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data scientist/sr. data scientist-data science-aa&i

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associate data scientist

BitGo

<div>
 BitGo is the leading infrastructure provider of digital asset solutions, delivering custody, wallets, staking, trading, financing, and settlement services from regulated cold storage. Since our founding in 2013, we have focused on enabling our clients to securely navigate the digital asset space. With a global presence and multiple Trust companies, BitGo serves thousands of institutions, including many of the industry's top brands, exchanges, and platforms, and millions of retail investors worldwide. As the operational backbone of the digital economy, BitGo handles a significant portion of Bitcoin network transactions and is the largest independent digital asset custodian, and staking provider, in the world. For more information, visit www.bitgo.com.
 
 
 We are building out our Product division and looking for
 
 an Associate Data Scientist
 
 to join our growing team.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Develop and standardize metrics and dashboards that would identify trends and generate hypotheses about the product through a deep understanding of the data, our customers, and our business
 </li>
 <li>
 Work collaboratively with cross-functional teams to implement reporting solutions driven by business requirements
 </li>
 <li>
 Design experiments and interpret results to draw detailed and impactful conclusions
 </li>
 <li>
 Develop and automate reporting of key performance indicators of various BitGo&rsquo;s products and services at scale
 </li>
 <li>
 Partner with product managers to design experiments to test hypothesis and help with idea generation and refinement
 </li>
 <li>
 Collaborate with engineering teams and stakeholders to build and improve on the availability, integrity, accuracy, and reliability of data pipelines
 </li>
 <li>
 Be a data evangelist and help BitGo improve its products and services
 </li>
 <li>
 Develop data-driven business insights and work with cross-functional partners to find opportunities and make product and growth recommendations.
 
 
 </li>
 </ul>
 
 Skills &amp; Experience:
 
 
 
 We are looking for teammates who share and practice our values: open communication, transparency, taking ownership, and a high level of craftsmanship. We are looking for coworkers who share our vision and mission: deliver trust in digital assets.
 
 
 
 Required:
 
 
 
 <ul>
 <li>
 1+ years industry experience in data analytics field
 </li>
 <li>
 Advanced knowledge of SQL, scripting languages and database concepts
 </li>
 <li>
 The ability to clearly communicate complex results to technical and non-technical audiences
 </li>
 <li>
 Knowledge of Basic Statistics required
 </li>
 <li>
 Experience with Google Analytics / Hubspot / SEM will be a plus
 </li>
 <li>
 Experience with BI Tools (Tableau, Looker,Google Data Studio, Google Big Query)
 </li>
 <li>
 Familiarity with data warehouse development and best practices
 </li>
 <li>
 The versatility and willingness to learn new technologies on the job such as DBT, Airflow
 </li>
 <li>
 BA/BS or MA/MS degree in Mathematics, Statistics, Economics, Information Systems, Computer Science, Business Analytics, Data Science or related technical field
 
 
 </li>
 </ul>
 
 Why Join BitGo?
 
 
 
 Disrupting an industry takes vision, innovation, passion, technical chops, drive to deliver, collaboration, and execution. Join a team of great people who strive for excellence and personify our corporate values of ownership, craftsmanship, and open communication. We are looking for new colleagues who bring innovative ways of thinking and problem solving, and who want risks to be part of the team that changes the world&rsquo;s financial markets.
 
 
 Here are some of the benefits of working at BitGo:
 
 
 <ul>
 <li>
 Competitive salary
 </li>
 <li>
 IT equipment support for work
 </li>
 <li>
 Meal &amp; Commute allowance
 </li>
 <li>
 Medical Insurance
 </li>
 <li>
 Attractive Well-being allowance (comprises of medical, wellness and fitness aspects)
 </li>
 <li>
 Snacks: on-the-house in the Bangalore office
 </li>
 <li>
 Great/Talented workforce to learn and grow with
 
 
 </li>
 </ul>
 
 Note:
 
 This role requires working onsite (Monday to Friday) at the Bangalore office.
 
 
 Cryptocurrencies are the most disruptive change the financial services industry has seen in years. Join us and you'll be able to look back and say you were part of the team that transformed investing.
</div>

Associate Data Scientist

Metyis

<div>
 
 Who We Are
 
 
 
 
 The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team.
 
 
 
 Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI &amp; Data, Digital Commerce, Marketing &amp; Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.
 
 
 With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.
 
