require accommodations, please reach out to our team through the contact page on our website. At Fiddlehead, we are dedicated to fostering an inclusive and accessible environment where every employee and customer is respected, valued, and supported. We welcome applications from women, Indigenous peoples, persons with disabilities, ethnic and visible minorities, members of the LGBT+ community, and others who can help enrich the diversity of our workforce.
We offer a competitive compensation package with performance-based incentives and opportunities to contribute to impactful projects. Employees benefit from mentorship, training, and active participation in AI communities, all within a collaborative culture that values innovation, creativity, and professional growth.
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0
Data Scientist/Engineer
New Delhi, Delhi
Cayuse Holdings
Posted 5 days ago
Job Viewed
Job Description
**Overview**
**Job** **Title:** Data Scientist/Engineer
**Location:** Remote
**Type:** Corp to Corp
**Start** **Date:** ASAP
**Pay Rate:** $28-$0 per hour
**Contract Length:** 12 months - potential conversion to FTE
We are seeking a highly skilled and motivated Data Scientist/Engineer to join our dynamic and innovative team. The ideal candidate will have hands-on experience designing, building, and maintaining scalable data processing pipelines, implementing machine learning solutions, and ensuring data quality across the organization. This role requires a strong technical foundation in Azure cloud platforms, data engineering, and applied data science to support critical business decisions and technological advancements.
**Responsibilities**
**Data Engineering**
+ Build and Maintain Data Pipelines: Develop and manage scalable data pipelines using Azure Data Factory, Azure Synapse Analytics, or Azure Databricks to process large volumes of data.
+ Data Quality and Transformation: Ensure the transformation, cleansing, and ingestion of data from a wide range of structured and unstructured sources with appropriate error handling.
+ Optimize Data Storage: Utilize and optimize data storage solutions, such as Azure Data Lake and Blob Storage, to ensure cost-effective and efficient data storage practices.
**Machine Learning Support**
+ Collaboration with ML Engineers and Architects: Work with Machine Learning Engineers and Solution Architects to seamlessly deploy machine learning models into production environments.
+ Automated Retraining Pipelines: Build automated systems to monitor model performance, detect model drift, and trigger retraining processes as needed.
+ Experiment Reproducibility: Ensure reproducibility of ML experiments by maintaining proper version control for models, data, and code.
**Data Analysis and Preprocessing**
+ Data Ingestion and Exploration: Ingest, explore, and preprocess both structured and unstructured data with tools such as:
+ Azure Data Lake Storage
+ Azure Synapse Analytics
+ Azure Data Factory
+ Exploratory Data Analysis (EDA): Perform exploratory data analysis using notebooks like Azure Machine Learning Notebooks or Azure Databricks to derive actionable insights.
+ Data Quality Assessments: Identify data anomalies, evaluate data quality, and recommend appropriate data cleansing or remediation strategies.
**General Responsibilities**
+ Pipeline Monitoring and Optimization: Continuously monitor the performance of data pipelines and workloads, identifying opportunities for optimization and improvement.
+ Collaboration and Communication: Communicate findings and technical requirements effectively with cross-functional teams, including data scientists, software engineers, and business stakeholders.
+ Documentation: Document all data workflows, experiments, and model implementations to facilitate knowledge sharing and maintain continuity of operations.
**Qualifications**
+ Proven experience in building and managing data pipelines using Azure Data Factory, Azure Synapse Analytics, or Databricks.
+ Strong knowledge of Azure storage solutions, including Azure Data Lake and Blob Storage.
+ Familiarity with data transformation, ingestion techniques, and data quality methodologies.
+ Proficiency in programming languages such as Python or Scala for data processing and ML integration.
+ Experience in exploratory data analysis and working with notebooks like Jupyter, Azure Machine Learning Notebooks, or Azure Databricks.
+ Solid understanding of machine learning lifecycle management and model deployment in production environments.
