Lifelancer
Location
Delhi | India
Job description
About the job
Sr. Data Scientist Position:
We are looking to hire an experienced data scientist to join us and help design and implement machine learning models within our AWS and Snowflake ecosystem. This includes monitoring performance and streamlining reporting processes.
We require at least 2 days per week in the Delhi office.
Sr. Data Scientist Job Responsibilities:
Handson with data science and machine learning projects
Understand companys current analytic capabilities and access to media platforms
Develop requirements and collaborate with analytic team leaders to integrate analytic solutions into companys or client product platforms.
You will be able to analyse client 1st party marketing interaction data and connect with 3rd party data sets.
Integrate APIs seamlessly to ensure smooth data flow and application functionality.
Use your data science experience to identify the best analytic approach to solve complex marketing problems facing B2B clients including:
Create deploy proprietary audience propensity models for media teams within the digital media activation ecosystem
Demonstrated knowledge of multichannel attribution to see each channels value and importance for a campaign
Experience in working within Media platforms to implement custom audience segmentation.
Experience in A/B testing within web email and advertising utilities.
Consult and approve ETL and data architecture within companys client data lake
Design develop and evaluate unsupervised supervised and reinforcement machine learning algorithms.
Development of multichannel marketing dashboards visualizations including management of data streams through ETL / Data connectivity platforms.
Sr. Data Scientist Qualifications / Skills:
Demonstrated proficiency working with business and technical teams to integrate algorithms into platforms using large datasets
Expert statistics skills such as distributions stat sig testing sample sizing regression etc.
Strong organizational communication and presentation skills
Proven ability in handling concurrent projects with attention to detail and accuracy
Familiarity with digital and media analytics
Education Experience and Licensing Requirements:
Masters degree in computational mathematical engineering or scientific field
5 years of industry experience in areas such as data science machine learning artificial intelligence and statistics application
Mastery of the following languages SQL Python R etc. Must.
Strong knowledge and experience working with APIs particularly RESTful APIs.
Proficient with AWS cloud services and Snowflake warehousing infrastructures
Experience manipulating structured and unstructured data sets
Ability to join explore and establish quality checks on data from various disparate sources
Capable of reducing vast amounts of unstructured data into manageable inputs that provide actionable insights
Ability to apply techniques to data with missing values outliers and inconsistent formatting
Please use the below link for job application and quicker response.
Remote Work :
No
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