 
 We are Metyis. Partners for Impact.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Interact with C-level at our clients on regular basis to drive their business towards impactful change
 </li>
 <li>
 Lead your team in creating new business solutions
 </li>
 <li>
 Seize opportunities at the client and at Metyis in our entrepreneurial environment
 </li>
 <li>
 Become part of a fast growing international and diverse team
 
 
 
 </li>
 </ul>
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Execute data science projects from start to end.
 </li>
 <li>
 Understand client business problems, define analytical approaches, and develop actionable solutions.
 </li>
 <li>
 Engage directly with stakeholders to gather requirements, present findings, and guide data-driven decisions.
 </li>
 <li>
 Preprocess and analyze structured and unstructured data using statistical approach.
 </li>
 <li>
 Build and deploy predictive models, forecasting solutions, recommendation systems.
 </li>
 <li>
 Collaborate with engineering, product, and business teams to translate insights into outcomes.
 </li>
 <li>
 Communicate results clearly through presentations and storytelling.
 
 
 
 </li>
 </ul>
 
 What You Will Bring
 
 
 
 <ul>
 <li>
 Graduate degree or higher with courses in programming, econometrics / data science
 </li>
 <li>
 Experience: 3 - 6 years of professional work experience in advanced analytics domain, using statistical modeling and deep learning for business problem solutions.
 </li>
 <li>
 Well-developed Logical Reasoning, Critical Thinking &amp; Problem-Solving abilities.
 </li>
 <li>
 Excellent presentations skills and storytelling capabilities.
 </li>
 <li>
 Self-driven with a collaborative attitude and a passion for delivering business value through data.
 </li>
 <li>
 Strong hands-on experience in Python/R and SQL.
 </li>
 <li>
 Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP.
 </li>
 <li>
 Experience with data visualization tools in python like &ndash; Seaborn, Plotly. Good understanding of Git concepts.
 </li>
 <li>
 Good experience with data manipulation tools in python like &ndash; Pandas, Numpy.
 </li>
 <li>
 Must have worked with scikit learn, NLTK, Spacy, transformers.
 </li>
 <li>
 Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis.
 </li>
 <li>
 Good understanding of deep learning concepts, especially in NLP and Computer Vision applications.
 </li>
 <li>
 Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like &ndash; Mlflow, model deployment, API integration, and CI/CD pipelines.
 
 
 
 </li>
 </ul>
 Good to have:
 
 
 <ul>
 <li>
 Generative AI Experience with text and Image data.
 </li>
 <li>
 Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face.
 </li>
 <li>
 Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG).
 
 
 
 </li>
 </ul>
 In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.
</div>

Data Science Associate

Definitive Healthcare

<div>
 Analytical Wizards is part of the Definitive Healthcare family. We balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what&rsquo;s now to what&rsquo;s next by unlocking the value of their data and applications to solve their challenges, achieving outcomes that benefit both business and society. Our people are our biggest asset, they drive our innovation advantage and we strive to offer a flexible and collaborative workplace where they can thrive. We offer industry-leading benefits packages to promote a creative and inclusive culture. If driving real change gives you a sense of pride and you are passionate about powering social good, we&rsquo;d love to hear from you.
 
 
 
 Role
 
 : Data Scientist / Senior Data Scientist
 
 
 
 Reports to
 
 : Associate Principal / Principal
 
 
 
 Profession
 
 : Data Science
 
 
 
 Office Location
 
 : Bangalore
 
 
 
 Job Description
 
 
 
 This position requires strong coding skills and experience in data handling and wrangling using Python. The candidate will work hands-on with projects in areas such as advanced analytics, generating reports and metrics from large, complex datasets, and solution workbenches. The role involves using a wide range of quantitative and analytical techniques to support clients in improving their business decisions.
 
 
 Additionally, the candidate will be involved in sales and marketing projects, including multi-channel marketing effectiveness, campaign performance analysis, marketing mix modeling, attribution, conversion rate optimization, segmentation, response modeling, and designing experiments (test/control analysis).
 
