Data Scientist Job Description: Top Duties and Qualifications

Job Brief – Lead Data Engineer

Lead Data Engineer responsibilities include managing the data science team, planning projects and building analytics models. You should have a strong problem-solving ability and a knack for statistical analysis. If you’re also able to align our data products with our business goals, we’d like to meet you.

Responsibilities

· Manage a team of data scientists, machine learning engineers and big data specialists

· Lead data mining and collection procedures

· Acquire data from primary or secondary data sources and maintain databases/data systems

· Identify, analyze, and interpret trends or patterns in complex data sets

· Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems

· Create and manage data pipeline on cloud platforms – Azure, AWS , GCP

· Ensure data quality and integrity

· Interpret and analyze data problems

· Conceive, plan and prioritize data projects

· Build analytic systems and predictive models

· Test performance of data-driven products

· Visualize data and create reports

· Experiment with new models and techniques

· Align data projects with organizational goals

Requirements and skills

· Proven experience as a Data Scientist or similar role with relevant experience of at least 4 years and total experience 6-8 years.

· Technical expertiseregarding data models, database design development, data mining and segmentation techniques

· Strong knowledge of and experience with reporting packages (Business Objects and likewise), databases, programming in ETL frameworks

· Experience with data movement and management in the Cloud utilizing a combination of Azure or AWS features

· Hands on experience in data visualization tools – Power BI preferred

· Solid understanding of machine learning

· Knowledge of data management and visualization techniques

· A knack for statistical analysis and predictive modeling

· Good knowledge of Python and Matlab

· Experience with SQL and NoSQL databases including ability to write complex queries and procedures

· Strong organizational and leadership skills

· Excellent communication skills

· A business mindset

Degree in Computer Science, Data Science, Mathematics or similar field

Job Type: Full-time

Salary: ₹2,300,000.00 - ₹2,400,000.00 per year

Schedule:

Day shift



Experience:

Data science: 6 years (Preferred)

Data mining: 6 years (Preferred)

ETL frameworks: 6 years (Preferred)

AWS CloudFormation: 6 years (Preferred)

Azure: 6 years (Preferred)

Power BI: 6 years (Preferred)

SQL & NoSQL: 6 years (Preferred)


Work Location: In person

Speak with the employer
+91 Deadline: 02/09/2023

Job description

position is remote we need for 2-3 hours part time.

We are seeking a highly skilled and experienced Senior Data Scientist specializing in route optimization and time series analysis. In this role, you will be responsible for developing advanced algorithms and models to optimize route planning and improve efficiency for our organization. You will leverage your expertise in time series analysis to derive insights and build predictive models for forecasting and decision-making purposes.

Responsibilities:

Develop and implement route optimization algorithms to improve efficiency and reduce costs in transportation and logistics operations.

Apply statistical and machine learning techniques to analyze time series data and extract meaningful insights.

Build predictive models for forecasting time-dependent variables, such as demand patterns, travel times, and resource utilization.

Collaborate with cross-functional teams to gather requirements, understand business needs, and translate them into data science solutions.

Clean, preprocess, and wrangle complex data sets to ensure their quality and suitability for analysis.

Design and conduct experiments to validate models and algorithms, ensuring their accuracy and robustness.

Communicate findings, insights, and recommendations to stakeholders in a clear and concise manner, both verbally and through data visualizations.

Stay up-to-date with the latest research and advancements in route optimization, time series analysis, and data science techniques, incorporating relevant methodologies into your work.

Provide technical leadership and mentorship to junior data scientists or analysts within the team.

Collaborate with product teams to integrate data-driven solutions into the organization's systems and processes.

Requirements:

Bachelor's degree or higher in a relevant field (e.g., Computer Science, Statistics, Mathematics, or related disciplines).

Minimum of 5 years of experience as a Data Scientist, with a focus on route optimization and time series analysis.

Strong expertise in developing and implementing route optimization algorithms and models.

In-depth knowledge of statistical analysis, machine learning, and time series forecasting techniques.

Proficiency in programming languages commonly used in data science, such as Python or R.

Solid understanding of data wrangling, preprocessing, and feature engineering techniques.

