data scientist

senior data scientist

invitro ba scientist

senior associate

senior software engineer Jobs in Mangaluru

senior software engineer

senior scientist

AB InBev GCC India

<div>
 
 
 AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.
 
 
 
 
 
 
 
 Do You Dream Big?
 
 
 
 
 
 
 
 We Need You.
 
 
 
 
 
 
 
 Job Title: Senior Data Scientist &ndash; GBS Commercial
 
 
 
 
 
 
 
 Location: Bangalore
 
 
 
 
 
 
 
 Reporting to: Senior Manager &ndash; GBS Commercial
 
 
 
 
 
 
 
 
 
 PURPOSE OF ROLE
 
 
 
 
 
 
 We are seeking an experienced Senior Data Scientist and People Manager to lead the development of data-driven products and analytical solutions supporting our sales and business operations. This role is critical in designing, building, and scaling robust data science and machine learning solutions that directly impact business outcomes. The ideal candidate will combine deep technical expertise with proven people management skills and a track record of building, mentoring, and leading high-performing teams
 
 
 
 
 
 
 KEY TASKS AND ACCOUNTABILITIES
 
 
 
 
 Data Science &amp; Product Leadership:
 
 
 <ul>
 <li>
 Lead the end-to-end design, development, and deployment of data products, predictive models, and analytics solutions tailored to business needs.
 </li>
 <li>
 Drive the roadmap for data science initiatives, from ideation through to production and ongoing enhancement.
 </li>
 <li>
 Collaborate with engineering and product teams to integrate machine learning models and analytics into scalable products.
 </li>
 </ul>
 
 
 
 
 
 People Management &amp; Team Development:
 
 
 <ul>
 <li>
 Manage, mentor, and develop a team of data scientists, analysts, and engineers, fostering a high-performance, inclusive culture.
 </li>
 <li>
 Oversee performance management, career development, and upskilling initiatives within the team.
 </li>
 <li>
 Set clear objectives, provide constructive feedback, and guide team members towards excellence.
 </li>
 </ul>
 
 
 
 
 
 Collaboration &amp; Stakeholder Management:
 
 
 <ul>
 <li>
 Work closely with stakeholders across different teams to understand business requirements and translate them into scalable technical solutions.
 </li>
 <li>
 Engage with end users to gather feedback, iterate on features, and improve application usability.
 </li>
 <li>
 Provide training, support, and troubleshooting to ensure smooth adoption and usage of applications.
 </li>
 <li>
 Partner closely with cross-functional stakeholders (Sales, Marketing, IT, Operations) to understand business requirements and translate them into actionable analytics and product solutions.
 </li>
 <li>
 Present insights and recommendations to senior leadership, enabling data-driven decision making
 </li>
 </ul>
 
 
 Process Improvement &amp; Innovation:
 
 
 <ul>
 <li>
 Continuously monitor application performance, identify bottlenecks, and implement optimizations for better efficiency and scalability.
 </li>
 <li>
 Propose new features and enhancements to improve user experience and streamline business processes.
 </li>
 </ul>
 
 
 Documentation &amp; Reporting:
 
 
 <ul>
 <li>
 Maintain comprehensive technical documentation, including data/model pipelines, architecture diagrams, and user guides.
 </li>
 <li>
 Develop and share reports, dashboards, and presentations that communicate business impact and technical findings
 </li>
 </ul>
 
 
 Support &amp; Troubleshooting:
 
 
 <ul>
 <li>
 Provide ongoing technical support for deployed solutions, including debugging, performance tuning, and version control.
 </li>
 <li>
 Ensure system stability, security, and compliance with relevant data governance standards.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills &amp; Technologies:
 
 
 <ul>
 <li>
 
 Programming:
 
 Python (Pandas, scikit-learn, PySpark), SQL
 </li>
 <li>
 
 Machine Learning:
 
 End-to-end ML model development &amp; deployment
 </li>
 <li>
 
 Data Engineering:
 