 
 The ideal candidate should have the ability to understand business contexts and apply relevant statistical and AI/ML tools and techniques to assigned projects. They should also have a keen aptitude for deriving insights from data, a willingness to learn data-handling tools and methods, and an openness to working within the healthcare domain. Familiarity with, or the ability to quickly learn, quantitative and analytical techniques to aid client decision-making is essential.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Expertise in custom projects focused on prescription and claims-based reporting and modeling using
 </li>
 <li>
 Partner with the Product and Customer Success teams to deliver informed analyses to customers.
 </li>
 <li>
 Create deliverables to assist with customer engagements.
 </li>
 <li>
 Collaborate with fellow team members to implement optimized solutions.
 </li>
 <li>
 Contribute to internal projects and processes.
 </li>
 <li>
 Collaborate with global team to create deliverables.
 </li>
 <li>
 Mentor junior analysts and help drive best practices.
 </li>
 <li>
 Independently scope client requests
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Data Experts with approximately 2 - 5 years of experience specializing in Python
 </li>
 <li>
 Educational background in Engineering, Operations Research, Econometrics and/or Statistics
 </li>
 <li>
 Hands-on experience with Python is mandatory.
 </li>
 <li>
 Must possess good interpersonal skills along with excellent presentation and communication skills.
 </li>
 <li>
 Proficient in Microsoft Excel and SQL.
 </li>
 <li>
 Ability to work with large data, think out of the box, assess current processes and offer ideas for improvement.
 </li>
 <li>
 Knowledge of Pharma datasets is good to have.
 
 
 </li>
 </ul>
 
 ISMS Responsibilities
 
 
 
 <ul>
 <li>
 Comply with information security policies and processes
 </li>
 <li>
 Report security weaknesses, events or potential events, or other security risks, to the organization
 </li>
 <li>
 Execute all tasks related to information security management system as appropriate
 
 
 </li>
 </ul>
 
 Why we love Analytical Wizards, and why you will too!
 
 
 
 <ul>
 <li>
 Industry leading products
 </li>
 <li>
 Work hard, and have fun doing it
 </li>
 <li>
 Incredibly fast growth means limitless opportunity
 </li>
 <li>
 Flexible and dynamic culture
 </li>
 <li>
 Work alongside some of the most talented and dedicated teammates
 </li>
 <li>
 A collaborative and friendly culture with very high employee engagement
 
 
 </li>
 </ul>
 
 About Company
 
 
 
 <ul>
 <li>
 Company Name: AnalyticalWizards Services Pvt. Ltd.
 </li>
 <li>
 Profile: A leading, high growth Analytics Software Development company developing products that touch and positively impact human lives across the globe. We are headquartered in New Jersey and have a software development and delivery center in Bangalore. Our work is mainly focused on Healthcare Industry. We develop core data science products that help our clients draw unique insights from their big data and achieve their business goals. We use advanced algorithms in the space of artificial intelligence and machine learning. Our technology-based software products are being used by the top pharma and biotechnology companies of the world. We have been recognized twice as one of fastest growing private companies of USA.
 </li>
 <li>
 Work Culture: Employee-friendly, collaborative, innovative, fast-paced, and conducive to learning
 </li>
 <li>
 Company Address: AnalyticalWizards Services Private Limited, Fortune Summit Business Park, Ground Floor, Hosur Road, Sector 6, HSR Layout, Roopena Agrahara, Bangalore - 560068
 </li>
 <li>
 Industry: Software Development and Data Science
 </li>
 </ul>
</div>

Data Scientist/Sr. Data Scientist-Data Science-AA&I

Version 1

<div>
 
 Company Description
 
 
 
 Version 1 has celebrated over 26 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. We&rsquo;re also an award-winning employer reflecting how employees are at the heart of Version 1.
 
 
 We&rsquo;ve been awarded: Innovation Partner of the Year Winner 2023 Oracle EMEA Partner Awards, Global Microsoft Modernising Applications Partner of the Year Award 2023, AWS Collaboration Partner of the Year - EMEA 2023 and Best Workplaces for Women by Great Place To Work in UK and Ireland 2023.
 
 
 As a consultancy and service provider, Version 1 is a digital-first environment and we do things differently. We&rsquo;re focused on our core values; using these we&rsquo;ve seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. This creates new opportunities for driven and skilled individuals to join one of the fastest-growing consultancies globally.
 
 
 
 Job Description
 
 
 
 This is an exciting opportunity for a Data Scientist to deliver high-value analytics solutions for the Version 1 AI Labs. This provides a unique opportunity for people who are passionate about technology and have a deep commitment to code quality and best practices to build something special and make a real difference to our business and to our customer&rsquo;s business.
 