Experience working with time series data, including feature extraction, decomposition, and anomaly detection.

Familiarity with data visualization tools and libraries to effectively communicate complex concepts.

Strong problem-solving and analytical thinking skills, with the ability to tackle complex business problems and provide innovative solutions.

Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and present findings to stakeholders.

Proven track record of delivering data science projects on time and with high quality.

Experience in the transportation, logistics, or related industries is a plus.

Preferred Skills:

Experience with optimization techniques and tools for route planning, such as linear programming or genetic algorithms.

Familiarity with spatial data analysis and geographic information systems (GIS).

Knowledge of database querying languages (e.g., SQL) and working with structured and unstructured data.

Proficiency in data visualization tools such as Tableau or Power BI.

Strong publication record or contributions to the data science community.

Job Type: Freelance
Contract length: 3 months

Salary: ₹30,000.00 - ₹40,000.00 per month

Benefits:

Work from home
Schedule:

Day shift
Supplemental pay types:

Performance bonus



Ability to commute/relocate:

Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Required)

Experience:

Data science: 8 years (Required)


Work Location: In person

Speak with the [phone number]

[website] | [website]

Sr. Data Scientist

About Clarapath Inc.
Founded in 2014, Clarapath’s mission is to transform the laboratory space and advance how hospitals provide laboratory care. Healthcare costs continue to sky-rocket and a foundational element to providing high-quality, low-cost, convenient care to patients requires constant innovation. Our company is strategically backed by one of the largest hospitals in the country, as well as visionary pharmaceutical and academic leaders. In collaboration with our partners, we hope to provide the next generation of patients with better care, as well as enable life-saving drugs for future generations. From our fully-automated, precision sectioning technology to world-class imaging and analysis expertise, our team represents the future of digital pathology.
To continue our track record of growth we are looking for the best talent, those who take the initiative, are self-directed learners, team players, have a passion for solving complex problems and those who want to make a societal impact. We offer challenging opportunities to join a uniquely innovative company that straddles the worlds of medical devices, industrial automation and technology.

Clarapath has achieved a significant milestone with the successful acquisition of Crosscope, a prominent California-based digital pathology company. Crosscope is renowned for its comprehensive imaging solution, which encompasses top-tier workflow tools, slide management capabilities, and cutting-edge artificial intelligence (AI) and machine learning
(ML) technologies. This acquisition strategically bolsters Clarapath's offerings, empowering pathologists with enhanced decision-making capabilities through accelerated and improved processes

To learn more about us, please visit us at [website]

Key Responsibilities:

● Design and develop predictive models, ML algorithms, statistical analyses and feature engineering to solve complex problems for hardware feedback, ease of use for customers, retrospective data analysis and expanding product capabilities

● Evaluate the performance of AI/ML/Computer Vision models/algorithms using relevant metrics, ensuring they meet industry-specific requirements.

● Participate in the full lifecycle of AI projects, from ideation and model development to implementation, validation, and deployment.

● Create informative and visually appealing data visualizations and reports.
● Identify opportunities for innovation and improvement in analytics and data-driven decision-making.

● Communicate complex computer vision concepts, and project outcomes to a diverse audience, including technical and non-technical stakeholders.

● Provide mentorship and guidance to junior AI scientists and data scientists

Qualifications and Skills:

● Seeking candidates with a Ph.D. in computer vision, machine learning, computer science, clinical machine learning, or a related field, or equivalent practical experience (e.g., a
Master's degree plus 6 years of relevant industry experience)

● Proven 6 years of professional experience as a Data Scientist with a significant focus on healthcare data analysis and modeling.

● Proven expertise in developing models for diverse computer vision tasks, including segmentation, recognition, classification, and domain adaptation.

● Exceptional programming skills in Python, with the ability to process TB-scale image datasets using Linux/Bash.

● Proficiency in utilizing modern deep learning frameworks such as PyTorch, JAX, Keras, etc.
● Extensive hands-on experience in working with biomedical imaging modalities.
● Strong familiarity with modern representation learning approaches like self-supervised learning, transfer learning, multi-modal modeling, few-shot learning, and more.
● Excellent communication skills, with the ability to communicate technical concepts to non-technical healthcare stakeholders.
● Passion for creating a positive impact on the world.

