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senior data scientist

Enable Data

Enable Data Incorporated is looking for a talented and experienced Senior Data Scientist to join our innovative team. In this role, you will be responsible for driving data science initiatives, developing predictive models, and providing insights that guide key business decisions. The ideal candidate has a strong background in statistical analysis, machine learning, and big data technologies, and is enthusiastic about applying data-driven solutions to complex business problems.
<br>As the Senior Data Scientist, you will collaborate closely with cross-functional teams, including engineering, product management, and business stakeholders. You will leverage your expertise to design and implement advanced analytics solutions that optimize our clients’ operations and enhance their product offerings.
<br>This is an exciting opportunity for a pro-active leader with a passion for data science and a proven track record of delivering impactful results.
<br><br>
<b>Requirements:</b><br>
<b>Required qualifications:</b><br>
<ul>
<li>7+ years of experience in data science or a related field, with a strong emphasis on machine learning and predictive modeling.</li>
<li>Proficiency in programming languages such as Python</li>
<li>Deep understanding of statistical analysis, machine learning algorithms, and data mining techniques</li>
<li>Classical Machine Learning, Statistical analysis and and Data Science</li>
<li>Python libraries like Pandas, Numpy, scikit-learn, TensorFlow, Keras</li>
<li>Practical experience with Databricks</li>
<li>SQL proficiency</li>
<li>Generative AI solutions (and fine tuning) utilizing LLMs such as GPT, Claude, and LLaMA</li>
<li>Libraries such as LangChain, Transformers, OpenAI SDK, or Hugging Face</li>
</ul>


Senior Data Scientist

KBM Technosoft Bangalore

<p>Greetings from KBM Technosoft !!!</p><p>KBM Technosoft One of the leading Top HR consultancy in India. Looking for <b>Data Scientist</b></p><p><b>Data Scientist</b></p><p>Experience Level: Senior ( 5+ years, preferably more)</p><p>Location : Bangalore</p><p>Qualification : BE</p><p>Salaries : 800000 to 1500000</p><p>Key Qualifications:</p><p>Strong background in data analysis, statistical modeling, and machine learning principles.</p><p>Experience with data manipulation and analysis using tools like Python (Pandas, NumPy) and SQL.</p><p>Ability to translate complex data into actionable insights for product and engineering teams.</p><p>Specialized background in Computer Vision (CV), preferably with experience related to aerial/drone data or similar &quot;Bird&quot; backgrounds.</p><p>Strong preference for experience with VLM and VLI concepts.</p><p>Extensive experience in building platform tools such as UNITY, ISAAC, or similar simulation and robotics platforms.</p><p>Expertise in reverse engineering and building robust pipelines for multi-modal data processing and integration with LLMs (Large Language Models).</p><p>Regards</p><p>Shivaraj Police Patil</p><p>Managing Director</p><p>KBM Technosoft</p><p>8660235609</p><p>Job Types: Full-time, Permanent</p><p>Pay: &#8377;800,000.00 - &#8377;1,500,000.00 per year</p><p>Benefits:</p><ul><li>Provident Fund</li></ul><p>Ability to commute/relocate:</p><ul><li>Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Experience:</p><ul><li>10 yrs: 5 years (Preferred)</li></ul><p>Willingness to travel:</p><ul><li>25% (Preferred)</li></ul><p>Work Location: In person</p>

