data science team lead

EMIRATES GLOBAL ALUMINIUM (EGA)

<p>KEY ACCOUNTABILITIES:</p><ul><li>Effectively communicate the analytics approach and how it will meet and address objectives to business partners</li><li>Advocate and educate on the value of data driven decision making focusing on the “how and why” of solving problems</li><li>Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers</li><li>Expert in Developing data science capability and can advocate the importance of continuous learning to the data science team. knows how to develop data science capability across the wider organisation and in industry. Sets as a role model of best practice through demonstration of his own self-directed learning. You set the data science curriculum across the organisation.</li><li>Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products</li><li>Ensure consistent and high quality data science standards and tools are deployed and developed within the organization</li><li>Engineer features by using business acumen to find new ways to combine disparate internal and external data sources</li><li>Share passion for Data Science with broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards</li><li>Collaborate, coach, and learn with a growing team of experienced Data Scientists</li><li>provides leadership and direction across a programme of multidisciplinary data science projects, managing resources to ensure delivery.</li><li>Recognised as a strategic authority with technical expertise in cutting-edge techniques, defining vision across the organisation</li><li>Communicates with senior stakeholders and convince them of the strategic value of applying data science</li><li>Stay connected with external sources of ideas through conferences and community engagements</li></ul><p>AUTHORITY/ DECISION MAKING:</p><ul><li>Thinking within broadly defined policies, standards and objectives. The determination of “what needs to be done” in applying polices is largely left up to the incumbent who must establish the plan, determine the priorities and prescribe the processes needed to achieve the objectives</li><li>Subject to general direction and broadly defined functional policy objectives. Actions which will impact other functional or operating areas usually require approval before they may be implemented.</li></ul>

Principal Data Scientist

Envision Employment Solutions

Envision Employment Solutions is currently hiring a Data Science Manager on behalf of one of our partners, a leader in the retail Motor Vehicles field.
<br><br>
<b>Job Summary:</b><br>
As a Data Science Manager, you will manage and guide a multidisciplinary team of data scientists, BI analysts, and data engineers. Your primary responsibility will be to lead the development and implementation of advanced analytics, business intelligence solutions, and data engineering processes that drive strategic business insights and decision-making. You will ensure the successful execution of data projects, maintain high data integrity, and align data initiatives with overarching business goals. You'll be a part of a diverse and dynamic team that values ownership and encourages positive disruption.
<br><br>
<b>Responsibilities:</b><br>
<ul>
<li>Manage, mentor, and develop a multidisciplinary team of data scientists, BI analysts, and data engineers, fostering a culture of collaboration and innovation.</li>
<li>Lead the development and implementation of advanced analytics, business intelligence solutions, and data engineering processes to address complex business challenges.</li>
<li>Work with cross-functional teams to uncover opportunities for leveraging data to drive business strategies and solutions.</li>
<li>Ensure the accuracy, reliability, and integrity of data used in analysis, modeling, and reporting.</li>
<li>Communicate findings and insights to senior management and other key stakeholders in a clear and impactful manner.</li>
<li>Stay abreast of the latest advancements in data science, machine learning, BI tools, and data engineering technologies.</li>
<li>Oversee the deployment of machine learning models into production systems and ensure seamless integration with BI and data engineering solutions.</li>
<li>Maintain comprehensive documentation of data science, BI, and data engineering processes, methodologies, and best practices.</li>
<li>Monitor and optimize the performance of data systems and solutions across the organization.</li>
</ul>
<b>Requirements:</b><br>
<ul>
<li>5 to 7 years in a data-related role, with at least 2 years in a leadership or managerial position.</li>
<li>Extensive experience in statistical analysis, machine learning, business intelligence, and data engineering.</li>
<li>Proficiency in programming languages such as Python or R.</li>
<li>Strong proficiency in BI tools such as Tableau, Power BI, or Looker.</li>
<li>Advanced SQL skills, with the ability to query and manipulate complex data sets efficiently.</li>
<li>Experience with data warehousing concepts and technologies (e.g., Google BigQuery, Snowflake).</li>
<li>Proficient in data modeling, ETL (Extract, Transform, Load) processes, and data pipeline development.</li>
<li>Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.</li>
<li>Excellent communication skills, capable of presenting complex information clearly and concisely.</li>
<li>Proactive, innovative mindset with keen attention to detail.</li>
<li>Ability to manage multiple projects and priorities in a fast-paced environment.</li>
<li>Experience with data visualization tools and techniques.</li>
<li>Having an automotive background is a PLUS.</li>
</ul>


