Qureos Mentor

CHRYSELYS

<div><div><b>We&rsquo;re Hiring: Senior Associate &ndash; Insights &amp; Analytics at Chryselys</b></div><div><b>
Location:</b> Hyderabad</div><div>
<b>Department:</b> Insights &amp; Analytics</div><div>
<b>Job Type:</b> Full-time</div><div>
<b>Reports To:</b> Manager</div><div>
</div><div><b>About Us:</b></div><div><b>
Chryselys</b> is a Pharma Analytics &amp; Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations.</div><div>
We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights.</div><div><b>
Who we are:</b></div><div><b>
People -</b> Our team of industry veterans, advisors and senior strategists have diverse backgrounds and have worked at top tier companies.</div><div><b>
Quality -</b> Our goal is to deliver the value of a big five consulting company without the big five cost.</div><div><b>
Technology</b> - Our solutions are Business centric built on cloud native technologies.</div><div>
</div><div><b>Role Overview:</b></div><div>
As a Data Scientist Senior Associate at Chryselys, you will leverage advanced analytics, machine learning, and AI to transform complex datasets into actionable insights that drive strategic decision-making for our clients in the pharmaceutical and healthcare industries. You will work closely with cross-functional teams, including client stakeholders, business consultants, and analytics experts, to develop predictive models, optimize operations, and deliver innovative solutions that address critical business challenges.</div><div>
</div><div><b>Key Responsibilities:</b></div><ul><li>Design, develop, and implement machine learning models and algorithms to analyze pharmaceutical datasets (e.g., IQVIA, Symphony, Veeva, Open data) and provide actionable insights.</li><li>Utilize advanced statistical techniques and data science methodologies to drive insights from complex data sources.</li><li>Build and maintain data pipelines and scalable machine learning models on Data Lake architecture, leveraging cloud-based platforms such as AWS (Redshift, S3, SageMaker, etc.).</li><li>Collaborate with cross-functional teams to translate business problems into data science solutions.</li><li>Create and present data visualizations, dashboards, and reports using tools like PowerBI, Tableau, Qlik, QuickSight, and ThoughtSpot to communicate findings and recommendations to clients.</li><li>Conduct exploratory data analysis, data profiling, and feature engineering to prepare datasets for predictive modelling.</li><li>Evaluate model performance, optimize algorithms, and ensure robustness and accuracy in predictions.</li><li>Stay current with the latest advancements in data science, machine learning, and AI, and apply them to ongoing projects.</li></ul><div><b>
What You Bring:</b></div><ul><li><b>Education:</b> Bachelor's or master's degree in data science, statistics, computer science, engineering, or a related quantitative field with a strong academic record.</li><li><b>Experience:</b> 2-5 years of experience in data science, particularly in the pharmaceutical or healthcare industry, working with key datasets like Sales, Claims, and Payer data.</li><li><b>Skills:</b>
</li></ul><div>&sect; Proficiency in programming languages such as Python and R, with a deep understanding of libraries like TensorFlow, Scikit-learn, and Pandas.</div><div>
&sect; Strong experience with SQL and cloud-based data processing environments such as AWS (Redshift, Athena, S3), and experience with Jupyter Notebooks/SageMaker.</div><div>
&sect; Demonstrated ability to build data visualizations and communicate insights through tools like PowerBI, Tableau, Qlik, QuickSight, or similar.</div><div>
&sect; Strong analytical skills, with experience in hypothesis testing, A/B testing, and statistical analysis.</div><div>
&sect; Ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced environment.</div><div>
&sect; Excellent communication and presentation skills, with the ability to explain complex data science concepts to non-technical stakeholders.</div><div>
&sect; A strong problem-solving mindset, with the ability to adapt and innovate in a dynamic consulting environment.</div><div>
</div><div><b>How to Apply:</b></div><div>
Ready to make an impact? Apply now by clicking [here] or visit our careers page at https://chryselys.com/chryselys-career</div><div>
Please include your resume and a cover letter detailing why you&rsquo;re the perfect fit for this role.</div><div>
</div><div><b>Equal Employment Opportunity:</b></div><div>
Chryselys is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</div><div><b>
Connect with Us:</b></div><div>
Follow us for updates and more opportunities: https://linkedin.com/company/chryselys/mycompany</div><div><b>
Discover more about our team and culture:</b> http://chryselys.com</div></div><div></div>

Senior Associate, Insights & Analytics

<div><div><b>Associate - Data Engineering</b></div><div>
</div><div><b>
Roles &amp; Responsibilities</b>:</div><div>
</div><ul><li>We are looking for a Data Engineering who will be majorly responsible for <b>building and maintaining ETL/ ELT pipelines</b>.</li><li>You are expected to build and manage Data warehouse solutions, data models, creating ETL processes, implementing data quality checks etc.</li><li>Support data enablement across applications and build Data Quality enhancements.</li><li>Responsible for performing EDA (exploratory data analysis), troubleshoot data related issues, integrating various data sets etc.</li></ul><div><b>
</b></div><div><b>
Required Technical Skills</b></div><div>
</div><ul><li>Extensive experience in <b>Python, Pyspark, SQL</b>.</li><li>Strong experience in Data Warehouse, ETL, Data Modelling, <b>ETL Pipelines, Snowflake</b> database.</li><li>Must be proficient in <b>Databricks</b>, <b>Dataiku</b>, Alteryx.</li><li>Good experience in creating and operationalizing ARDs.</li><li>Hands-on experience in cloud services like Azure, AWS- S3, Glue, Lambda, CloudWatch, Athena.</li><li>Sound knowledge in end-to-end Data management, data ops, quality and data governance.</li><li>Experience in <b>developing agents to automate the data processes</b> and improve quality and governance</li><li>Exposure to Data Lineage and Metadata to build AI ready foundational data</li><li>Know-how of Agentic AI and other automation technologies will be a plus.</li><li>Knowledge of SFDC, Waterfall/ Agile methodology.</li></ul><div>
</div><div><b>Qualifications</b></div><div>
</div><ul><li>Bachelor&rsquo;s or master&rsquo;s Engineering/ MCA or equivalent degree.</li><li><b>1-3 years of relevant industry experience as Data Engineer</b>.</li><li>Experience working in Pharma domain working on various data sets such as IQVIA, Veeva, Symphony; Claims, CRM, Sales etc.</li><li>High motivation, good work ethic, working independently, self-organized and personal initiative.</li><li>Ability to work collaboratively and providing the support to the team.</li><li>Excellent written and verbal communication skills.</li><li>Strong analytical and problem-solving skills.</li></ul><div><b>
Location</b></div><div><b>
</b></div><ul><li>Preferably Hyderabad/ Chennai, India</li></ul><div></div><div><b><br>
</b></div><div><b>
About Us</b></div><div>
</div><div>
Chryselys is a US based Pharma Analytics &amp; Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations.</div><div>
</div><div>
Chryselys was founded in the heart of US Silicon Valley in November 2019 with the vision of delivering high-value business consulting, solutions, and services to clients in the healthcare and life sciences space. We are trusted partners for organizations that seek to achieve high-impact transformations and reach their higher-purpose mission.</div><div>
</div><div>
Chryselys India supports our global clients to achieve high-impact transformations and reach their higher-purpose mission.</div><div>
</div><div>
Please visit:</div><div>
https://linkedin.com/company/chryselys/mycompany</div><div>
https://chryselys.com for more details.</div></div><div></div>

Associate - Data Engineering

Join CHRYSELYS and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

CHRYSELYS

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Senior Associate, Insights & Analytics

Associate - Data Engineering

Associate - Data Engineering