 
 You will have strong experience in building solutions using a variety of open-source tools and exposure to Python, Spark, NLP, Transformers and a proven track record in delivering high-quality work to tight deadlines.
 
 
 The successful candidate will work on a wide range of projects across both traditional AI techniques (e.g. machine learning, predictive modelling, and NLP) and the latest advances in multimodal large language models, including those for image, video, and text generation or understanding.
 
 
 The role will require a data scientist with excellent communication skills, that is willing to continuously learn and listen. Creative problem solving and a keen understanding of how predictive analytics can be leveraged in business processes are a must. We&rsquo;re looking for a data scientist that is inherently curious, driven, willing to learn &amp; develop, with an owning the problem and self-starter attitude.
 
 
 
 Qualifications
 
 
 
 
 Essential:
 
 
 
 <ul>
 <li>
 Excellent communication skills, including written and oral English language skills
 </li>
 <li>
 Minimum 3+ years of experience in a Data Scientist role
 </li>
 <li>
 Graduate degree in Data Science, Statistics, or another quantitative field.
 </li>
 <li>
 Solid understanding of Spark
 </li>
 <li>
 Strong foundation in statistics
 </li>
 <li>
 Solid understanding of metrics and their usage.
 </li>
 <li>
 Expert programming skills in Python and SQL and with relevant Data Science &amp; ML frameworks (Scikit-learn, Pandas, PyTorch, etc)
 </li>
 <li>
 Deep understanding of statistical and ML algorithms, methodologies and approaches, and with deep learning &amp; LLMs (Gen AI).
 </li>
 <li>
 Experience with working with either Azure/AWS Cloud Environments.
 </li>
 <li>
 Python conventions, writing clean code and testing functionality
 </li>
 <li>
 Ability to work to own initiative and without heavy oversight
 </li>
 <li>
 Must show evidence of your passion for technology and continuous learning
 
 
 </li>
 </ul>
 
 Desirable
 
 
 
 <ul>
 <li>
 Familiarity with Huggingface
 </li>
 <li>
 Familiarity with Databricks
 </li>
 <li>
 Familiarity finetuning LLM.
 </li>
 <li>
 Experience working with Azure OpenAI, AWS Bedrock.
 </li>
 <li>
 Experience working with offshore team Consultancy experience
 
 
 </li>
 </ul>
 If you are up to the challenge, tick most of the boxes above and looking to own technical oversight of a highly motivated and driven team, then get in touch - we&rsquo;d love to speak with you!
 
 
 
 Additional Information
 
 
 
 At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth, and financial stability.
 
 
 One of our standout advantages is the ability to work with a hybrid schedule along with business travel, allowing our employees to strike a balance between work and life. We also offer a range of tech-related benefits, including an innovative Tech Scheme to help keep our team members up-to-date with the latest technology.
 
 
 We prioritise the health and safety of our employees, providing private medical and life insurance coverage, as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat.
 
 
 Our employee-designed Profit Share scheme divides a portion of our company's profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth.
</div>

Data Scientist

Tiger Analytics

<div>
 
 
 Job Title: Data Scientist/Lead Data Scientist
 
 
 
 
 Locations: Chennai | Hyderabad | Bangalore
 
 
 
 
 NP : Immediate Joiner - 15 Days
 
 
 
 
 Skills :
 
 Python , Data Science , ML Model building, GCP, Azure, AWS
 
 
 
 
 
 
 
 
 
 Who we are
 
 
 
 Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services &amp; solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.
 
 
 Our team of 6000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.
 
 
 We are a Great Place to Work-Certified&trade; (2022-24), recognized by analyst firms such as Forrester,
 
 
 Gartner, HFS, Everest, ISG and others. We have been ranked among the &lsquo;Best&rsquo; and &lsquo;Fastest Growing&rsquo;
 
 
 analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.
 
 
 
 
 
 
 Curious about the role? What your typical day would look like?
 
 
 
 As a Data Scientist/Senior/Lead Data Scientist, you will be at the forefront of solving high-impact business problems using advanced machine learning, data engineering, and analytics solutions. You will lead and contribute to projects involving the development, deployment, and monitoring of ML/AI models in GCP environment across industries. The role demands a balanced mix of technical expertise, stakeholder management, and leadership.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
  Lead and contribute to developing sophisticated machine learning models, predictive analytics, and
 
 
 statistical analyses to solve complex business problems.
 
