Job Title: Lead Data Scientist
Salary: ₹33,41,905 per year
Location: Karnataka
Company: Target
Qualifications: Graduate
Experience: 4-year degree
ABOUT TARGET
Job Overview
As the Lead Data Scientist, you’ll spearhead statistics-driven initiatives, guiding a crew in growing advanced analytics solutions and predictive fashions. Your function includes leveraging statistical techniques and gadget-studying techniques to extract actionable insights from complex datasets. You will collaborate with cross-purposeful teams to align records strategies with business dreams, ensure the accuracy of data analyses, and drive information-informed selection-making. Additionally, you may mentor junior records scientists, manipulate undertaking timelines, and speak findings to stakeholders, fostering a culture of innovation and records excellence in the business enterprise.
Qualifications and Skills of a Lead Data Scientist:
Educational Background:
- Master’s or Ph.D. In Data Science, Computer Science, Statistics, Mathematics, or an associated subject. Advanced levels are desired due to the complexity of the problems and methodologies worried.
Technical Expertise:
- Data Analysis: Proficiency in statistical analysis and facts interpretation. Experience with tools like R, Python, and SQL is crucial for manipulating and analyzing massive datasets.
- Machine Learning: Extensive enjoyment with device gaining knowledge of algorithms and frameworks (e.g., scikit-examine, TensorFlow, Keras, PyTorch). Ability to construct, set up, and exceptional-tune predictive models.
- Data Visualization: Strong abilties in facts visualization gear (e.G., Tableau, Power BI) and libraries (e.G., Matplotlib, Seaborn) to provide information insights efficaciously.
- Big Data Technologies: Familiarity with big information technologies together with Hadoop, Spark, and cloud platforms (e.g., AWS, Azure, Google Cloud) to manage and examine huge-scale records.
Experience:
- Industry Experience: Several years of enjoyment in data science or analytics roles, with a verified track document of handing over actionable insights and successful projects.
- Leadership: Demonstrated revel in leading and mentoring teams, dealing with records science tasks, and guiding junior crew members via complicated analyses. ( Lead Data Scientist)
Problem-Solving Skills:
- Ability to address complicated information-demanding situations with innovative answers. Strong analytical and important wondering abilities to interpret statistics and generate significant insights.
Communication Skills:
- Exceptional capacity to talk technical findings to non-technical stakeholders. Proficiency in creating clean, concise reviews and shows that bring records-pushed pointers.
Project Management:
- Strong assignment control abilties to supervise data technology tasks from inception to completion. Ability to prioritize obligations, manipulate timelines, and deliver results within set deadlines.
Collaboration:
- Experience operating in go-useful teams and taking part with stakeholders from numerous departments. Ability to apprehend and align records technology techniques with enterprise objectives.
Adaptability:
- Ability to stay modern-day with evolving technology and methodologies inside the field of records science. Willingness to evolve and apply new strategies to satisfy emerging demanding situations. ( Lead Data Scientist)
Ethical Understanding:
- Awareness of statistics privateness, security, and ethical considerations in coping with and analyzing touchy facts. Commitment to ensuring ethical practices in facts science.
Continuous Learning:
- Commitment to ongoing professional development and staying up to date with the trendy trends, gear, and best practices in records science.
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