Explore exciting data science opportunities in 741 Data Science jobs in Bengaluru
Data Science
Posted today
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Company Overview
GOVIAFLY CARGO AND LOGISTICS PRIVATE LIMITED is a prominent player in the transportation, logistics, supply chain, and storage industry. Headquartered in Bangalore, we are dedicated to delivering exceptional logistical solutions. With a dynamic team size of 11-50 employees, we specialize in offering comprehensive cargo and logistics services, ensuring efficiency and reliability in each facet of our business. Visit our website at viaflylogistics.com to learn more about our services.
Job Overview
We are seeking a highly motivated Data Science fresher to join GOVIAFLY CARGO AND LOGISTICS PRIVATE LIMITED based in Bangalore Urban. This is a full-time position ideal for candidates with 0 to 1 year of work experience. The successful candidate will play a crucial role in analyzing and interpreting complex data sets to help drive strategic decision-making within the company. Must possess a strong ability in data visualization as an essential skill.
Qualifications and Skills
- Proficiency in data cleaning techniques to ensure data quality and accuracy for reliable insights.
- Strong knowledge of statistical analysis methods to interpret data effectively and draw meaningful conclusions.
- Basic understanding of machine learning principles and algorithms to aid in data-driven decision making.
- Experience with payroll processing, reflecting an understanding of financial data management.
- Data visualization skills to communicate data insights effectively. (Mandatory skill)
- Ability to work independently and collaboratively within a team to achieve common objectives.
- Strong problem-solving skills to address complex data challenges and provide actionable recommendations.
- Excellent communication skills, both written and verbal, to present data findings clearly.
Roles and Responsibilities
- Analyze large datasets to discover trends and patterns that support business objectives.
- Collaborate with team members to understand data requirements and design analytical solutions.
- Develop and implement data models to optimize business processes and improve operational efficiency.
- Create intuitive data visualizations and dashboards to present insights to stakeholders.
- Conduct statistical analysis to evaluate the impact of business strategies and initiatives.
- Support the companys data-driven culture by promoting and educating team members on data importance.
- Assist in the automation of data processing tasks to enhance efficiency and reduce manual intervention.
- Stay updated on industry trends and advancements in data science to apply best practices.
Director, Data Science
Posted today
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Job Description
**Job Description for Analytics Leader in Integrated Business Solutions - IBS:**
**Position Overview**
The Director of Analytics and Reporting will spearhead our data analytics strategy for our **IBS (Integrated Business solutions)** offerings, transforming operational data into strategic insights that demonstrate business value to clients and drive continuous service improvement. This role will be pivotal in measuring process efficiencies, service level performance, and business outcomes across our **IBS (Integrated Business solutions)** portfolio, ensuring our solutions deliver measurable ROI to clients.
**Key Responsibilities**
+ **IBS Performance Analytics** : Design and implement comprehensive analytics frameworks to measure, track, and optimize the performance of our IBS solutions across multiple client engagements
+ **Client Value Measurement** : Develop methodologies to quantify the business impact and ROI of our IBS solutions for clients, including cost savings, efficiency gains, and business outcome improvements
+ **Operational Excellence** : Lead data-driven initiatives to identify process optimization opportunities, resource utilization improvements, and automation potential across service delivery operations
+ **Service Level Reporting** : Create sophisticated dashboards and reporting systems to track SLA compliance, KPIs, and performance metrics for client-facing and internal stakeholders
+ **Predictive Analytics** : Implement predictive models to forecast service volumes, resource needs, potential process bottlenecks, and emerging client requirements
+ **Benchmarking & Industry Insights** : Establish benchmarking frameworks to compare performance across clients, industries, and against market standards to drive continuous improvement
+ **Client Analytics Services** : Collaborate with Product and Sales teams to develop value-added analytics offerings that enhance the core IBS solutions and create additional revenue streams
+ **Team Leadership** : Build and lead a cross-functional team of data analysts, data scientists, and reporting specialists focused on IBS performance analytics
+ **Technology Integration** : Partner with IT and Product Development teams to ensure analytics requirements are embedded in our IBS platforms and data architecture
+ **Change Management** : Drive data-informed process improvements and change initiatives across service delivery teams based on analytical insights
**Qualifications:**
+ **Experience** : 15 to 20 years of progressive experience in analytics, business intelligence, or data science, with at least 5 years in leadership roles
+ **Education** : Bachelor's degree required; Master's degree in Business Analytics, Operations Management, Data Science, Statistics, or related field preferred
+ **Technical Skills** : Strong proficiency in data analysis tools and languages (SQL, Python, R)
+ Experience with BI visualization platforms (Tableau, Power BI)
+ Knowledge of process mining and automation analytics tools (Celonis, Automation Anywhere, UiPath Insights, etc.)