Mergenomics

<p>Our client is a leader in AI-driven revenue cycle management, transforming medical coding and revenue operations with cutting-edge technology.</p><p>The company has raised $11 million in total funding from top investors, including Accel and Together Fund.</p><p>Join us as we scale a cloud-native platform that runs transformer-based Large Language Models rigorously fine-tuned on millions of clinical notes and claims every month. You&rsquo;ll engineer autonomous coding pipelines that parse ICD-10-CM, CPT&reg; and HCPCS at lightning speed, deliver reimbursement insights with sub-second latency and &gt;99 % accuracy, and tackle the deep-domain challenges that make clinical AI one of the hardest&mdash;and most rewarding&mdash;problems in tech.</p><p><b>Data Scientist - Job Overview</b></p><p>We are looking for a Senior Data Scientist who can design, build, and optimize advanced AI/ML models for healthcare and revenue cycle automation. You will work closely with product and engineering teams to translate domain challenges into production-grade solutions. This is a hands-on role for someone passionate about applied machine learning, generative AI, and large-scale data systems, with opportunities to mentor junior team members.</p><p><b>Key Responsibilities:</b></p><p>&#9679; Build, fine-tune, and deploy ML/AI models (LLMs, GenAI, NLP, Computer Vision) for healthcare and revenue cycle applications.</p><p>&#9679; Conduct research on state-of-the-art algorithms and integrate them into production systems.</p><p>&#9679; Design data pipelines and workflows for model training, evaluation, and deployment.</p><p>&#9679; Collaborate with backend engineers to embed models into customer-facing applications.</p><p>&#9679; Analyze structured and unstructured healthcare data to extract meaningful insights.</p><p>&#9679; Perform error analysis, A/B testing, and continuous model improvements.</p><p>&#9679; Mentor junior data scientists/ML engineers and contribute to technical reviews.</p><p>&#9679; Stay up to date with latest advances in AI/ML, especially in NLP, LLMs, and applied healthcare AI.</p><p><b>Requirements</b></p><p>&#9679; 3&ndash;7 years of experience in Data Science, Machine Learning, or Applied AI roles.</p><p>&#9679; Strong hands-on expertise in Python, PyTorch, Numpy, Pandas, Scikit-learn, REST APIs.</p><p>&#9679; Deep understanding of NLP, Large Language Models, or GenAI frameworks.</p><p>&#9679; Experience with healthcare/clinical datasets is a strong plus.</p><p>&#9679; Familiarity with building and scaling data pipelines and model deployment.</p><p>&#9679; Experience with cloud platforms (AWS/GCP/Azure).</p><p>&#9679; Solid grounding in statistics, ML algorithms, and optimization techniques.</p><p>&#9679; Strong communication skills with the ability to explain technical solutions clearly.</p><p>Job Types: Full-time, Permanent</p><p>Pay: &#8377;3,500,000.00 - &#8377;4,500,000.00 per year</p><p>Benefits:</p><ul><li>Health insurance</li><li>Paid sick time</li><li>Paid time off</li><li>Provident Fund</li></ul><p>Experience:</p><ul><li>Data science: 5 years (Required)</li></ul><p>Work Location: In person</p>

