313 Statistics jobs in India

Job Description:

We are seeking an experienced and dynamic Professor of Statistics to join our faculty team. The successful candidate will be responsible for teaching courses at both undergraduate and postgraduate levels, mentoring students, and contributing to the academic and research missions of the department.

Key Responsibilities:

• Teach core and elective courses in Statistics to UG and PG students.
• Design and update course curricula to reflect current trends and best practices.
• Supervise undergraduate and postgraduate research projects and theses.
• Conduct original research in the field of statistics or applied domains.
• Publish in peer-reviewed journals and present at academic conferences.
• Participate in departmental activities, academic advising, and committee work.
• Collaborate with other faculty on interdisciplinary projects and grant applications

Minimum Qualifications:

• Ph.D. in Statistics or a closely related field (for Associate/Full Professor roles).
• Master's degree in Statistics with significant teaching experience (for Assistant Professor roles).
• Demonstrated excellence in teaching at the UG and/or PG level.
• Strong academic background in theoretical and applied statistics.
• Record of publications or evidence of potential for high-quality research.
• Proficiency with statistical tools and software (e.g., R, Python, SAS, SPSS, etc.)

Preferred Qualifications:

• Experience in curriculum development and academic leadership.
• Research expertise in fields such as Data Science, Biostatistics, Econometrics, Machine Learning, etc.
• Industry collaboration or consultancy experience is a plus.
• Familiarity with online teaching tools and modern pedagogical approaches.

Job Type: Full-time

Pay: ₹25, ₹32,000.00 per month

Work Location: In person

Key Responsibilities

• Solve student queries and provide clear, accurate solutions in Statistics.
• Address questions from competitive exams (e.g., JEE Main/Advanced), classwork, and other academic tests.
• Deliver detailed, step-by-step explanations that are easy for the average student to follow.
• Write answers neatly in blue or black ink on plain white paper, capture a clear photo, and upload it.
• Dedicate at least 1–2 hours daily to assisting students.

Eligibility

• M.Sc. in Statistics (completed or pursuing) or relevant teaching experience in the subject.

Job Types: Part-time, Freelance

Contract length: 3 months

Pay: ₹5, ₹6,000.00 per month

Expected hours: 4 per week

Benefits:

• Work from home

Education:

• Bachelor's (Preferred)

Work Location: Remote

We are seeking a passionate and qualified Statistics Tutor to join our department. The ideal candidate will be an expert in statistical principles and a skilled educator who can make complex concepts accessible and engaging for students. The role involves designing and delivering a comprehensive curriculum, assessing student progress, and contributing to a collaborative academic environment.

Education: A Master's degree in Statistics, Mathematics,

Responsibilities And Duties

• Deliver Online Statistics and Mathematics classes for IB, A Level, IGCSE, AP, and other international curriculum exams.
• Explaining every concepts in easy and understandable terms to the students.
• Using real-life examples to teach geometrical concepts.
• Developing students' interest in Statistics and Mathematics
• Planning and creating teaching materials.
• Giving assignments to the students.
• Facilitating classroom discussions on various topics.
• Providing additional teaching support for slow learners.
• Building a solid relationship with the students.
• Solving various math problems in the classroom.
• Reporting student progress in the math subject.

Skill required:

• Experience teaching all level Math And Stats formally or informally
• Great intuition for how students like to learn.
• Familiarity with curriculum and teaching methods
• An entrepreneurial mindset, including a high tolerance for ambiguity, a penchant for experimentation, and a bias toward action.
• Impeccable written communication skills
• Meticulous attention to detail and excellent time management skills.

Type: Full Time

About OJ Commerce:

OJ Commerce (OJC), a rapidly expanding and profitable online retailer, is headquartered in Florida, USA, with a fully-functional office in Chennai, India. We deliver exceptional value to our customers by harnessing cutting-edge technology, fostering innovation, and establishing strategic brand partnerships to enable a seamless, enjoyable shopping experience featuring high-quality products at unbeatable prices. Our advanced, data-driven system streamlines operations with minimal human intervention. Our extensive product portfolio encompasses over a million SKUs and more than 2,500 brands across eight primary categories. With a robust presence on major platforms such as Amazon, Walmart, Wayfair, Home Depot, and eBay, we directly serve consumers in the United States. As we continue to forge new partner relationships, our flagship website, , has rapidly emerged as a top-performing e-commerce channel, catering to millions of customers annually.