+ Strong problem-solving skills with experience detecting and addressing data anomalies.
**Other Duties:** _Please note this job description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice._
_Cayuse is an Equal Opportunity Employer. All employment decisions are based on merit, qualifications, skills, and abilities. All qualified applicants will receive consideration for employment in accordance with any applicable federal, state, or local l_ _aw._
**Pay Range**
USD 28.00 - USD 30.00 /Hr.
Submit a Referral ( find the right opportunity?**
Join ourTalent Community ( orLanguage Services Talent Community ( and be among the first to discover exciting new possibilities!
**Location** _IN-New Delhi_
**ID** _ _
**Category** _Information Technology_
**Position Type** _Independent Contractor_
**Remote** _Yes_
**Clearance Required** _None_
**Job** **Title:** Data Scientist/Engineer
**Location:** Remote
**Type:** Corp to Corp
**Start** **Date:** ASAP
**Pay Rate:** $28-$0 per hour
**Contract Length:** 12 months - potential conversion to FTE
We are seeking a highly skilled and motivated Data Scientist/Engineer to join our dynamic and innovative team. The ideal candidate will have hands-on experience designing, building, and maintaining scalable data processing pipelines, implementing machine learning solutions, and ensuring data quality across the organization. This role requires a strong technical foundation in Azure cloud platforms, data engineering, and applied data science to support critical business decisions and technological advancements.
**Responsibilities**
**Data Engineering**
+ Build and Maintain Data Pipelines: Develop and manage scalable data pipelines using Azure Data Factory, Azure Synapse Analytics, or Azure Databricks to process large volumes of data.
+ Data Quality and Transformation: Ensure the transformation, cleansing, and ingestion of data from a wide range of structured and unstructured sources with appropriate error handling.
+ Optimize Data Storage: Utilize and optimize data storage solutions, such as Azure Data Lake and Blob Storage, to ensure cost-effective and efficient data storage practices.
**Machine Learning Support**
+ Collaboration with ML Engineers and Architects: Work with Machine Learning Engineers and Solution Architects to seamlessly deploy machine learning models into production environments.
+ Automated Retraining Pipelines: Build automated systems to monitor model performance, detect model drift, and trigger retraining processes as needed.
+ Experiment Reproducibility: Ensure reproducibility of ML experiments by maintaining proper version control for models, data, and code.
**Data Analysis and Preprocessing**
+ Data Ingestion and Exploration: Ingest, explore, and preprocess both structured and unstructured data with tools such as:
+ Azure Data Lake Storage
+ Azure Synapse Analytics
+ Azure Data Factory
+ Exploratory Data Analysis (EDA): Perform exploratory data analysis using notebooks like Azure Machine Learning Notebooks or Azure Databricks to derive actionable insights.
+ Data Quality Assessments: Identify data anomalies, evaluate data quality, and recommend appropriate data cleansing or remediation strategies.
**General Responsibilities**
+ Pipeline Monitoring and Optimization: Continuously monitor the performance of data pipelines and workloads, identifying opportunities for optimization and improvement.
+ Collaboration and Communication: Communicate findings and technical requirements effectively with cross-functional teams, including data scientists, software engineers, and business stakeholders.
+ Documentation: Document all data workflows, experiments, and model implementations to facilitate knowledge sharing and maintain continuity of operations.
**Qualifications**
+ Proven experience in building and managing data pipelines using Azure Data Factory, Azure Synapse Analytics, or Databricks.
+ Strong knowledge of Azure storage solutions, including Azure Data Lake and Blob Storage.
+ Familiarity with data transformation, ingestion techniques, and data quality methodologies.
+ Proficiency in programming languages such as Python or Scala for data processing and ML integration.
+ Experience in exploratory data analysis and working with notebooks like Jupyter, Azure Machine Learning Notebooks, or Azure Databricks.
+ Solid understanding of machine learning lifecycle management and model deployment in production environments.
