Numerator is hiring for a fresher entry level role Remote Data Scientist in India

Position:

• Data Scientist

Company:

• Numerator

Location:

• Remote – India

Job Type:

• Full Time

Job Mode:

• Remote

Job Requisition ID:

• 602212

Years of Experience:

• Not specified; as per JD looks like a fresher entry level role; 0-3 years

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Company Description:

• About Numerator:
  • Numerator is a forward-thinking organization that is transforming the market research industry by providing innovative data-driven insights.
  • The company specializes in empowering the world's top brands and retailers by delivering cutting-edge insights into consumer behavior and identifying the key influencers that drive purchase decisions.
  • At Numerator, the focus is on using advanced technology and analytical solutions to redefine how businesses understand their customers and market dynamics.
  • With a workforce of over 2,000 employees globally, Numerator emphasizes diversity, inclusion, and a collaborative work environment that fosters creativity and innovation.
  • The company is committed to ensuring that every employee feels valued and empowered, fostering a culture where everyone can contribute their unique perspectives and skills.
  • By offering a range of flexible work policies, wellness programs, and continuous learning opportunities, Numerator ensures its employees are well-supported and motivated to excel.
  • As an equal opportunity employer, Numerator maintains a commitment to fairness and inclusivity, providing consideration to all applicants regardless of race, gender, nationality, or background.
  • Numerator operates in many states and provinces, though specific hiring eligibility may vary depending on the candidate’s location.

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Profile Overview:

• Role Overview:
  • As a Data Scientist at Numerator, you will play a critical role in leveraging data science, statistical modeling, and machine learning techniques to solve complex problems.
  • The role involves working with diverse datasets, cleaning, manipulating, and analyzing data using languages such as Python, R, and SQL.
  • The Data Scientist will be responsible for developing and debugging statistical programs to create analytical solutions that meet the evolving needs of clients.
  • You will work across a variety of analytical domains, including shopper insights, marketing effectiveness, segmentation, and forecasting.
  • A key aspect of the role involves communicating analytical insights effectively to a wide range of stakeholders, including other Data Scientists, to influence business decisions.
  • You will contribute to continuous improvement and innovation by refining existing analytical techniques and exploring new methodologies.
  • The position requires a strong foundation in statistical analysis and the ability to apply classical techniques such as regression and classification, as well as modern methods like boosted trees and t-SNE.
  • As a valued member of the Numerator team, you will collaborate with a global community of data professionals and contribute to the company’s mission of redefining market intelligence.

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Qualifications:

• Required Skills and Expertise:
  • Strong knowledge of statistical analysis, machine learning, and data science techniques.
  • Proficiency in statistical methods such as regression, classification, cluster analysis, dimensional reduction, and advanced algorithms.
  • Hands-on experience with classical techniques (e.g., PCA, linear regression) as well as modern approaches (e.g., boosted trees, t-SNE) and the ability to evaluate and apply the appropriate methodology based on business needs.
  • Advanced programming skills, with demonstrated competence in R, Python, and Git.
  • Additional experience in SAS, R Shiny, Angular, Databricks, Spark, Docker, or Kubernetes is considered a plus.
  • Excellent communication skills, with the ability to translate complex statistical concepts into simple, actionable insights for non-technical audiences.
  • Strong organizational skills to manage multiple projects effectively and deliver high-quality solutions within given timelines.
  • Self-motivated and capable of taking the initiative to continuously develop advanced analytical skills and explore new approaches.
  • Analytical mindset, with a passion for problem-solving and exploring complex datasets.
  • Innovative thinker with a high level of attention to detail and a continuous improvement mindset.
  • Proficiency in English is essential, with additional languages being an advantage.
  • Educational background: Bachelor’s or Master’s degree in a data-driven field such as Science, Technology, Engineering, Mathematics, or Economics with a strong statistical component.

