Seeking a Data Scientist to design, develop, and deploy data-driven solutions for optimized delivery operations and streamlined workflows. This role involves cross-functional collaboration, KPI tracking, and advanced analytics to enhance efficiency, reduce TAT, and improve decision-making. About SatSure: SatSure is a deep tech, decision Intelligence company that works primarily at the nexus of agriculture, infrastructure, and climate action creating an impact for the other millions, focusing on the developing world. We want to make insights from earth observation data accessible to all.Join us to be at the forefront of building a deep tech company in India that solves problems worldwide. Roles & Responsibilities: <ul><li>Lead the design, development, and deployment of data-driven solutions to enhance delivery operations, streamline workflows, and optimize business processes.</li><li>Collaborate with the engineering and operations teams to scale data models and ensure their integration into the production environment, optimizing performance metrics and business outcomes.</li><li>Work cross-functionally to influence the adoption of data-driven approaches that improve operational efficiency, minimize TAT, and reduce bottlenecks in the delivery process.</li><li>Define, track, and report on key performance indicators (KPIs) and success metrics for operational efficiency, providing actionable insights for continuous improvement.</li><li>Use advanced analytics, statistical methods, and machine learning techniques to solve complex operational challenges and improve decision-making processes.</li><li>Ensure data quality and accuracy in all operational workflows, designing and implementing robust quality control measures and continuous monitoring systems.</li><li>Identify new opportunities to automate repetitive tasks and optimize existing processes through innovative data science methodologies.</li><li>Communicate data-driven insights and technical results clearly to both technical and non-technical stakeholders to align operations with business goals.</li></ul> Qualifications: <ul><li> Master’s degree in Data Science, Computer Science, Operations Research, Statistics, Mathematics, or related fields.</li><li>2-4 years of data science experience, focusing on operational excellence, product delivery, or process optimization.</li></ul> Must-Have: <ul><li>Strong Python, R, and SQL proficiency for data manipulation, analysis, and querying.</li><li>In-depth knowledge of machine learning, statistical modelling, and optimization techniques.</li><li>Ability to convert business challenges into data-driven solutions, leveraging advanced analytics and machine learning.</li><li>Experience with database management, data extraction, transformation, and loading (ETL) processes.</li><li>Excellent problem-solving skills with a strong understanding of operational KPIs, workflow management, and resource optimization.</li><li>Strong communication skills to convey complex insights to non-technical stakeholders.</li></ul> Good to Have: <ul><li>Experience in the agriculture sector or a similar domain.</li><li>Hands-on experience with project management tools or software development workflows.</li><li>Exposure to PostgreSQL, Google Earth Engine (GEE), and geospatial data is a plus.</li><li>Working with data visualization tools like Tableau, Power BI, or similar platforms.</li></ul> Benefits: <ul><li>Comprehensive health coverage for you and your family, including mental health consultations.</li><li>Access to continuous learning and development opportunities.</li><li>Competitive leave policy including casual, paid, and bereavement leaves.</li><li>Bi-annual performance appraisals and structured career progression.</li></ul> Interview Process: <ul><li>Introductory call</li><li>Technical assessment</li><li>Case Study/Presentation</li><li>Interview rounds (3-4 rounds)</li><li>Culture fit/HR round</li></ul>

Algoleap is one of the fastest growing digital engineering services company based out of Hyderabad working with many fortune 1000 customers in transforming their digital landscape. At Algoleap, we believe that a truly innovative and successful workplace is one where diversity, equity, and inclusion thrive. We are dedicated to building a team that celebrates unique perspectives and experiences, fostering an environment where everyone is empowered to succeed. Algoleap offers compelling full-time roles designed to help you grow and excel. Our positions come with flexible options, including onsite and hybrid roles, allowing our team members to work closely with our clients and make a direct impact on the engagements at the same time offering great work life balance. Skills• 8+ years of experience in data science, machine learning, and AI• Proficiency in Python, SQL and data visualization tools like Tableau or PowerBI• Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or Keras• Knowledge of deep learning architectures and techniques for computer vision, NLP, and generative AI• Hands-on experience with big data technologies such as Hadoop, Spark, and NoSQL databases• Understanding of MLOps principles and tools for model versioning, monitoring, and deployment• Familiarity with Kubernetes core concepts like pods, deployments, services, and ingress• Strong communication and leadership skills to effectively collaborate with cross-functional teams• Ability to work in a fast-paced, agile environment and adapt to changing priorities•