+ Strong problem-solving skills with experience detecting and addressing data anomalies.
**Other Duties:** _Please note this job description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice._
_Cayuse is an Equal Opportunity Employer. All employment decisions are based on merit, qualifications, skills, and abilities. All qualified applicants will receive consideration for employment in accordance with any applicable federal, state, or local l_ _aw._
**Pay Range**
USD 28.00 - USD 30.00 /Hr.
Submit a Referral ( find the right opportunity?**
Join ourTalent Community ( orLanguage Services Talent Community ( and be among the first to discover exciting new possibilities!
**Location** _IN-New Delhi_
**ID** _ _
**Category** _Information Technology_
**Position Type** _Independent Contractor_
**Remote** _Yes_
**Clearance Required** _None_
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1
Data Scientist - 17843
Delhi, Delhi
Turing
Posted 5 days ago
Job Viewed
Job Description
A U.S.-based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives.
Job Responsibilities:
- Develop and optimize Python-based data science solutions using public datasets.
- Conduct peer code reviews, ensuring best practices and optimization techniques are followed.
- Work closely with researchers and stakeholders to align solutions with company goals.
- Create well-documented Python code using Jupyter notebooks.
Job Requirements:
- Bachelor’s/Master’s degree in Engineering, Computer Science, or equivalent experience.
- Knowledge of Python programming for data analysis.
- Strong understanding of data science methodologies and analysis techniques.
- Fluent in spoken and written English.
- A minimum 5-hour work overlap with PST/PT is required.
- Strong problem-solving and analytical skills.
Job Benefits:
- Work with global experts in AI and data science.
- This is a contractual remote work opportunity without traditional job constraints.
- Competitive global-standard salary in USD.
- Contribute to cutting-edge projects shaping the future of AI.
Selection Process:
- Shortlisted developers may be asked to complete an assessment.
- If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
- Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.
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2
Data Scientist - 17843
Delhi, Delhi
Turing
Posted 5 days ago
Job Viewed
Job Description
A U.S.-based company specializing in AI-driven solutions is hiring Data Scientists to collaborate on cutting-edge commercial and research AI projects. This opportunity is ideal for professionals passionate about innovation and pushing the boundaries of AI technology. In this role, you will conduct in-depth peer code reviews, provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives.
Job Responsibilities:
- Develop and optimize Python-based data science solutions using public datasets.
- Conduct peer code reviews, ensuring best practices and optimization techniques are followed.
- Work closely with researchers and stakeholders to align solutions with company goals.
- Create well-documented Python code using Jupyter notebooks.
Job Requirements:
- Bachelor’s/Master’s degree in Engineering, Computer Science, or equivalent experience.
- Knowledge of Python programming for data analysis.
- Strong understanding of data science methodologies and analysis techniques.
- Fluent in spoken and written English.
- A minimum 5-hour work overlap with PST/PT is required.
- Strong problem-solving and analytical skills.
Job Benefits:
- Work with global experts in AI and data science.
- This is a contractual remote work opportunity without traditional job constraints.
- Competitive global-standard salary in USD.
- Contribute to cutting-edge projects shaping the future of AI.
Selection Process:
- Shortlisted developers may be asked to complete an assessment.
- If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates.
- Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment.
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3
Senior Data Scientist
110002 Delhi, Delhi
₹1200000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client is looking for a brilliant Senior Data Scientist to join their advanced analytics team in Delhi, Delhi, IN . This role is crucial in extracting actionable insights from complex datasets, driving data-informed decision-making across the organization. You will be responsible for developing and deploying sophisticated machine learning models, conducting in-depth statistical analysis, and building predictive algorithms to solve challenging business problems. The ideal candidate will have a strong foundation in statistics, machine learning, and programming, coupled with a keen business acumen. You will work collaboratively with data engineers, analysts, and business stakeholders to understand their needs and translate them into data science solutions. Key responsibilities include data exploration and cleaning, feature engineering, model selection and training, validation, and deployment. You will also be tasked with communicating findings and insights effectively to both technical and non-technical audiences through compelling visualizations and clear narratives. This hybrid role will allow for collaboration with colleagues in the office while also providing flexibility for remote work. You will be expected to contribute to team meetings and strategy sessions, both virtually and in person. Proactive engagement and a passion for uncovering data-driven solutions are essential.