Mastercard

<div>
 <strong>
  Our Purpose
  <br/>
  <br/>
 </strong>
 <em>
  Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
  <br/>
  <br/>
 </em>
 <strong>
  Title And Summary
  <br/>
  <br/>
 </strong>
 Senior Data Scientist
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 Product Data &amp; Analytics Team
 <br/>
 <br/>
 Senior Data Scientist &ndash; Product Data &amp; Analytics
 <br/>
 <br/>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 Product Data &amp; Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies.
 <br/>
 <br/>
 <ul>
  <li>
   Are you excited about Data Assets and the value they bring to an organization?
  </li>
  <li>
   Are you an evangelist for data driven decision making?
  </li>
  <li>
   Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents?
  </li>
  <li>
   Do you want to be the go-to resource for data analytics in the company?
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company.
 <br/>
 <br/>
 Role &amp; Responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Work closely with global &amp; regional teams to architect, develop, and maintain data engineering, advanced reporting and data visualization capabilities on large volumes of data to support analytics and reporting needs across products, markets and services.
  </li>
  <li>
   Obtain data from multiple sources, collate, analyze, and triangulate information to develop reliable fact bases. Effectively use tools to manipulate large-scale databases, synthesizing data insights.
  </li>
  <li>
   Execute cross-functional projects using advanced modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
  </li>
  <li>
   Build, develop and maintain data models, reporting systems, dashboards and performance metrics that support key business decisions.
  </li>
  <li>
   Extract intellectual capital from engagement work and actively share tools, methods and best practices across projects
  </li>
  <li>
   Provide 1st level insights/conclusions/assessments and present findings via Tableau/PowerBI dashboards, Excel and PowerPoint.
  </li>
  <li>
   Apply quality control, data validation, and cleansing processes to new and existing data sources.
  </li>
  <li>
   Lead, mentor and guide more junior team members.
  </li>
  <li>
   Communicate results and business impacts of insight initiatives to stakeholders in leadership, technology, sales, marketing and product teams.
  </li>
  <li>
   Bring your Passion and Expertise
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  All About You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis
  </li>
  <li>
   Financial Institution or a Payments experience a plus
  </li>
  <li>
   Experience presenting data findings in a readable and insight driven format. Experience building support decks.
  </li>
  <li>
   Advanced SQL skills, ability to write optimized queries for large data sets (Big data)
  </li>
  <li>
   Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack
  </li>
  <li>
   Experience with data visualization tools such as Looker, Tableau, PowerBI
  </li>
  <li>
   Experience with Python, R, Databricks a plus
  </li>
  <li>
   Experience on SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) will be an added advantage
  </li>
  <li>
   Excellent problem solving, quantitative and analytical skills
  </li>
  <li>
   In depth technical knowledge, drive and ability to learn new technologies
  </li>
  <li>
   Strong attention to detail and quality
  </li>
  <li>
   Team player, excellent communication skills
  </li>
  <li>
   Must be able to interact with management, internal stakeholders and collect requirements
  </li>
  <li>
   Must be able to perform in a team, use judgment and operate under ambiguity
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Education
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Additional Competencies
 <br/>
 <br/>
 <ul>
  <li>
   Excellent English, quantitative, technical, and communication (oral/written) skills
  </li>
  <li>
   Analytical/Problem Solving
  </li>
  <li>
   Strong attention to detail and quality
  </li>
  <li>
   Creativity/Innovation
  </li>
  <li>
   Self-motivated, operates with a sense of urgency
  </li>
  <li>
   Project Management/Risk Mitigation
  </li>
  <li>
   Able to prioritize and perform multiple tasks simultaneously
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Corporate Security Responsibility
  <br/>
  <br/>
 </strong>
 All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
 <br/>
 <br/>
 <ul>
  <li>
   Abide by Mastercard&rsquo;s security policies and practices;
  </li>
  <li>
   Ensure the confidentiality and integrity of the information being accessed;
  </li>
  <li>
   Report any suspected information security violation or breach, and
  </li>
  <li>
   Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.
  </li>
 </ul>
</div>