About Us:At Valiance, we empower businesses with AI-driven insights and data analytics solutions. Specializing in demand forecasting within retail, fashion, and CPG domains, we leverage standardized ML models to deliver accurate forecasting outcomes to our clients. We are looking for a skilled Data Scientist who can interpret and improve these models to drive real-world business results. Role Overview:The Data Scientist will be responsible for applying our pre-trained demand forecasting models to generate actionable insights and highly accurate forecasting outcomes. This role involves thorough data analysis, identifying trends and anomalies, interpreting results, and communicating findings effectively to a non-technical business audience. The ideal candidate is less focused on creating algorithms and more oriented towards solving business challenges and providing insights that make a tangible impact. Key Responsibilities:<ul><li>Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and anomalies in demand forecasting data for retail, fashion, and CPG sectors.</li><li>Model Utilization: Leverage existing pre-trained forecasting models, optimizing their performance by incorporating a nuanced understanding of data points and improving model outcomes based on data insights.</li><li>Interpretation & Communication: Interpret model results and explain outcomes in simple, actionable terms for business stakeholders, ensuring clarity and relevance.</li><li>Insights Generation: Develop insights that guide business decisions, aiming for highly accurate forecasting outcomes to meet business requirements.</li><li>Collaboration: Work closely with cross-functional teams, including business stakeholders and analysts, to ensure forecasting outputs align with business objectives and provide real-world value.</li><li>Continuous Improvement: Identify opportunities to improve model performance through better data usage and fine-tuning, rather than new model development.</li></ul> Required Skills & Qualifications:<ul><li>Experience: 3-5 years of experience in data science or a related field, specifically in demand forecasting for retail, fashion, or CPG industries.</li><li>Technical Proficiency: Strong skills in data analysis, data visualization, and working with pre-trained ML models. Proficiency in Python, and SQL is preferred.</li><li>Business Focus: Strong orientation towards solving business problems rather than a pure focus on machine learning algorithms.</li><li>Communication Skills: Ability to clearly communicate insights and forecast results to non-technical stakeholders in simple, understandable language.</li><li>Problem Solving: Demonstrated ability to interpret data, uncover actionable insights, and suggest practical solutions for business needs.</li><li>Detail-Oriented: Thorough attention to detail, ensuring accuracy in forecasting and relevance of insights.</li><li>Educational Background: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.</li></ul>

Role and Responsibilities:We are seeking a data scientist to join our Data Analytics team to help us make better business decisions based on our data. The ideal candidate will have a working knowledge of statistics, AL / ML algorithms, mathematics, and data science programming languages (e.g., SQL, R, and Python). Your primary responsibilities will be performing statistical analyses, exploratory data analysis, data research, study the data thoroughly, running custom SQL queries, and identifying patterns and trends that can improve our products and services’ efficiency and usability. Should be able to work as an individual contributor and provide robust insights, analysis and analytical reporting to interpret results and inform key business areas on trends and business insights. Maintain good relationship with stakeholders. Should be proactive to learn new skills per business requirement. Familiar with extraction of relevant data, cleanse and transform data into insights that drive business value, through use of data analytics, data visualization and data modeling techniques. Qualifications and Education Requirements:Technical bachelor’s degree. Preferably in statistics, computer science, mathematics, or engineering. Preferred Skills:Should have EXCELLENT knowledge on:<ul><li>Statistical analysis: Identify patterns in data. This includes having a keen sense of pattern detection and anomaly detection. Artificial Intelligence & Machine learning Techniques: Expert level knowledge on AI / ML techniques. Implement algorithms and statistical models to enable a computer to automatically learn from data. Strong knowledge of Python & R, MS Azure ML Studio, AWS, or Google Cloud. Knowledge of data science toolkits such as R, NumPy, and MATLAB.</li><li>Computer science: Apply the principles of artificial intelligence, database systems, human/computer interaction, numerical analysis, and software engineering. Programming: Write computer programs and analyze large datasets to uncover answers to complex problems. Data scientists need to be comfortable writing code working in a variety of languages such as Python, Java, R, and SQL. Data storytelling: Communicate actionable insights using data, often for a non-technical audience. Analytical thinking. Find analytical solutions to abstract business issues. Business intuition: Connect with stakeholders to gain a full understanding of the problems they’re looking to solve. Interpersonal skills: Communicate across a diverse audience across all levels of an organization.</li><li>Critical thinking: Apply objective analysis of facts before coming to a conclusion. Inquisitiveness: Look beyond what’s on the surface to discover patterns and solutions within the data. Perform data mining, exploration, and analysis.</li><li>Ability to store and process unstructured data with NoSQL databases and machine learning models</li><li>Design, train, and implement machine learning algorithms.</li><li>Strong attention to detail and accuracy of output.</li><li>Advanced knowledge of SQL and Excel.</li><li>Strong Data Visualization skills preferably MS PowerBI.</li><li>Keeping up to date with the latest tools and trends.</li><li>Excellent verbal and written Communication skills</li><li>Leverage predictive models to optimize customer experiences.</li><li>Creating automated anomaly detection.</li></ul> Work Experience:3+ year of relevant experience.Strong domain knowledge. Additional Notes:Should be ready work in shifts. CV's can be shared at indrajit_chowdhury@ajg.com