 
  Demonstrate proficiency in programming languages such as Python, with the ability to write clean,
 
 
 efficient, and maintainable code.
 
 
  Use your robust problem-solving skills to develop data-driven solutions, analyse complex datasets,
 
 
 and derive actionable insights that lead to impactful outcomes.
 
 
  Take ownership of end-to-end model development&mdash;from problem definition and data exploration
 
 
 to model training, validation, deployment, and monitoring&mdash;delivering scalable solutions in real-
 
 
 world settings.
 
 
  Work closely with clients to understand their business objectives, identify opportunities for
 
 
 analytics-driven solutions, and communicate findings clearly and promptly.
 
 
  Collaborate with cross-functional teams, including data engineers, software developers, and
 
 
 business stakeholders, to integrate machine learning solutions into business processes, with an
 
 
 emphasis on production-grade deployment.
 
 
  Implement and scale AI/ML models on Google Cloud Platform using tools like Vertex AI
 
 
 Workbench, Vertex AI Pipelines (Kubeflow), and BigQuery to accelerate development and
 
 
 streamline production deployment.
 
 
  Deploy, serve, and manage high-performance models using Vertex AI Endpoints, Cloud Run, and
 
 
 Cloud Composer, ensuring resilience and observability via Vertex Model Monitoring, Cloud
 
 
 Monitoring, and Logging.
 
 
 
 
 
 
 What do we expect?
 
 
 
 ● 4&ndash;10 year&rsquo;s experience in data science and ML model development
 
 
 ● A passion for writing high-quality, modular, and scalable code (Python), with hands-on involvement across end-to-end project execution.
 
 
 ● Solid understanding of regression, classification, and statistical methods
 
 
 ● Proven experience deploying machine learning models in production using Google Cloud Vertex AI (Training Jobs, Custom Training, Model Registry, Scoring Jobs, Experiment Tracking using
 
 
 TensorBoard)
 
 
 ● Experience in orchestrating ML pipelines using Vertex AI Pipelines (Kubeflow) and/or Cloud
 
 
 Composer (Apache Airflow)
 
 
 ● Hands-on exposure to GCP services like Vertex AI SDK, Cloud Storage, Cloud Run, and CI/CD
 
 
 pipelines (GitHub Actions, Cloud Build)
 
 
 ● Experience with monitoring and maintaining ML models in production, using Vertex AI Model
 
 
 Monitoring and related GCP tools
 
 
 
 
 
 
 Good to Have
 
 
 
 ● Experience with Generative AI tools like Vertex RAG Engine, Agent Builder, Dialogflow CX, and
 
 
 Google Agent Development Kit (ADK)
 
 
 ● Familiarity with API management (Apigee), VPC networking, load balancers, and GCP SDKs such
 
 
 as Discovery Engine SDK, Reasoning Engine SDK, and GKE
 
 
 
 
 
 
 You are important to us, let&rsquo;s stay connected!
 
 
 
 
 
 
 Every individual comes with a different set of skills and qualities so even if you don&rsquo;t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.
 
 
 
 
 
 
 Note:
 
 The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.
 
 
 Additional Benefits: Health insurance (self &amp; family), virtual wellness platform, and knowledge communities.
 
 
 
</div>

Valiance Solutions

<div>
 
 
 About Us:
 
 
 
 At Valiance, we empower businesses with AI-driven insights and data analytics solutions. Specializing in demand forecasting within retail Industry very specific to
 
 Apparel and Footwear
 
 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/Timeseries forecasting for Retail Industry very specific to Apparel and Footwear (must have)
 </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 &amp; 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 &amp; Qualifications:
 
 
 <ul>
 <li>
 
 Experience:
 
 
 3-6 years of experience
 
 in data science or a related field, specifically in
 
 Demand/Timeseries forecasting for Retail Industry very specific to Apparel and Footwear (must have)
 
 </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&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Computer Science, or a related field.
 </li>
 </ul>
 
 
</div>

Explore 482+ Associate data scientist in Mangaluru this October. Find roles across top companies and apply now to boost your career.

482 associate data scientist jobs IN Mangaluru

Associate Data Scientist

Data Science Associate

Data Scientist/Sr. Data Scientist-Data Science-AA&I

Data Scientist/Sr. Data Scientist-Data Science-AA&I

Data Scientist

Data Scientist

Data Scientist