Cognite

<div><div><b>About Cognite</b></div><div>
Embark on a transformative journey with Cognite, a global SaaS forerunner in leveraging AI and data to unravel complex business challenges through our cutting-edge offerings including Cognite Atlas AI, an industrial agent workbench, and the Cognite Data Fusion (CDF) platform. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms &amp; Cognite was recognized as 2024 Microsoft Energy and Resources Partner of the Year. In the realm of industrial digital transformation, we stand at the forefront, reshaping the future of Oil &amp; Gas, Chemicals, Pharma and other Manufacturing and Energy sectors. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future.</div><div></div><div><b><br>
About the team:</b></div><div></div><div><br>
The <b>Data Science team</b> at Cognite plays a crucial role in building data-driven solutions that empower our clients to make impactful business decisions. As a <b>Data Scientist</b> at Cognite, you will work on challenging data-problems with leaders in the industry. You will be a part of cross-functional teams that include data engineers, solution architects, and project managers. Together, your focus will be on configuring, deploying, and operationalizing digital solutions in sectors such as <b>Oil and Gas, Power &amp; Utilities, and Manufacturing.</b></div><div>
Additionally, you will engage with clients to understand their desired outcomes, lead discovery workshops, and provide insights on potential strategies and obstacles.</div><div></div><div><br>
The <b>Data Science</b> team is a part of the EMEA delivery team in our Global Delivery organization. Global Delivery is truly global, with offices in Oslo (Norway), Austin &amp; Houston (Texas, USA) and Tokyo (Japan). We are a good mix of <b>Project Managers, Data Scientists, Data Engineers, Solution Architects</b> with domain expertise from Oil and Gas, Power &amp; Utilities and Manufacturing.</div><div>
We are responsible for delivering successful projects that are flexible and scalable, and foster adoption of our product. In sum, we derive valuable insights from previously hidden data, enabling workers and leaders to transform how heavy asset industries operate to become more efficient and sustainable. The EMEA Delivery counts around 80 Data Engineers, Data Scientists, Solution / Enterprise Architects, and Project Managers.</div>
<h3 class="jobSectionHeader"><b>What impact you will create</b></h3><ul><li>
Develop and deploy scalable solutions for customer use cases from Oil and Gas, Manufacturing and Power &amp; Utilities industries using Cognite&rsquo;s core capabilities</li><li>
Participate in intensive use case generation workshops with subject matter experts to understand the problem and how it maps to the data</li><li>
Perform data cleansing and exploratory data analysis</li><li>
Implement physical models / machine learning models in Python and deploy to our model hosting environment</li><li>
Apply GenAI techniques to enhance data-driven decision-making in customer use cases</li><li>
Build dashboards in Grafana, Power BI, Plotly or Dash for visualizing the solutions</li><li>
Utilize and contribute to solution templates and best practices within the Data Science team</li><li>
Mentoring and coaching junior team members is an important part of being a Senior at Cognite
</li><li>Collaborate with data engineers, project managers and solution architects on project deliveries to enable our customers to achieve the full potential of our industrial dataops platform</li><li>
Support customers and partners in conducting data science tasks with Cognite products</li></ul><h3 class="jobSectionHeader"><b>
What you will bring</b></h3><ul><li>
Master of Science in a quantitative field or mechanical - , systems - , electrical - or industrial engineering</li><li><b>
5+ years of full-time work experience as a data scientist (prefarbly within related industry)</b>, or data scientist with domain expertise in Oil and Gas or Maintenance or Manufacturing</li><li>
Proficient experience with Python and SQL. Experience with Python in a production setting is a plus</li><li>
Experience with machine learning methods and techniques, statistics and/or optimisation</li><li>
Experience with Git</li><li>
Experience working customer faced, with external customers
</li><li>Experience with managed cloud services such as GCP, Azure or AWS is a plus</li><li>
Domain knowledge or a good understanding of the Oil and Gas industry Asset Performance Management - covering i.e production optimization is a big plus. (As key CDF advisors, we want out Data Scientist to have a good understanding of our customer data, and assist them in understanding how CDF can help solve their problems related to i.e production optimization)</li><li>
Enjoy working in cross-functional teams</li><li>
Able to deliver independently, coach and mentor others internally
</li><li>Enjoy challenges and dare to set ambitious goals that drive innovation</li><li>
Humility to ask for help and enjoy sharing knowledge with others</li></ul><div></div><div><br>
Don&rsquo;t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive and authentic workplace, so if you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.</div><div>
Join us in making a real and lasting impact in one of the most exciting and fastest-growing new software companies in the world. We have repeatedly demonstrated that digital transformation, when anchored on strong DataOps, drives business value and sustainability for clients and allows front-line workers, as well as domain experts, to make better decisions every single day. We were recognized as one of CNBC's top global enterprise technology startups powering digital transformation! And just recently, Frost &amp; Sullivan named Cognite a Technology Innovation Leader!</div><div></div><div><b><br>
Join the Global Cognite Community</b></div><div>
Be part of a diverse, global team of 70+ nationalities, building technology that transforms how the world&rsquo;s industries operate.</div><div>
Work from our modern Bengaluru hub in a hybrid, high-trust environment with a flat structure and direct access to decision-makers.</div><div>
At Cognite, you&rsquo;ll learn fast, make an impact, and grow your career alongside exceptional talent.</div><div>
Why Cognite</div><div>
Recognized by CNBC and Frost &amp; Sullivan as a global innovation leader, Cognite is driving the next wave of industrial AI and digital transformation.</div><div>
Join us to shape the future of data and industry.</div><div>
Apply today &mdash; and follow us on LinkedIn (@Cognite) to discover more opportunities.</div><div></div><p><br>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