Other details:

● Job location : Powai, Mumbai.
● Work Experience : 6-8 years
● Salary Range : 30 - 40 lpa
● WFO Role

Job Type: Full-time

Salary: Up to ₹4,000,000.00 per year

Benefits:

Health insurance

Provident Fund
Schedule:

Day shift

Monday to Friday



Application Question(s):

Do you have experience in using large scale image processing datasets?

Have you used large-scale image processing datasets before? Yes, then for how many years?

Do you have any prior experience in programming using Pyhon and Linux?

Do you have prior experience with deep learning frameworks such as Tensorflow, PyTorch, Keras etc

If we give you an offer today, how soon can we expect you to join?

Experience:

total work: 8 years (Required)

Ability to Commute:

Mumbai Suburban, Maharashtra (Required)


Work Location: In person

Speak with the employer
+91 Start Date: 17/10/2023

We’re looking for Data Scientist & Analytics with 2-5 years of experience in manipulating data sets and building statistical models, has a Bachelor's or Master’s in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:



 Must have:

Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Tree text mining, etc.

Experience querying databases and using statistical computer languages: R, Python, SQL, etc. 

Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. 



Good to Have: 

Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. 

Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc. 

Responsibilities: 

Identifying and translating business problems to data science problems. 

Selecting features, building and optimizing machine learning algorithms that impact the business 

End to end model deployment working closely with engineering teams. 

Monitoring model performance and creating alerts for any data leakage



Job Type: ₹1,000,000.00 - ₹1,500,000.00 per year

Full Job Description

‘A for Analytics’ is looking to hire a Data Scientist. A for Analytics is the leading global system Integrator for the last several years in the global Market, offering Business Intelligence, Data Engineering, Artificial Intelligence and ZOHO services to customers. A for Analytics helps customers in Advisory, Solution Delivery, 24/7 Technical Support and Fully Managed Services.

As a Data Scientist, you will apply your strategic and analytical skills to major company challenges. You will team with world-class professionals to identify actionable insights that ultimately impact the bottom line. We work in a space that looks deeply into emerging fraud trends and the business enablement opportunities that help the business in fuelling growth and strategic decisions. You will be able do it all in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation with a global team that is multi-disciplinary with broad spectrum of industry experiences, deep analytical and quantitative expertise.

Responsibilities

Develop production-ready implementations of proposed solutions across different ML and DL algorithms, including testing on live customer data to improve efficacy, and robustness

Work closely with other functional teams to integrate implemented systems into the SaaS platform

Create use cases with respect to domain for solving a business problem.

Research and test novel machine learning approaches for analyzing large-scale distributed computing applications.

Suggest innovative and creative concepts and ideas that would improve the overall platform

Strong understanding of the most recent trends around telecom industry and adoption.

Requirements

Extensive experience handling data analytics in the telecom industry or on telecom products.

Exposure or Experience in building Recommendation engine in a large scale.

In-depth working knowledge beyond coursework, familiarity with statistical techniques and current ML techniques, both supervised and unsupervised learning techniques and other ML Techniques.

Experience on end to end ML models deployment in production.

Experience in working on modeling graph structures related to spatiotemporal systems.

Keras, TensorFlow,PyTorch. And knowledge of Big Data tools and environment.

Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization.

Knowledge of MySQL/No SQL is an added advantage.

Required Qualifications

· 3 – 4 years’ experience in analytics or program management

· 3 – 4 Proficiency using SQL and querying relational databases

· 3 - 4Experience in at least one statistical programming language (SAS, R, Python)

· 3 years experience with project/program management

Experience : At least 3years

Salary : Rs. 10,00,000.00 – Rs. 15,00,000.00 per year

Benefits:

Flexible schedule

Internet reimbursement

Leave encashment

Provident Fund

Health Insurance

Job Type: Full-time

Salary: ₹1,000,000.00 - ₹1,500,000.00 per year

Benefits:

Health insurance

Paid sick time

Paid time off

Provident Fund
Schedule:

Day shift

COVID-19 considerations:
Musk is necessary in the premises, Use sanitizer to keep your hands clean.

