Job Description
Role: Data Science , AIML & ML OPS, Gen AI
Location: Bangalore
Yrs of Exp :5-12 Years
Is it Permanent/ Contract: Permanent
Is it Onsite/Remote/Hybrid: Onsite
If interested, please share your resume to divya.s@cognisolglobal.com
Overview
The Data Scientist position is a pivotal role within our organization, tasked with transforming data into actionable insights that drive business strategies. This role contributes significantly to various projects aimed at harnessing the power of data to enhance decision-making processes. As we continue to integrate data science into our core operations, the data scientist will bridge technical expertise and business acumen to build predictive models, improve processes, and contribute to overall organizational efficiency. Candidates should possess a solid understanding of statistical models, machine learning algorithms, and data visualization techniques. This walk-in drive aims to attract passionate individuals who are eager to explore the latest technologies and techniques in data science while working collaboratively within a diverse team. We encourage innovative thinking and a strong analytical mindset, as this position is crucial for sustaining our competitive edge in an increasingly data-driven marketplace.
Key Responsibilities
• Develop and implement statistical models and algorithms to analyze complex datasets.
• Collaborate with cross-functional teams to identify data-driven opportunities for improvement.
• Transform raw data into meaningful insights using data mining techniques.
• Create data visualizations to convey analytical findings effectively.
• Design experiments for data collection and analysis to support business objectives.
• Utilize machine learning techniques to enhance predictive capabilities.
• Manage and manipulate sizeable datasets using SQL and other data tools.
• Continuously evaluate and improve model performance based on changing data inputs.
• Present analytical findings to non-technical stakeholders to influence strategic decisions.
• Stay current with industry trends and advancements in data science methodologies.
• Document data processes and methodologies for future reference.
• Support data governance and quality assurance initiatives.
• Participate in code reviews to ensure best practices in programming.
• Provide mentorship and support to junior data science staff.
• Engage in problem-solving discussions to overcome analytical challenges.
Required Qualifications
• Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field.
• Master’s degree or Ph.D. in Data Science or a related discipline preferred.
• Proven experience with data science projects and methodologies.
• Proficiency in programming languages like Python or R.
• Solid understanding of machine learning algorithms and frameworks.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Strong analytical and problem-solving skills.
• Familiarity with big data technologies like Hadoop or Spark.
• Experience in SQL for data manipulation and analysis.
• Excellent communication skills, both verbal and written.
• Ability to work collaboratively in a team environment.
• Detail-oriented with a focus on quality and accuracy.
• Ability to manage multiple projects and deadlines simultaneously.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud is a plus.
• Strong willingness to learn and adapt to new technologies.
• Experience in applying statistical methods to real-world problems.
Skills: sql,google cloud,tableau,aws,hadoop,python,spark,azure,statistical analysis,problem solving,r,data mining,statistical modeling,data visualization,power bi,big data technologies,machine learning,critical thinking
Location: Bangalore
Yrs of Exp :5-12 Years
Is it Permanent/ Contract: Permanent
Is it Onsite/Remote/Hybrid: Onsite
If interested, please share your resume to divya.s@cognisolglobal.com
Overview
The Data Scientist position is a pivotal role within our organization, tasked with transforming data into actionable insights that drive business strategies. This role contributes significantly to various projects aimed at harnessing the power of data to enhance decision-making processes. As we continue to integrate data science into our core operations, the data scientist will bridge technical expertise and business acumen to build predictive models, improve processes, and contribute to overall organizational efficiency. Candidates should possess a solid understanding of statistical models, machine learning algorithms, and data visualization techniques. This walk-in drive aims to attract passionate individuals who are eager to explore the latest technologies and techniques in data science while working collaboratively within a diverse team. We encourage innovative thinking and a strong analytical mindset, as this position is crucial for sustaining our competitive edge in an increasingly data-driven marketplace.
Key Responsibilities
• Develop and implement statistical models and algorithms to analyze complex datasets.
• Collaborate with cross-functional teams to identify data-driven opportunities for improvement.
• Transform raw data into meaningful insights using data mining techniques.
• Create data visualizations to convey analytical findings effectively.
• Design experiments for data collection and analysis to support business objectives.
• Utilize machine learning techniques to enhance predictive capabilities.
• Manage and manipulate sizeable datasets using SQL and other data tools.
• Continuously evaluate and improve model performance based on changing data inputs.
• Present analytical findings to non-technical stakeholders to influence strategic decisions.
• Stay current with industry trends and advancements in data science methodologies.
• Document data processes and methodologies for future reference.
• Support data governance and quality assurance initiatives.
• Participate in code reviews to ensure best practices in programming.
• Provide mentorship and support to junior data science staff.
• Engage in problem-solving discussions to overcome analytical challenges.
Required Qualifications
• Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field.
• Master’s degree or Ph.D. in Data Science or a related discipline preferred.
• Proven experience with data science projects and methodologies.
• Proficiency in programming languages like Python or R.
• Solid understanding of machine learning algorithms and frameworks.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Strong analytical and problem-solving skills.
• Familiarity with big data technologies like Hadoop or Spark.
• Experience in SQL for data manipulation and analysis.
• Excellent communication skills, both verbal and written.
• Ability to work collaboratively in a team environment.
• Detail-oriented with a focus on quality and accuracy.
• Ability to manage multiple projects and deadlines simultaneously.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud is a plus.
• Strong willingness to learn and adapt to new technologies.
• Experience in applying statistical methods to real-world problems.
Skills: sql,google cloud,tableau,aws,hadoop,python,spark,azure,statistical analysis,problem solving,r,data mining,statistical modeling,data visualization,power bi,big data technologies,machine learning,critical thinking
💡 Quick Summary
Seeking a career-building opportunity? The Data Science (Walk-in Drive @ Bangalore, 1-Mar-2026) position is now open for candidates interested in the Software Developer Jobs sector. This role in Bangalore offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Software Developer Jobs is a plus.