Statistician Jobs in Kākināda
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Search Results - Statistician Jobs in Kākināda
Akkodis-Kākināda
At least 3+ years of experience as a statistician in the pharmaceutical industry Basic experience in R Programming •Proficient in English (oral and written) •Good programming skills in and R (function, package) and SAS (Macro, SQL) •Strong...
Energy & Finance Institute-Kākināda
of our business. What You’ll Do Analyze complex datasets to uncover trends, patterns, and actionable insights. Develop predictive models and statistical analyses to support business strategies. Collaborate with cross-functional teams to understand data...
Exacta Solutions Ltd-Kākināda
mathematical algorithms and simulations to determine game outcomes and ensure fairness. Statistical Analysis: Perform statistical analysis on game data to ensure game integrity and compliance with regulatory standards. Payout Structures: Design and validate...
Stellar Hunters-Kākināda
including statistical modeling and machine learning, to enhance analytical capabilities. Evaluate and incorporate relevant academic and industry advancements. Data Analysis and Insights Analyze complex datasets, including financial, economic, and sentiment...
Matsya Capital-Kākināda
Responsibilities Assist and set up processes to organize, store and analyze data sets Use statistical techniques to mine insights from available data Utilize time series analysis to meticulously sift through data points, identifying pivotal patterns, trends...
Holcim Global Digital Hub-Kākināda
mathematics skills (e.g. statistics, algebra) Certification in Cloud Analytics Platforms – AWS must The Data Scientist will be part of Global Digital Hub and will play a key role in enabling business for Data Driven Operations and Decision making in Agile...
ELife Transfer-Kākināda
for improved performance and efficiency. Provide technical leadership and mentorship to junior members of the team. Job requirements Bachelor's or master's degree in computer science, mathematics, statistics, or related field. Proficient in Python, SQL...
10decoders-Kākināda
with potential clients. To be successful as a key account manager, you should be able to analyze data and sales statistics and improve business and marketing strategies. Ultimately, an exceptional key account manager should be able to manage multiple key accounts...
WORMS Safety-Kākināda
Artificial Intelligence, Statistics, Mathematics, or a related field. Experience: 3+ years of hands-on experience in developing AI and ML models, data analysis, and statistical modeling. Technical Skills: Proficient in Python, R, or other programming languages commonly...
bluCognition-Kākināda
reviews for existing customers. Collates analysis and builds presentations that helps articulate the risk strategy for the leadership team. To help us level up, you will ideally have: Quantitative background in engineering, statistics, math, economics...
bluCognition-Kākināda
to proactively assess and recommend both short term and long
• term repayment and collections strategies.
To help us level up, you will ideally have:
• Quantitative background in engineering, statistics, math, economics, business, or related disciplines.
• 5+ years...
v4c.ai-Kākināda
Qualifications: Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field. A Master’s degree or MBA is a plus. Experience in project management, with a focus on data science, analytics, or software development projects.
Proven experience...
iAcuity Fintech-Kākināda
domain At least 3+ years post Bachelors Or at least one internship post during Masters in Data Science AI Roles Or passionate people who have contributed to open source projects Kaggle Github. Education - Bachelor degree in Statistics / Mathematics...
CloudLabs Inc-Kākināda
and stakeholders to define and implement improvements to the supply chain planning solutions spanning: Demand planning (including statistical/consensus forecasting) supply planning, capacity planning (constraints), PP&S, MRP, DRP, MEIO, and SI&OP.
This person...
XLByte Private Limited-Kākināda
analysis. 3. Candidate should have good understanding on data collection and cleaning data from various sources such as databases, websites, using tools such as SQL and Python. 4. Candidate should be able to Analyze and interpret data using statistical...
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