Ability to commute/relocate:

Thousand Lights, Chennai - 600002, Tamil Nadu: Reliably commute or planning to relocate before starting work (Required)

Experience:

total work: 3 years (Preferred)

Speak with the [phone number]

4+ years’ experience in Analytics systems/program delivery. Currenlty WFH

At least 2 Big Data or Advanced Analytics project implementation experience.

Experience using statistical computer languages (R, Python, SQL, Pyspark, etc.) to manipulate data and draw insights from large data sets, familiarity with Scala, Java or C++.

Analyse large amounts of information to discover trends and patterns for insurance industry.

Build predictive models and machine-learning algorithms.

Combine models through ensemble modelling.

Present information using data visualization techniques.

Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.

Hands-on knowledge of implementing various AI algorithms and best-fit scenarios.

Experience using business intelligence tools (e.g., Tableau, MS Power BI) and data frameworks (e.g., Hadoop).

Strong math skills (e.g., statistics, algebra).

Deploying data pipelines in production based on Continuous Delivery practices.

Excellent communication and teamwork skills.

Great attention to detail.

Organizational skills.

An analytical mind.

Job Type: Full-time

Salary: ₹350,000.00 - ₹800,000.00 per year

Ability to commute/relocate:

Kochi, Kerala: Reliably commute or planning to relocate before starting work (Required)

Experience:

Big data: 2 years (Preferred)

AI: 2 years learning: 2 years (Preferred)

Job Information

Department Name
Data

Work Experience
2-3 years

Industry
Entertainment

City
Bangalore North

State/Province
Karnataka

Country
India

Zip/Postal Code
560008

About us
We are one of India’s most exciting & fast-growing mobile gaming companies. Founded in 2014, and creating a global mobile gaming landscape in partnership with Modern Times Group (MTG), our Vision is to create simple, impactful casual game experiences at a massive scale. Since our inception, we have built a worldwide network of chart-topping games, and powerful tech & analytics infrastructure to turbocharge their growth. Our product portfolio consists of evergreen hits like Daily Themed Crossword, WordTrip, WordJam, WordWars, WordTrek, and Solitaire.

Visit us at [website] to know more.

Job Description
Position Summary

We’re looking for Data Scientists to join our Central Analytics team. It’s a fast-paced, high-adrenaline job, with plenty to learn.

If you enjoy crunching numbers, are never satisfied with the products around you, and have always wanted to make things better than the best, you’ll love this job.

*
What’s required of you*

You will work closely with product leaders as a data-driven advisor and partner on strategic issues.

Will work collaboratively with game teams to deliver actionable insights into our games to further increase user acquisition, engagement and monetization.

Will proactively perform a wide range of analyses to identify trends, issues, and opportunities across games help us continue to improve gameplay.

Will answer business-related questions through exploratory data analyses and ad-hoc reporting.

*
Requirements*

[website] in Computer Science/Statistics with demonstrated experience in ML/Statistics

Hands on experience in Python/Spark for data crunching, data visualization and machine learning.

SQL skills: Experience querying large, complex datasets from a data lake/warehouse.

Ability to execute research projects, and generate practical results and recommendations.

The candidate should enjoy both working with people and undertaking rigorous statistical analyses.

Knowledge of Deep Learning is highly Type: Full-time

What would you be doing?

Own the quality of end to end learning content for our flagship programs in international markets

Ensure ongoing review of all the learning content and identify opportunities to improve quality in terms of appropriateness, accuracy, richness.

Lead the efforts towards updating the content as well as creating additional content - videos, reading material, exercises and assignments. This will include creating content by self as well as engaging with SMEs to create the same. The most important aspect here will be to pick up problems from across business domains and functions, create solutions for them and then translate them into case studies.

Deliver a great learner support experience by ensuring timely response and feedback on all academic queries from learners

Create unique learning experiences that enable Great Learning customers to have a delightful learning experience and meaningful outcomes, these could be hackathons, conferences, panel discussions, industry sessions, ad-hoc competitions etc.

