Bangalore, Karnataka, India
Information Technology
Full-Time
MathCo
Overview
Immediate to 30days joiners.
Job Title : Senior Data Scientist MMM (Market Mix Modeling).
Mandatory skill MMM.
Job Location : Bangalore, Karnataka, India.
Job Description :
As a Senior Data Scientist, you will apply your expertise in statistics, machine learning, and data analysis to extract valuable insights from structured and unstructured data.
You will work closely with cross-functional teams to develop predictive models, improve business processes, and contribute to data-driven decision-making across the organization.
Tech :
Required Skills (Must have) :
Tech :
As Senior Data Scientist, you will be responsible for a wide range of engagements listed below :
Job Title : Senior Data Scientist MMM (Market Mix Modeling).
Mandatory skill MMM.
Job Location : Bangalore, Karnataka, India.
Job Description :
As a Senior Data Scientist, you will apply your expertise in statistics, machine learning, and data analysis to extract valuable insights from structured and unstructured data.
You will work closely with cross-functional teams to develop predictive models, improve business processes, and contribute to data-driven decision-making across the organization.
Tech :
Required Skills (Must have) :
- Advanced programming knowledge in Python and SQL.
- Advanced knowledge in Probability and Statistics, including hypothesis testing.
- Advanced knowledge in Practical Machine Learning and awareness of the key-pitfalls in the practice of machine learning and approaches to addressing them.
- Advanced knowledge of data visualization technologies like Tableau, and PowerBI, and comfortable using relevant libraries in Python like seaborn and matplotlib.
- Experienced in modern development tools and writing code collaboratively.
- Intermediate knowledge of Cloud technologies and experience in developing data science solutions in one or more cloud platforms.
- Experienced in modern development tools, writing code collaboratively and developing solutions on cloud platforms.
- Ability to recognize and pursue pragmatic alternatives vis-- -vis a perfect solution, balancing priorities of time with potential business impact.
- iPlan projects, break them down across individual data scientists in the team, track their performance and manage risks.
- Ability to storyboard an entire presentation to a non-technical audience.
- Ability to work independently to develop data science solutions, while also being able to work as part of a team to communicate findings and collaborate on solutions.
- Strong written skills.
- This is required for submitting technical papers, whitepapers, and developing project documentations.
- Technical leadership and mentorship to the community of data scientists in the organization.
Tech :
- Advanced knowledge in one or more areas besides Machine Learning Operations Research, Natural Language Processing, Deep learning and its applications, Time Series forecasting at scale.
- Reinforcement Learning, Graph Machine Learning, Explainable Machine learning.
- Advanced understanding of Cloud technologies and experience of deploying applications on cloud.
- Ability to solution critical business problems into its component parts and match each such part with an appropriate technical approach.
As Senior Data Scientist, you will be responsible for a wide range of engagements listed below :
- Formulates complex problems into hypotheses and proofs of concept for testing.
- Socializes this with the rest of the team and guides them to deliver on it.
- Applies business acumen in analyses to extract meaningful and actionable information.
- Communicates complex ideas and insights effectively to stakeholders with various levels of technical experience.
- Leverages various analytical techniques, appropriate to solving the business problem at hand.
- Performs research for solutions and solves problems efficiently to overcome data analytics challenges.
- Engages in the collection, integration, analysis, and presentation of data for various business contexts.
- Understands good software development practices (versioning, peer reviews, refactoring, and pair programming), adapts them to the needs of the team and sets an example for others by following them.
- Creates and maintains technical documentation of the scientific experimentations performed, preferably in the CRISP-DM framework or like.
- Keeps up with the latest trends, technologies, and best practices in the field of Data Science and Engineering.
- Shares this knowledge with the rest of the data science team.
- Does peer reviews of codes and approaches of fellow members of the data science team.
- Provides mentorship to junior data scientists in the team.
- Looks for improvements in data science delivery processes, actively seeks buy-in on the improvements from peers and managers, implements them in the team and monitors their adoption.
- 4 to 6 years' experience is mandatory.
- Python.
- SQL.
- Machine-Learning.
- Power-Bi.
- Tableau.
- (ref:hirist.tech)
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