Qualifications:
Qualifications:
- Master's or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field.
- 5+ years of experience in data science and machine learning.
- Proficiency in programming languages such as Python or R, and relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Strong understanding of statistical modeling, machine learning algorithms, and experimental design.
- Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
- Ability to visualize and communicate complex data findings effectively.
- Excellent analytical and problem-solving skills.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
- Strong communication and collaboration skills, with experience in a hybrid work environment.
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4
Senior Data Scientist
110001 Delhi, Delhi
₹2000000 Annually
WhatJobs
Posted 14 days ago
Job Viewed
Job Description
Our client, a leading innovator in artificial intelligence and machine learning, is looking for a highly skilled Senior Data Scientist to join their research and development team based in Delhi, Delhi, IN . This exciting role offers the opportunity to work on cutting-edge projects that have a significant impact on our industry. The ideal candidate will possess a strong theoretical foundation in statistics, machine learning, and data mining, coupled with extensive practical experience in developing and deploying predictive models. You will be responsible for exploring complex datasets, identifying patterns, and building robust models to solve challenging business problems. This includes designing experiments, evaluating model performance, and communicating insights to both technical and non-technical stakeholders. Key responsibilities involve collaborating with product managers and engineers to define project requirements, developing algorithms, and contributing to the entire data science lifecycle from data collection and preprocessing to model deployment and monitoring. Strong programming skills in Python or R, along with experience in relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch), are essential. Experience with big data technologies and cloud platforms (AWS, Azure, GCP) is highly desirable. A Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field is required, along with a minimum of 5 years of relevant industry experience. We are seeking individuals who are passionate about data, possess strong problem-solving skills, and thrive in a collaborative research environment.
Responsibilities:
Responsibilities:
- Develop and implement advanced statistical and machine learning models to solve complex business problems.
- Analyze large, complex datasets to identify patterns, trends, and insights.
- Design and execute experiments to test hypotheses and evaluate model performance.
- Collaborate with engineering teams to deploy models into production environments.
- Communicate findings, insights, and recommendations to stakeholders through clear visualizations and presentations.
- Stay abreast of the latest research and advancements in data science, machine learning, and artificial intelligence.
- Mentor junior data scientists and contribute to the team's knowledge sharing.
- Work with product management to define data science project roadmaps and requirements.
- Clean, process, and transform data for modeling purposes.
- Develop and maintain data pipelines and analytical tools.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- 5+ years of hands-on experience in data science and machine learning.
- Proficiency in Python or R, including experience with data science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
- Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
- Proven ability to work independently and as part of a collaborative team.
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5
Lead Data Scientist
110001 Delhi, Delhi
₹2000000 Annually
WhatJobs
Posted 16 days ago
Job Viewed
Job Description
Our client, a leading analytics firm, is seeking an innovative and experienced Lead Data Scientist to spearhead their advanced analytics initiatives. This on-site role, based in **Delhi, Delhi, IN**, offers the opportunity to lead a team of talented data professionals and tackle complex business challenges using cutting-edge machine learning and statistical modeling techniques. You will be responsible for defining the data science roadmap, guiding the development of predictive models, and translating complex analytical insights into actionable business strategies. The ideal candidate possesses a strong blend of technical expertise, leadership acumen, and a proven ability to drive impactful data-driven decisions. This is a pivotal role for someone looking to shape the future of data science within a growing organization.
Responsibilities:
Responsibilities:
- Lead and mentor a team of data scientists, fostering a culture of innovation and technical excellence.
