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Job description
Greetings from Rootshell Inc,..
Role: Data Scientist
Location: Remote
Duration: Long Term
• 10 years of experience and 5 years of work experience in data scientist discipline in FMCG/CPG/Retail industry.
• Hands-on expertise in building advanced analytics/machine learning models for price elasticity, promo optimization, product recommendations in large enterprises of FMCG/CPG/Retail industries.
• Experience building machine learning applications in areas like time series forecasting, classification models, clustering models, multivariate regression models etc.
• Experience in Azure cloud with focus on Data Factory, Data Bricks, BLOBs, Data Lake Storage, ML Studio, Azure Analysis Services, Azure Data Warehouse.
Thanks & Regards,
Satish K
408-675-5095
satish@rootshellinc.com
https://www.linkedin.com/in/satish-kesap-74010941/
Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Scientist?
A: To succeed as a Data Scientist, one must possess core technical skills such as proficiency in programming languages like Python, R, or SQL, as well as expertise in machine learning algorithms, data visualization tools like Tableau or Power BI, and statistical modeling techniques. Additionally, strong soft skills like effective communication, collaboration, and problem-solving abilities, along with traits like curiosity, adaptability, and attention to detail, are crucial for success in this role. By combining these technical and soft skills, Data Scientists can effectively extract insights from complex data, drive business decisions, and drive career growth through continuous learning and innovation.
Q: What is the career path for a Data Scientist?
A: A Data Scientist's typical career progression involves starting as a Junior Data Analyst or Data Scientist, where they develop foundational skills in data analysis, machine learning, and visualization. As they gain experience, they can move into mid-level roles such as Senior Data Scientist or Lead Data Analyst, where they take on more complex projects, mentor junior team members, and contribute to strategic decision-making. Ultimately, senior Data Scientists can transition into leadership positions like Director of Data Science or Chief Data Officer, or pursue specialized roles like Data Engineering or Artificial Intelligence Research Scientist, depending on their interests and skills.