Data Scientist

Pune - India

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

Your Responsibilities:

Building and maintaining dashboards tailored to the target audience to track key KPIs and in-depth reports;

Re-engineering the KPI logic to reflect the relevant data to be considered and to observe the cascading of the KPI tree;

Digging into data to uncover new use cases and identify potential areas for improvement;

Identifying and assisting with resolving data quality issues for accurate tracking and reporting;

Collaborating closely with product teams and stakeholders to enable data-driven processes;

Developing new KPIs as needed;

Storytelling based on various data sets builds up narratives and graphic visualizations meant to communicate data driven insights and to influence data driven decision making;

Promoting and educating product teams and (potential) stakeholders about data usage.

Oversee the entire data science project lifecycle from project scoping and planning to successful execution and delivery. You will manage resources effectively prioritize tasks and ensure projects are completed on time and within budget.

Contribute your in-depth knowledge of data science methodologies algorithms and tools. You will guide your team in the development and implementation of advanced analytics solutions that address complex business challenges.

Qualifications :

Proven ability to work collaboratively across cross-functional teams within large organizations fostering alignment and driving impactful outcomes.

Strong analytical and conceptual thinking skills with a keen ability to translate complex data into actionable insights.

Demonstrated experience in data visualization using platforms such as Looker Studio (preferred) MicroStrategy Tableau or other BI tools tailored to diverse audiences.

Solid understanding of Google Cloud Platform (GCP) analytical technologies including BigQuery ML IAM and Vertex AI for scalable machine learning workflows and model deployment.

Skilled in evaluating data coverage quality drift bias leakage risk and schema health with the ability to quantify issues using metrics such as missingness uniqueness and outlier detection.

Advanced expertise in data science and machine learning including classification regression clustering and optimization techniques. Additional knowledge in causal inference data engineering best practices and data visualization.

Proficient in SQL (BigQuery) and Python with hands-on experience using libraries such as scikit-learn TensorFlow PyTorch and Polars.

Experience leveraging Vertex AI for end-to-end ML lifecycle management including training tuning deployment and monitoring of models in production.

Self-aware positive and deeply committed to customer-centric solutions and continuous improvement.

Excellent fluency in English both written and verbal enabling effective communication across global teams.

Remote Work :

Employment Type :

Full-time

Your Responsibilities: Building and maintaining dashboards tailored to the target audience to track key KPIs and in-depth reports; Re-engineering the KPI logic to reflect the relevant data to be considered and to observe the cascading of the KPI tree; Digging into data to uncover new use cases and i...

Your Responsibilities:

Building and maintaining dashboards tailored to the target audience to track key KPIs and in-depth reports;

Re-engineering the KPI logic to reflect the relevant data to be considered and to observe the cascading of the KPI tree;

Digging into data to uncover new use cases and identify potential areas for improvement;

Identifying and assisting with resolving data quality issues for accurate tracking and reporting;

Collaborating closely with product teams and stakeholders to enable data-driven processes;

Developing new KPIs as needed;

Storytelling based on various data sets builds up narratives and graphic visualizations meant to communicate data driven insights and to influence data driven decision making;

Promoting and educating product teams and (potential) stakeholders about data usage.

Oversee the entire data science project lifecycle from project scoping and planning to successful execution and delivery. You will manage resources effectively prioritize tasks and ensure projects are completed on time and within budget.

Contribute your in-depth knowledge of data science methodologies algorithms and tools. You will guide your team in the development and implementation of advanced analytics solutions that address complex business challenges.

Qualifications :

Proven ability to work collaboratively across cross-functional teams within large organizations fostering alignment and driving impactful outcomes.

Strong analytical and conceptual thinking skills with a keen ability to translate complex data into actionable insights.

Demonstrated experience in data visualization using platforms such as Looker Studio (preferred) MicroStrategy Tableau or other BI tools tailored to diverse audiences.

Solid understanding of Google Cloud Platform (GCP) analytical technologies including BigQuery ML IAM and Vertex AI for scalable machine learning workflows and model deployment.

Skilled in evaluating data coverage quality drift bias leakage risk and schema health with the ability to quantify issues using metrics such as missingness uniqueness and outlier detection.

Advanced expertise in data science and machine learning including classification regression clustering and optimization techniques. Additional knowledge in causal inference data engineering best practices and data visualization.

Proficient in SQL (BigQuery) and Python with hands-on experience using libraries such as scikit-learn TensorFlow PyTorch and Polars.

Experience leveraging Vertex AI for end-to-end ML lifecycle management including training tuning deployment and monitoring of models in production.

Self-aware positive and deeply committed to customer-centric solutions and continuous improvement.

Excellent fluency in English both written and verbal enabling effective communication across global teams.

Remote Work :

Employment Type :

Full-time

Key Skills

Laboratory Experience
Immunoassays
Machine Learning
Biochemistry
Assays
Research Experience
Spectroscopy
Research & Development
cGMP
Cell Culture
Molecular Biology
Data Analysis Skills

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About Company

METROMAKRO

METRO is a leading international wholesale company with food and non-food assortments that specialises in serving the needs of hotels, restaurants and caterers (HoReCa) as well as independent traders. Around the world, METRO has 15 million customers who can choose whether to shop in o ... View more

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