 ETL pipelines, data modeling, Spark/Airflow (preferred)
 </li>
 <li>
 
 API/Product Development:
 
 Flask/FastAPI, integration with business applications
 </li>
 <li>
 
 Cloud &amp; DevOps:
 
 AWS/Azure/GCP, Docker, CI/CD (GitHub Actions, Jenkins)
 </li>
 <li>
 
 Databases:
 
 PostgreSQL, MySQL, NoSQL (desirable)
 </li>
 <li>
 
 Version Control:
 
 Git, collaborative workflows
 </li>
 <li>
 
 Visualization:
 
 Power BI, Tableau, or similar (preferred)
 </li>
 <li>
 
 Storytelling with Data:
 
 Ability to convey insights through impactful data visualizations and clear narratives
 </li>
 <li>
 
 Good to have:
 
 Experience with LLMs, GenAI, or agent frameworks
 </li>
 </ul>
 
 
 
 
 
 And above all of this, an undying love for beer!
 
 
 
 
 We dream big to create future with more cheers
 
 .
 
</div>

Senior Data Scientist

<div>
 
 
 AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.
 
 
 
 
 
 
 
 Do You Dream Big?
 
 
 
 
 
 
 
 We Need You.
 
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 
 
 Job Title: Senior Data Scientist
 
 
 
 
 
 
 
 Location: Bangalore
 
 
 
 
 
 
 
 Reporting to: Senior Manager Analytics
 
 
 
 
 
 
 
 
 1) Purpose of the role
 
 
 
 
 
 
 We are looking for an experienced and strategic
 
 Senior Data Scientist
 
 to join our high-impact analytics team in the FMCG sector. In this role, you will lead the development of
 
 Resource Allocation Model
 
 that directly influences how we allocate marketing budgets, drive consumer demand, and enhance retail performance.
 
 
 This is a hands-on technical role requiring deep expertise in data science, machine learning, and business acumen to solve complex problems in a fast-paced, consumer-centric environment.
 
 
 
 
 
 
 2) Key tasks &amp; accountabilities
 
 
 
 
 
 <ul>
 <li>
 Develop, validate, and scale
 
 Resource Allocation Model
 
 to quantify the impact of Sales &amp; Marketing packages on sales and brand performance.
 </li>
 <li>
 Implement
 
 optimization algorithms
 
 to inform budget allocation and maximize marketing ROI across geographies and product portfolios.
 </li>
 <li>
 Lead the development of predictive and prescriptive models to support commercial, trade, and brand teams.
 </li>
 <li>
 Leverage
 
 PySpark
 
 to manage and transform large-scale retail, media, and consumer datasets.
 </li>
 <li>
 Build and deploy ML models using
 
 Python
 
 and
 
 TensorFlow
 
 , ensuring robust model performance and business relevance.
 </li>
 <li>
 Collaborate with marketing, category, and commercial stakeholders to embed insights into strategic decisions.
 </li>
 <li>
 Use
 
 GitHub Actions
 
 for version control,
 
 CI/CD workflows
 
 ,
 
 DVC for data versioning
 
 , and reproducible ML pipelines.
 </li>
 <li>
 Present findings through compelling data storytelling and dashboards for senior leadership.
 </li>
 <li>
 Mentor junior data scientists and contribute to a culture of innovation and excellence.
 </li>
 </ul>
 
 
 
 
 
 3) Qualifications, Experience, Skills
 
 
 
 
 
 
 
 Level of educational attainment required
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD in a quantitative discipline (e.g., Data Science, Statistics, Computer Science, Economics).
 </li>
 </ul>
 
 
 
 
 
 Previous work experience
 
 
 <ul>
 <li>
 
 5+ years
 
 of hands-on experience in data science, preferably within the
 
 FMCG
 
 or retail domain.
 </li>
 </ul>
 
 
 
 
 