Job descriptionWe are having a weekend virtual drive for the requirement of a Data ScientistDate - 26th OctoberExperience - 6+ YearsMandatory Skills - Data Science, Gen AI, Python, RAG and Cloud (AWS/Azure)Notice Period - Immediate to 60 Days onlySecondary - (Any) - Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment Generic JD :<ul><li>More than 6 years of experience in Data Engineering, Data Science and AI / ML domain</li><li>Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc.</li><li>Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop)</li><li>Experience in Cloud native skills.</li><li>Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset</li><li>Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra)</li><li>Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable.</li><li>Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc.</li><li>Great communication and presentation skills. Should have experience in working in a fast-paced team culture.</li><li>Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc.</li><li>Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases</li><li>Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc.</li><li>Should be a data-oriented person with analytical mind and business acumen</li></ul>

Role & Responsibilities:Applied Math, Statistics, and Scientific PracticesApply designated quantitative techniques such as time series analysis, optimization and simulation to create and embed appropriate models for analysis and predictionProvide guidance on matching data sources with relevant applied mathematics and statistical techniques to meet analysis goalsApply appropriate statistical techniques to available data to discover new relations and offer insight into research problems, helping to improve organizational processes and support decision makingAccess and use the statistical tools available within the organizationData Engineering and ManipulationWork with data engineers and data scientists to design and deliver products into the organization effectivelyDemonstrate understanding of the reasons for cleansing and preparing data before including it in data science products and put reusable processes and checks in placeAccess and use a range of architectures (including cloud and on-premise) and data manipulation and transformation tools deployed within the organizationData Science InnovationDemonstrate practical knowledge of data science tools and techniquesDevelop data science solutions that maximize insightIdentify opportunities for how data science can improve data practicesDelivering Business ImpactDemonstrate an understanding of the organization and the benefits of data scienceCollaborate to help identify user needs and develop and deliver data science productsCommunicate effectively and present analysis and visualizations tailored to your audience Developing Data Science CapabilityManage a continuous professional development plan and link to learning objectives and organizational goalsSupport data science capability building across the team and wider organizationConfidently talk about the benefits of data science approaches to existing and potential customersDemonstrate a good understanding of a range of data science techniques, such as machine learning and natural language processing, and you can use them to build data science solutions, including reports, models and dashboardsEthics and PrivacyDemonstrate an understanding of how ethical issues fit into a wider context and work with relevant stakeholdersStay up to date with developments in data ethics standards and legislation frameworks, using these to improve processes in your work areaIdentify and respond to ethical concerns in area of responsibilityProgramming and BuildWrite moderate to complex programs and scriptsShow a good understanding of testing methodologies and how to deploy codeUnderstanding Product DeliveryDemonstrate an understanding of the differences between delivery methods, such as Agile and waterfall, and can choose the most appropriate method to deliver each productDefine the minimum viable product (MVP) and support decisions about prioritiesWork with specialists in multidisciplinary teams to smoothly deliver data science products into the organization Qualifications/Skills:RequiredMaster’s or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field or Bachelor’s with minimum 3 years experience.Strong academic background with coursework or research in machine learning, AI, statistical modeling, and data analysis.Proficiency in programming languages such as Python or R for data analysis and machine learning.Familiarity with libraries and frameworks like TensorFlow, PyTorch, scikit-learn, pandas, and NumPyAdvanced knowledge of statistical methods and techniquesExperience in hypothesis testing, regression analysis, clustering, and classification.Expertise in machine learning algorithms and techniquesFamiliarity with big data technologies and frameworks (e.g., Hadoop, Spark)Proficiency in SQL, relational database, and NoSQL databases.PreferredStrong analytical and problem-solving skills.Ability to evaluate assumptions and limitations of data.Excellent verbal and written communication skills.Experience working collaboratively in interdisciplinary teams.

Data Scientist Jobs in Bangalore Urban, Karnataka

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Data Scientist Jobs in Bangalore Urban, Karnataka

Data Scientist 1November 18, 2024

Data ScientistNovember 17, 2024

Data ScientistNovember 16, 2024

Data ScientistNovember 10, 2024

Virtual Weekend Drive Data Scientist 26Th Oct Pan IndiaOctober 26, 2024

Data ScientistOctober 23, 2024