Responsibilities:

• Develop, validate, and implement advanced statistical models, including mixed effects models, structural equation modelling, generalized additive models (GAMs), Bayesian modelling, and hierarchical models to address complex business challenges.

• Analyze large datasets using statistical techniques to extract actionable insights and trends.

• Collaborate with stakeholders to understand business needs and translate them into analytical solutions.

• Present findings and recommendations clearly to both technical and non-technical audiences.

• Stay current with industry trends, statistical methodologies, and best practices in data analysis.

• Document methodologies and results, ensuring transparency and reproducibility of models.

• Conduct exploratory data analysis to inform model development and improve accuracy.

• Participate in continuous improvement initiatives to enhance modelling processes and tools.

Qualifications:

• Masters degree or above in Statistical Sciences.

• Proven experience in statistical modeling, data analysis, and predictive analytics.

• Very strong proficiency in statistical software (e.g., R, Python, SAS, SPSS) and data visualization tools (e.g., Tableau, Power BI).

• Strong understanding of advanced statistical techniques, including regression analysis, time series forecasting, mixed effects models, structural equation modeling, generalized linear models (GLMs), machine learning algorithms (e.g., decision trees, random forests, support vector machines), and Bayesian inference.

• Excellent problem-solving skills and attention to detail.

• Strong communication skills, with the ability to convey complex statistical concepts to diverse audiences.

• Experience with data management and database systems (e.g., SQL) is a plus.

What we Offer

• Competitive salary

• Medical Benefits/Accident Cover

• Flexi Office Working Hours

• Fast paced start up

Company Description

Alignerr
Labelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. We're backed by SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins, and trusted by leading research labs and enterprises worldwide.

About Role -

• Data annotation: Accurately label and categorize statistical expressions, equations, datasets, problems, and related content
• Concept mapping: Connect statistical concepts and establish relationships between topics such as probability, distributions, hypothesis testing, regression, and statistical modeling to help AI models understand the underlying structure of statistics
• Solution verification: Analyze and provide feedback on AI-generated solutions to statistics and probability problems, identifying errors and offering step-by-step explanations to improve model accuracy
• Content development: Contribute to comprehensive training datasets covering a broad range of statistics concepts and difficulty levels
• Red teaming: Identify potential biases, inaccuracies, or limitations in the AI's understanding of statistics and probability. Design tests to ensure AI outputs are robust and practically applicable

Qualifications

• You have deep expertise in probability and statistics, demonstrated through research, teaching, or applied problem-solving
• You are enrolled in or have completed a Bachelor's degree or higher from an accredited institution
• You have experience building or reviewing complex data, educational, or technical content
• You possess native-level proficiency in probability and statistics, and communicate concepts clearly in written English

Interview Process -

1. Click on the
   Apply
   link and sign up.
2. Upload your
   resume
   and complete the
   ID verification
   .
3. After verification, go to the
   Home Page
   .
4. Click on
   "Start Interview with Zara"
   – the
   15 min AI interview
   will be based on your resume.
5. Complete the interview to proceed with
   onboarding
   .

Must be located in India or USA

Payout -

• Engagement | Hourly, at‑will contractor
• Schedule | Fully remote & asynchronous (min. 10 hrs/week)
• Pay Range (US) | $25 – $100 per hour
• Start Date | Rolling — staffed as projects launch
• (Applicants with more than 5 years of experience should not apply.)

Role : Analytics Specialist – Statistics
Experience : 2 to 4 Years
Job Location : Chennai (Onsite)

About OJ Commerce:
OJ Commerce (OJC), a rapidly expanding and profitable online retailer, is headquartered in Florida, USA, with a fully-functional office in Chennai, India. We deliver exceptional value to our customers by harnessing cutting-edge technology, fostering innovation, and establishing strategic brand partnerships to enable a seamless, enjoyable shopping experience featuring high-quality products at unbeatable prices. Our advanced, data-driven system streamlines operations with minimal human intervention. Our extensive product portfolio encompasses over a million SKUs and more than 2,500 brands across eight primary categories. With a robust presence on major platforms such as Amazon, Walmart, Wayfair, Home Depot, and eBay, we directly serve consumers in the United States. As we continue to forge new partner relationships, our flagship website, has rapidly emerged as a top-performing e-commerce channel, catering to millions of customers annually.