Use insights derived from ad-hoc data analyses to answer questions from different
business stakeholders

Develop advanced analytics systems using driver or predictive models to identify factors that influence business outcomes like learners' success, workforce productivity, etc. and help design and automate interventions to accelerate growth

Required Technical and Professional Expertise

Experience in using jupyter notebooks and Python to manipulate data and draw insights from large data sets

Experience in creating and using advanced machine learning algorithms and statistics such as regression, modelling, clustering, decision trees, neural networks, etc.

Experience with open-source ML/math toolkits such as scikit-learn, Pandas, NumPy, etc.

Strong written, verbal, and presentation skills with the ability to present complex concepts in easy to understand language

Preferred Technical and Professional Expertise

Experience with open-source DL toolkits such as TensorFlow, Pytorch etc.

Demonstrated written communication skills in a customer facing environment

Job Types: Full-time, Regular / Permanent

Salary: Up to ₹1,200,000.00 per year

Benefits:

Flexible schedule

Food allowance

Health insurance
Schedule:

Day shift

Flexible shift

Ability to commute/relocate:

Bengaluru - 560102, Karnataka: Reliably commute or planning to relocate before starting work (Preferred)

Education:

Bachelor's work: 2 years (Required)

Job description

Roles and Responsibilities

Managing available resources such as hardware, data, and personnel so that deadlines are met.

Analyzing the ML and Deep Learning algorithms that could be used to solve a given problem and ranking them by their success probabilities.

Exploring data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.

Defining validation framework and establish a process to ensure acceptable data quality criteria...

Craete ML

DL PL

Work on cutting Edge Skills.

Job Types: Full-time, Regular / Permanent

Salary: ₹297,592.45 - ₹800,000.00 per year

Schedule:

Day shift

Ability to commute/relocate:

Pune, Pune - 411045, Maharashtra: Reliably commute or planning to relocate before starting work (Required)

Experience:

Code: 1 year (Preferred)

write algo models: 1 year (Preferred)

algorithms Model: 1 year (Preferred)

Machine learning language: 1 year (Preferred)

Machine learning Operation: 1 year (Preferred)

Speak with the [phone number]

Remote (WFH) Opportunity

Main Responsibilities:

Lead advanced data techniques and develop innovative prototypes of predictive data models through rapid build, validate, test and deploy so as to produce actionable insights that improve forecast accuracy, customer targeting and product recommendations and enable our internal teams to deliver a superior customer experience that provides competitive advantage.

Key Tasks:

Work closely with Data Analytics Lead to translate COE strategy stakeholder needs for predictive insights from their product solutions, scope out relevant use cases and deliver corresponding data models in an automated and timely manner

Deep dive into multiple internal and external structured and unstructured data to conduct advanced statistical analyses

Integrate, simulate, and A/B test the impact of algorithms and features

Develop quick data model prototypes by innovating, as well as hacking your way with off-the-shelves packages through iterative build, validate, test cycles

Store, retrieve, and visualize results in a presentable manner that facilitates decision-making for rollouts

Collaborate with regional data stewardship team to productionize and deploy final machine learning/ data science models efficiently in AWS

Publish innovation/findings and contribute to IP creation

Be key sparring partner for Data Analytics Lead to identify gaps in our data strategy and support in strategic planning of data analytics roadmap

Serve as secondary point of contact with global decision sciences team and periodically exchange updates and learnings on predictive data analytics and use cases
Qualifications:

-Masters in Computer Science, Engineering, Sciences, Math and Statistics or other relevant courses

-4-5 years relevant work experience

-Strong knowledge and practical application of ML algorithms such as Neural Network architectures, SVM, decision trees, boosting techniques etc

-At least 2+ years experience in building production-grade ML models and productionizing/deployment

-Experience in AWS EMR, PostgresSQL ,Python, cloud APIs and using data processing platforms like Hadoop and Apache Spark

-Self-motivated, independent learner, and willing to share knowledge/be mentor with team members

-Good verbal and written communication skills to effectively engage with and present to non technical/ business stakeholders

Job Types: Full-time, Contractual / Temporary
Contract length: 12 months

Salary: ₹724,825.18 - ₹2,044,310.41 per year

Schedule:

Day shift

Experience:

total work: 1 year (Required)

Speak with the +[phone number]63