Job Description :
- Deliver complex analytics projects, providing data-driven insights to address critical business challenges by analysing dis aggregated data utilising modelling, statistics, and machine learning.
- Work with diverse data sets to clean, manipulate, and analyse data using tools such as R, Python, and SQL
- Apply a range of statistical techniques and modelling processes to transactional and
attitudinal data to help answer our clients business questions
Develop expertise in all our analytical solutions, understanding their technical intricacies and their value to clientsShare analytical best practices and insights across teams to foster alignment and continuous improvement and development of advanced analytical techniquesSimplify and explain complex analytical concepts in a clear and concise manner, tailoring explanations to different audiencesSupport the continuous improvement and development of our advanced analytical techniques and how we run themCommunicating insights and helping to structure the data roadmapRespect our five core values - Client First, Excellence, Integrity, Respect, and and skill sets required to apply for this role :Interested in working for a high-growth firm where your analysis drives important decisions.Strong communication skills enabling you to clearly communicate your thoughts / work to the client or internal teams.Certification or Experienced in (SQL, Tableau / Power BI, Python, and Machine Learning)Act as an analytical expert on projects, providing advice internally to ensure that our approaches and outputs remain best-in-classBachelor's or Master's degree in Data Science / AI and work experience or PhD in relevant area1+ Years Experience in Data Science , Machine learning use cases especially in Business areas Sales, Marketing , Customer Success etc.Hands-on experience operating in Jupyter notebooks or Databricks or Snowflake or AWSStrong experience in writing, analyzing, and troubleshooting SQL.Independent thinkers and doers and not order takers.Experience with operationalizing Data science models in production environments and CI-CD is a plus(ref : hirist.tech)