+ Understanding of ERP systems data structures and business process flows
+ **Domain Knowledge** : Experience with IBS, BPO, or managed services business models
+ Understanding of service delivery metrics, SLAs, and operational KPIs
+ Familiarity with process improvement methodologies (Lean, Six Sigma)
+ **Leadership** : Proven ability to build and lead high-performing analytics teams in a service delivery environment
+ **Client Orientation** : Experience translating complex operational data into client-facing insights and value demonstrations
+ **Strategic Acumen** : Ability to connect analytics initiatives with business strategy and service delivery excellence
**Ideal Candidate Attributes:**
+ Process excellence mindset with ability to identify efficiency opportunities through data
+ Business-focused approach to analytics that emphasizes outcome measurement and value creation
+ Client-centric perspective on how analytics can enhance service delivery and demonstrate value
+ Collaborative leadership style that can influence across delivery teams, technology groups, and client stakeholders
+ Innovative thinker who can envision new ways to leverage data for IBS differentiation and growth
Conduent is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity, gender expression, sex/gender, marital status, sexual orientation, physical or mental disability, medical condition, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law.
For US applicants: People with disabilities who need a reasonable accommodation to apply for or compete for employment with Conduent may request such accommodation(s) by submitting their request through this form that must be downloaded: click here to access or download the form ( . Complete the form and then email it as an attachment to . You may also click here to access Conduent's ADAAA Accommodation Policy ( .
Director, Data Science
Posted today
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Job Description
**Job Description: Director, Data Science (CX & BPaaS)**
**Position Overview**
The Director, Data Science will be a pivotal leader, responsible for spearheading the data analytics strategy across both Customer Experience (CX) and Business Process as a Service (BPaaS) offerings. This role involves transforming complex customer and operational data into actionable business intelligence and strategic insights. The Director will drive data-informed decision-making across the organization, optimize customer journeys, measure the impact of CX initiatives on business outcomes, and demonstrate the measurable business value and ROI of BPaaS solutions to clients. This leader will be instrumental in fostering continuous service improvement and enhancing overall client satisfaction and business performance.
**Key Responsibilities**
+ **Strategic Leadership & Analytics Strategy:** Develop and execute a comprehensive data analytics strategy for both CX and BPaaS domains, ensuring alignment with broader business objectives and promoting data-driven decision-making at all levels.
+ **Advanced Analytics & Modeling:** Lead the design and implementation of sophisticated analytics models to extract meaningful insights from diverse data sources, including customer feedback, interaction data, operational metrics, and service delivery performance. This includes developing predictive models to forecast customer behavior, identify at-risk customers, forecast service volumes, resource needs, and potential process bottlenecks.
+ **Performance Measurement & Optimization:** Design and implement robust analytics frameworks to measure, track, and optimize the performance of CX initiatives and BPaaS solutions across multiple client engagements. This involves creating methodologies to quantify business impact, ROI, cost savings, and efficiency gains.
+ **Operational & Process Excellence:** Lead data-driven initiatives to identify process optimization opportunities, resource utilization improvements, and automation potential across all service delivery operations for both CX and BPaaS.
+ **Reporting & Dashboard Architecture:** Design and develop comprehensive, sophisticated dashboards and reporting systems that effectively communicate CX performance, BPaaS performance, trends, ROI, SLA compliance, and key performance indicators (KPIs) to executive leadership, internal stakeholders, and clients.
