Data Scientist

Purpose of the Job

Data Scientist leads and drives advanced AI initiatives within  the organization. By leveraging  advanced  statistical methods,  machine learning, and programming, the  Data Scientist  is responsible  for  designing and  implementing complex  AI  solutions. This role involves innovatively solving business problems, optimizing algorithms, and deploying AI models to provide data-driven insights that align with the organization's strategic goals. Additionally, the Data Scientist ensures efficient workflows, automates processes, and  effectively  communicates  insights  to stakeholders,  aiming  to  enhance  productivity, strategic decision-making, and overall business success. 

Job Description  

Responsibilities & Accountabilities 

• Lead the design and development  of complex AI solutions,  employing advanced  techniques  to  optimize algorithms and data sets for superior performance. 
• Design and implement experiments to rigorously evaluate AI solution performance  and provide valuable insights for refinement. 
• Develop detailed AI solution  requirements and effectively manage the development  process, adapting to changing circumstances and requirements. 
• Collaborate effectively with cross-functional teams and stakeholders, ensuring successful delivery while adapting to evolving needs and circumstances. 
• Stay updated  with the latest trends  and advancements  in AI technology, incorporating newfound  knowledge into  solution  design and development. 
• Apply  mastery of statistical methods, machine learning algorithms, and programming languages to analyze unstructured data and derive actionable insights.  
• Develop novel modeling techniques  and algorithms, utilizing advanced methodologies  like Bayesian inference, reinforcement learning, and causal inference. 
• Create scalable models capable of handling large volumes of real -time data, ensuring transparency and explainability in the model's functioning. 
• Develop models that  inform strategic decision-making at the highest organizational levels, leveraging advanced machine learning techniques. 
• Align business objectives  with innovative  data science solutions,  proactively identifying opportunities  for data-driven insights and product  innovations.  
• Develop and implement advanced AI models, utilizing techniques  like transfer learning, ensemble methods, and neural networks  for complex problem -solving. 
• Design and implement efficient workflows, automate data -related tasks, and lead process improvement  initiatives to enhance productivity  and data accuracy.  
• Lead product development  efforts, demonstrating an understanding  of the business model and leveraging data for product decision-making and roadmap planning.  Ethical Product Development:  Understand  and consider the  ethical and legal implications of data-driven products  and solutions,  ensuring responsible  and compliant development  practices. 

Performance Measurement 

• AI Solution  Effectiveness:  Measure the effectiveness of AI solutions  developed by assessing their impact on solving complex business  problems. 
• Model Performance and Optimization: Evaluate and optimize machine learning models to  ensure they meet predefined performance metrics and business objectives. 
• Innovative  Solutions Impact: Assess  the impact of innovative data science solutions on driving insights, product  offerings, and business growth. 
• Efficiency and Productivity: Evaluate the efficiency and productivity improvements achieved through process  automation  and optimization. 
• Stakeholder  Communication: Assess  the effectiveness of communication  and collaboration with stakeholders  in delivering successful AI solutions. 
• Adaptability and  Learning: Measure adaptability to changing requirements and the ability to quickly learn and apply new technologies and methodologies. 
• Product  Alignment and User Impact: Evaluate the alignment of data -driven products with  business  goals and their impact on improving user experiences and satisfaction.  
• Ethical and Legal Compliance: Monitor compliance with ethical and legal standards in the development  of data-driven products  and solutions. 

Educational and Experience Requirements 

• Ph.D. or Master's in Computer Science, Data Science, or related field. 
• 5+  years in data science, machine learning, and AI, with  progressive tech leadership roles. 
• Strong Python,  R, SQL, and advanced statistical and ML techniques. 
• Designing tailored ML models, optimizing algorithms, and AI solution deployment. 
• Designing efficient workflows, automation, and process improvements. 
• Exceptional communication and leadership skills, managing data science teams.  
• Driving innovation, staying updated  with emerging tech, and ensuring ethical compliance.  
• Effective collaboration, adaptability to changing requirements and circumstances.  

Competencies and Behaviors 

• Strong advanced statistical methods, machine learning, and programming languages (Python, R, SQL). 
• Innovative  Problem-Solving: Proactive in identifying innovative data -driven insights, leveraging cutting-edge technologies, and challenging existing approaches. 
• Expertise in designing and deploying complex AI solutions, optimizing algorithms, and integrating models effectively. 
• Proficient in automating workflows,  improving processes, and enhancing efficiency in data collection, cleaning, analysis, and reporting. 
• Strong communication  skills to convey complex insights to stakeholders  and effective leadership in managing data science teams. 
• Willingness to stay updated  with emerging trends, methodologies, and technologies, and adapt to  changing requirements in the field. 
• Understanding  and adherence to ethical and  legal implications related to data -driven products  and solutions. 
• Effective collaboration with cross-functional teams and stakeholders,  ensuring successful project delivery through teamwork. 
• Demonstrated  contributions through research publications and thought  leadership in the data science domain. 
• Ability to align data science goals with broader business objectives, leveraging insights for strategic decision-making. 
• Understanding  and integrating user needs and experiences into product development,  using data to drive user-centric decisions. 
• Ability to adapt to  changing requirements and circumstances, ensuring the successful delivery of AI solutions  in dynamic environments. 
• Efficiently manage time and prioritize tasks to meet project deadlines and organizational goals. 
• Commitment to maintaining high-quality standards, adhering to compliance requirements, and ensuring data accuracy and validity.

Base Salary Range: $133,687.50 - $178,250.00. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense’s total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense’s board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote

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