 Skills required
 
 
 <ul>
 <li>
 Proven track record of building and deploying
 
 Marketing Mix Models
 
 and/or media attribution models.
 </li>
 <li>
 Deep knowledge of
 
 optimization techniques
 
 (e.g., linear programming, genetic algorithms, constrained optimization).
 </li>
 <li>
 Advanced programming skills in
 
 Python
 
 (pandas, scikit-learn, statsmodels, TensorFlow).
 </li>
 <li>
 Expertise in
 
 PySpark
 
 for distributed data processing and transformation.
 </li>
 <li>
 Experience with
 
 Git
 
 and
 
 GitHub Actions
 
 for collaborative development and CI/CD pipelines.
 </li>
 <li>
 Strong grounding in statistics, experimental design (A/B testing), and causal inference.
 </li>
 <li>
 Master&rsquo;s or PhD in a quantitative discipline (e.g., Data Science, Statistics, Computer Science, Economics).
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills required
 
 
 <ul>
 <li>
 Experience working with syndicated retail data (e.g., Nielsen, IRI) and media data (e.g., Meta, Google Ads).
 </li>
 <li>
 Exposure to cloud platforms like
 
 AWS
 
 ,
 
 GCP
 
 , or
 
 Azure
 
 .
 </li>
 <li>
 Familiarity with
 
 FMCG metrics
 
 (e.g., brand health, share of shelf, volume uplift, promotional ROI).
 </li>
 <li>
 Ability to translate complex models into business actions in cross-functional environments.
 </li>
 </ul>
 
 
 
 
 
 And above all of this, an undying love for beer!
 
 
 
 
 We dream big to create future with more cheers
 
 
</div>

ITC Infotech

<div>
 
 
 Senior Data Scientist
 
 
 
 
 
 
 
 Location : Bangalore
 
 
 
 
 Mode: Hybrid
 
 
 
 
 
 
 
 Job Description
 
 
 <ul>
 <li>
 We are seeking highly skilled and innovative Data Scientists with strong expertise in Azure AI and ML to join our team.
 </li>
 <li>
 The ideal candidates will bring deep experience in building and deploying advanced machine learning and AI models, particularly working with unstructured data, NLP, and generative AI solutions.
 </li>
 <li>
 You will play a key role in designing, experimenting, and delivering AI-driven capabilities that unlock business value and innovation.
 </li>
 </ul>
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and deploy ML and AI models on the Azure ecosystem. &iquest; Work extensively with unstructured data sets (text, images, documents, etc.) to extract insights and build scalable solutions.
 </li>
 <li>
 Apply advanced Natural Language Processing (NLP) and Natural Language Generation (NLG) techniques to solve business problems.
 </li>
 <li>
 Leverage Copilot Studio, AI Foundry, Genie AI in Databricks, and other Azure-native services for generative AI use cases.
 </li>
 <li>
 Collaborate with cross-functional teams to identify AI opportunities and deliver impactful solutions.
 </li>
 <li>
 Continuously explore, test, and implement new algorithms, tools, and frameworks to improve model accuracy and performance.
 </li>
 <li>
 Communicate findings and recommendations effectively to both technical and non-technical stakeholders.
 </li>
 <li>
 Take ownership and accountability for end-to-end project delivery, from data exploration to production deployment. Required Skills &amp; Qualifications
 </li>
 <li>
 Proven hands-on experience in Azure Machine Learning, Azure AI services, and Databricks.
 </li>
 <li>
 Strong background in NLP, NLG, LLMs, and generative AI frameworks.
 </li>
 <li>
 Experience with unstructured data pipelines and feature engineering.
 </li>
 <li>
 Proficiency in Python, PySpark, and ML libraries (TensorFlow, PyTorch, Hugging Face, etc.).
 </li>
 <li>
 Practical experience with Copilot Studio, AI Foundry, Genie AI in Databricks is highly desirable.
 </li>
 <li>
 Strong problem-solving, analytical, and innovation skills.
 </li>
 <li>
 Excellent communication and storytelling ability to present AI solutions to stakeholders.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field. Preferred Qualifications
 </li>
 <li>
 Experience in building and deploying enterprise-grade AI solutions in cloud-native environments.
 </li>
 <li>
 Prior exposure to GenAI-based copilots, conversational AI, or knowledge assistants.
 </li>
 <li>
 Familiarity with MLOps frameworks for productionizing AI models.
 </li>
 </ul>
</div>