+ **Benchmarking & Industry Insights:** Establish robust benchmarking frameworks to compare performance across clients, industries, and against market standards, leveraging industry insights to drive continuous improvement.
+ **Client Engagement & Analytics Services:** Collaborate with Product and Sales teams to develop and offer value-added analytics services and insights that enhance core BPaaS solutions and create additional revenue streams, while also translating complex operational data into compelling, client-facing value demonstrations.
+ **Cross-Functional Collaboration:** Partner effectively with Technology, Operations, Workforce Management, Account Management, and Product Development teams to identify analytics needs, embed analytics requirements into platforms and data architecture, and deliver insights that drive business growth and customer satisfaction.
+ **Team Leadership & Development:** Build, mentor, and grow a high-performing, cross-functional team of data analysts, data scientists, and reporting specialists focused on CX and BPaaS performance analytics, fostering a culture of analytical excellence and continuous learning.
+ **Data Governance & Quality:** Establish and enforce standards for data quality, accessibility, and compliance across all analytics functions, ensuring consistent and reliable reporting.
+ **Technology Innovation:** Evaluate, recommend, and implement advanced analytics tools and platforms to enhance analytical capabilities, reporting efficiency, and automation potential.
+ **Change Management:** Drive data-informed process improvements and change initiatives across service delivery teams based on analytical insights, ensuring effective adoption and sustained improvements.
**Qualifications**
+ **Experience:** 15 to 20 years of progressive experience in analytics, business intelligence, or data science, with at least 5 years in leadership roles, preferably within service delivery or customer-centric environments.
+ **Education:** Bachelor's degree required; Master's degree in Business Analytics, Data Science, Statistics, Operations Management, or a related quantitative field preferred.
+ **Technical Skills:**
+ Strong proficiency in data analysis tools and languages (SQL, Python, R).
+ Extensive experience with BI visualization platforms (Power BI, Tableau).
+ Knowledge of process mining and automation analytics tools (e.g., Celonis, Automation Anywhere, UiPath Insights).
+ Understanding of ERP systems data structures and business process flows.
+ Proficiency in statistical analysis, predictive modeling, and machine learning concepts.
+ **Domain Knowledge:**
+ Direct experience with BPaaS, BPO, or managed services business models.
+ Deep understanding of CX metrics and methodologies (NPS, CSAT, CES, Journey Mapping).
+ Strong understanding of service delivery metrics, SLAs, and operational KPIs.
+ Familiarity with process improvement methodologies (Lean, Six Sigma).
+ **Leadership:** Proven ability to build, lead, mentor, and grow high-performing analytics teams.
+ **Communication:** Exceptional ability to translate complex data insights into clear, actionable recommendations for diverse audiences, including executive leadership and clients.
+ **Strategic Thinking & Client Orientation:** Forward-looking mindset with the ability to connect analytics initiatives to broader business strategy and service delivery excellence, and demonstrated experience translating complex data into client-facing value.
**Ideal Candidate Attributes**
+ A passionate advocate for both customer-centricity and data-driven decision-making.
+ A visionary leader who can inspire teams, influence cross-functional stakeholders, and build strong bridges between technical and business teams.
+ A problem-solver who thrives in complex, ambiguous environments, with a strong process excellence mindset that identifies efficiency opportunities through data.
+ A business-focused approach to analytics emphasizing outcome measurement and value creation.
+ A client-centric perspective on how analytics can enhance service delivery and demonstrate value.
+ An innovative thinker who can envision new ways to leverage data for both CX differentiation and BPaaS growth.
+ A collaborative leader who fosters a culture of analytical excellence and continuous learning.
Conduent is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity, gender expression, sex/gender, marital status, sexual orientation, physical or mental disability, medical condition, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law.
For US applicants: People with disabilities who need a reasonable accommodation to apply for or compete for employment with Conduent may request such accommodation(s) by submitting their request through this form that must be downloaded: click here to access or download the form ( . Complete the form and then email it as an attachment to . You may also click here to access Conduent's ADAAA Accommodation Policy ( .