- Define and execute the data science strategy, aligning with business objectives.
- Design, develop, and deploy sophisticated machine learning models for various applications, including prediction, classification, and clustering.
- Extract, clean, and transform large, complex datasets from multiple sources.
- Conduct exploratory data analysis to identify patterns, trends, and insights.
- Evaluate model performance and iterate on solutions to improve accuracy and efficiency.
- Collaborate with business stakeholders to understand challenges and translate them into data science problems.
- Communicate complex findings and recommendations clearly and effectively to both technical and non-technical audiences.
- Stay abreast of the latest advancements in data science, machine learning, and AI.
- Develop and maintain documentation for data science models and methodologies.
- Contribute to the development of data infrastructure and tools.
- Oversee project management for data science initiatives, ensuring timely delivery.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 8+ years of experience in data science and machine learning, with a proven track record of delivering successful projects.
- 5+ years of experience in a leadership or management role, guiding data science teams.
- Proficiency in programming languages such as Python or R, and associated data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong experience with SQL and working with large-scale databases.
- Deep understanding of statistical modeling, machine learning algorithms, and data mining techniques.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication and presentation abilities.
- Ability to work collaboratively in a team-oriented environment.
- Experience in cloud platforms (AWS, Azure, GCP) for data science workloads is advantageous.
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6
Graduate Data Scientist
110001 Delhi, Delhi
₹50000 month (stip
WhatJobs
Posted 16 days ago
Job Viewed
Job Description
Our client, a pioneering data analytics firm, is offering an exceptional remote Graduate Program for aspiring Data Scientists, based in Delhi, Delhi, IN . This program is meticulously designed to provide recent graduates with intensive training, hands-on experience, and mentorship in the field of data science. You will learn to leverage advanced statistical techniques, machine learning algorithms, and data visualization tools to extract meaningful insights from complex datasets. The program emphasizes a remote-first approach, allowing participants to develop their skills and contribute to real-world projects from anywhere in the country. Our client is committed to nurturing talent and equipping graduates with the essential skills needed for a successful career in data science.
Program Highlights:
Program Highlights:
- Comprehensive training in statistical modeling, machine learning, deep learning, and data mining.
- Hands-on experience with big data technologies and tools (e.g., Python, R, SQL, Spark).
- Develop predictive models and algorithms to solve business problems.
- Learn data visualization techniques to communicate findings effectively.
- Work on diverse projects across various industries under the guidance of experienced data scientists.
- Participate in workshops and masterclasses led by industry experts.
- Develop strong problem-solving and analytical skills.
- Collaborate with remote teams on data-driven initiatives.
- Gain exposure to ethical considerations in data science.
- Build a professional network within the data science community.
- Receive personalized mentorship and career development support.
- Prepare for a career as a Data Scientist, Machine Learning Engineer, or Data Analyst.
- Contribute to innovative data solutions that drive business value.
- Enhance programming and scripting capabilities.
- Understand data warehousing and database management principles.
- Recent graduates with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- A strong academic record with excellent grades.
- A demonstrated passion for data science, analytics, and problem-solving.
- Basic proficiency in programming languages like Python or R.
- Understanding of fundamental statistical concepts and machine learning algorithms.
- Excellent analytical and critical thinking skills.
- Ability to work independently and manage time effectively in a remote setting.
- Strong written and verbal communication skills for virtual collaboration.
- Must be legally authorized to work remotely from India.
- Previous internship or project experience in data analysis or a related field is advantageous.
- Eagerness to learn and adapt to new technologies and methodologies.
