- Job Title: Advisor Data Science
- Salary: Not DisclosedÂ
- Location: BengaluruÂ
- Company: Dell Technologies
- Qualification: Any Graduate
- Experience: 5Â –Â 7Â years
ABOUT DELL TECHNOLOGIESÂ
Dell Technologies is a global chief in the statistics era, offering modern answers for businesses and people alike. Founded with the aid of Michael Dell in 1984, the agency provides an extensive range of products and services, together with non-public computer systems, servers, facts garage devices, and networking answers. Dell is famend for its direct-to-consumer version, which revolutionized the pc enterprise. Over the years,Â
Dell has increased its portfolio through acquisitions together with EMC, VMware, and Alienware. The corporation specializes in digital transformation, cloud computing, and statistics-pushed insights, supporting businesses to streamline operations and beautify productiveness. Dell is devoted to sustainability, variety, and social responsibility, aiming to reduce its carbon footprint and enhance get right of entry to to era international. With an international presence, Dell Technologies remains a trusted partner for organizations looking to innovate and power boom in a hastily evolving virtual landscape.
Job Overview:
An Advisor Data Science gives expert steering on leveraging records to drive commercial enterprise selections. They lead statistics-driven techniques, analyze complex datasets, and help put in force superior statistical fashions and system-mastering strategies. Collaborating with move-purposeful groups, they identify key overall performance metrics and possibilities for development. The function requires deep know-how of information evaluation, programming languages (like Python or R), and enterprise methods Advisors additionally mentor junior information scientists, ensuring satisfactory practices are observed and tasks align with organizational dreams. Strong verbal exchange skills are crucial for translating complicated facts and insights into actionable suggestions.
Requirements and Skills for an Advisor in Data Science:
Educational Background:
- A Bachelor’s diploma in Computer Science, Statistics, Mathematics, Data Science, or a related subject is generally required.
- A Master’s or Ph.D. A comparable domain is often preferred, especially for senior roles.
Experience:
- At least 5-7 years of experience running in facts technological know-how or related fields, with a demonstrated track file of leading information-driven projects.
- Experience in business methods and translating funds and insights into actionable suggestions for non-technical stakeholders.
- Familiarity with managing and mentoring junior data technology professionals, fostering collaborative and revolutionary group surroundings.
Technical Skills:
- Programming Languages: Proficiency in languages including Python, R, or SQL is important. Experience with facts manipulation and analysis using libraries like Pandas, NumPy, and Dask is regularly required.
- Machine Learning: Strong knowledge of gad getting knowledge of algorithms (each supervised and unsupervised) and their sensible packages. Familiarity with frameworks like TensorFlow, Scikit-research, or Keras is high-quality.
- Statistical Analysis: Deep understanding of statistical techniques, speculation checking out, regression evaluation, time collection forecasting, and experimental design.
- Data Visualization: Expertise in facts visualization equipment like Tableau, Power BI, or matplotlib, and the capability to create intuitive and clear visual representations of statistics for stakeholders.
- Big Data Technologies: Experience with large facts tools and structures along with Hadoop, Spark, and cloud computing services (AWS, Google Cloud, or Azure) is tremendously treasured.
Business Acumen:
- Strong capability to align statistics technological know-how projects with business goals and provide strategic insights.
- Excellent conversation skills to explain complex technical ideas to both technical and non-technical audiences.
- Experience in identifying key performance signs (KPIs) and driving metrics that have an effect on decision-making tactics at the government level.
Problem-Solving and Critical Thinking:
- Ability to clear up complex issues by way of studying records, identifying trends, and making informed predictions or guidelines.
- Creative thinking to discover revolutionary answers the usage of records and new technologies.
Soft Skills:
- Strong interpersonal and collaboration competencies, particularly in pass-purposeful teams.
- Effective time control and the capacity to paint on a couple of initiatives simultaneously.
- Leadership and mentorship abilities to guide teams in accomplishing their dreams and adopting best practices.
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