Data Science Business Consultant

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Brillio

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python SQL NumPy Keras PyTorch Pandas R Analytics TensorFlow

Job Description

Data Science Business Consultant (BA)

Experience:

At least 5 years of experience in data science, business analytics, or a similar role.

Proven experience in consulting and working directly with clients.

Location:Bangalore,Chennai,Hyderabad

Primary Skills

  • Technical Skills:
  • Proficiency in programming languages such as Python or R.
  • Strong understanding of machine learning frameworks and libraries, including TensorFlow, PyTorch, scikit-learn, and Keras.
  • Experience with data processing tools like Pandas, NumPy, and SQL.
  • Familiarity with data visualization tools like Tableau, Power BI, or similar.
  • Analytical Skills: Exceptional problem-solving skills and the ability to analyze complex datasets.
  • Business Acumen: Strong understanding of business processes and the ability to translate technical findings into business insights.
  • Communication Skills: Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.
  • Project Management Skills: Demonstrated ability to lead projects and manage multiple tasks simultaneously.

Specialization

  • Data Science Foundation:Business Analyst

Job requirements

  • Key Responsibilities
  • Client Engagement: o Engage with clients to understand their business needs, challenges, and objectives. Conduct thorough business analysis and identify opportunities for data-driven solutions. Develop and maintain strong relationships with key stakeholders.
  • Solution Development: Design and implement data science solutions tailored to client needs. o Utilize advanced statistical and machine learning techniques to analyze data and generate insights. o Develop predictive models and algorithms to address business problems.
  • Data Analysis and Interpretation: Analyze large and complex datasets to uncover trends, patterns, and insights. Interpret and communicate analytical results to clients in a clear and concise manner. Provide actionable recommendations based on data analysis.
  • Project Management: Lead and manage data science projects from inception to completion. Define project scope, objectives, and deliverables in collaboration with clients and internal teams. Ensure projects are delivered on time, within scope, and within budget.
  • Collaboration and Communication: Collaborate with cross-functional teams, including data scientists, engineers, and business analysts, to develop and implement solutions. Communicate complex technical concepts to non-technical stakeholders effectively. Prepare and deliver presentations, reports, and dashboards to clients.
  • Research and Innovation:
  • Stay updated with the latest advancements in data science, machine learning, and AI. Experiment with new tools, techniques, and methodologies to enhance existing processes and solutions. Share knowledge and best practices with clients and team members. Qualifications
  • Education: Bachelor’s or Master’s degree in Data Science, Business Analytics, Computer Science, Statistics, or a related field. MBA is a plus.
  • Experience: At least 5 years of experience in data science, business analytics, or a similar role. Proven experience in consulting and working directly with clients.
  • Technical Skills: Proficiency in programming languages such as Python or R.
  • Strong understanding of machine learning frameworks and libraries, including TensorFlow, PyTorch, scikit-learn, and Keras. Experience with data processing tools like Pandas, NumPy, and SQL. Familiarity with data visualization tools like Tableau, Power BI, or similar.
  • Analytical Skills: Exceptional problem-solving skills and the ability to analyze complex datasets.
  • Business Acumen: Strong understanding of business processes and the ability to translate technical findings into business insights.
  • Communication Skills: Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.
  • Project Management Skills: Demonstrated ability to lead projects and manage multiple tasks simultaneously.

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