Analyst - Data Science
Posted 10 days ago
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Job Description
+ **Job Title:** Analyst Data Science **About** **us** : With over 200 brands sold in nearly 180 countries, we're the world's leading premium drinks company. Bring your passion and use your curiosity as you explore, collaborate, and innovate to build brands consumers love. Together with passionate people from all over the world, you'll test new ideas, learn and grow, and unlock a brighter, more exciting future.Join us to create a career worth celebrating. **About the Function:** Our Digital and Technology (D&T) team are innovators, delivering ground-breaking solutions that will help shape the future of our iconic brands. Technology touches every part of our business, from the sourcing of sustainable ingredients to marketing and development of our online platforms. We utilise data insights to build competitive advantage, supporting our people to deliver value faster.Our D&T team includes some of the most talented digital professionals in the industry. Every day, we come together to push boundaries and innovate, shaping the digital solutions of tomorrow. Whatever your passion, we'll help you become the best you can be, creating career-defining work and delivering breakthrough thinking. **About the role** **: Experience / skills required:**
+ 2 to 3 years of hands-on experience & knowledge in Data Science or Machine Learning Algorithms
+ Hands on experience in solving various advanced analytics use cases such as segmentation, forecasting, optimization, key driver/causal analysis, recommendation systems, predictive modelling, etc.
+ Both theoretical & hands on knowledge of application of different advanced analytics methodologies like: Clustering, Time Series Forecasting, Multivariate Regression and forecasting, Logistic Regression, Linear & Non-Linear Optimization, ML Models like Random Forest, GBM, SVM, etc.
+ Strong language coding skills required in Python/pyspark.
+ Knowledge & experience in SQL database & MLOps.
+ Good to have knowledge in the areas of Product Assortment, Marketing Mix Modelling, Demand Forecasting etc.
+ Good to have skills in Natural Language Processing, Big Data Analytics, etc.
+ Good to have working knowledge in Azure/Azure Databricks, Alteryx, Dataiku, S3, Power shell scripting, Windows Batch scripting.
+ Prior advanced analytics experience in CPG or Alcohol Beverage industry is a plus.
+ Have a hands-on approach with a proven ability to work independently with minimal supervision to deliver results
+ **Diversity statement:** Our purpose is to celebrate life, every day, everywhere. And creating an inclusive culture, where everyone feels valued and that they can belong, is a crucial part of this.We embrace diversity in the broadest possible sense. This means that you'll be welcomed and celebrated for who you are just by being you. You'll be part of and help build and champion an inclusive culture that celebrates people of different gender, ethnicity, ability, age, sexual orientation, social class, educational backgrounds, experiences, mindsets, and more.Our ambition is to create the best performing, most trusted and respected consumer products companies in the world. Join us and help transform our business as we take our brands to the next level and build new ones as part of shaping the next generation of celebrations for consumers around the world.Feel inspired? Then this may be the opportunity for you. _If you require a reasonable adjustment, please ensure that you capture this information when you submit your application._
**Worker Type :**
Regular
**Primary Location:**
Bangalore Karle Town SEZ
**Additional Locations :**
**Job Posting Start Date :**
2025-01-03
With over 200 brands sold in more than 180 countries, we're the world's leading premium drinks company. Every day, over 30,000 talented people come together at Diageo to create the magic behind our much-loved brands. From iconic names to innovative newcomers - the brands we're building are rooted in culture and local communities. Our ambition is to be one of the best performing, most trusted and most respected consumer products companies in the world.
Our founders, such as Arthur Guinness, John Walker, and Charles Tanqueray, were visionary entrepreneurs whose brilliant minds helped shape the alcohol industry. And through our people, their legacy lives on. Join us, and you'll collaborate with talented people from all corners of the world. Together, you'll innovate and push boundaries, shaping a more inclusive and sustainable future that we can all be proud of.
With diversity at our core, we celebrate our people's unique passions, commitments and specialist skills. Because when varied voices, mindsets, and personalities come together, great ideas are born. In our supportive culture, your voice will be heard and you'll be empowered to be you. Just bring your ambition, curiosity and ideas, and we'll celebrate your work and help you reach your fullest potential.