<div><p><b>Our Purpose</b></p><p></p><p><i>
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.</i></p><p></p><p><b>
Title and Summary</b></p><p></p>
Senior Data Scientist<p></p>
Job Description Summary -<br>
<br>
Who is Mastercard?
<br>
<br>
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.<br>
<br>
<br>
<br>
<br>
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
<br>
<br>
Overview<br>
<br>
<br>
<br>
<br>
Finicity, a Mastercard company, is leading the Open Banking Initiative to increase the Financial Health of consumers and businesses. The Data Science and Analytics team is looking for a Senior Data Scientist. The Data Science team works on Intelligent Decisioning; Financial Certainty; Attribute, Feature, and Entity Resolution; Verification Solutions and much more. Join our team to make an impact across all sectors of the economy by consistently innovating and problem-solving. The ideal candidate is passionate about leveraging data to provide high quality customer solutions. Also, the candidate is a strong technical leader who is extremely motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset.
<br>
<br>
Role
<br>
<br>
Plan and direct data science / machine learning projects within the team.
<br>
<br>
Design and implement machine learning models for a number of financial applications including but not limited to: Transaction Classification, Temporal Analysis, Risk modeling from structured and unstructured data.
<br>
<br>
Measure, validate, implement, monitor and improve performance of both internal and external facing machine learning models.
<br>
<br>
Propose creative solutions to existing challenges that are new to the company, the financial industry and to data science.
<br>
<br>
Present technical problems and findings to business leaders internally and to clients succinctly and clearly.
<br>
<br>
Leverage best practices in machine learning and data engineering to develop scalable solutions.
<br>
<br>
Identify areas where resources fall short of needs and provide thoughtful and sustainable solutions to benefit the team
<br>
<br>
Be a strong, confident, and excellent writer and speaker, able to communicate your analysis, vision and roadmap effectively to a wide variety of stakeholders
<br>
<br>
All about you:<br>
<br>
<br>
<br>
<br>
5-7 years in data science/ machine learning model development and deployments
<br>
<br>
Exposure to financial transactional structured and unstructured data, transaction classification, risk evaluation and credit risk modeling is a plus.
<br>
<br>
A strong understanding of NLP, Statistical Modeling, Visualization and advanced Data Science techniques/methods.
<br>
<br>
Gain insights from text, including non-language tokens and use the thought process of annotations in text analysis.
<br>
<br>
Solve problems that are new to the company, the financial industry and to data science
<br>
<br>
SQL / Database experience is preferred
<br>
<br>
Experience with Kubernetes, Containers, Docker, REST APIs, Event Streams or other delivery mechanisms.
<br>
<br>
Familiarity with relevant technologies (e.g. TensorFlow, Python, Sklearn, Pandas, etc.).
<br>
<br>
Strong desire to collaborate and ability to come up with creative solutions.
<br>
<br>
Additional Finance and FinTech experience preferred.
<br>
<br>
Bachelor&rsquo;s or Master&rsquo;s Degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics. M.S preferred<br>
<br>
<br>
<br>
<br>
Corporate Security Responsibility<br>
<br>
<br>
<br>
<br>
Every person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and therefore, it is expected that the successful candidate for this position must:<br>
<br>
<br>
<br>
<br>
Abide by Mastercard&rsquo;s security policies and practices;
<br>
<br>
Ensure the confidentiality and integrity of the information being accessed;
<br>
<br>
Report any suspected information security violation or breach, and
<br>
<br>
Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.<p></p><p><b>
Corporate Security Responsibility</b></p><p><br>
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:</p><ul><li><p>
Abide by Mastercard&rsquo;s security policies and practices;</p></li><li><p>
Ensure the confidentiality and integrity of the information being accessed;</p></li><li><p>
Report any suspected information security violation or breach, and</p></li><li><p>
Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.</p></li></ul></div><p></p>

