What Jobs are available for Data Scientist in Delhi?

• Develop, implement, and deploy predictive models to forecast business trends, customer behavior, and operational outcomes.
• Design and execute experiments to test hypotheses and validate model performance.
• Clean, transform, and preprocess large, complex datasets from various sources.
• Collaborate with business stakeholders to understand their challenges and translate them into data science problems.
• Identify opportunities for leveraging advanced analytical techniques to solve business problems.
• Build and maintain data pipelines for model training and deployment.
• Communicate complex analytical results and insights clearly and concisely to both technical and non-technical audiences through visualizations and presentations.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence.
• Mentor junior data scientists and contribute to the team's knowledge base.
• Ensure the ethical and responsible use of data and analytical models.

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 7 years of professional experience as a Data Scientist or in a similar analytical role.
• Proven experience in building and deploying predictive models using machine learning algorithms (e.g., regression, classification, clustering, time series analysis).
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
• Strong experience with SQL and working with relational databases.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent data visualization skills using tools like Matplotlib, Seaborn, Tableau, or Power BI.
• Exceptional problem-solving abilities and strong analytical thinking.
• Outstanding communication and presentation skills, with the ability to explain complex concepts.
• Experience working effectively in a remote team environment and managing projects independently.

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.

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.

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.

• 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.

• 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.

• 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.

• 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.