Sr. Data Scientist

6 Months ago • 4 Years + • Data Analyst • ₹30,00,000 LPA - ₹34,00,000 LPA

Job Summary

Job Description

We are seeking a Senior Data Scientist with 4+ years of experience to lead and manage data science projects, build and define the data analytics function, and present complex findings to technical and non-technical stakeholders. Strong expertise in Python, R, SQL, and statistical methods is required. Experience with machine learning techniques like Gradient Boosting Machines, K-means clustering, and Neural Networks is essential.
Must have:
  • Python or R
  • SQL expertise
  • Statistical methods
  • Machine learning
Good to have:
  • Gradient Boosting
  • K-means clustering
  • Neural Networks
  • TensorFlow
Perks:
  • Remote work
  • Equity

Job Details

About the job

About Madison Logic:

Our team is reshaping B2B marketing and having fun in the process! As a truly global company, we take pride in the diverse backgrounds of our team. When joining Madison Logic, you are committing to giving 100% and always striving for more. Work with & learn from an incredible group of people who care about your success as much as they care about their own. Our team is at the heart of what we do and our success starts with you!

Remote work note: Please refer to the job posting detail to determine what (if any) remote work options apply to the specific job advertised. Not all positions are available for remote work or in all regions/countries. Where applicable, remote work must be conducted from your home office located in a jurisdiction in which Madison Logic has the legal right to operate. It requires availability and responsiveness on a full-time basis from a distraction free environment with access to high-speed internet. Please inquire for more details.

About the Role:

Reporting to the Sr. Director of Data Analytics, this role is instrumental in defining and building the function. This role is data and strategy focused and requires the ability to apply machine learning and artificial intelligence to real business challenges.

Responsibilities:

  • Present complex findings to technical and non-technical stakeholders, displaying excellent communication skills
  • Lead and Manage multiple data science projects simultaneously.
  • Adapt to a fast-paced, evolving data-driven environment
  • Tackle complex data challenges by taking a proactive and innovative approach to problem-solving
  • Display strong ethical standards in data handling, model development, and result interpretation

Basic Requirements:

  • Advanced degree (Ph.D. or Master's) plus 4+ years of non-academic professional experience
  • Proficiency in Python or R (both preferred)
  • SQL expertise
  • Strong background in statistical methods, including: Regression analysis, Model testing, Logistic regression, Generalized Linear Models (GLM) and Solid understanding of statistics and random variables
  • Technical Knowledge:
  • Familiarity with one or more advanced machine learning techniques:
  • Gradient Boosting Machines (GBM)
  • K-means clustering
  • Neural Networks
  • Support Vector Machines (SVMs)
  • Bayesian Networks
  • Natural Language Processing (NLP)
  • Experience with machine learning frameworks such as: TensorFlow, Scikit-learn, PyTorch and Kera

Other Characteristics:

  • Team player and proven relationship-builder
  • Strong interpersonal skills, high level of professionalism and integrity
  • Excellent organizational and project management skills
  • Experience handling multiple responsibilities, tasks, and projects in a fast-paced environment preferred
  • A positive attitude that approaches tasks/projects from a hands-on, roll up your sleeves frame of mind

₹30,00,000 - ₹34,00,000 a year

Expected Compensation: (Dependent upon Experience)

Data Scientist Fixed CTC: 24.5 LPA - 28 LPA

Sr. Data Scientist Fixed CTC: 30 LPA - 34 LPA

Pay Transparency/Equity:

We are committed to paying our team equitably for their work, commensurate with their individual skills and experience. Salary Range and additional compensation, including discretionary bonuses and incentive pay, are determined by a rigorous review process taking into account the experience, education, certifications and skills required for the specific role, equity with similarly situated team members, as well as employer-verified region-specific market data provided by an independent 3rd party partner.

We will provide more information about our perks & benefits upon request.

Who We Are:

Our Vision: We empower B2B organizations globally to convert their best accounts faster

Our Values: #TEAM #OWNIT #RESPECT #EXCEL #EMPOWER

Our Commitment to Diversity & Inclusion:

Madison Logic is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of sex, race, color, religion, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status.

Privacy Disclosure:

All of the information collected in this form and/or by your application by submission of your online profile is necessary and relevant to the performance of the job applied for. We will process the information provided by you in this form, your CV (including physical and online resume profiles), by the referees you have noted, and by the educational institutions with whom we may undertake to verify your qualifications with, in accordance with our privacy policy and for recruitment purposes only.

For more information on how we process the information you have provided including relevant lawful bases (where relevant) please see our privacy policy which is available on our website ( https://www.madisonlogic.com/privacy/ ).

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About The Company

Since 2005, Madison Logic has empowered the largest and fastest-growing companies to convert their best accounts faster by finding and engaging throughout the customer journey with the most influential members of the buying committee.


The ML Platform, a global multi-channel ABM media activation and measurement platform, enables marketers within enterprise organizations to leverage unique proprietary data to identify the accounts most likely to purchase, maximize engagement across multiple channels, and accelerate sales cycles to positively impact ROI.

Pune, Maharashtra, India (On-Site)

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