Mindera

<div>
 As a Senior Data Scientist - Marketing Mix Modeling (MMM) at Mindera, you will be responsible for leveraging data to enhance marketing strategies and drive business performance. You will work closely with cross-functional teams to analyze customer behavior, segment audiences, and measure the effectiveness of marketing campaigns. Your insights will help shape marketing initiatives and improve customer engagement.
 
 
 This is a unique opportunity for someone passionate about data science and marketing, enabling you to apply advanced analytical techniques to provide actionable insights that influence strategic decisions.
 
 
 
 Requirements
 
 
 
 As a Senior Data Scientist in our Marketing DSA team, you'll be working in a fast-paced and agile environment, working with large marketing budgets to drive growth at Mindera. Furthering our understanding of return on investment in a privacy-first world whilst understanding how we perform in a complex and competitive marketing landscape presents many opportunities to develop and hone new methodology whilst having a big impact on the business. You will be responsible for influencing marketing and business outcomes, have the autonomy to make things happen and must obsess about having business impact.
 
 
 
 More specifically you will:
 
 
 
 <ul>
 <li>
 Lead the development of advanced measurement frameworks for marketing performance, including Marketing Mix Modelling (MMM), incrementality testing, and geo-experimentation.
 </li>
 <li>
 Generate marketing insights that inform strategic and tactical decision-making across multiple channels.
 </li>
 <li>
 Partner with marketing, finance, and commercial teams to optimise allocation of significant budgets in a competitive marketplace.
 </li>
 <li>
 Innovate new approaches to measuring ROI and attribution in a privacy- conscious environment.
 </li>
 <li>
 Communicate complex results and recommendations to senior stakeholders in a clear, business-focused way.
 </li>
 <li>
 Mentor and support other data scientists and analysts in developing advanced experimentation and modelling skills
 
 
 </li>
 </ul>
 
 We'd love to hear from you if you have... 🔍
 
 
 
 As a Senior Data Scientist, you will be responsible for influencing marketing and
 
 
 business outcomes, have the autonomy to make things happen, and must obsess
 
 
 
 About Having Business Impact.
 
 
 
 
 More specifically you will:
 
 
 
 <ul>
 <li>
 Bring experience with Marketing Mix Modelling (MMM), incrementality testing, and geo-experimentation to measure and optimise marketing effectiveness.
 </li>
 <li>
 Generate marketing insights that shape strategy and execution across multiple channels.
 </li>
 <li>
 Partner with marketing, finance, and commercial teams to optimise allocation of significant budgets in a competitive marketplace.
 </li>
 <li>
 Innovate new approaches to measuring ROI and attribution in a privacy- conscious environment.
 </li>
 <li>
 Communicate complex results and recommendations to senior stakeholders in a clear, business-focused way.
 </li>
 <li>
 Mentor and support other data scientists and analysts in developing advanced experimentation and modelling skills.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 We offer
 
 
 <ul>
 <li>
 Flexible working hours (self-managed)
 </li>
 <li>
 Competitive salary
 </li>
 <li>
 Annual bonus, subject to company performance
 </li>
 <li>
 Access to Udemy online training and opportunities to learn and grow within the role
 
 
 </li>
 </ul>
 At Mindera we use technology to build products we are proud of, with people we love. Software Engineering Applications, including Web and Mobile, are at the core of what we do at Mindera. We partner with our clients, to understand their product and deliver high performance, resilient and scalable software systems that create an impact on their users and businesses across the world.
 
 
 You get to work with a bunch of great people, where the whole team owns the project together. Our culture reflects our lean and self-organisation attitude. We encourage our colleagues to take risks, make decisions, work in a collaborative way and talk to everyone to enhance communication. We are proud of our work and we love to learn all and everything while navigating through an Agile, Lean and collaborative environment.
 