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Additional Info:

• Key Responsibilities:
  • Data Analysis and Modelling:
    • Analyze disaggregated data by applying statistical models, machine learning algorithms, and analytical techniques.
    • Develop, refine, and apply statistical programs to create tailored solutions aligned with business goals.
    • Work with diverse and complex datasets to clean, transform, and prepare data for analysis.
  • Programming and Development:
    • Design, program, and debug statistical applications and models using languages such as R, Python, and SQL.
    • Continuously refine and optimize analytical models to enhance performance and accuracy.
    • Incorporate modern analytical techniques into existing solutions to improve efficiency and effectiveness.
  • Communication and Collaboration:
    • Simplify and present complex analytical insights in an engaging and understandable manner to stakeholders and team members.
    • Collaborate with a global network of Data Scientists within the Worldpanel team to exchange knowledge and best practices.
    • Communicate technical findings in a clear and concise format to influence data-driven decision-making.
  • Continuous Improvement and Innovation:
    • Contribute to the ongoing enhancement of analytical solutions by identifying opportunities for innovation and improvement.
    • Develop new methodologies and approaches to meet client needs and address emerging challenges.
    • Maintain a continuous improvement mindset to ensure solutions are aligned with evolving business requirements.
  • Solution Development and Implementation:
    • Work across various solution areas, including shopper analysis (pricing, promotions, and ranging), marketing effectiveness (brand awareness, media), segmentation, and forecasting.
    • Utilize advanced technology platforms to present results, recommendations, and insights to stakeholders.
    • Ensure the analytical methodologies behind the solutions meet client expectations and drive actionable outcomes.

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Summary of Key Competencies:

• Statistical and Analytical Expertise:
  • Strong analytical skills and expertise in applying statistical models and machine learning algorithms.
  • Ability to evaluate, compare, and choose appropriate methodologies based on business challenges.
• Programming Proficiency:
  • Advanced coding skills in R, Python, and SQL, with experience in additional platforms considered beneficial.
  • Expertise in debugging and enhancing statistical programs to refine analytical solutions.
• Communication and Influence:
  • Ability to simplify complex concepts and communicate analytical findings effectively to diverse audiences.
  • Strong collaboration skills to engage with cross-functional teams and global networks.
• Problem-Solving and Innovation:
  • Proactive and curious mindset with a passion for problem-solving and exploring new approaches.
  • Strong attention to detail and a commitment to continuous improvement.
• Project Management and Organization:
  • Excellent organizational skills to manage multiple projects and deliver results efficiently.

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What You’ll Gain at Numerator:

• Professional Growth and Learning:
  • Opportunity to develop and refine advanced analytical and technical skills.
  • Exposure to a variety of analytical domains and the chance to work on cutting-edge solutions.
• Collaborative Work Environment:
  • Join a diverse, inclusive, and innovative team of 2,000+ professionals worldwide.
  • Engage with a global community of Data Scientists and contribute to industry-leading solutions.
• Employee Wellness and Flexibility:
  • Enjoy a range of benefits, including Recharge Days, flexible work policies, and wellness programs for employees and their families.
  • Continuous learning opportunities and professional development to accelerate career growth.
• Inclusive and Supportive Culture:
  • Numerator values diversity and inclusion, creating a work environment where all individuals feel valued and empowered.
  • As an equal opportunity employer, Numerator is committed to maintaining a workplace free from discrimination and ensuring fair treatment for all employees.

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Equal Opportunity Statement:

• Commitment to Diversity and Inclusion:
  • Numerator is an equal opportunity employer, ensuring that all qualified applicants receive fair consideration regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, disability status, or any other protected characteristic.
  • The company promotes a culture of inclusivity and respect, ensuring that all employees have the opportunity to succeed and thrive.

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Hiring and Eligibility Information:

• Location and Hiring Flexibility:
  • While some roles can be remote, Numerator is only able to hire in select states and provinces.
  • Candidates who are not located in an eligible hiring area may not be eligible for employment.

Please click here to apply.

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