Kraft Heinz

<p></p><div><div><div><div><div><div><div><div><div><ul><div><b>All Posting Locations:</b> Ahmedabad, Gujarat, IN
</div><div><b>Job Functions:</b> IT</div>
<div><b>Date Published:</b> November 20, 2025</div>
<div><b>Ref#:</b> R-98302</div></ul><div></div><div><br>
</div></div></div></div></div></div></div></div></div><p></p><div><div><div><div><div><div>ABOUT THE ROLE</div></div><div><div>
Job Description</div>
<p><b>Job Title: Senior Data Scientist &ndash; B13, PM</b></p>
<p><b>About Us:</b></p>
<p>We're a global leader in the food and beverage industry, dedicated to making life delicious for our consumers. We're building a new legacy by investing in a robust digital infrastructure and embracing advanced analytics to drive business decisions.</p>
<p><b>Job Summary:</b></p>
<p>We're seeking a Manager of Data Science to join our agile, cross-functional team as a key contributor. As a Manager you and your team will design, develop, and implement data-driven solutions to drive business outcomes at Kraft Heinz. You will work with your team and manager on advanced analytics and DS modelling projects from inception to production, collaborating with stakeholders to deliver high-impact results.</p>
<p><b>Responsibilities:</b></p>
<ul><li>Lead a team of 1-3 data scientists working across agile pods</li>
<li>Lead your team in complex data science projects, working closely with stakeholders to identify opportunities and develop solutions that drive business value.</li>
<li>Develop, test, and deploy predictive models using machine learning and statistical techniques</li>
<li>Collaborate with stakeholders to identify opportunities and design solutions</li>
<li>Explore and analyze large datasets to inform business decisions</li>
<li>Create repeatable, interpretable, and scalable models and statistical products</li>
<li>Engineer new features and test various modeling approaches to develop industry-leading analytics products</li>
<li>Contribute to the development of our data science capabilities and best practices</li>
<li>Communicate complex technical concepts to non-technical stakeholders, including data insights and recommendations</li>
<li>Stay up-to-date with industry trends and emerging technologies in data science, making recommendations for how to leverage these advancements to drive business growth</li>
<li>Coach and develop your team, driving technical best practices and contributing to their career growth within data science</li>
</ul><p><b>Requirements:</b></p>
<ul><li>Bachelor&rsquo;s degree in Data Science, Computer Science, Engineering, or Statistics</li>
<li>5+ years of applied experience in data science or related field</li>
<li>Expertise in implementing ML and AI algorithms in Python and/or R</li>
<li>Fluency in SQL</li>
<li>Strong understanding of machine learning, data wrangling, and exploratory analysis</li>
<li>Ability to work collaboratively with stakeholders to deliver high-impact results</li>
<li>Excellent communication and problem-solving skills</li>
</ul><p><b>Preferred Qualifications:</b></p>
<ul><li>Master&rsquo;s degree in Data Science, Computer Science, Engineering, or Statistics</li>
<li>Prior people management experience</li>
<li>Experience with Big Data technologies such as Snowflake and Spark</li>
<li>Experience with cloud-based technologies such as Azure</li>
<li>Familiarity with Agile development methodologies</li>
<li>Experience working in a cross-functional team environment</li>
<li>Expertise with the following modeling methods: Design of Experiments, ANOVA, multivariate regression, discrete and continuous optimization, survival analysis, discrete event simulation</li>
</ul><div>Location(s)</div>
<p>Ahmedabad &ndash; Venus Stratum GCC</p><p><br>
</p><p><b>Kraft Heinz is an Equal Opportunity Employer &ndash; Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes</b><b>.</b></p></div></div></div></div></div></div>

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