**DRINKiQ**
What's your DRINKiQ? Take our quiz to understand how alcohol is made and explore the effects of drinking. You can discover everything you need to know at DRINKiQ (
Director Data Science
Posted 5 days ago
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Job Description
Sigmoid enables business transformation using data and analytics, leveraging real-time insights to
make accurate and fast business decisions, by building modern data architectures using cloud and
open source. Some of the world’s largest data producers engage with Sigmoid to solve complex
business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial
intelligence, and DataOps. Sigmoid has been recognized as one of the fastest growing technology
companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500.
Offices: New York | Dallas | San Francisco | Lima | Bengaluru
This role is for our Bengaluru office.
Why Join Sigmoid?
• Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly
combining technical expertise and creativity to tackle intrinsically complex business
problems and convert them into straight-forward data solutions.
• Despite being continuously challenged, you are not alone. You will be part of a fast-paced
diverse environment as a member of a high-performing team that works together to
energize and inspire each other by challenging the status quo
• Vibrant inclusive culture of mutual respect and fun through both work and play
Roles and Responsibilities:
• Convert broad vision and concepts into a structured data science roadmap, and guide a
team to successfully execute on it.
• Handling end-to-end client AI & analytics programs in a fluid environment. Your role will be a
combination of hands-on contribution, technical team management, and client interaction.
• Proven ability to discover solutions hidden in large datasets and to drive business results
with their data-based insights
• Contribute to internal product development initiatives related to data science.
• Drive excellent project management required to deliver complex projects, including
effort/time estimation.
• Be proactive, with full ownership of the engagement. Build scalable client engagement level
processes for faster turnaround & higher accuracy
• Define Technology/ Strategy and Roadmap for client accounts, and guides implementation
of that strategy within projects
• Manage the team-members, to ensure that the project plan is being adhered to over the
course of the project
• Build a trusted advisor relationship with the IT management at clients and internal accounts
leadership.
Mandated Skills:
• A B-Tech/M-Tech/MBA from a top tier Institute preferably in a quantitative subject
• 14+ years of hands-on experience in applied Machine Learning, AI and analytics
• Experience of scientific programming in scripting languages like Python, R, SQL, NoSQL,
Spark with ML tools & Cloud Technology (AWS, Azure, GCP)
• Experience in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scrapy, BERT
etc.
• Strong grasp of depth and breadth of machine learning, deep learning, data mining, and
statistical concepts and experience in developing models and solutions in these areas
• Expertise with client engagement, understanding complex problem statements, and offering
solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc.
Desired Skills:
● Deep understanding of ML algorithms for common use cases in both structured and
unstructured data ecosystems.
● Comfortable with large scale data processing and distributed computing
● Providing required inputs to sales, and pre-sales activities
● A self-starter who can work well with minimal guidance
● Excellent written and verbal communication skills
Data Science Specialist
Posted 6 days ago
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Job Description
About the Company
Infosys Finacle , a product of EdgeVerve Systems (a subsidiary of Infosys), is a globally recognized leader in digital banking solutions. It empowers financial institutions across over 100 countries to drive comprehensive digital transformation, regardless of their current stage in modernization.
Data Scientist AI / RPA
About the Role
Hands on experience in applying statistical methods, ML algorithms to large data sets for deriving insights/predictions using python/R packages.
Responsibilities
- Looking for an expert on using data science related packages like sk learn and data manipulation packages like pandas, dask.
- Experience in modeling techniques like classifications, regression time series analysis, deep learning, text mining and NLP.
- Experience in analyzing the problem statements and coming up with different solutions by creating POC.
- Must have experience in collecting relevant data as per the problem statement and cleansing the data.
- Basic knowledge of writing sql queries.
- Must have knowledge on big data concepts like Hadoop and hive.
- One should have experience ML programming and analytical skills.
Qualifications
B.Tech, M.Tech, MCA, BE
Education details
Required Skills
Hands on experience in applying statistical methods, ML algorithms to large data sets for deriving insights/predictions using python/R packages.
Preferred Skills
Experience in modeling techniques like classifications, regression time series analysis, deep learning, text mining and NLP.