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7
Junior Data Scientist
110001 Delhi, Delhi
₹25000 Monthly
WhatJobs
Posted 16 days ago
Job Viewed
Job Description
Our client is looking for an enthusiastic and motivated Junior Data Scientist to join their innovative data science team. This is a fully remote internship position, offering a unique opportunity to gain hands-on experience in a leading tech environment. You will work under the guidance of senior data scientists, contributing to various projects involving data analysis, model development, and predictive analytics. Your responsibilities will include data cleaning and preprocessing, exploratory data analysis, assisting in the development and implementation of machine learning models, and contributing to data visualization efforts. We are seeking candidates with a strong academic background in a quantitative field, a solid understanding of statistical concepts, and familiarity with programming languages like Python or R. The ideal intern will be eager to learn, possess excellent problem-solving skills, and have a passion for uncovering insights from data. This role offers invaluable exposure to real-world data challenges and the chance to develop your skills in a collaborative, remote setting. While remote, there are many opportunities to virtually collaborate with team members and mentors who may be located in Delhi, Delhi, IN , necessitating active participation in scheduled virtual meetings and communication channels during standard business hours.
Key Responsibilities:
Key Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Perform exploratory data analysis to identify trends and patterns.
- Support the development and validation of machine learning models.
- Contribute to the creation of data visualizations and reports.
- Conduct literature reviews on relevant data science techniques.
- Collaborate with senior data scientists on ongoing projects.
- Document data analysis processes and model methodologies.
- Assist in A/B testing design and analysis.
- Learn and apply new data science tools and techniques.
- Communicate findings to the team in a clear and concise manner.
- Pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Foundational knowledge of statistical concepts and machine learning algorithms.
- Proficiency in Python or R for data analysis.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and visualization tools (e.g., Matplotlib, Seaborn).
- Basic understanding of SQL for data retrieval.
- Strong analytical and problem-solving aptitude.
- Excellent communication and collaboration skills, suitable for a remote internship.
- Eagerness to learn and adapt in a fast-paced environment.
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8
Junior Data Scientist
110001 Delhi, Delhi
₹40000 Monthly
WhatJobs
Posted 22 days ago
Job Viewed
Job Description
Our client is excited to offer a fully remote Junior Data Scientist internship opportunity for enthusiastic and intellectually curious individuals looking to kickstart their careers in data science. This internship provides hands-on experience in a dynamic, fast-paced environment where you will contribute to real-world projects. You will work alongside experienced data scientists, learning to clean, analyze, and interpret complex datasets to derive actionable insights.
As a Junior Data Scientist intern, you will gain exposure to various machine learning techniques, statistical modeling, and data visualization tools. Your responsibilities will include assisting in data preprocessing, building preliminary models, evaluating their performance, and communicating findings. This role is perfect for someone with a strong academic background in a quantitative field and a passion for uncovering patterns and solving problems with data. You will be an integral part of our data science team, contributing to innovative solutions and expanding your technical skillset. The role emphasizes learning and development, offering mentorship and opportunities to tackle challenging data-related tasks.
Key Responsibilities:
Qualifications:
As a Junior Data Scientist intern, you will gain exposure to various machine learning techniques, statistical modeling, and data visualization tools. Your responsibilities will include assisting in data preprocessing, building preliminary models, evaluating their performance, and communicating findings. This role is perfect for someone with a strong academic background in a quantitative field and a passion for uncovering patterns and solving problems with data. You will be an integral part of our data science team, contributing to innovative solutions and expanding your technical skillset. The role emphasizes learning and development, offering mentorship and opportunities to tackle challenging data-related tasks.
Key Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Support the development and implementation of statistical models and machine learning algorithms.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Visualize data and results to effectively communicate insights.
- Collaborate with senior data scientists on ongoing projects.
- Learn and apply new data science techniques and tools.
- Contribute to documentation and reporting of project outcomes.
- Participate in team meetings and discussions on data-driven strategies.
- Assist in A/B testing and experiment design.
- Troubleshoot and resolve data-related issues.
Qualifications:
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Basic understanding of statistical concepts and machine learning principles.
- Familiarity with programming languages such as Python or R.
- Knowledge of data manipulation libraries (e.g., Pandas, NumPy).
- Exposure to data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- 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 a proactive attitude.
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9