 
 Check out our Blog: http://mindera.com/ and our Handbook: http://bit.ly/MinderaHandbook
 
 
 Our offices are located: Porto, Portugal | Aveiro, Portugal | Coimbra, Portugal | Leicester, UK | San Diego, USA | Chennai, India | Bengaluru, India
 
 
 Mindera is an equal opportunity employer and does not discriminate on the basis of age, disability, gender including gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, sexual orientation, or any other protected status. All matters related to employment are decided on the basis of qualifications, merit and business need.
</div>

Senior Data Scientist - Marketing Mix Modeling (MMM)

Microsoft

<div>
 Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft&rsquo;s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers&rsquo; heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.
 
 
 The Defender Experts (DEX) Research team is at the forefront of Microsoft&rsquo;s threat protection strategy, combining world-class hunting expertise with AI-driven analytics to protect customers from advanced cyberattacks. Our mission is to move protection left&mdash;disrupting threats early, before damage occurs&mdash;by transforming raw signals into intelligence that powers detection, disruption, and customer trust. We&rsquo;re looking for a passionate and curious Data Scientist to join this high-impact team. In this role, you'll partner with researchers, hunters, and detection engineers to explore attacker behavior, operationalize entity graphs, and develop statistical and ML-driven models that enhance DEX&rsquo;s detection efficacy. Your work will directly feed into real-time protections used by thousands of enterprises and shape the future of Microsoft Security. This is an opportunity to work on problems that matter&mdash;with cutting-edge data, a highly collaborative team, and the scale of Microsoft behind you.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Understand complex cybersecurity and business problems, translate them into well-defined data science problems, and build scalable solutions.
 </li>
 <li>
 Design and build robust, large-scale graph structures to model security entities, behaviors, and relationships.
 </li>
 <li>
 Develop and deploy scalable, production-grade AI/ML systems and intelligent agents for real-time threat detection, classification, and response.
 </li>
 <li>
 Collaborate closely with Security Research teams to integrate domain knowledge into data science workflows and enrich model development.
 </li>
 <li>
 Drive end-to-end ML lifecycle: from data ingestion and feature engineering to model development, evaluation, and deployment.
 </li>
 <li>
 Work with large-scale graph data: create, query, and process it efficiently to extract insights and power models.
 </li>
 <li>
 Lead initiatives involving Graph ML, Generative AI, and agent-based systems, driving innovation across threat detection, risk propagation, and incident response.
 </li>
 <li>
 Collaborate closely with engineering and product teams to integrate solutions into production platforms.
 </li>
 <li>
 Mentor junior team members and contribute to strategic decisions around model architecture, evaluation, and deployment.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field
 </li>
 <li>
 6+ years of experience applying data science or machine learning in a real-world setting, preferably in security, fraud, risk, or anomaly detection
 </li>
 <li>
 Proficiency in Python and/or R, with hands-on experience in data manipulation (e.g., Pandas, NumPy), modeling (e.g., scikit-learn, XGBoost), and visualization (e.g., matplotlib, seaborn)
 </li>
 <li>
 Strong foundation in statistics, probability, and applied machine learning techniques
 </li>
 <li>
 Experience working with large-scale datasets, telemetry, or graph-structured data Ability to clearly communicate technical insights and influence cross-disciplinary teams
 </li>
 <li>
 Demonstrated ability to work independently, take ownership of problems, and drive solutions end-to-end
 
 
 </li>
 </ul>
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Senior Applied & Data scientist

<div>
 
 AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.
 
 
 
 
 
 Do You Dream Big?
 
 
 We Need You.
 