Pay range and compensation package
Pay range or salary or compensation
Equal Opportunity Statement
Include a statement on commitment to diversity and inclusivity.
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Data Science Engineer
Posted 6 days ago
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Job Description
Winpra is revolutionizing the real estate industry through advanced AI-powered analytics. We're building cutting-edge solutions that combine sophisticated data science and machine learning with real estate expertise to deliver unprecedented insights and automation capabilities through our innovative platform.
Position Overview
We're seeking a Data Science Engineer to join our innovative team and help shape the future of real estate analytics. In this role, you'll develop and implement advanced statistical models, machine learning algorithms, and data pipelines that power our platform's predictive analytics and market insights.
Key Responsibilities
- Design and implement machine learning models for real estate market analysis and prediction
- Develop and maintain scalable data processing pipelines
- Create sophisticated statistical models for property valuation and market trends
- Design and implement reinforcement learning solutions for dynamic pricing and decision optimization
- Build and optimize data collection and validation processes
- Implement feature engineering techniques to improve model performance
- Develop automated reporting systems and interactive dashboards
- Collaborate with full-stack and AI engineers to integrate models into production
- Conduct A/B tests and experiments to validate model improvements
- Document methodologies, algorithms, and technical specifications
- Monitor and optimize model performance in production
Required Qualifications
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field
- Minimum of 3 years of experience in data science / data analytics related domain.
- Strong programming skills in Python and experience with data science libraries (NumPy, Pandas, Scikit-learn, Pytorch/Tensorflow)
- Proven experience in developing and deploying machine learning models
- Demonstrated experience in reinforcement learning and its practical applications
- Expertise in statistical analysis and mathematical modeling
- Experience with SQL and database management
- Proficiency in data visualization tools (Matplotlib, Seaborn, D3 or similar)
- Strong understanding of machine learning algorithms and their applications
- Experience with version control systems (Git)
- Excellent problem-solving and analytical skills
- Strong communication skills to present technical findings to non-technical stakeholders
Preferred Qualifications
- Experience in real estate analytics or related domain
- Knowledge of deep learning frameworks (TensorFlow, PyTorch)
- Familiarity with cloud computing platforms (AWS/GCP/Azure)
- Knowledge of MLOps practices and tools
- Experience with time series analysis and forecasting
- Background in geospatial data analysis
- Contributions to open-source data science projects
What We Offer
- Opportunity to work on cutting-edge AI technology in the real estate sector
- Collaborative environment with a team of experienced engineers
- Professional development and growth opportunities
- Competitive salary and benefits package
- Remote-friendly work environment
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Data Science Specialist
Posted 6 days ago
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Job Description
Data Science Expert
15+ Years Experience
Location: Bengaluru
Machine Learning
Data Science, Machine Learning ( xgboost, random forest, Deep learning, neural networks), Advanced Analytics
Required
MLOps
Good understanding of how models are deployed, scaled, consumed and monitored. Experience in Tools like :- MLFlow, Airflow, git Actions, Terraform, Cloudformation.
Required
Cloud
Experience in AWS (Handson experience /Understanding of Lambda functions, ECS, ECR, Datazone, Sagemaker AI, Dynamo DB, Sagemaker unified studio (optional), AWS Glue
Required
Data Modelling
Basic understanding of Data Analysis and Modelling
Required
ML/DL Tools
Spark / Tensorflow/ Pytorch/ Scikit-learn/
Required
Data Analysis
Basic understanding of:- statistical data analysis, machine learning techniques, Bayesian methods, neural networks, ensemble methods
Required
Scripting
Hands-on with Python
Required
Soft Skill -Communication
Communication & Presentation Skill
Required
Soft Skill - Analytical mindset
Ability to Analyze, comprehend and respond to situation
Required
Soft Skill - Team Work
Interpersonal skill, adaptability, flexibility
Data Science Manager
Posted 6 days ago
Job Viewed
Job Description
About RapidClaims:
RapidClaims is a leader in AI-driven revenue cycle management , transforming medical
coding and revenue operations with cutting-edge technology.