Responsibilities:
    • Develop, validate, and implement advanced statistical models, including mixed effects models, structural equation modelling, generalized additive models (GAMs), Bayesian modelling, and hierarchical models to address complex business challenges.
    • Analyze large datasets using statistical techniques to extract actionable insights and trends.
    • Collaborate with stakeholders to understand business needs and translate them into analytical solutions.
    • Present findings and recommendations clearly to both technical and non-technical audiences.
    • Stay current with industry trends, statistical methodologies, and best practices in data analysis.
    • Document methodologies and results, ensuring transparency and reproducibility of models.
    • Conduct exploratory data analysis to inform model development and improve accuracy.
    • Participate in continuous improvement initiatives to enhance modelling processes and tools.

Qualifications:
    • Master’s degree or above in Statistical Sciences.
    • Proven experience in statistical modeling, data analysis, and predictive analytics.
    • Very strong proficiency in statistical software (e.g., R, Python, SAS, SPSS) and data visualization tools (e.g., Tableau, Power BI).
    • Strong understanding of advanced statistical techniques, including regression analysis, time series forecasting, mixed effects models, structural equation modeling, generalized linear models (GLMs), machine learning algorithms (e.g., decision trees, random forests, support vector machines), and Bayesian inference.
    • Excellent problem-solving skills and attention to detail.
    • Strong communication skills, with the ability to convey complex statistical concepts to diverse audiences.
    • Experience with data management and database systems (e.g., SQL) is a plus.


What we Offer
    • Competitive salary
    • Medical Benefits/Accident Cover
    • Flexi Office Working Hours
    • Fast paced start up
    

Job Description:

Accountability:

Single point accountabilities and decision-making for your individual role should be agreed with your manager and captured in your MyPlan and Workday.

Technical Expertise, Scientific Leadership and Strategy:

Acts as an internal expert for some methodologies.
Develops and applies knowledge and understanding of emerging statistical methodologies/new research.
Utilizes sources of data and information (internal/external) and applies statistical concepts to explore and recommend optimal designs.
Influences statistical strategy through authoring analysis plans, sections of key documents (e.g. protocols) and presentation materials.
Performs appropriate analysis and interpretation and uses a wide range of statistical approaches and/or applicable software to explore options.
Supports engagement with regulatory agencies on key statistical issues and approaches (under supervision).
Shares learnings with peers and contributes to internal technical discussions/forums.
Effectively explains technical concepts to non-statisticians.
Contributes to department strategies and key initiatives through working groups and sub teams.

Innovation, Problem Solving and Decision Making:

Anticipates problems within discipline, proactively uses own expertise and/or seeks input from others, to recommend solutions and influence appropriate change.
Proactively identifies areas where novel strategies can be applied and effectively communicates rationale.
Uses technical expertise in matrix-discussions to support evidence-based decision making.
Contributes to a working group to explore an innovation or business strategy.

Compliance, Quality and Governance:

Thorough knowledge of all GxP, ICH requirements, internal processes and external regulations that govern drug development (where applicable).
Ensures archiving commitments related to own tasks are handled proactively and facilitates issue resolution.
Contributes to after action reviews and the development of solutions.
Understands how Client policies and procedures impact projects and is fully compliant in implementation.
Contributes to the development or improvement of departmental policies and working practices.
Develops responses to audit/inspection questions and complete CAPAs within agreed timelines.
Performs and documents oversight of outsourced activities including Quality Assurance (QA)
Identifies and addresses issues at study/project level and works to develop solutions with internal teams and/or outsourced partners.

Communication and Influence:

Independently, prepares detailed oral or written summaries in the context of strategic fit, feasibility, and rationale for projects appropriate to audience.
Effectively presents at internal forums and external professional industry meetings.
Effectively communicates technical and complex approaches to peers and non-technical colleagues demonstrating influence and successful outcomes.
Demonstrates effective communication to all stakeholders on project deliverables.

Collaboration and Matrix-Working:

Works effectively and proactively in multi-disciplinary teams and a matrix environment through effective listening and active participation in challenging discussions
Demonstrates networking skills through interactions across departments and divisions.
Begins to develop networking skills with external partners and key opinion leaders/experts.
Effectively contributes to internal and external collaborations.
Demonstrates appropriate engagement with outsourced partners.

Leadership and People Development:

Self-awareness of development needs and proactively identifies opportunities to support development objectives.
Able to understand and clarify boundaries of responsibility within own role; allocates decision making authority and task responsibility to others as appropriate.
Acts as a mentor or coach for new staff members.
Involved with recruitment activities.
May start to develop First Line Leader (FLL) capabilities.

Basic Education (indicative of entry level, not mandated for career progression):

Has theoretical and practical knowledge typical of at least MSc in Statistics and/or a combination of education and experience.