 
 
 
 
 
 Job Description
 
 
 
 
 Job Title: Data Scientist &ndash; Predictive Forecasting
 
 
 
 
 Location: Bangalore
 
 
 
 
 Reporting to: Senior Manager Analytics
 
 
 
 
 
 
 
 
 1) Purpose of the role
 
 
 
 We are seeking a talented
 
 Data Scientist
 
 specializing in
 
 Statistical modelling, Predictive modelling, Time Series Forecasting
 
 to join our dynamic analytics team. The ideal candidate will have a strong background in statistical modeling and machine learning, with a focus on time series analysis. You will be responsible for developing predictive models for Business Cycles and Monthly Performance Monitoring, generating actionable insights from Forecasts, and driving business value through data-driven decision-making.
 
 
 
 
 
 
 2)
 
 
 Key tasks &amp; accountabilities
 
 
 
 
 
 <ul>
 <li>
 
 Develop and Implement Models:
 
 </li>
 <li>
 Design and implement and Maintain time series forecasting models to predict key business metrics.
 </li>
 <li>
 Utilize advanced statistical techniques and machine learning algorithms to improve model accuracy.
 </li>
 <li>
 
 Data Analysis and Insight Generation:
 
 </li>
 <li>
 Analyze large and complex datasets to identify trends, patterns, and anomalies.
 </li>
 <li>
 Generate actionable insights that inform business strategies and operational improvements.
 </li>
 <li>
 
 Collaborate with Cross-Functional Teams:
 
 </li>
 <li>
 Work closely with deployment and development data scientists, and other stakeholders to understand business needs.
 </li>
 <li>
 
 Communicate Findings:
 
 </li>
 <li>
 Present analysis results and insights to stakeholders in a clear and concise manner.
 </li>
 <li>
 Prepare reports, visualizations, and dashboards to communicate data findings.
 </li>
 <li>
 
 Continuous Improvement:
 
 </li>
 <li>
 Monitor model performance and implement enhancements as necessary.
 </li>
 <li>
 Stay updated with the latest developments in data science, machine learning, and time series forecasting.
 </li>
 </ul>
 
 
 
 
 
 3) Qualifications, Experience, Skills
 
 
 
 
 
 
 
 Level of educational attainment required.
 
 
 
 Bachelor&rsquo;s or master&rsquo;s degree in data science, Statistics, Mathematics, Computer Science, or a related field.
 
 
 
 
 
 
 Previous work experience
 
 
 <ul>
 <li>
 Minimum of 2 years of experience in data science or a related role.
 </li>
 <li>
 Proven experience with time series analysis and forecasting techniques is a plus
 </li>
 </ul>
 
 
 
 
 
 Technical Skills required
 
 
 
 
 
 <ul>
 <li>
 Python (Data Structures, Control Flow, OOPs, Modules and Packages, Exception Handling, VENV)
 </li>
 <li>
 MLOPs Fundamentals (Model Development, VCS, CI, CD, Serving, Monitoring &amp; Logging, Registry, Data and Model Lineage)
 </li>
 <li>
 Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow is a plus).
 </li>
 <li>
 Familiarity with data visualization tools (e.g., Power BI, matplotlib, plotly, streamlet).
 </li>
 <li>
 Data Analysis Tools - Pandas, Excel (Pivot Tables, Charts, Macros, Conditional Formatting, Shortcuts)
 </li>
 <li>
 Insights presentation - PowerPoint
 </li>
 <li>
 Version Control System (Git) - Basic Commands, Branching and Merging, Pull Requests &amp; Code Reviews
 </li>
 </ul>
 
 
 
 
 
 Other Skills required
 
 
 
 
 
 <ul>
 <li>
 Excellent problem-solving and analytical skills.
 </li>
 <li>
 Strong communication and presentation abilities.
 </li>
 <li>
 Ability to work collaboratively in a team environment.
 </li>
 </ul>
 
 
 
 
 
 And above all of this, an undying love for beer!
 
 
 
 
 
 
 
 We dream big to create future with more cheers.
 
 
 
 
</div>

Data Scientist

Moniepoint Group

<div>
 Moniepoint is Africa's all-in-one financial ecosystem, empowering businesses and their customers with seamless payment, banking, credit, and management tools. In 2023, we processed $182 billion and are Nigeria&rsquo;s largest merchant acquirer.
 