Data Science Manager

eClerx

<div><div>The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates and supervisors.<br>
</div><div></div><p><b>Role and responsibilities:
</b></p><div>Leadership and Mentorship<br>
</div><div></div><div><ul><li><div><b>Team Leadership : </b>Lead and mentor a team of Data Scientists and Analysts, guiding them in best practices, Advanced m&eacute;thodologies, and carrer development.
</div></li></ul><ul><li><div><b>Project Management </b>: Oversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results.
</div></li></ul><ul><li><div><b>Innovation and Continuous Learning </b>: Stay at the forefront of industry trends, new technologies, and m&eacute;thodologies, fostering a culture of innovation within the team.<br>
</div></li></ul></div><div></div><div>Collaboration with Cross-Functional Teams<br>
</div><div></div><div><ul><li><div><b>Stakeholder Engagement : </b>Work closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions.
</div></li></ul><ul><li><div><b>Communication of Insights </b>: Present complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions.<br>
</div></li></ul></div><div></div><div>Advanced Data Analysis and Modeling<br>
</div><div></div><div><ul><li><div><b>Develop Predictive Models </b>: Create and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting.
</div></li></ul><ul><li><div><b>Quantitative Research </b>: Conduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets.
</div></li></ul><ul><li><div><b>Statistical Analysis : </b>Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk.<br>
</div></li></ul></div><div></div><div>Business Impact and ROI<br>
</div><div></div><div><ul><li><div><b>Performance Metrics : </b>Define and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance.
</div></li></ul><ul><li><div><b>Cost-Benefit Analysis : </b>Perform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI).<br>
</div></li></ul></div><div></div><div>Algorithmic Trading and Automation<br>
</div><div></div><div><ul><li><div><b>Algorithm Development : </b>Develop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques.
</div></li></ul><ul><li><div><b>Back testing and Simulation : </b>Conduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions.<br>
</div></li></ul></div><div></div><div><b>What we're looking for
</b></div><div><ul><li><div><b>Advanced Statistical Techniques : </b>Expertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics.
</div></li></ul><ul><li><div><b>Machine Learning and AI </b>: Proficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP).
</div></li></ul><ul><li><div><b>Programming Languages : </b>Strong coding skills in languages like Python, commonly used for data analysis, modeling, and automation.
</div></li></ul><ul><li><div><b>Data Management : </b>Experience with big data technologies, and relational databases to handle and manipulate large datasets.
</div></li></ul><ul><li><div><b>Data Visualization : </b>Proficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders.
</div></li></ul><ul><li><div><b>Cloud Computing </b>: Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions.
</div></li></ul><ul><li><div><b>Quantitative Analysis : </b>Deep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics.
</div></li></ul><ul><li><div><b>Algorithmic Trading : </b>Experience in developing and back testing trading algorithms using quantitative models and data-driven strategies.<br>
</div></li></ul></div><div></div><div><b>Requirements :<br>
</b></div><div></div><div><ul><li><div>A bachelor's degree in a related field, such as computer science, data science or statistics.
</div></li></ul><ul><li><div>Proven experience of 8+ years in programming languages, machine learning, data visualization and statistical analysis.</div></li></ul></div></div>