The company has raised $11 million in total funding from top investors, including Accel
and Together Fund .
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’ll
engineer autonomous coding pipelines that parse ICD-10-CM, CPT® and HCPCS at
lightning speed, deliver reimbursement insights with sub-second latency and
>99 %
accuracy, and tackle the deep-domain challenges that make clinical AI one of the
hardest—and most rewarding—problems in tech.
Data Science Manager - Job Overview:
We are looking for a Data Science Manager who can lead the design and delivery of
scalable, data-driven backend systems while effectively managing cross-functional teams
and engaging with clients. This role combines technical leadership, project delivery, and
people management—ideal for someone who thrives at the intersection of code,
communication, and execution.
Key Responsibilities:
Technical Leadership & Data Architecture:
Work closely with Data Science teams to embed AI models and analytical capabilities
into core applications.
Lead end-to-end sprint cycles, including sprint planning, task allocation, daily
standups, and retrospectives.
Track team performance and delivery timelines, using tools like JIRA, Trello, or
Asana to monitor progress.
Serve as the primary technical point of contact for clients—gathering requirements,
clarifying expectations, and presenting deliverables.
Translate client needs into actionable engineering goals while ensuring customer
satisfaction.
Manage a team of data scientists and analysts—offering coaching, feedback, and
mentorship to support career growth.
Foster a collaborative team culture that values transparency, ownership, and
continuous improvement.
Ensure that the team follows clean coding principles, test-driven development, and
proper documentation.
Conduct and guide peer code reviews to maintain high engineering standards.
Stay ahead of trends in AI/ML to keep our solutions cutting-edge and future-ready.
Preferred Skills:
Strong experience with backend technologies (e.g., PyTorch, Numpy, Pandas,
Python, REST APIs)
Exposure to data pipelines, analytics tools, or integrating AI/ML models
Familiarity with cloud platforms (AWS/GCP/Azure)
Project management experience (Agile, Scrum)
Excellent written and verbal communication skills
Data Science Engineer
Posted today
Job Viewed
Job Description
Position Overview
We're seeking a Data Science Engineer to join our innovative team and help shape the future of real estate analytics. In this role, you'll develop and implement advanced statistical models, machine learning algorithms, and data pipelines that power our platform's predictive analytics and market insights.
Key Responsibilities
Design and implement machine learning models for real estate market analysis and prediction
Develop and maintain scalable data processing pipelines
Create sophisticated statistical models for property valuation and market trends
Design and implement reinforcement learning solutions for dynamic pricing and decision optimization
Build and optimize data collection and validation processes
Implement feature engineering techniques to improve model performance
Develop automated reporting systems and interactive dashboards
Collaborate with full-stack and AI engineers to integrate models into production
Conduct A/B tests and experiments to validate model improvements
Document methodologies, algorithms, and technical specifications
Monitor and optimize model performance in production
Required Qualifications
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field
Minimum of 3 years of experience in data science / data analytics related domain.
Strong programming skills in Python and experience with data science libraries (NumPy, Pandas, Scikit-learn, Pytorch/Tensorflow)
Proven experience in developing and deploying machine learning models
Demonstrated experience in reinforcement learning and its practical applications
Expertise in statistical analysis and mathematical modeling
Experience with SQL and database management
Proficiency in data visualization tools (Matplotlib, Seaborn, D3 or similar)
Strong understanding of machine learning algorithms and their applications
Experience with version control systems (Git)
Excellent problem-solving and analytical skills
Strong communication skills to present technical findings to non-technical stakeholders
Preferred Qualifications
Experience in real estate analytics or related domain
Knowledge of deep learning frameworks (TensorFlow, PyTorch)
Familiarity with cloud computing platforms (AWS/GCP/Azure)
Knowledge of MLOps practices and tools
Experience with time series analysis and forecasting
Background in geospatial data analysis
Contributions to open-source data science projects
What We Offer
Opportunity to work on cutting-edge AI technology in the real estate sector
Collaborative environment with a team of experienced engineers
Professional development and growth opportunities
Competitive salary and benefits package
Remote-friendly work environment