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Position: Data Scientist – Academic instruction and project supervision Objective: To appoint a qualified and research-oriented Data Scientist to contribute to academic instruction and project-based execution, supporting students in the domains of Data Science, Artificial Intelligence, and Analytics, with a focus on both conceptual rigor and applied innovation. 1. Essential Qualifications 1.1 Academic Background - Master's degree (M.Tech / M.E. / MCA / M.Sc.) in Data Science, Computer Science, Information Technology, or a closely related discipline from a recognized institution. - Ph.D. in a relevant area (awarded or ongoing) is desirable, particularly for senior academic ranks. 1.2 Experience - Minimum 2 years of teaching experience at the undergraduate/postgraduate level in an academic institution of repute. - Demonstrable expertise in project mentoring, with experience in facilitating interdisciplinary or industry-linked student projects. 1.3 Technical Competencies - Proficient in core data science tools and languages: Python, R, SQL, and statistical software. - Experience with machine learning libraries (Scikit-learn, TensorFlow, Keras) and data visualization platforms (Tableau, Power BI, Matplotlib, Seaborn). - Competence in cloud computing environments (AWS, Azure, Google Cloud Platform) is advantageous. 2. Desired Qualifications - Professional certification in Artificial Intelligence, Machine Learning, or Big Data Analytics (IBM, Google, Microsoft). - Practical experience in real-time project deployment or industry collaboration in a data science role. - Publication record in peer-reviewed journals and/or conference proceedings (Scopus or SCI-indexed preferred). - Exposure to version control (Git/GitHub), containerization (Docker), or DevOps tools used in data pipeline management. - Proven guidance in academic project outcomes leading to intellectual property, publications, or competition accolades. 3. Responsibilities - Deliver structured coursework and laboratory modules across data science topics: statistical modeling, data wrangling, machine learning, AI ethics, and applied analytics. - Design and mentor student capstone projects and live academic-industry collaborations. - Develop course content, project rubrics, and training sessions aligned with industry best practices. - Collaborate with departments and research centers to initiate funded projects and interdisciplinary work. 4. Behavioral Attributes - Excellent communication and academic writing skills. - Strong mentoring orientation, fostering inquiry-driven learning and research aptitude. - Ability to work independently and within multidisciplinary teams to enhance institutional academic stature. 5. Salary Designation Monthly Gross Salary (INR) Remarks Assistant Professor (Entry Level) ₹45,000 – ₹60,000 Based on academic qualifications and teaching experience Assistant Professor (Senior Scale) ₹60,000 – ₹75,000 Ph.D. preferred; active research contributors Note: Final will be commensurate with qualifications, teaching experience, research output, and performance during the interview process. Opportunities for performance-based increments and research incentives are available. 6. Interview and selection process The selection process for the Data Scientist – Academic Instruction and Project Supervision role will involve the following stages: Application Review: Screening of submitted CVs/resumes and academic credentials. Technical Evaluation: Shortlisted candidates will be invited for a technical assessment covering topics in data science, analytics, and teaching pedagogy. Teaching Demonstration: Candidates may be required to deliver a 15–20 minute lecture on a given topic to evaluate teaching ability and communication skills. Personal Interview: Final round with the academic committee to assess subject knowledge, research orientation, and fitment to the institutional goals. Document Verification: Submission and verification of academic and professional credentials. Interview mode: Online/Offline (to be communicated via email to shortlisted candidates). Interview dates: 10th to 15th June 2025. (Final selection list will be published on the institutional website by 30th June 2025). Note: Candidates are advised to ensure the accuracy of their contact information and regularly check their registered email ID for updates. Contact details: Mr. S. Rupas Kumar, Director - HR & Finance, Public Administration, 4-7-40/2/A/NR, 3rd & 4th Floor, SMS Plaza, Bapuji Nagar, Main Road Nacharam, Hyderabad, Telangana, India. Pin – 500076. Email: rupas@mannabiotech.com website : www.mannabiotech.com Show more Show less