Process Manager

Unidos Technology

<p>Dear candidates,</p><p><b>Job Description</b>:</p><p>Application of the latest AI technology for the development of algorithms</p><p>Establishment of a data science team</p><p><b>Responsibilities</b>:</p><p>&middot; Knowledge and experience in Python, C++, R, or other relevant programming experience and version control</p><p>&middot; Practical understanding of SQL and NoSQL databases</p><p>&middot; Experience in the application of various machine learning algorithms and deep learning algorithms</p><p>&middot; Experience in statistical data analysis and data visualization</p><p>&middot; Experience in working in project teams</p><p>&middot; Experience in setting up and managing a data science team</p><p>&middot; In-depth knowledge in a specific area of ML / data science / statistics</p><p>&middot; Experience in the design and development of services and applications</p><p>&middot; Strong communication skills in English (written and spoken)</p><p><b>Requirements</b>:</p><p>Completed studies with a focus on machine learning, mathematics, data science, computer science, statistics, etc. or a comparable education</p><p><b>Experience: </b>15 to 18 Years</p><p>Job Type: Full-time</p><p>Pay: &#8377;1,528,352.87 - &#8377;2,573,285.23 per year</p><p>Benefits:</p><ul><li>Health insurance</li><li>Provident Fund</li></ul><p>Work Location: In person</p>

Lead Data Scientist

Kempinski Hotel

<div>
<p>  Data Strategy &amp; Infrastructure</p>
<ul>
<li>Collaborate with IT teams to enhance data pipelines, governance, and infrastructure for advanced analytics tools, initially focused on revenue management.</li>
<li>Design and oversee the development of Revenue Management Tools and data infrastructure, overseeing multiple providers.</li>
<li>Define and enforce data standards, quality measures and reporting consistency across commercial organization, including the identification of new data streams that would augment the quality of algorithms and modelling.</li>
<li>Ensure the quality, integrity, and accessibility of key data sources relevant to all Commercial organization, supporting the team in data availability.</li>
<li>Champion a data-driven culture across all business units, working closely with cross-functional teams (strategy, finance, operations, digital) to align analytics with strategic objectives.</li>
<li>Serve as an internal thought leader on emerging trends, tools and applications of data science in the travel and leisure sector.</li>
<li>Build a high-performing data science team (year 2 onwards)</li>
</ul>
<p>  Revenue Management Strategy</p>
<ul>
<li>Partner with commercial teams to develop data-driven tools for forecasting, pricing, product mix, inventory and channel optimization.</li>
<li>Support dynamic pricing and demand management initiatives through data automation and real-time analytics.</li>
<li>Develop algorithms to enhance channel mix, distribution strategy, and profitability. o Build recommendation engines for upselling, cross-selling, and dynamic packaging.</li>
<li>Scale up the tools across the organization.</li>
<li>Contribute to widespread adoption of implemented tools by ensuring proper understanding of functionality and business logics by end users, capturing feedback and enhancement suggestions from user community that can be prioritized and packaged in future releases.</li>
</ul>
</div>

