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Flair Deck Consulting pvt ltd

<div><strong>Job Summary:</strong></div><div>We are seeking an experienced Data Scientist to join our team. The ideal candidate will have a passion for data analytics and a strong desire to work with big data to create meaningful insights that drive business decisions. As a Data Scientist, you will be responsible for developing and implementing statistical models, Machine Learning/ Deep Learning Models, data visualizations, and predictive analytics to solve complex business problems.</div><div>&nbsp;</div><div><strong>Key Responsibilities:</strong></div><div>1.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Analyse large, complex datasets to identify patterns, trends, and insights using statistical techniques and machine learning algorithms</div><div>2.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Perform <strong>Data pre-processing techniques</strong> such as feature engineering, data cleaning, and data normalization specific to the project for development &amp; deployment</div><div>3.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Design, Develop and implement predictive models to improve business outcomes and provide insights to key stakeholders</div><div>4.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Design and implement known validation &amp; tests to evaluate the effectiveness of different models and algorithms</div><div>5.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Build and maintain <strong>data pipelines and ETL processes</strong> to ensure high-quality data inputs and outputs</div><div>6.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Collaborate with cross-functional teams to develop and implement data-driven solutions</div><div>7.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Create data visualizations and reports to effectively communicate insights and recommendations to non-technical stakeholders</div><div>8.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Stay up to date with the latest data science tools and techniques and identify opportunities to apply them to solve business problems</div><div>&nbsp;</div><div><strong>Qualifications</strong>:</div><div>1.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field</div><div>2.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;3-5 years of experience in data science or related field</div><div><strong>Must Technical Skills</strong>:</div><div>1.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong programming skills in Python or R</div><div>2.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong analytical and problem-solving skills</div><div>3.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience with data visualization tools such as Tableau or Power BI or Plotly etc</div><div>4.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Familiarity with structured, unstructured, and database management example SQL</div><div>5.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Knowledge of deep learning frameworks example TensorFlow or PyTorch</div><div>6.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Ability to design and implement known tests to evaluate the effectiveness of different models and algorithms</div><div>7.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience with data preprocessing techniques such as feature engineering, data cleaning, and data normalization</div><div>8.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Familiarity with time-series analysis and forecasting techniques</div><div>9.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform (Optional)</div><div>10.&nbsp;&nbsp;Familiarity with PowerPoint would be handy</div><div>&nbsp;</div><div>&nbsp;</div><div><strong>Soft Skills</strong></div><div>1.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Excellent communication and collaboration skills</div><div>2.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Understanding of agile development methodologies and experience working in an agile team environment.</div><div>3.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Demonstrate the candidate's versatility and adaptability to new challenges.</div><div>4.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;A self-starter who enjoys working in a fast-paced, dynamic environment</div><div>5.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Passionate about data science</div><h3><br></h3>