 
 
 Your Opportunity and Mission
 
 
 
 We are looking for talented and passionate Data Scientist to join the Growth team. Data science and optimization are key drivers for Moniepoint&rsquo;s business growth and the Data Scientist joining will have the opportunity to build and own the most important models starting from our attribution and Marketing Mix Models
 
 
 <ul>
 <li>
 Contribute the following areas: channel attribution modeling, mCAC per channel modeling, LTV prediction, Marketing Mix Modeling and multichannel attribution and testing
 </li>
 <li>
 Develop, test and own our production marketing attribution models for better budgeting and increased marketing efficiency
 </li>
 <li>
 Develop, test and productionize attribution and predictive algorithms by using state of the art machine learning algorithms and optimisation models
 </li>
 <li>
 Design experiments and interpret the results to draw detailed and actionable conclusions
 </li>
 <li>
 Work in cross-functional teams across disciplines such as product, engineering and business.
 
 
 </li>
 </ul>
 
 You Have...
 
 
 
 <ul>
 <li>
 +5 years of professional experience outside of an academic and internship setting, in a quantitative analysis role in top companies. FMCG or Fintech preferred.
 </li>
 <li>
 Holds at least an MSc, and preferably a PhD in a scientific discipline such as Physics, Statistics, Engineering, Computer Science or Mathematics
 </li>
 <li>
 Deep theoretical and applied knowledge in the following areas: statistical inference, bayesian statistics, causal inference, time series analysis and mathematical optimisation.
 </li>
 <li>
 Extensive experience at least in Multichannel Attribution Modeling and Marketing Mix Modeling
 </li>
 <li>
 Extensive experience in statistical programming (Python) and experience working with popular tools such as Pandas, SciPy, XGBoost, Jupyter/iPython notebooks and well-known modeling packages such as PyMC3
 </li>
 <li>
 Extensive experience with the end-to-end predictive/prescriptive model development cycle, from problem definition to productionalization and maintenance. This includes excellent data modeling and SQL skills, and familiarity with Cloud infrastructure.
 </li>
 <li>
 Demonstrated experience in designing and analyzing experiments in digital products (A/B test, multivariate, etc.)
 </li>
 <li>
 Experience with the application of statistical modeling and advanced analytics to provide product-shaping insights
 </li>
 <li>
 Excellent spoken and written English
 
 
 </li>
 </ul>
 
 What Moniepoint Can Offer You
 
 
 
 <ul>
 <li>
 The opportunity to drive financial inclusion and shape the future of the African financial ecosystem
 </li>
 <li>
 The chance to work on innovative and impactful projects
 </li>
 <li>
 A dynamic, diverse, and collaborative environment where every team member&rsquo;s voice is recognized and valued
 </li>
 <li>
 Flexible work arrangements
 </li>
 <li>
 Continuous learning and career growth opportunities
 </li>
 <li>
 Competitive salary, individual performance bonuses, and firmwide performance bonus
 </li>
 <li>
 Company covered health insurance plans
 </li>
 <li>
 Pension plans
 
 
 </li>
 </ul>
 
 What To Expect In The Hiring Process
 
 
 
 <ul>
 <li>
 A preliminary phone call with one of our recruiters
 </li>
 <li>
 A general interview with the Senior Manager of Marketing Strategy
 </li>
 <li>
 A case study-based discussion with SVP of Marketing
 </li>
 <li>
 A behavioural interview with members of the Executive team
 
 
 </li>
 </ul>
 Moniepoint is an equal-opportunity employer. We believe diversity makes us stronger and are committed to creating an inclusive environment for all employees and candidates.
</div>

Growth Data Scientist

Explore 154+ Senior scientist in Mangaluru this September. Find roles across top companies and apply now to boost your career.

154 senior scientist jobs IN Mangaluru

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Marketing Mix Modeling (MMM)

Senior Applied & Data scientist

Data Scientist

Growth Data Scientist