Data Scientist Senior Manager

Axion

<div><p><b>About AxionRay</b></p><p>
Axion Ray&rsquo;s mission is to improve the quality and safety of engineered products - airplanes, electric vehicles, and medical devices, by creating the world&rsquo;s best proactive management platform, powered by the latest advances in artificial intelligence. We're revolutionizing the way next-gen vehicles are made and are partnering with forward-looking engineering leaders to create and deploy AI models that will accelerate our speed to an electric and supersonic future. Axion leverages bleeding-edge tech &amp; AI stack - including Generative AI and NLP/LLMs - to solve real-world problems.</p><p><br>
Our team includes experts in Enterprise AI from Palantir, McKinsey &amp; QuantumBlack, and other top tech companies.</p><p><br>
Since our founding at the onset of 2021, we&rsquo;ve deployed across some of the largest Automotive and Aerospace companies in the world. If you want the chance to help build the future of engineering, join us!</p><p><b><br>
What you will do:</b></p><h3 class="jobSectionHeader"><b>
Business &amp; Product Alignment</b></h3><ul><li><p>
Partner with business/product stakeholders to translate initiatives into clear analytics scope.</p></li><li><p>
Understand manufacturing data from clients, and devise strategies to solve pain points and add business value.</p></li></ul><h3 class="jobSectionHeader"><b>
Project Management &amp; Problem Solving</b></h3><ul><li><p>
Own End to End project delivery through effective prioritization, resource allocation, timeline management and stakeholder communication.</p></li><li><p>
Unblock and mentor analytics teams using technical expertise in the Analytics, ML, LLM and related field.</p></li><li><p>
Lead the topic collaborations with the Engineering/product/Data Science team for better solutions and their implementation for efficient project delivery.</p></li><li><p>
Expert in data story building based on data driven insights and solutions.</p></li><li><p>
Ensure solutions are complete and aligned with objectives via stand-ups and iterative course corrections.</p></li></ul><h3 class="jobSectionHeader"><b>
Team Management</b></h3><ul><li><p>
Lead and mentor team of analysts. Conduct regular 1:1s, provide actionable feedback, and ensure team welfare.</p></li><li><p>
Plan long-term talent needs and collaborate with hiring to build a high-performing team.</p></li></ul><p><b>
Who you are:</b></p><ul><li><p>
Experience of minimum<b> 1- 4 years</b>, working with renowned manufacturing/ Aerospace/Consumer/Automotive and product company or startups</p></li><li><p>
Techstack/Tools : <b>Python, Excel, SQL, ML, NLP, LLM</b> and related fields</p></li><li><p>
Experience managing a team of data analysts end-to-end including onboarding to performance management cycle</p></li><li><p>
Can understand business objectives/requirements and deliver through actionable insights and data storytelling using technical/domain expertise</p></li><li><p>
Entrepreneurial and driven. Excited to be part of a fast-growing SaaS company, set high standards, and deliver world-class results, demonstrating flexibility and adaptability as needed in a <b>startup environment.</b></p></li><li><p>
Excellent written and verbal communication skills.</p></li><li><p>
Experience with a startup.</p><p><b>
Location - Hybrid ( Bengaluru )</b></p></li></ul><p>
Axion Ray is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state, or local laws.<br>
<b>Axion Ray does not accept unsolicited resumes from 3rd party recruitment agencies and is not responsible for fees from recruiters or other agencies except under specific written agreement with Axion Ray</b></p></div>

Lead/ Manager Analytics

Cognizant Technology Solutions

<div></div><div><p><b>Job Summary</b></p><p>
The Manager-Data Science will play a crucial role in driving data-driven decision-making processes within the organization. With a focus on leveraging machine learning and artificial intelligence the candidate will lead data science projects that enhance business operations. The role requires a strong foundation in Python and offers an opportunity to work in a hybrid model ensuring a balance between work and personal life.</p><p><b><br>
Responsibilities</b></p><ul><li>
Lead data science initiatives to support strategic decision-making and operational efficiency.</li><li>
Oversee the development and implementation of machine learning models to solve complex business problems.</li><li>
Collaborate with cross-functional teams to integrate AI solutions into existing systems.</li><li>
Provide insights and recommendations based on data analysis to improve business processes.</li><li>
Ensure the accuracy and reliability of data-driven models and algorithms.</li><li>
Develop and maintain scalable data pipelines and infrastructure.</li><li>
Monitor and evaluate the performance of data science projects to ensure alignment with business goals.</li><li>
Mentor and guide junior data scientists in best practices and advanced techniques.</li><li>
Stay updated with the latest trends and advancements in data science and AI.</li><li>
Foster a culture of innovation and continuous improvement within the team.</li><li>
Communicate findings and insights to stakeholders in a clear and concise manner.</li><li>
Utilize Python for data manipulation analysis and visualization tasks.</li><li>
Collaborate with investment banking teams to tailor data solutions to industry-specific needs.</li></ul><p><b><br>
Qualifications</b></p><ul><li>
Possess a strong background in machine learning and artificial intelligence with practical experience.</li><li>
Demonstrate proficiency in Python programming for data science applications.</li><li>
Have experience in investment banking operations and brokerage as a nice-to-have skill.</li><li>
Exhibit excellent problem-solving skills and the ability to work in a fast-paced environment.</li><li>
Show strong communication skills to effectively convey technical concepts to non-technical stakeholders.</li><li>
Display leadership qualities to guide and mentor team members.</li><li>
Be adaptable to hybrid work models and manage time efficiently.</li></ul></div>

Manager-Data Science

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