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Abbott is Hiring Senior Data Scientist

🔍 Abbott is Hiring Senior Data Scientist – Apply Now to Make a Real Impact in Healthcare AI

In today’s world, where technology and healthcare are rapidly converging, data science is at the heart of innovation. From predictive diagnostics to personalized medicine, data science is transforming how the world experiences healthcare. One company leading the charge is Abbott, and right now, they are hiring for a Senior Data Scientist in Mumbai.

This blog post provides you with a full breakdown of the job role, qualifications, and responsibilities, along with a roadmap to become a Data Scientist if you’re just starting out. At the end, don’t forget to check our Instagram handle @rakeshmenjobs for more such job updates.

🏢 About Abbott

Abbott Laboratories is a global leader in healthcare, operating in over 160 countries. The company focuses on four key areas: diagnostics, medical devices, nutrition, and branded generic medicines. Whether it's life-saving devices, fast diagnostics, or science-backed nutrition, Abbott has a rich legacy of improving lives through innovation.

Joining Abbott means becoming part of a purpose-driven organization that values ethics, innovation, and employee growth. If you want your work to make a meaningful impact, this is the right place.

📌 Job Opening: Senior Data Scientist

  • Job Title: Senior Data Scientist

  • Company: Abbott

  • Location: Mumbai

  • Employment Type: Full-Time

  • Remote Eligibility: Information Technology

  • Experience Required: 5+ years in Data Science, ML, AI

🔗 👉 Click Here to Apply Now

💼 Job Overview

The Senior Data Scientist at Abbott will be a crucial member of the Digital Technology team, focused on designing and deploying machine learning solutions that directly enhance healthcare outcomes. This role blends data science with real-world problem solving, business strategy, and regulatory compliance—making it both technically challenging and professionally rewarding.

🔍 Key Responsibilities

  • Apply advanced machine learning and statistical techniques to healthcare problems.

  • Collaborate with cross-functional teams (engineers, product owners, analysts, etc.).

  • Build, validate, and deploy predictive models at scale.

  • Interpret and communicate data findings to leadership and stakeholders.

  • Maintain data quality, compliance, and model performance across the lifecycle.

  • Mentor junior data scientists and provide technical guidance.

  • Ensure all solutions adhere to healthcare regulations (HIPAA, GDPR, etc.).

  • Continuously stay up to date with ML/AI advancements and integrate them into workflow.

🎓 Required Qualifications

✅ Educational Background:

  • Master’s or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related field.

✅ Technical Skills:

  • Proficiency in Python, R, and SQL.

  • Strong experience with libraries like scikit-learn, pandas, NumPy, and TensorFlow or PyTorch.

  • Experience with cloud platforms (AWS, GCP, or Azure).

  • Data visualization with Matplotlib, Seaborn, Power BI, or Tableau.

  • Experience working with structured and unstructured data.

✅ Soft Skills:

  • Excellent problem-solving and analytical abilities.

  • Ability to translate business needs into data science problems.

  • Strong communication skills for both technical and non-technical audiences.

⭐ Preferred Qualifications

  • Previous experience in the healthcare industry.

  • Familiarity with EHR (Electronic Health Records) and real-world patient data.

  • Understanding of regulatory frameworks for healthcare data.

  • Experience with DevOps, MLOps, or automated model pipelines.

🌟 Why Work at Abbott?

✅ Meaningful Work

At Abbott, your work will literally save lives and improve health outcomes. Few companies offer such tangible impact.

✅ Career Growth

Abbott offers career paths across R&D, engineering, and leadership. The company also supports education and certification programs.

✅ Work-Life Balance

With flexible hours, hybrid roles, and excellent benefits, Abbott takes care of your professional and personal well-being.

✅ Global Exposure

You’ll collaborate with experts from around the world, giving you a global perspective in healthcare technology.

💼 Benefits (Typical for This Role)

  • Benefits Include:

    • Medical, dental, and vision insurance

    • Paid time off and holidays

    • 401(k) with company match

    • Tuition reimbursement

    • Employee wellness programs

    • Professional development courses

📈 Career Trajectory After This Role

Working in this role opens up future opportunities like:

  • Lead Data Scientist

  • AI Product Manager

  • Director of Data Science

  • Chief Data Officer (CDO)

  • AI/ML Consultant in Healthcare

This role is not just a job—it's a gateway to leadership in AI and healthcare technology.

🗺️ Roadmap to Become a Data Scientist (If You're Just Starting Out)

If this job inspires you but you're not quite there yet, don’t worry. Here’s a beginner-friendly roadmap to become a Data Scientist in under 12 months:

1. Learn the Basics (Month 1-2)

  • Master Python and SQL.

  • Understand core math: statistics, linear algebra.

  • Study basic data manipulation using pandas and NumPy.

2. Build Analytical Thinking (Month 3)

  • Learn data visualization (Matplotlib, Seaborn).

  • Start working on mini projects: sales analysis, customer segmentation, etc.

3. Study Machine Learning (Month 4-6)

  • Learn models: Linear Regression, Decision Trees, Random Forests, SVM.

  • Use scikit-learn to implement models.

  • Build at least 2 ML projects and upload to GitHub.

4. Work with Real Data (Month 7-8)

  • Explore Kaggle and take part in competitions.

  • Try working with healthcare data, if possible.

5. Resume + LinkedIn Optimization (Month 9)

  • Tailor your resume to data science roles.

  • Highlight projects, certifications, and tools.

6. Internships or Freelance Work (Month 10-12)

  • Apply for internships or freelance on Upwork/Fiverr.

  • Get 1-2 real-world experiences under your belt.

📢 Final Thoughts

The role of Senior Data Scientist at Abbott is a dream opportunity for anyone wanting to make an impact through innovation. You’ll not only work on state-of-the-art projects but also improve lives across the globe.

🔗 Apply Now – Senior Data Scientist at Abbott

If you’re still working your way up, start learning today. The demand for healthcare data professionals is skyrocketing, and your future self will thank you for taking the first step.

✅ Follow us on Instagram @rakeshmenjobs for:

  • Daily job updates in tech, data, and AI

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  • Free templates, courses, and reel scripts

Let your job search journey be smart, strategic, and supported.

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Location: Mumbai, Maharashtra, India

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